Inner Chapter · Signals · US

SignalsUnited States

Methodology · Sample & age break

Who we heard from

  China US Korea Japan Global
Total 1000 1000 1000 1000 4000
Gen Z (ages 15-29) 688 679 682 669 2718
Students (15-21) 301 300 311 305 1217
First jobbers (22-25) 181 232 169 152 734
Older (26-29) 206 147 202 212 767
Millennials (ages 30-43) 271 271 242 261 1045
Younger (30-35) 136 146 135 115 532
Older (36-43) 135 125 107 146 513
Gen X (ages 44-50) 41 50 76 70 237

Lightning Round

Cross-market pulse · Gen Z (15–29)
Q.01

Change of Trust in Social Media

Nowadays, do you trust social media more or less?

BASE · Among Gen Z (15-29) | Response in % | Note: ↑ indicates the higher % of this group is statistically significant; same for all below
CROSS-MARKET · GEN ZUS = TARGET
Trust it more
CHINA
28
US
41 ↑
KOREA
26
JAPAN
16
Trust it less
CHINA
38
US
35
KOREA
45 ↑
JAPAN
46 ↑
No change
CHINA
35 ↑
US
24
KOREA
29
JAPAN
38 ↑
Raw data table
  China US Korea Japan
Trust it more 28 41 ↑ 26 16
Trust it less 38 35 45 ↑ 46 ↑
No change 35 ↑ 24 29 38 ↑
Observations
  • US Gen Z shows the highest increase in trust (41%) – significantly higher than all other markets, suggesting either stronger platform engagement or successful rebuilding of trust after previous controversies.
  • Korea and Japan Gen Z are the most skeptical – 45% and 46% trust social media less, reflecting growing concerns about misinformation, algorithmic manipulation, or platform credibility in these markets.
  • China Gen Z shows the most balanced sentiment – roughly one-third in each category (28% more, 38% less, 35% no change), indicating divided opinions possibly shaped by diverse platform ecosystems and varying user experiences.
  • About 1 in 4 US Gen Z report no change, the lowest among all markets, suggesting more dynamic shifts in how young Americans engage with and perceive social platforms.
Q.02

Top Non-Negotiables Amid Rising Prices

What’s the one thing you still won’t compromise on, even if prices rise?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Fashion
CHINA
8
US
10
KOREA
12
JAPAN
6
Beauty
CHINA
12 ↑
US
7
KOREA
10
JAPAN
8
Food
CHINA
34 ↑
US
34 ↑
KOREA
27
JAPAN
38 ↑
Tech / gadgets
CHINA
13
US
9
KOREA
6
JAPAN
7
Experiences (travel, concerts, etc.)
CHINA
8
US
10
KOREA
14
JAPAN
21↑
Healthcare
CHINA
17
US
20 ↑
KOREA
14
JAPAN
15
Alcohol
CHINA
7
US
10 ↑
KOREA
17 ↑
JAPAN
4
Raw data table
  China US Korea Japan
Fashion 8 10 12 6
Beauty 12 ↑ 7 10 8
Food 34 ↑ 34 ↑ 27 38 ↑
Tech / gadgets 13 9 6 7
Experiences (travel, concerts, etc.) 8 10 14 21↑
Healthcare 17 20 ↑ 14 15
Alcohol 7 10 ↑ 17 ↑ 4
Observations
  • Food remains the universal baseline across all markets – 34% in China and US, 38% in Japan – reflecting its fundamental role as both necessity and comfort.
  • US Gen Z is significantly more protective of healthcare (20%) – nearly double Korea (14%) and higher than Japan (15%), highlighting the precarious nature of US healthcare access and its perceived value.
  • China Gen Z prioritizes beauty (12%) more than other markets – maintaining aesthetic investment even under economic pressure, consistent with cultural emphasis on appearance and self-presentation.
  • Japan Gen Z values experiences (21%) – the highest across all markets, suggesting that experiential consumption (travel, concerts) holds deep cultural and emotional significance.
  • Korea Gen Z holds firm on alcohol (17%) – significantly higher than all other markets.
Q.03

Responses to Rising Prices

When prices go up, what do you do?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Cut back on non-essentials
CHINA
36 ↑
US
28
KOREA
26
JAPAN
31
Look for cheaper alternatives
CHINA
13
US
32 ↑
KOREA
37 ↑
JAPAN
35 ↑
Buy less overall
CHINA
19
US
24 ↑
KOREA
27 ↑
JAPAN
20
No change
CHINA
32 ↑
US
16
KOREA
10
JAPAN
14
Raw data table
  China US Korea Japan
Cut back on non-essentials 36 ↑ 28 26 31
Look for cheaper alternatives 13 32 ↑ 37 ↑ 35 ↑
Buy less overall 19 24 ↑ 27 ↑ 20
No change 32 ↑ 16 10 14
Observations
  • China Gen Z shows the greatest resilience – 32% report no behavior change, double the rate in US (16%) and triple Korea/Japan (10%, 14%), possibly indicating delayed inflation impact, and different spending patterns. China Gen Z also would rather cut down non-essentials (36%) rather than cheaper substitutions – making conditional concessions.
  • Korea and Japan Gen Z are the most price-reactive, 1 in 3 looking for cheaper alternatives, showing active trading-down behavior in response to economic pressures.
  • US Gen Z is also shifting behavior – 1 in 3 seeking cheaper alternatives and 1 in 4 buying less overall, indicating widespread adaptation to sustained cost-of-living concerns.
Q.04

Emotional Responses to Economic Tensions

Global conflicts and economic tensions make you feel (such as tariff, trade talks)…

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Anxious
CHINA
8
US
26 ↑
KOREA
27 ↑
JAPAN
36 ↑
Motivated to stay informed
CHINA
52 ↑
US
37
KOREA
40 ↑
JAPAN
33
Numb – it’s too much
CHINA
11
US
12
KOREA
16
JAPAN
14
Indifferent – doesn’t affect me much
CHINA
29 ↑
US
25 ↑
KOREA
17
JAPAN
16
Raw data table
  China US Korea Japan
Anxious 8 26 ↑ 27 ↑ 36 ↑
Motivated to stay informed 52 ↑ 37 40 ↑ 33
Numb – it’s too much 11 12 16 14
Indifferent – doesn’t affect me much 29 ↑ 25 ↑ 17 16
Observations
  • Japan Gen Z is the most anxious (36%) about global conflicts and economic tensions, reflecting Japan's economic vulnerabilities and geopolitical position.
  • China Gen Z is the most motivated to stay informed (52%) – suggesting a wait-and-see mindset.
  • China and US Gen Z show relatively higher indifference (29% and 25%) compared to Korea (17%) and Japan (16%), though for potentially different reasons – China may feel insulated by domestic narratives, while US youth may experience information fatigue.
  • About 1 in 8 to 1 in 6 across all markets feel numb – showing that information overload and emotional exhaustion are universal challenges for young consumers.
Q.05

#1 Financial Priority

What’s your #1 financial priority right now?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Saving
CHINA
33
US
32
KOREA
33
JAPAN
34
Paying off debt
CHINA
3
US
9
KOREA
6
JAPAN
6
Investing
CHINA
14
US
16
KOREA
24 ↑
JAPAN
15
Spending on things that bring joy
CHINA
40 ↑
US
18
KOREA
25
JAPAN
33
Supporting family
CHINA
9
US
25 ↑
KOREA
12
JAPAN
12
Raw data table
  China US Korea Japan
Saving 33 32 33 34
Paying off debt 3 9 6 6
Investing 14 16 24 ↑ 15
Spending on things that bring joy 40 ↑ 18 25 33
Supporting family 9 25 ↑ 12 12
Observations
  • Saving is remarkably consistent across all markets – 1 in 3 prioritize saving – showing a universal baseline of financial caution among Gen Z globally.
  • Chinese Gen Z distinctively prioritizes spending on things that bring joy (40%), a lifestyle-first mindset even amid uncertainty.
  • US Gen Z uniquely prioritizes supporting family (25%). This could reflect an independent and family-oriented culture, as well as the high cost of living in the US for Gen Z (childcare, healthcare, etc.).
  • Korean Gen Z is the most investment-focused (24%), indicating stronger belief in wealth-building through markets despite economic headwinds.
Q.06

What Feels Like Luxury

What feels like luxury to you these days?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Eating out
CHINA
6
US
16 ↑
KOREA
10
JAPAN
16
Traveling
CHINA
14
US
19
KOREA
22
JAPAN
34 ↑
Time off
CHINA
9
US
13
KOREA
10
JAPAN
12
Having no financial anxiety
CHINA
27 ↑
US
27 ↑
KOREA
15
JAPAN
20
High-quality basics (clothes, skincare, tech)
CHINA
44 ↑
US
25 ↑
KOREA
43 ↑
JAPAN
19
Raw data table
  China US Korea Japan
Eating out 6 16 ↑ 10 16
Traveling 14 19 22 34 ↑
Time off 9 13 10 12
Having no financial anxiety 27 ↑ 27 ↑ 15 20
High-quality basics (clothes, skincare, tech) 44 ↑ 25 ↑ 43 ↑ 19
Observations
  • High-quality basics feel like luxury to China (44%) and Korea (43%) – elevated everyday essentials represent aspiration in these markets.
  • Japan Gen Z uniquely values travel as luxury (34%), possibly reflecting pent-up desire for experiences after economic stagnation – this aligns with experiences being their non-negotiables.
  • Having no financial anxiety is the ultimate luxury for China and US Gen Z (27% each) – significantly higher than Korea (15%), revealing that psychological peace around money feels increasingly unattainable.
Q.07

Sentiment About Financial Future

How optimistic are you about your financial future?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Very optimistic
CHINA
38 ↑
US
39 ↑
KOREA
20
JAPAN
12
Cautiously hopeful
CHINA
24
US
29
KOREA
27
JAPAN
35 ↑
Neutral
CHINA
33
US
22
KOREA
33
JAPAN
26
Pessimistic
CHINA
5
US
10
KOREA
20 ↑
JAPAN
26 ↑
Raw data table
  China US Korea Japan
Very optimistic 38 ↑ 39 ↑ 20 12
Cautiously hopeful 24 29 27 35 ↑
Neutral 33 22 33 26
Pessimistic 5 10 20 ↑ 26 ↑
Observations
  • China and US Gen Z are the most optimistic.
  • Japan Gen Z is the most pessimistic (26%) – significantly higher than all other markets, reflecting decades of economic stagnation and limited growth prospects.
  • Korea Gen Z shows a concerning 1 in 5 pessimistic (20%), combined with 33% neutral, suggesting cautious skepticism about economic mobility.
  • Within optimism, there are differences – US and China lead in "very optimistic," while Japan leads in "cautiously hopeful (35%)," showing more hedged expectations.
Q.08

What's Most Important in a Job

What’s most important in a job today for you?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Stability & benefits
CHINA
28
US
29
KOREA
30
JAPAN
28
Flexibility & freedom
CHINA
24
US
21
KOREA
20
JAPAN
26 ↑
Mission & purpose
CHINA
10
US
20 ↑
KOREA
10
JAPAN
14
Salary & growth potential
CHINA
38 ↑
US
31
KOREA
39 ↑
JAPAN
32
Raw data table
  China US Korea Japan
Stability & benefits 28 29 30 28
Flexibility & freedom 24 21 20 26 ↑
Mission & purpose 10 20 ↑ 10 14
Salary & growth potential 38 ↑ 31 39 ↑ 32
Observations
  • Stability & benefits is the consistent across all 4 markets.
  • Key distinctions are in Mission and purpose, uniquely pursued by US Gen Z vs. Salary and growth potential – prioritized by China and Korea Gen Z, pragmatic focus on financial advancement and career trajectory.
  • Overall Gen Z in US show more balanced values in what they pursue in a job. Gen Z in Asia are more driven by practicality / lifestyle rather than ideology.
Q.09

Views on GLP-1 Medication for Weight Loss

Which statement comes closest to your view on GLP-1 medication for weight loss (e.g., Ozempic, Zepbound, Wegovy)?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
They are changing body standards
CHINA
17 ↑
US
15
KOREA
12
JAPAN
10
They are mainly a health solution
CHINA
19 ↑
US
17
KOREA
19 ↑
JAPAN
14
They create unhealthy pressure to be skinny
CHINA
20
US
24
KOREA
25
JAPAN
22
They don’t really affect society
CHINA
9
US
10
KOREA
10
JAPAN
8
The perspective that skinny is more beautiful is back
CHINA
8
US
18 ↑
KOREA
13
JAPAN
10
Not familiar enough to say
CHINA
27 ↑
US
17
KOREA
20
JAPAN
35 ↑
Raw data table
  China US Korea Japan
They are changing body standards 17 ↑ 15 12 10
They are mainly a health solution 19 ↑ 17 19 ↑ 14
They create unhealthy pressure to be skinny 20 24 25 22
They don’t really affect society 9 10 10 8
The perspective that skinny is more beautiful is back 8 18 ↑ 13 10
Not familiar enough to say 27 ↑ 17 20 35 ↑
Observations
  • Significantly more China and Japan Gen Z are less familiar to this topic.
  • Most Gen Z across 4 markets agree GLP-1 meds somehow impact the society one way or the other.
  • Almost 1 in 2 US Gen Z and over 1 in 3 Korea Gen Z see it impacting their society negatively
Q.10

Alternative Finance & Cryptocurrency

What do you think best describes why people are turning to alternative ways of making or managing money (such BitCoin, Etherium, etc.)?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Traditional systems feel too slow
CHINA
8
US
9
KOREA
8
JAPAN
8
Traditional systems feel unfair
CHINA
6
US
11
KOREA
10
JAPAN
8
Higher returns are worth higher risk
CHINA
17
US
16
KOREA
30 ↑
JAPAN
17
Lack of trust in banks or institutions
CHINA
7
US
9
KOREA
9
JAPAN
9
Influence from social media or peers
CHINA
11
US
18 ↑
KOREA
11
JAPAN
15 ↑
Optimistically embracing unconventional opportunities
CHINA
21 ↑
US
12
KOREA
11
JAPAN
9
People truly believe in alternative finance
CHINA
10 ↑
US
14 ↑
KOREA
9
JAPAN
7
Not familiar enough to say
CHINA
19 ↑
US
12
KOREA
13
JAPAN
28 ↑
Raw data table
  China US Korea Japan
Traditional systems feel too slow 8 9 8 8
Traditional systems feel unfair 6 11 10 8
Higher returns are worth higher risk 17 16 30 ↑ 17
Lack of trust in banks or institutions 7 9 9 9
Influence from social media or peers 11 18 ↑ 11 15 ↑
Optimistically embracing unconventional opportunities 21 ↑ 12 11 9
People truly believe in alternative finance 10 ↑ 14 ↑ 9 7
Not familiar enough to say 19 ↑ 12 13 28 ↑
Observations
  • Again, China and Japan show highest humility / lowest familiarity among 4 markets.
  • Across markets, most Gen Z don’t see alternative finance as a lack of faith in conventional / institutional finance system (across markets <20%). Instead, they see this trend as people’s positive / optimistic response to what’s offered in the financial market (20%-31%).
  • Nearly 2 in 10 US Gen Z cite social media influence, showing the power of crypto influencers and viral investment content in American digital culture
Q.11

Biggest Long-Term Threat to Humanity

What do you think poses the biggest long-term threat to humanity?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Climate and environmental collapse
CHINA
24 ↑
US
19
KOREA
21
JAPAN
21
War or geopolitical conflict
CHINA
24 ↑
US
22 ↑
KOREA
17
JAPAN
28 ↑
Technology or AI risks
CHINA
14
US
18
KOREA
21 ↑
JAPAN
17
Economic system failure
CHINA
13
US
13
KOREA
21 ↑
JAPAN
14
Individuals who abuse their power (political, wealth, or technological, etc.)
CHINA
18 ↑
US
21 ↑
KOREA
16
JAPAN
13
I don’t believe there is a major threat
CHINA
7
US
8
KOREA
4
JAPAN
7
Raw data table
  China US Korea Japan
Climate and environmental collapse 24 ↑ 19 21 21
War or geopolitical conflict 24 ↑ 22 ↑ 17 28 ↑
Technology or AI risks 14 18 21 ↑ 17
Economic system failure 13 13 21 ↑ 14
Individuals who abuse their power (political, wealth, or technological, etc.) 18 ↑ 21 ↑ 16 13
I don’t believe there is a major threat 7 8 4 7
Observations
  • Over 90% Gen Z in each market acknowledges there is long-term threat to humanity. Geopolitics and concentrated authority ranked consistently highest / high across 4 markets.
  • Additionally, Gen Z in Asia see climate change as a big threat.
  • And Korea Gen Z see technology and economic system as the biggest threat, showing real anxieties about automation and systemic economic vulnerabilities.
Q.12

Online Male Role Models & "Masculinity" Content

Which best describes how you feel about online male role models and “masculinity” content?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
I welcome it – the society needs views like this to be more balanced
CHINA
22 ↑
US
18
KOREA
7
JAPAN
12
They provide useful guidance
CHINA
28 ↑
US
25
KOREA
18
JAPAN
17
Some are positive, some are harmful
CHINA
31
US
35
KOREA
43 ↑
JAPAN
39
They promote unhealthy values
CHINA
5
US
9
KOREA
12
JAPAN
6
I avoid this kind of content
CHINA
1
US
5
KOREA
5
JAPAN
5
Not familiar with it
CHINA
13 ↑
US
7
KOREA
16 ↑
JAPAN
23 ↑
Raw data table
  China US Korea Japan
I welcome it – the society needs views like this to be more balanced 22 ↑ 18 7 12
They provide useful guidance 28 ↑ 25 18 17
Some are positive, some are harmful 31 35 43 ↑ 39
They promote unhealthy values 5 9 12 6
I avoid this kind of content 1 5 5 5
Not familiar with it 13 ↑ 7 16 ↑ 23 ↑
Observations
  • Very few Gen Z would avoid such content (the algorithm has successfully surfaced it), and most of them are familiar with it.
  • Among those who are familiar, 3 or 4 in 10 holds a balanced view, highest in Korea, while most of them see it positively, particularly among China Gen Z, suggesting these perspectives fill a perceived gap in cultural discourse.
  • Japan Gen Z has low familiarity – either less algorithmic promotion or less cultural resonance of these creators.
Q.13

Experience of Being Single

Which best reflects how people your age experience being single today?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
More freedom and independence
CHINA
34 ↑
US
29
KOREA
34 ↑
JAPAN
27
Emotional needs are harder to meet
CHINA
11
US
16 ↑
KOREA
12
JAPAN
9
Less social pressure than before
CHINA
12
US
8
KOREA
14
JAPAN
12
More loneliness
CHINA
6
US
13
KOREA
11
JAPAN
13
A normal way of living – no better or worse than having a spouse
CHINA
28 ↑
US
26
KOREA
22
JAPAN
24
I’m not sure
CHINA
9
US
8
KOREA
7
JAPAN
13
Raw data table
  China US Korea Japan
More freedom and independence 34 ↑ 29 34 ↑ 27
Emotional needs are harder to meet 11 16 ↑ 12 9
Less social pressure than before 12 8 14 12
More loneliness 6 13 11 13
A normal way of living – no better or worse than having a spouse 28 ↑ 26 22 24
I’m not sure 9 8 7 13
Observations
  • Across markets, most Gen Z sees singledom as a positive or normal lifestyle, particularly in China and Korea.
  • Significantly more US Gen Z recognize the negative side of navigating single life, although a lower proportion compared to more positive views.
Q.14

AI Impact on Jobs (Next 3 Years)

What do you think AI will mostly do to jobs in the next 3 years?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Create more jobs than it replaces
CHINA
19 ↑
US
23 ↑
KOREA
16
JAPAN
15
Replace many existing jobs
CHINA
14
US
24 ↑
KOREA
35 ↑
JAPAN
26 ↑
Change how most jobs are done
CHINA
31 ↑
US
25
KOREA
25
JAPAN
21
Mostly affect certain industries only
CHINA
21
US
19
KOREA
16
JAPAN
21
Still too early to tell
CHINA
14 ↑
US
9
KOREA
8
JAPAN
16 ↑
Raw data table
  China US Korea Japan
Create more jobs than it replaces 19 ↑ 23 ↑ 16 15
Replace many existing jobs 14 24 ↑ 35 ↑ 26 ↑
Change how most jobs are done 31 ↑ 25 25 21
Mostly affect certain industries only 21 19 16 21
Still too early to tell 14 ↑ 9 8 16 ↑
Observations
  • China and Japan Gen Z continue to be most cautions when predicting future impact.
  • Korea Gen Z shows a most pessimistic view towards AI – 1 in 3 believes AI may replace job – consistent with their prediction of AI being the biggest threat to humanity.
  • China Gen Z appears to be most optimistic about AI – about 1.4 in 10 see it as a threat to their future jobs – also reflecting their belief in adaptation rather than displacement.
  • US Gen Z is split between job creation and replacement, showing divided opinions on whether AI is net positive or negative for employment.
Q.15

Views of Ultra-Rich Individuals

Which statement comes closest to your view of ultra-rich individuals?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
They deserve their wealth
CHINA
17
US
19
KOREA
21
JAPAN
14
They should contribute more to society
CHINA
31 ↑
US
38 ↑
KOREA
28
JAPAN
29
Their wealth is a sign of system imbalance
CHINA
17
US
18
KOREA
17
JAPAN
16
Their wealth is a result of innovation
CHINA
21 ↑
US
16
KOREA
19
JAPAN
17
I don’t have strong feelings
CHINA
14 ↑
US
9
KOREA
15 ↑
JAPAN
23 ↑
Raw data table
  China US Korea Japan
They deserve their wealth 17 19 21 14
They should contribute more to society 31 ↑ 38 ↑ 28 29
Their wealth is a sign of system imbalance 17 18 17 16
Their wealth is a result of innovation 21 ↑ 16 19 17
I don’t have strong feelings 14 ↑ 9 15 ↑ 23 ↑
Observations
  • Globally, Gen Z believes ultra-rich individuals should give more to the society (about 1 in 3, particularly in China and US).
  • The rest of opinions are divided among acceptance, disappointment with the social/financial system, an outcome of innovation, or feeling distant to this topic.
  • Significantly more China Gen Z is more likely to see their wealth as an outcome of innovation – showing acceptance of tech entrepreneurship narratives or wealth creation.
Q.16

Global Institutions Focus

What should global institutions focus on most right now?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Human wellbeing and basic needs
CHINA
15 ↑
US
28 ↑
KOREA
16 ↑
JAPAN
11
Economic stability and growth
CHINA
30
US
28
KOREA
31
JAPAN
29
Climate and environmental protection
CHINA
20 ↑
US
19
KOREA
21 ↑
JAPAN
13
Peace and conflict prevention
CHINA
28
US
21
KOREA
26
JAPAN
36 ↑
I don’t trust global institutions
CHINA
7
US
4
KOREA
6
JAPAN
12
Raw data table
  China US Korea Japan
Human wellbeing and basic needs 15 ↑ 28 ↑ 16 ↑ 11
Economic stability and growth 30 28 31 29
Climate and environmental protection 20 ↑ 19 21 ↑ 13
Peace and conflict prevention 28 21 26 36 ↑
I don’t trust global institutions 7 4 6 12
Observations
  • The majority of Gen Z globally hasn’t lost faith in global institutions.
  • US Gen Z prioritizes human wellbeing and basic needs – showing more humanitarian-focused global outlook – as important as economic security, which ranks top priority among China and Korea Gen Z.
  • Japan Gen Z prioritizes geopolitical stability among all aspects.
Q.17

What Will Define Global Pop Culture

What will most define global pop culture in the next few years?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Creator-led social platforms (e.g., TikTok, YouTube, influencers)
CHINA
12
US
28 ↑
KOREA
21 ↑
JAPAN
17
AI-created and AI-assisted content (music, visuals, stories)
CHINA
32 ↑
US
20
KOREA
28 ↑
JAPAN
23
Interactive digital worlds (gaming, metaverse, virtual experiences)
CHINA
17 ↑
US
9
KOREA
7
JAPAN
6
Streaming entertainment (film, TV, K-content, global series)
CHINA
10
US
17 ↑
KOREA
21 ↑
JAPAN
16
Musica scenes and fan communities
CHINA
4
US
7
KOREA
8
JAPAN
14 ↑
Fashion, design, and visual aesthetics
CHINA
11
US
11
KOREA
8
JAPAN
7
I don’t have a strong opinion on this
CHINA
14 ↑
US
9
KOREA
7
JAPAN
16 ↑
Raw data table
  China US Korea Japan
Creator-led social platforms (e.g., TikTok, YouTube, influencers) 12 28 ↑ 21 ↑ 17
AI-created and AI-assisted content (music, visuals, stories) 32 ↑ 20 28 ↑ 23
Interactive digital worlds (gaming, metaverse, virtual experiences) 17 ↑ 9 7 6
Streaming entertainment (film, TV, K-content, global series) 10 17 ↑ 21 ↑ 16
Musica scenes and fan communities 4 7 8 14 ↑
Fashion, design, and visual aesthetics 11 11 8 7
I don’t have a strong opinion on this 14 ↑ 9 7 16 ↑
Observations
  • Globally, AI content is consistently seen as a top force defining pop culture
  • Particularly among China Gen Z who believes AI-created content will dominate, showing China’s aggressive AI development and cultural openness to synthetic content
  • US Gen Z sees creator-led platforms as most influential. This reflects the dominance of American creator economy
  • US and Korea Gen Z values both AI content and streaming entertainment, which shows their position as tech innovator and cultural content exporter in both markets
Q.18

Job Market Advantage

In today's job market, what can give people the greatest advantage?

BASE · Among Gen Z (15-29) | Response in %
CROSS-MARKET · GEN ZUS = TARGET
Having the right degree / diploma
CHINA
8
US
13 ↑
KOREA
12
JAPAN
14
Having strong, up-to-date skills
CHINA
20
US
25 ↑
KOREA
18
JAPAN
22
Having the right connections
CHINA
22 ↑
US
20 ↑
KOREA
12
JAPAN
16
Having proven experience
CHINA
18
US
20
KOREA
23 ↑
JAPAN
20
Knowing how to embrace AI at work
CHINA
21 ↑
US
11
KOREA
20 ↑
JAPAN
11
It depends on the field
CHINA
9
US
11
KOREA
15 ↑
JAPAN
16 ↑
Raw data table
  China US Korea Japan
Having the right degree / diploma 8 13 ↑ 12 14
Having strong, up-to-date skills 20 25 ↑ 18 22
Having the right connections 22 ↑ 20 ↑ 12 16
Having proven experience 18 20 23 ↑ 20
Knowing how to embrace AI at work 21 ↑ 11 20 ↑ 11
It depends on the field 9 11 15 ↑ 16 ↑
Observations
  • Across 4 markets, degree/diploma is seen as least important giving people the advantage in starting / changing career – a universal shift away from credentialism towards demonstrated capabilities.
  • China Gen Z equally holds on to both tradition (connections) as well as the latest technology.
  • US and Japan Gen Z appear to be most old-school – still believing skills, connections and experience.
  • Korea (and China) Gen Z are quick to adapt to the latest development – AI/Tech and related experience – a more nuanced, context-dependent view of success factors.
Section

Values and Mindsets

United States
Q.19

Value Statements

Below are some descriptions about how people feel about life or lifestyle. How much do you agree or disagree with each description?

BASE · Among Gen Z (15-29) | Response in % | Top 2 Box (Strongly agree or Agree)
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Stability vs. new excitement Stability is more important than new excitement for me
24W1
71
24W2
70
25W1
79 ↑
25W2
79 ↑
0
Risk-taking I’d rather take a risk than missing out on a good opportunity
24W1
72
24W2
71
25W1
70
25W2
69
▼ 1
Wellbeing I actively care for my mental and emotional health
24W1
81
24W2
82
25W1
85
25W2
86 ↑
▲ 1
Material stability It’s my first priority to maintain material stability in my life
24W1
68
24W2
65
25W1
77 ↑
25W2
77 ↑
0
Belonging It’s important for me to belong to a community (shared values, interests, or goals)
24W1
66
24W2
62
25W1
79 ↑
25W2
79 ↑
0
Relationship I actively build meaningful, supportive relationships
24W1
80
24W2
80
25W1
83
25W2
85 ↑
▲ 2
Fit in I prefer to fit in (rather than stand out)
24W1
52 ↑
24W2
42
25W1
59 ↑
25W2
65 ↑
▲ 6
Authenticity I strive to be true to myself, embracing both strengths and flaws
24W1
81
24W2
85 ↑
25W1
83
25W2
86 ↑
▲ 3
Fulfilling work I get personal satisfaction from my job / school work
24W1
70
24W2
65
25W1
76 ↑
25W2
78 ↑
▲ 2
Recognition It’s important for me to be recognized for my efforts at work, school or simply life
24W1
76
24W2
73
25W1
79
25W2
82 ↑
▲ 3
Ambition I am focused on success and actively pursue success in my personal and professional life
24W1
76
24W2
73
25W1
82 ↑
25W2
86 ↑
▲ 4
Lying flat I’m not chasing the rat race; I prefer to avoid a competitive or work-/school-driven lifestyle
24W1
57
24W2
57
25W1
65 ↑
25W2
63 ↑
▼ 2
Success I set small goals for myself, instead of pursuing grand success defined by social norms
24W1
74
24W2
75
25W1
73
25W2
73
0
Curiosity I believe curiosity is critical to continue to grow as a person
24W1
82
24W2
80
25W1
83
25W2
80
▼ 3
Environment As much as I can, I live a lifestyle that’s environmental friendly (e.g. reduce waste, recycle and reuse, reduce carbon emission)
24W1
68
24W2
65
25W1
75 ↑
25W2
76 ↑
▲ 1
Fun Having fun is the most important aspect of life – live in the moment
24W1
77
24W2
75
25W1
79
25W2
80
▲ 1
New excitement I constantly seek activities or things that’ll bring new excitement to my life
24W1
75
24W2
72
25W1
80 ↑
25W2
80 ↑
0
Outdoor I try to get outdoors as much as possible
24W1
69
24W2
66
25W1
74 ↑
25W2
76 ↑
▲ 2
Looking good It’s important for me to look attractive and appealing
24W1
74
24W2
71
25W1
76
25W2
79 ↑
▲ 3
Early adopter I’m usually the first one among people around me to try new things (innovation, technology, style, etc.)
24W1
61
24W2
55
25W1
67 ↑
25W2
Raw data table
  24W1 24W2 25W1 25W2
Safety/Stability
Stability vs. new excitement Stability is more important than new excitement for me 71 70 79 ↑ 79 ↑
Risk-taking I’d rather take a risk than missing out on a good opportunity 72 71 70 69
Wellbeing I actively care for my mental and emotional health 81 82 85 86 ↑
Material stability It’s my first priority to maintain material stability in my life 68 65 77 ↑ 77 ↑
Belonging/Relationship
Belonging It’s important for me to belong to a community (shared values, interests, or goals) 66 62 79 ↑ 79 ↑
Relationship I actively build meaningful, supportive relationships 80 80 83 85 ↑
Fit in I prefer to fit in (rather than stand out) 52 ↑ 42 59 ↑ 65 ↑
Esteem/Accomplishment
Authenticity I strive to be true to myself, embracing both strengths and flaws 81 85 ↑ 83 86 ↑
Fulfilling work I get personal satisfaction from my job / school work 70 65 76 ↑ 78 ↑
Recognition It’s important for me to be recognized for my efforts at work, school or simply life 76 73 79 82 ↑
Growth/Fulfilment
Ambition I am focused on success and actively pursue success in my personal and professional life 76 73 82 ↑ 86 ↑
Lying flat I’m not chasing the rat race; I prefer to avoid a competitive or work-/school-driven lifestyle 57 57 65 ↑ 63 ↑
Success I set small goals for myself, instead of pursuing grand success defined by social norms 74 75 73 73
Curiosity I believe curiosity is critical to continue to grow as a person 82 80 83 80
Values/Lifestyle related
Environment As much as I can, I live a lifestyle that’s environmental friendly (e.g. reduce waste, recycle and reuse, reduce carbon emission) 68 65 75 ↑ 76 ↑
Fun Having fun is the most important aspect of life – live in the moment 77 75 79 80
New excitement I constantly seek activities or things that’ll bring new excitement to my life 75 72 80 ↑ 80 ↑
Outdoor I try to get outdoors as much as possible 69 66 74 ↑ 76 ↑
Looking good It’s important for me to look attractive and appealing 74 71 76 79 ↑
Early adopter I’m usually the first one among people around me to try new things (innovation, technology, style, etc.) 61 55 67 ↑
Observations
  • In general, growth trend in 2025 waves validated – scores jumped between 24W2 and 25W1 and held or grew further into 25W2. This rising trend is mostly driven by First jobbers (22-25 y.o.). Millennials show some increasing trend as well, but not among Gen X.
  • We see an interesting tension between ‘safety’ and ambition
  • Stability and Lying flat both rose, while risk-taking shows a steady downward trend (although not statistically significant).
  • At the same time, ambition and new excitement jumped to the highest since our tracker.
  • This may mean US Gen Z wants to build their success on a stable foundation.
  • The dimension of community, belonging, and fitting show steady and significant upward trend – signaling a pivot towards collective identity and social integration. This shift likely reflects Gen Z’s deepening hunger for like-mindedness that predates, and has been amplified by, the election cycle and the political climate under the new administration.
  • Mental health and authenticity are trending up, a baseline expectation Gen Z holds for themselves and brands they interact with.
Q.20

Definition / Meaning of Success

BASE · Among Gen Z (15-29) | Answer selections <=3 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Being happy with who I am
24W1
-
24W2
39
25W1
48 ↑
25W2
42
▼ 6
Building strong relationships, creating community
24W1
-
24W2
36
25W1
33
25W2
38
▲ 5
Constant personal growths, in work or life (new skills, better overall condition)
24W1
-
24W2
37
25W1
32
25W2
36
▲ 4
Achieving happiness despite things don’t always go the way I want
24W1
-
24W2
33
25W1
32
25W2
34
▲ 2
Making a positive impact in the world
24W1
-
24W2
28
25W1
35 ↑
25W2
34 ↑
▼ 1
Self-reliance or independence
24W1
-
24W2
40 ↑
25W1
35
25W2
30
▼ 5
Having autonomy and doing things that I enjoy in work or life
24W1
-
24W2
24
25W1
28
25W2
29 ↑
▲ 1
Achieving personal fulfillment from work / school
24W1
-
24W2
27
25W1
29
25W2
29
0
Achieving tangible, measurable goals
24W1
-
24W2
34 ↑
25W1
27
25W2
28
▲ 1
Raw data table
  24W1 24W2 25W1 25W2
Being happy with who I am - 39 48 ↑ 42
Building strong relationships, creating community - 36 33 38
Constant personal growths, in work or life (new skills, better overall condition) - 37 32 36
Achieving happiness despite things don’t always go the way I want - 33 32 34
Making a positive impact in the world - 28 35 ↑ 34 ↑
Self-reliance or independence - 40 ↑ 35 30
Having autonomy and doing things that I enjoy in work or life - 24 28 29 ↑
Achieving personal fulfillment from work / school - 27 29 29
Achieving tangible, measurable goals - 34 ↑ 27 28
Observations
  • Below are some descriptions of what success could look like. Can you please choose 3 descriptions that can best describe your view of success?
  • Success is becoming more internal and relational, less transactional. It appears to be defined away from outcomes/achievements and individualism toward feeling and connection.
  • “Being happy with who I am” is the #1 definition – although it dropped some, it still is the dominant one.
  • “Building strong relationships” shows some increase compared to 25W1 – continuing to be one of the top definitions.
  • “Self-reliance” fell sharply, and “Achieving tangible, measurable goals” also has kept at a lower level.
  • “Making a positive impact in the world” went up in 25W1 and held strong in W2. This is the only outward-looking definition of success that’s gaining ground, signaling that as internal stability gets established, purpose and contribution are becoming more important.
  • Relationships, personal growth, and happiness-despite-adversity all hover in the low-to-mid 30s and haven’t changed dramatically, showing these are consistent, durable values.
  • In summary, the traditional markers of success (goals, independence, achievement) are losing ground to softer, more existential ones which are more emotionally grounded, community-embedded and purpose driven.
Q.21

Topics Following Regularly

What topics have you followed the most in the past 6 months?

BASE · Among Gen Z (15-29) | Response in % | Answer selections <=5
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Healthy, active lifestyle
24W1
27
24W2
27
25W1
31
25W2
28
▼ 3
AI/future technologies
24W1
20
24W2
23
25W1
23
25W2
25 ↑
▲ 2
Work/life balance
24W1
27
24W2
29
25W1
28
25W2
24
▼ 4
Mental wellness
24W1
30 ↑
24W2
30 ↑
25W1
23
25W2
23
0
Trendy / new brands and brand events
24W1
20
24W2
24
25W1
24
25W2
22
▼ 2
Latest cultural, fashion trends
24W1
20
24W2
20
25W1
21
25W2
20
▼ 1
Environmental policies and initiatives / Global warming
24W1
17
24W2
19
25W1
19
25W2
19
0
Domestic sports event
24W1
18
24W2
22 ↑
25W1
22 ↑
25W2
19
▼ 3
International events
24W1
18
24W2
19
25W1
19
25W2
18
▼ 1
Continued learning
24W1
16
24W2
15
25W1
16
25W2
17
▲ 1
Job market (popular jobs/industries, lay-offs, etc.)
24W1
17
24W2
21 ↑
25W1
14
25W2
16
▲ 2
International sports event
24W1
21 ↑
24W2
14
25W1
17
25W2
16
▼ 1
Life, lifestyle related with being single
24W1
15
24W2
10
25W1
14
25W2
16
▲ 2
Gender equality and its issues
24W1
13
24W2
15
25W1
15
25W2
15
0
Embracing outdoors and nature (camping, backpacking, watersports, snow sports, etc.)
24W1
16
24W2
15
25W1
16
25W2
14
▼ 2
Work style (e.g. hybrid style, digital nomad)
24W1
12
24W2
10
25W1
12
25W2
14 ↑
▲ 2
Celebrities / famous business people
24W1
17
24W2
15
25W1
14
25W2
13
▼ 1
Social issues related to bullying and its justice
24W1
11
24W2
11
25W1
11
25W2
12
▲ 1
XR technology (Virtual Reality / Augmented Reality / Mixed Reality)
24W1
11
24W2
11
25W1
11
25W2
12
▲ 1
Stock market
24W1
11
24W2
12 ↑
25W1
9
25W2
11
▲ 2
Travel / latest visa policies
24W1
13
24W2
11
25W1
12
25W2
11
▼ 1
Feminism
24W1
10
24W2
8
25W1
11
25W2
10
▼ 1
Niche (passion/interest) communities and events
24W1
11
24W2
13
25W1
12
25W2
10
▼ 2
International financial situation
24W1
-
24W2
-
25W1
8
25W2
9
▲ 1
An aging society and its issues
24W1
8
24W2
7
25W1
8
25W2
9
▲ 1
Currency exchange rates
24W1
6
24W2
7
25W1
8
25W2
8
0
Real estate industry
24W1
7
24W2
9
25W1
6
25W2
6
0
Raw data table
  24W1 24W2 25W1 25W2
Healthy, active lifestyle 27 27 31 28
AI/future technologies 20 23 23 25 ↑
Work/life balance 27 29 28 24
Mental wellness 30 ↑ 30 ↑ 23 23
Trendy / new brands and brand events 20 24 24 22
Latest cultural, fashion trends 20 20 21 20
Environmental policies and initiatives / Global warming 17 19 19 19
Domestic sports event 18 22 ↑ 22 ↑ 19
International events 18 19 19 18
Continued learning 16 15 16 17
Job market (popular jobs/industries, lay-offs, etc.) 17 21 ↑ 14 16
International sports event 21 ↑ 14 17 16
Life, lifestyle related with being single 15 10 14 16
Gender equality and its issues 13 15 15 15
Embracing outdoors and nature (camping, backpacking, watersports, snow sports, etc.) 16 15 16 14
Work style (e.g. hybrid style, digital nomad) 12 10 12 14 ↑
Celebrities / famous business people 17 15 14 13
Social issues related to bullying and its justice 11 11 11 12
XR technology (Virtual Reality / Augmented Reality / Mixed Reality) 11 11 11 12
Stock market 11 12 ↑ 9 11
Travel / latest visa policies 13 11 12 11
Feminism 10 8 11 10
Niche (passion/interest) communities and events 11 13 12 10
International financial situation - - 8 9
An aging society and its issues 8 7 8 9
Currency exchange rates 6 7 8 8
Real estate industry 7 9 6 6
Observations
  • AI is the only topic with a consistent, unbroken upward trajectory. No other topic shows such steady climb. Similar with the China dataset. This generation is entering the workforce right as AI reshapes it, which tracks both personal and professional self-interest.
  • Similar with Chinese Gen Z, the topic of Mental wellness is stepping back in 2025. This may mean it’s becoming a normalized lifestyle instead of an interesting but distant topic to follow.
  • Work/life balance holds flat, indicating it’s a lifestyle US Gen Z expect, just like mental wellness.
  • Celebrity culture seems to be in free fall (17 -> 15 -> 14 ->13), although no statistical significance. Gen Z is tuning out traditional celebrity in favor creators and peer culture.
  • Work style is gaining Gen Z’s attention. Work style landscape has completely been changed coming out of pandemic and it probably has become an important factor when Gen Z evaluate job options.
Q.22

Words to Describe the Past 6 Months

If you can use 3 words or phrases to describe the past 6 months – it could be your feelings or your perspectives for the society, what words would you use?

BASE · Among Gen Z (15-29) | 3 Answers | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Positive
24W1
71
24W2
68
25W1
77 ↑
25W2
79 ↑
▲ 2
Hopeful / optimistic
24W1
19
24W2
18
25W1
24 ↑
25W2
26 ↑
▲ 2
Happy / joyful
24W1
21 ↑
24W2
16
25W1
23 ↑
25W2
25 ↑
▲ 2
Fun
24W1
18 ↑
24W2
14
25W1
20 ↑
25W2
21 ↑
▲ 1
Energetic
24W1
16
24W2
13
25W1
18 ↑
25W2
21 ↑
▲ 3
Thankful
24W1
19
24W2
23
25W1
19
25W2
16
▼ 3
Exciting / Excited
24W1
15
24W2
14
25W1
17
25W2
16
▼ 1
Adventurous / brave
24W1
11
24W2
10
25W1
12
25W2
13
▲ 1
Peaceful / Chill / Relaxed
24W1
12
24W2
13
25W1
15
25W2
12
▼ 3
Encouraged
24W1
8
24W2
11
25W1
10
25W2
11
▲ 1
Content
24W1
9
24W2
10
25W1
9
25W2
10
▲ 1
Negative
24W1
56 ↑
24W2
58 ↑
25W1
49
25W2
47
▼ 2
Stressful
24W1
21 ↑
24W2
21 ↑
25W1
15
25W2
13
▼ 2
Exhausted / Tired
24W1
17 ↑
24W2
16 ↑
25W1
14
25W2
11
▼ 3
Worried / Anxious
24W1
13
24W2
14
25W1
11
25W2
12
▲ 1
Depressed / Sad
24W1
10
24W2
13 ↑
25W1
8
25W2
9
▲ 1
Lost / Confused
24W1
9
24W2
9
25W1
8
25W2
8
0
Helpless
24W1
6
24W2
5
25W1
6
25W2
7
▲ 1
Defeated
24W1
5
24W2
5
25W1
4
25W2
6
▲ 2
Lonely
24W1
8
24W2
8
25W1
6
25W2
6
0
Disappointed
24W1
6
24W2
7 ↑
25W1
5
25W2
5
0
Numb
24W1
6
24W2
6
25W1
5
25W2
5
0
Angry
24W1
4
24W2
3
25W1
3
25W2
4
▲ 1
Neutral
24W1
38
24W2
41 ↑
25W1
40 ↑
25W2
34
▼ 6
Eventful
24W1
15
24W2
14
25W1
17
25W2
16
▼ 1
Routine
24W1
12
24W2
14
25W1
16
25W2
12
▼ 4
Uncertain
24W1
10
24W2
13
25W1
11
25W2
9
▼ 2
Detached / unengaged
24W1
8
24W2
9 ↑
25W1
6
25W2
6
0
Raw data table
  24W1 24W2 25W1 25W2
Positive 71 68 77 ↑ 79 ↑
Hopeful / optimistic 19 18 24 ↑ 26 ↑
Happy / joyful 21 ↑ 16 23 ↑ 25 ↑
Fun 18 ↑ 14 20 ↑ 21 ↑
Energetic 16 13 18 ↑ 21 ↑
Thankful 19 23 19 16
Exciting / Excited 15 14 17 16
Adventurous / brave 11 10 12 13
Peaceful / Chill / Relaxed 12 13 15 12
Encouraged 8 11 10 11
Content 9 10 9 10
Negative 56 ↑ 58 ↑ 49 47
Stressful 21 ↑ 21 ↑ 15 13
Exhausted / Tired 17 ↑ 16 ↑ 14 11
Worried / Anxious 13 14 11 12
Depressed / Sad 10 13 ↑ 8 9
Lost / Confused 9 9 8 8
Helpless 6 5 6 7
Defeated 5 5 4 6
Lonely 8 8 6 6
Disappointed 6 7 ↑ 5 5
Numb 6 6 5 5
Angry 4 3 3 4
Neutral 38 41 ↑ 40 ↑ 34
Eventful 15 14 17 16
Routine 12 14 16 12
Uncertain 10 13 11 9
Detached / unengaged 8 9 ↑ 6 6
Observations
  • Positive sentiment has risen over the year, while negative has fallen significantly. Gen Z is showing a genuine mood lift.
  • The stress and exhaustion drop is particularly significant. These were the dominant negative emotions in 2024. This aligns with the “lying flat” and work/life recalibration signals from the earlier data.
  • The positive emotions showing increases are active, not passive:
  • Hopeful, Happy, Energetic, Fun – not quiet or resigned feelings but actively engaged and forward-looking.
  • Thankful, Peaceful / chill are basically flat with small fluctuations.
  • Gen Z feel animated for the new year.
  • Neutral sentiment is compressing, signaling Gen Z is becoming less disengaged or checked-out.
Q.23

One thing that is going well / badly (new question in 25W2)

On top of your mind, what is going well in your life right now? And what is not going well in your life right now? · What is going well now? · What is not going well?

BASE · Among Gen Z (15-29) | Single answer | Response in %
GENERATIONAL BREAKDOWN · UNITED STATESZ · M · X
Relationship with family
GEN Z
11
MILLENNIAL
16 ↑
GEN X
20
School / education
GEN Z
10 ↑
MILLENNIAL
3
GEN X
2
Physical health
GEN Z
8
MILLENNIAL
9
GEN X
8
Mental health
GEN Z
8
MILLENNIAL
8
GEN X
6
Work-life balance
GEN Z
8
MILLENNIAL
8
GEN X
4
Ability to plan for the future
GEN Z
7
MILLENNIAL
8
GEN X
4
Friendship / social connections
GEN Z
7
MILLENNIAL
7
GEN X
8
Overall sense of fulfilment
GEN Z
7
MILLENNIAL
4
GEN X
6
Cost of living / daily expenses
GEN Z
7
MILLENNIAL
4
GEN X
2
Work / career
GEN Z
6
MILLENNIAL
6
GEN X
10
Relationship with digital devices / social media
GEN Z
5
MILLENNIAL
7
GEN X
2
Income stability
GEN Z
5
MILLENNIAL
5
GEN X
4
Exercise / physical activity habits
GEN Z
5
MILLENNIAL
5
GEN X
6
Housing situation
GEN Z
3
MILLENNIAL
4
GEN X
16 ↑
Everything
GEN Z
3
MILLENNIAL
5
GEN X
2
GENERATIONAL BREAKDOWN · UNITED STATESZ · M · X
Income stability
GEN Z
13
MILLENNIAL
13
GEN X
6
Ability to plan for the future
GEN Z
10
MILLENNIAL
8
GEN X
10
Cost of living / daily expenses
GEN Z
9
MILLENNIAL
8
GEN X
8
Work-life balance
GEN Z
8 ↑
MILLENNIAL
10 ↑
GEN X
-
Mental health
GEN Z
8
MILLENNIAL
7
GEN X
16 ↑
Relationship with family
GEN Z
8
MILLENNIAL
5
GEN X
14 ↑
Work / career
GEN Z
7
MILLENNIAL
8
GEN X
6
Overall sense of fulfilment
GEN Z
7
MILLENNIAL
6
GEN X
6
Physical health
GEN Z
6
MILLENNIAL
7
GEN X
8
Relationship with digital devices / social media
GEN Z
6
MILLENNIAL
4
GEN X
4
Exercise / physical activity habits
GEN Z
5
MILLENNIAL
10 ↑
GEN X
6
School / education
GEN Z
4
MILLENNIAL
3
GEN X
-
Friendship / social connections
GEN Z
4
MILLENNIAL
2
GEN X
6
Housing situation
GEN Z
3
MILLENNIAL
5
GEN X
-
Everything
GEN Z
3
MILLENNIAL
3
GEN X
8 ↑
Raw data table
  Gen Z Millennials Gen X
Relationship with family 11 16 ↑ 20
School / education 10 ↑ 3 2
Physical health 8 9 8
Mental health 8 8 6
Work-life balance 8 8 4
Ability to plan for the future 7 8 4
Friendship / social connections 7 7 8
Overall sense of fulfilment 7 4 6
Cost of living / daily expenses 7 4 2
Work / career 6 6 10
Relationship with digital devices / social media 5 7 2
Income stability 5 5 4
Exercise / physical activity habits 5 5 6
Housing situation 3 4 16 ↑
Everything 3 5 2
  Gen Z Millennials Gen X
Income stability 13 13 6
Ability to plan for the future 10 8 10
Cost of living / daily expenses 9 8 8
Work-life balance 8 ↑ 10 ↑ -
Mental health 8 7 16 ↑
Relationship with family 8 5 14 ↑
Work / career 7 8 6
Overall sense of fulfilment 7 6 6
Physical health 6 7 8
Relationship with digital devices / social media 6 4 4
Exercise / physical activity habits 5 10 ↑ 6
School / education 4 3 -
Friendship / social connections 4 2 6
Housing situation 3 5 -
Everything 3 3 8 ↑
Observations
  • Relationship with family leads at 11% for Gen Z, and it scales up consistently across generations (16% Millennials, 20% Gen X). This shows family is the most universal source of positivity across all three cohorts.
  • US Gen Z is feeling positive about school. Also more Gen Z feel good about school than those who sees it as worst aspect in life.
  • Financial anxiety items dominate the “not going well” side.
  • Top negatives are income stability, ability to plan for the future, cost of living.
  • Despite the mood lift in the sentiment data, the material reality of financial precarity is the defining pain point for Gen Z.
  • This is coherent with their negative perspective about work-life balance – personal life and leisure time sacrificed probably due to financial insecurity.
Q.24

Focus for the Coming 3-6 Months

Thinking ahead about the next 3-6 months, which aspects from the following list · will you focus on?

BASE · Among Gen Z (15-29) | Answer selections <=3 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Time with family/friends
24W1
39 ↑
24W2
40 ↑
25W1
30
25W2
31
▲ 1
Work/life balance
24W1
36 ↑
24W2
31
25W1
26
25W2
29
▲ 3
Personal development
24W1
31
24W2
34 ↑
25W1
27
25W2
29
▲ 2
Physical health
24W1
39 ↑
24W2
37 ↑
25W1
29
25W2
27
▼ 2
Mental/Emotional health
24W1
-
24W2
-
25W1
31 ↑
25W2
25
▼ 6
Personal finance
24W1
25
24W2
31 ↑
25W1
24
25W2
24
0
Entertainment
24W1
20
24W2
22
25W1
17
25W2
22
▲ 5
Do things that I myself like to do
24W1
31 ↑
24W2
32 ↑
25W1
24
25W2
20
▼ 4
Being in nature
24W1
19
24W2
18
25W1
18
25W2
18
0
Home improvement / renovation
24W1
-
24W2
-
25W1
11
25W2
15
▲ 4
Travel and adventures
24W1
21
24W2
19
25W1
19
25W2
14
▼ 5
Getting to know or use AI more
24W1
9
24W2
8
25W1
11 ↑
25W2
13 ↑
▲ 2
Raw data table
  24W1 24W2 25W1 25W2
Time with family/friends 39 ↑ 40 ↑ 30 31
Work/life balance 36 ↑ 31 26 29
Personal development 31 34 ↑ 27 29
Physical health 39 ↑ 37 ↑ 29 27
Mental/Emotional health - - 31 ↑ 25
Personal finance 25 31 ↑ 24 24
Entertainment 20 22 17 22
Do things that I myself like to do 31 ↑ 32 ↑ 24 20
Being in nature 19 18 18 18
Home improvement / renovation - - 11 15
Travel and adventures 21 19 19 14
Getting to know or use AI more 9 8 11 ↑ 13 ↑
Observations
  • It may look like there’s a great de-prioritization in 2025. But Mental/Emotional health and Home improvement/renovation were new options and likely absorbed selections that previously went elsewhere. Therefore, the drops are most likely a redistribution across more options.
  • The top focuses remain similar – family/community and self-growth, but with a balance.
  • AI’s rise after the introduction of new options are even more impressive – the only area that shows consistent growth, showing more Gen Z adopting a future-proof and forward-focus mindset.
Section

Lifestyle

United States
Q.25

Increased Time Spent by Activity

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Browsing social media platforms (Instagram, TikTok, Facebook, Reddit, X, YouTube, Threads, etc.)
24W1
43
24W2
40
25W1
38
25W2
43
▲ 5
Watching TV/movies at home
24W1
43
24W2
40
25W1
38
25W2
34
▼ 4
Time with friends
24W1
33
24W2
31
25W1
35
25W2
31
▼ 4
Resting / sleeping
24W1
36 ↑
24W2
38 ↑
25W1
31
25W2
26
▼ 5
Personal interests and hobbies
24W1
32 ↑
24W2
36 ↑
25W1
26
25W2
25
▼ 1
Self-development
24W1
30
24W2
32 ↑
25W1
26
25W2
25
▼ 1
Cooking
24W1
31
24W2
31
25W1
27
25W2
24
▼ 3
Time spent outdoors (a walk in the neighborhood, city, park, nature, etc.)
24W1
28
24W2
27
25W1
25
25W2
21
▼ 4
School / working at a paid job
24W1
30 ↑
24W2
27 ↑
25W1
21
25W2
20
▼ 1
Personal grooming (putting on makeup, shaving, etc.)
24W1
24
24W2
23
25W1
22
25W2
20
▼ 2
Time with your spouse or significant other
24W1
22
24W2
24
25W1
21
25W2
19
▼ 2
Reading a long-form book (fiction, non-fiction, poetry)
24W1
-
24W2
-
25W1
19
25W2
15
▼ 4
Reading magazines or newspapers, online or offline
24W1
18
24W2
17
25W1
15
25W2
13
▼ 2
None of the above
24W1
2
24W2
2
25W1
2
25W2
2
0
Raw data table
  24W1 24W2 25W1 25W2
Browsing social media platforms (Instagram, TikTok, Facebook, Reddit, X, YouTube, Threads, etc.) 43 40 38 43
Watching TV/movies at home 43 40 38 34
Time with friends 33 31 35 31
Resting / sleeping 36 ↑ 38 ↑ 31 26
Personal interests and hobbies 32 ↑ 36 ↑ 26 25
Self-development 30 32 ↑ 26 25
Cooking 31 31 27 24
Time spent outdoors (a walk in the neighborhood, city, park, nature, etc.) 28 27 25 21
School / working at a paid job 30 ↑ 27 ↑ 21 20
Personal grooming (putting on makeup, shaving, etc.) 24 23 22 20
Time with your spouse or significant other 22 24 21 19
Reading a long-form book (fiction, non-fiction, poetry) - - 19 15
Reading magazines or newspapers, online or offline 18 17 15 13
None of the above 2 2 2 2
Observations
  • Thinking of how you typically spend time daily, which activities have you spent more time on in the past 6 months compared to earlier, and which ones have you spent less time on?
  • Among Gen Z (15-29) | Multiple selections | Response in %
  • Overall direction: a broad-based deceleration. Almost every category is declining or flat across the four waves. Unlike the Chinese data which showed more volatility and some sharp recoveries, the US data shows a consistent, gradual pulling back across most activity types. US Gen Z appears to be doing less of almost everything tracked.
  • Social media is the only activity that held and bounced back. At 43%, it ties with where it started but now stands completely alone at the top — the gap to #2 (Watching TV at 34) has widened. This reflects the deepening stranglehold of algorithmic short-form content on US Gen Z's attention. They’re “scrolling more, doing less”.
  • Rest and sleep shows significant decline in 2025. Combined with the sentiment data showing stress and exhaustion declining, this may reflect Gen Z needed recovery in 2024 and has now re-engaged with life more actively.
  • Self-development and personal interests peaked in 24W2 and have now retreated to 25%. The initial burst of "investing in myself" appears to be cooling as routines stabilize and hustle culture fatigue sets in.
  • A methodological note: Long-form book reading was added in 25W1 at 19%, likely absorbing selections from self-development, personal interests, and magazines — so some of those declines are redistributive rather than purely behavioral.
Q.26

Drivers of Time Investment in Self-Development

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
[Personal growth] Acquiring new skills can enhance my life and personal growth
24W1
-
24W2
39
25W1
43
25W2
39
▼ 4
[Being prepared and adaptive] To be better prepared for the future as there is a lot of uncertainty (such as job security, economy, technology, etc.)
24W1
-
24W2
29
25W1
38
25W2
38
0
[Value of autonomy] It's a way of me prioritizing independence, self-reliance and personal freedom
24W1
-
24W2
36
25W1
39
25W2
34
▼ 5
[Enhancing career] Acquiring new skills can help enhance my career
24W1
-
24W2
35
25W1
33
25W2
32
▼ 1
[Better use of time] I want to use my time better outside work / school
24W1
-
24W2
33
25W1
32
25W2
32
0
[Entrepreneurial spirit] I want to be more prepared and maybe one day start my own business or become an independent freelancer
24W1
-
24W2
38
25W1
33
25W2
31
▼ 2
[Sense of belonging] It's a way of getting to know people who have similar interests or hobbies
24W1
-
24W2
21
25W1
26
25W2
30
▲ 4
[Mental health] To relieve stress from work / school and manage negative emotions better
24W1
-
24W2
31
25W1
21
25W2
23
▲ 2
[Diverse interests] My work / school doesn't give me strong enough sense of fulfillment
24W1
-
24W2
19
25W1
16
25W2
21
▲ 5
[Inspiration from social] I was inspired by what I saw people are doing on social media
24W1
-
24W2
17
25W1
21
25W2
21
0
Raw data table
  24W1 24W2 25W1 25W2
[Personal growth] Acquiring new skills can enhance my life and personal growth - 39 43 39
[Being prepared and adaptive] To be better prepared for the future as there is a lot of uncertainty (such as job security, economy, technology, etc.) - 29 38 38
[Value of autonomy] It's a way of me prioritizing independence, self-reliance and personal freedom - 36 39 34
[Enhancing career] Acquiring new skills can help enhance my career - 35 33 32
[Better use of time] I want to use my time better outside work / school - 33 32 32
[Entrepreneurial spirit] I want to be more prepared and maybe one day start my own business or become an independent freelancer - 38 33 31
[Sense of belonging] It's a way of getting to know people who have similar interests or hobbies - 21 26 30
[Mental health] To relieve stress from work / school and manage negative emotions better - 31 21 23
[Diverse interests] My work / school doesn't give me strong enough sense of fulfillment - 19 16 21
[Inspiration from social] I was inspired by what I saw people are doing on social media - 17 21 21
Observations
  • You mentioned that in the past 6 months, you've spent more time on actively learning outside work / school (such as a new skill or knowledge through online courses/by yourself). What are the most important or relevant reasons for that?
  • Among Gen Z (15-29) | Answer Selections = 3 | Response in %
  • The motivational landscape is rather flat. Unlike the Chinese Gen Z data which showed clear winners, the US motivations are compressed – most items sitting at 21-39% with limited wave-over-wave movement. US Gen Z’s reasons for self-learning are broadly distributed rather than concentrated around a few dominant drivers.
  • Personal growth leads, but it is paired with anxiety. Personal growth sounds internally driven (39%, #1) — but sitting directly behind it is "Being prepared and adaptive" (38%), which jumped sharply from just 29% in 24W2. Together they paint a picture of Gen Z learning not just to grow, but to survive. The rapid rise of AI tools, mass tech layoffs in 2023–24, and automation anxiety are likely key triggers. Unlike China where this motivation softened as confidence recovered, US Gen Z's preparedness anxiety is holding firm.
  • Entrepreneurial spirit has softened. The startup and side-hustle energy that defined Gen Z's early career mindset is cooling — possibly because the VC funding boom has collapsed, and the reality of building a business in a high-interest-rate, high-cost environment is more daunting. Unlike China Gen Z who are learning for autonomy and personal brand, US Gen Z's entrepreneurial ambition is on the retreat.
  • Sense of belonging as a learning motivation is rising. "Sense of belonging" climbed from 21% to 30% — the steepest upward trend in this table. This aligns with a wider cultural moment: in a post-pandemic US still dealing with a diagnosed loneliness epidemic (US Surgeon General advisory, 2023), Gen Z is using skill-building as a social act — coding bootcamps, online communities, craft circles, and language exchange groups.
  • Self-development has become less therapeutic. Early in the trend, self-development was partly a coping tool; increasingly it is becoming purposeful and outcome-oriented — less about managing distress, more about building capability.
  • Chinese vs. US Gen Z: it appears these two cohorts are learning for different reasons: Chinese Gen Z is becoming more assertively autonomous and entrepreneurially motivated – for them learning is a platform for independence, while US Gen Z is more defensively motivated - learning is a preparation for uncertainty, with belonging and fulfillment as secondary drivers. Although both are moving away from pure career enhancement, their emotional states are different.
Q.27

Drivers of Time Investment in Personal Interests

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
They bring me happiness
24W2
63
25W1
58
25W2
66
▲ 8
To relieve stress from work / school
24W2
52
25W1
49
25W2
47
▼ 2
It's a way of me prioritizing independence, self-reliance and personal freedom
24W2
41
25W1
47
25W2
41
▼ 6
I want to use my time better outside work / school
24W2
36
25W1
36
25W2
41
▲ 5
They align with my personal belief and values
24W2
36
25W1
32
25W2
36
▲ 4
It's a way of getting to know people with similar interests
24W2
27
25W1
31
25W2
35
▲ 4
I was inspired by what I saw people are doing on social media
24W2
25
25W1
22
25W2
34 ↑
▲ 12
Raw data table
  24W2 25W1 25W2
They bring me happiness 63 58 66
To relieve stress from work / school 52 49 47
It's a way of me prioritizing independence, self-reliance and personal freedom 41 47 41
I want to use my time better outside work / school 36 36 41
They align with my personal belief and values 36 32 36
It's a way of getting to know people with similar interests 27 31 35
I was inspired by what I saw people are doing on social media 25 22 34 ↑
Observations
  • You mentioned spending more time on personal interests/hobbies. What are the most important reasons?
  • Among Gen Z who spent more time on personal interests | Answer Selections = 3 | Response in %
  • Joy is the engine. Nearly 2 in 3 US Gen Z say hobbies bring them happiness — making it not just the top driver but one with significant margin. US Gen Z pursues personal interests primarily because they feel good, not for instrumental reasons.
  • To relieve stress dropped to 47% as hobbies become less about coping with anxiety and more about genuine enjoyment. Notably, the opposite is happening in China (stress relief rising sharply there), suggesting that Chinese Gen Z is under greater perceived pressure while US Gen Z is building a more positive relationship with leisure.
  • Social discovery is trending up, as TikTok and Instagram algorithm-surfaced content — from pottery to trail running to crochet — is directly translating to real-world hobby uptake. Hobbies are no longer found through friends or school.
  • Getting to know people grew steadily from 27% to 35%. This is coherent with the rise of belonging and community in the values data among US Gen Z.
  • The shift in the data shows US Gen Z’s hobby motivations are shifting from restorative to expressive and social. It is less about escaping life and more about intentional building the life they want – finding their people, expressing their values, and spending time in ways they feel worthwhile.
Q.28

Regular Go-To Activities

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Socializing, connecting with others (e.g. going to restaurants/bars/coffee places with friends)
24W1
35
24W2
42
25W1
39
25W2
41
▲ 2
Entertainment, arts, culture related activities (e.g. watching movies, visiting museums, going to concerts)
24W1
40
24W2
42
25W1
37
25W2
38
▲ 1
Exercise, overall health management (e.g. jogging, walking, strength training)
24W1
37
24W2
37
25W1
37
25W2
33
▼ 4
Sports (e.g. basketball, soccer, skateboarding)
24W1
29
24W2
26
25W1
28
25W2
28
0
Self-development activities (e.g. reading, learning a new skill)
24W1
31
24W2
35 ↑
25W1
28
25W2
28
0
Resting, not doing much or doing less
24W1
36 ↑
24W2
39 ↑
25W1
25
25W2
26
▲ 1
Visiting places that recommend by friends or social media
24W1
21
24W2
19
25W1
25
25W2
25
0
Outdoor activities (those done outside, e.g. hiking, camping, ultimate frisbee)
24W1
31
24W2
31
25W1
30
25W2
24
▼ 6
Travel somewhere for fun, not for business
24W1
18
24W2
22
25W1
23 ↑
25W2
19
▼ 4
Raw data table
  24W1 24W2 25W1 25W2
Socializing, connecting with others (e.g. going to restaurants/bars/coffee places with friends) 35 42 39 41
Entertainment, arts, culture related activities (e.g. watching movies, visiting museums, going to concerts) 40 42 37 38
Exercise, overall health management (e.g. jogging, walking, strength training) 37 37 37 33
Sports (e.g. basketball, soccer, skateboarding) 29 26 28 28
Self-development activities (e.g. reading, learning a new skill) 31 35 ↑ 28 28
Resting, not doing much or doing less 36 ↑ 39 ↑ 25 26
Visiting places that recommend by friends or social media 21 19 25 25
Outdoor activities (those done outside, e.g. hiking, camping, ultimate frisbee) 31 31 30 24
Travel somewhere for fun, not for business 18 22 23 ↑ 19
Observations
  • Over the past 6 months, which of the following activities have you engaged in regularly?
  • Among Gen Z (15-29) | Multiple selections | Response in %
  • Socializing and entertainment are the most resilient categories. US Gen Z’s social and cultural life maintained momentum even as other activities softened. Going out, seeing things and connecting with people are the backbone of how they spend active time.
  • Exercise declined – especially contrasted with China where exercise surged to 50%. The gap between aspiring to be healthy and consistently doing it appears to be widening slightly – worth tracking and see whether it increases back up next wave. Still, 1 in 3 US Gen Z regularly exercises.
  • The decline in rest has stabilized. The “bed-rotting” moment may be over. Consistent with the time-spending data and the mood lift, the recovery and decompression phase of 2024 has passed, and US Gen Z has re-engaged with more active pursuits.
  • The engagement level of self-development has normalized among US Gen Z. This could mean the upskilling behavior settled back to a baseline, and they prioritize socializing and entertainment / community and enjoyment over structured self-improvement.
  • The contrast is quite striking between Chinese and US Gen Z. Chinese Gen Z showed exercise surge and rise in resting – more physically intentional, while US Gen Z are becoming more socially and culturally oriented.
Q.29

Exercises / Fitness

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Walking in the city/neighborhood or park in a leisure way
24W1
52
24W2
52
25W1
53
25W2
48
▼ 5
Working out in the gym by myself (without a trainer)
24W1
34
24W2
41
25W1
39
25W2
41
▲ 2
Exercises at home using an App
24W1
27
24W2
25
25W1
33
25W2
33
0
Working out in the gym with a trainer
24W1
22
24W2
16
25W1
27
25W2
28
▲ 1
Group exercise, fitness/workout class, yoga class, dance class, boxing class, etc.
24W1
20
24W2
19
25W1
25
25W2
27
▲ 2
Activities for meditating/healing purpose, e.g. meditations, sound bowl therapy
24W1
25
24W2
27
25W1
25
25W2
24
▼ 1
Biking around the city/neighborhood in a leisure way
24W1
19
24W2
20
25W1
20
25W2
22
▲ 2
Skateboarding around the city/neighborhood in a leisure way
24W1
13
24W2
10
25W1
10
25W2
18 ↑
▲ 8
Raw data table
  24W1 24W2 25W1 25W2
Walking in the city/neighborhood or park in a leisure way 52 52 53 48
Working out in the gym by myself (without a trainer) 34 41 39 41
Exercises at home using an App 27 25 33 33
Working out in the gym with a trainer 22 16 27 28
Group exercise, fitness/workout class, yoga class, dance class, boxing class, etc. 20 19 25 27
Activities for meditating/healing purpose, e.g. meditations, sound bowl therapy 25 27 25 24
Biking around the city/neighborhood in a leisure way 19 20 20 22
Skateboarding around the city/neighborhood in a leisure way 13 10 10 18 ↑
Observations
  • What kinds of exercise and fitness activities do you regularly do?
  • Among Gen Z who regularly exercise (15-29) | Multiple selections | Response in %
  • Although exercise softened slightly among Gen Z, for those who regularly exercise, their workout formats have diversified.
  • The exercise profile in this wave shows slight shifts from solo, unstructured walking towards more intentional, social and structured formats like gyms, trainers, classes. Which require more commitment than casual walking.
  • Skateboarding shows a significant rebound, one that shows identity and community, not just workout and health management.
Q.30

Sports

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Mass / established
24W1
82
24W2
82
25W1
86
25W2
80
▼ 6
Basketball
24W1
32
24W2
47 ↑
25W1
43
25W2
35
▼ 8
Running (Road running, trail running, cross-country, track & field, marathon)
24W1
25
24W2
24
25W1
23
25W2
29
▲ 6
Soccer
24W1
29
24W2
21
25W1
23
25W2
24
▲ 1
Swimming
24W1
31 ↑
24W2
21
25W1
30 ↑
25W2
17
▼ 13
Tennis
24W1
14
24W2
7
25W1
15
25W2
16
▲ 1
Golf
24W1
7
24W2
12
25W1
8
25W2
11
▲ 3
Ping pong
24W1
7
24W2
3
25W1
4
25W2
6
▲ 2
Badminton
24W1
4
24W2
5
25W1
4
25W2
5
▲ 1
Emergent
24W1
65
24W2
63
25W1
63
25W2
61
▼ 2
American football / flag football
24W1
19
24W2
23 ↑
25W1
15
25W2
14
▼ 1
E-sports (e.g. gaming)
24W1
16
24W2
19
25W1
11
25W2
14
▲ 3
Baseball
24W1
14
24W2
11
25W1
16
25W2
11
▼ 5
Boxing/combat sports (e.g. boxing, Thai boxing)
24W1
8
24W2
9
25W1
7
25W2
6
▼ 1
Water sports (e.g. standup paddle boarding, surfing, diving)
24W1
9
24W2
5
25W1
7
25W2
5
▼ 2
Cycling (road or mountain, including racing)
24W1
5
24W2
5
25W1
8
25W2
5
▼ 3
Skateboarding (traditional board)
24W1
1
24W2
2
25W1
3
25W2
3
0
Street dance
24W1
4
24W2
3
25W1
4
25W2
7
▲ 3
Pickleball
24W1
4
24W2
5
25W1
5
25W2
6
▲ 1
Rock climbing (indoor or outdoor)
24W1
3
24W2
3
25W1
3
25W2
3
0
HYROX
24W1
-
24W2
-
25W1
-
25W2
3
Padel
24W1
-
24W2
-
25W1
-
25W2
3
Raw data table
  24W1 24W2 25W1 25W2
Mass / established 82 82 86 80
Basketball 32 47 ↑ 43 35
Running (Road running, trail running, cross-country, track & field, marathon) 25 24 23 29
Soccer 29 21 23 24
Swimming 31 ↑ 21 30 ↑ 17
Tennis 14 7 15 16
Golf 7 12 8 11
Ping pong 7 3 4 6
Badminton 4 5 4 5
Emergent 65 63 63 61
American football / flag football 19 23 ↑ 15 14
E-sports (e.g. gaming) 16 19 11 14
Baseball 14 11 16 11
Boxing/combat sports (e.g. boxing, Thai boxing) 8 9 7 6
Water sports (e.g. standup paddle boarding, surfing, diving) 9 5 7 5
Cycling (road or mountain, including racing) 5 5 8 5
Skateboarding (traditional board) 1 2 3 3
Street dance 4 3 4 7
Pickleball 4 5 5 6
Rock climbing (indoor or outdoor) 3 3 3 3
HYROX - - - 3
Padel - - - 3
Observations
  • What kinds of sports do you play regularly?
  • Among Gen Z who regularly play sports (15-29) | Multiple selections | Response in %
  • US Gen Z’s sports landscape is diverse and fragmented – no single sports dominate consistently, and participation spreads across a wide range of activities.
  • Mass sports participation remains high – nearly 4 in 5 sports-playing Gen Z do at least one established sports.
  • Basketball peaked and now is normalizing (47 -> 35). The 24W2 spike suggests a wave of interest (possibly NBA coverage, celebrity influence, or availability), but it's settling back to 35%, still solid but less dominant than its 24W2 moment. It remains the most popular individual sport.
  • Running is steady and rising. This is consistent with the walking/running trend in earlier data. Running clubs, Strava, 5Ks, half-marathons are all culturally normalized in US Gen Z communities.
  • HYROX and Padel are both new to the dataset in 2025 wave. They’re small but already at the same level with other niche sports. These European-origin fitness sports (HYROX is hybrid racing, Padel is tennis variant) are entering the US Gen Z conversation – reflecting the globalization of niche sports and the “experiential sports” trend. Worth watching in future waves.
Q.31

Outdoor Activities

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
City walks, walk in the park
24W1
37
24W2
42 ↑
25W1
35
25W2
29
▼ 6
Hiking
24W1
31
24W2
32
25W1
34
25W2
29
▼ 5
Camping
24W1
22
24W2
25
25W1
29
25W2
27
▼ 2
Fishing
24W1
24
24W2
26
25W1
25
25W2
22
▼ 3
Biking/Cycling
24W1
23
24W2
29
25W1
24
25W2
21
▼ 3
Flag football
24W1
16
24W2
11
25W1
18
25W2
20 ↑
▲ 2
River trekking
24W1
5
24W2
3
25W1
7
25W2
14 ↑
▲ 7
Streetball
24W1
13
24W2
8
25W1
13
25W2
13
0
Ice-skating
24W1
5
24W2
8
25W1
7
25W2
11 ↑
▲ 4
Street dance
24W1
11
24W2
8
25W1
7
25W2
11
▲ 4
Snowboarding
24W1
6
24W2
8
25W1
8
25W2
11
▲ 3
Glamping
24W1
9
24W2
6
25W1
5
25W2
8
▲ 3
Skiing
24W1
7
24W2
5
25W1
6
25W2
8
▲ 2
Stand-up paddle board
24W1
7 ↑
24W2
3
25W1
6
25W2
8 ↑
▲ 2
Surfing
24W1
9
24W2
7
25W1
7
25W2
7
0
Ultimate frisbee
24W1
3
24W2
3
25W1
4
25W2
5
▲ 1
Raw data table
  24W1 24W2 25W1 25W2
City walks, walk in the park 37 42 ↑ 35 29
Hiking 31 32 34 29
Camping 22 25 29 27
Fishing 24 26 25 22
Biking/Cycling 23 29 24 21
Flag football 16 11 18 20 ↑
River trekking 5 3 7 14 ↑
Streetball 13 8 13 13
Ice-skating 5 8 7 11 ↑
Street dance 11 8 7 11
Snowboarding 6 8 8 11
Glamping 9 6 5 8
Skiing 7 5 6 8
Stand-up paddle board 7 ↑ 3 6 8 ↑
Surfing 9 7 7 7
Ultimate frisbee 3 3 4 5
Observations
  • What kinds of outdoor activities do you regularly do?
  • Among Gen Z who regularly do outdoor activities (15-29) | Multiple selections | Response in %
  • Overall, the structure of outdoor activities US Gen Z regularly engaging with is quite stable.
  • But we see the traditional outdoor staples are softening, especially city walks and hiking.
  • Social and active activities are rising, though still insignificant: flag football, river trekking, ice skating. This is coherent with the broader theme running through the US Gen Z data: they are increasingly oriented toward connection, energy, and shared experience rather than solo restoration. The outdoors is becoming a social arena as much as a nature escape.
Q.32

Domestic / International Travel Destinations

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Domestic destinations, not including staycations
24W1
57
24W2
63
25W1
56
25W2
55
▼ 1
Staycations
24W1
48
24W2
51
25W1
44
25W2
38
▼ 6
International destinations
24W1
36
24W2
32
25W1
28
25W2
29
▲ 1
Raw data table
  24W1 24W2 25W1 25W2
Domestic destinations, not including staycations 57 63 56 55
Staycations 48 51 44 38
International destinations 36 32 28 29
Observations
  • In the past 6 months, have you traveled to the following types of destinations for leisure?
  • Among Gen Z who regularly travel (15-29) | Multiple selections | Response in %
  • Domestic travel is stable. Roughly half of US Gen Z takes at least one domestic leisure trip per 6 months.
  • Staycations is in clear decline. Gen Z wants distance and novelty. Similar across China and US Gen Z.
  • About 1 in 3-4 US Gen Z travels internationally in a 6-month window. This reflects cost barriers, passport access, and limited vacation time compared to many countries.
Q.33

Types of Destinations

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Well-known nature (mountains, lakes, etc.)
24W2
46
25W1
51
25W2
51
0
Cosmopolitan urban city (e.g. New York, Tokyo, Shanghai, Paris)
24W2
48
25W1
35
25W2
45
▲ 10
Theme parks (e.g. Universal Studio, Disney, LEGO Land, Ocean parks)
24W2
50
25W1
49
25W2
41
▼ 8
Small towns/villages
24W2
35
25W1
39
25W2
38
▼ 1
Remote, niche nature that are not discussed much among friends or on social media
24W2
31
25W1
22
25W2
27
▲ 5
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Cosmopolitan urban city (e.g. New York, Tokyo, Shanghai, Paris)
24W2
55
25W1
45
25W2
49
▲ 4
Theme parks (e.g. Universal Studio, Disney, LEGO Land, Ocean parks)
24W2
53
25W1
51
25W2
46
▼ 5
Well-known nature (mountains, lakes, etc.)
24W2
49
25W1
43
25W2
46
▲ 3
Small towns/villages
24W2
34
25W1
36
25W2
38
▲ 2
Remote, niche nature that are not discussed much among friends or on social media
24W2
28
25W1
38
25W2
30
▼ 8
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Remote, niche nature that are not discussed much among friends or on social media
24W2
43
25W1
29
25W2
53 ↑
▲ 24
Theme parks (e.g. Universal Studio, Disney, LEGO Land, Ocean parks)
24W2
40
25W1
41
25W2
49
▲ 8
Well-known nature (mountains, lakes, etc.)
24W2
43
25W1
56
25W2
41
▼ 15
Cosmopolitan urban city (e.g. New York, Tokyo, Shanghai, Paris)
24W2
32
25W1
41
25W2
33
▼ 8
Small towns/villages
24W2
48
25W1
45
25W2
33
▼ 12
Raw data table
  24W2 25W1 25W2
Well-known nature (mountains, lakes, etc.) 46 51 51
Cosmopolitan urban city (e.g. New York, Tokyo, Shanghai, Paris) 48 35 45
Theme parks (e.g. Universal Studio, Disney, LEGO Land, Ocean parks) 50 49 41
Small towns/villages 35 39 38
Remote, niche nature that are not discussed much among friends or on social media 31 22 27
  24W2 25W1 25W2
Cosmopolitan urban city (e.g. New York, Tokyo, Shanghai, Paris) 55 45 49
Theme parks (e.g. Universal Studio, Disney, LEGO Land, Ocean parks) 53 51 46
Well-known nature (mountains, lakes, etc.) 49 43 46
Small towns/villages 34 36 38
Remote, niche nature that are not discussed much among friends or on social media 28 38 30
  24W2 25W1 25W2
Remote, niche nature that are not discussed much among friends or on social media 43 29 53 ↑
Theme parks (e.g. Universal Studio, Disney, LEGO Land, Ocean parks) 40 41 49
Well-known nature (mountains, lakes, etc.) 43 56 41
Cosmopolitan urban city (e.g. New York, Tokyo, Shanghai, Paris) 32 41 33
Small towns/villages 48 45 33
Observations
  • Domestic trips
  • What types of destinations did you visit during your trip?
  • Among Gen Z who traveled domestically | Multiple selections | Response in %
  • International Destinations
  • What types of destinations did you visit during your trip?
  • Among Gen Z who traveled internationally | Multiple selections | Response in %
  • Domestic and international travel destinations show parallel patterns.
  • Well-known nature and urban cities are the reliable anchors for domestic travel. Theme parks show insignificant decline. Small towns provide a steady middle ground. Remote nature remains niche.
  • US Gen Z seeks proven, Instagramable, low-risk choices. Worth tracking whether the softening of theme parks persists in future waves and see whether it’s a normal fluctuation or a shift in desire for authentic discovery with natural energy and cultural richness.
  • Staycations
  • What types of destinations did you visit during your trip?
  • Among Gen Z on staycations | Multiple selections | Response in %
  • While staycation is declining in general, when US Gen Z stay close home, they prefer a mindset of discovery and exploration rather than pure rest.
  • Remote nature suddenly tops the list (53%), reversed from domestic and international travel where it's least popular. When staying local, US Gen Z seeks escape and nature. But when traveling, they want structure and reliability.
  • Theme parks also are building steadily, reversed from domestic and international travels – US Gen Z opt for easy structured entertainment – another popular choice other than remote nature.
Q.34

Triggers for travel destinations

What triggered your most recent domestic trip?

BASE · Among Gen Z who traveled domestically | Multiple selections | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
To relax on the beach / in the hotel
24W2
43
25W1
53
25W2
52
▼ 1
For a concert (e.g. Fuji Rock Festival)
24W2
27
25W1
19
25W2
39 ↑
▲ 20
To watch a sports event
24W2
20
25W1
17
25W2
34 ↑
▲ 17
To participate in a sports event (e.g. marathon, triathlon, ski)
24W2
17
25W1
15
25W2
27
▲ 12
For some other cultural events
24W2
33
25W1
24
25W2
24
0
Cruise ship trip
24W2
13
25W1
24
25W2
20
▼ 4
For a film festival
24W2
15
25W1
17
25W2
17
0
I travel regularly so I didn’t have a specific goal
24W2
39 ↑
25W1
31 ↑
25W2
17
▼ 14
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
I travel regularly so I didn’t have a specific goal
24W2
26
25W1
40
25W2
35
▼ 5
To relax on the beach / in the hotel
24W2
40
25W1
40
25W2
32
▼ 8
For some other cultural events
24W2
43 ↑
25W1
21
25W2
30
▲ 9
To participate in a sports event (e.g. marathon, triathlon, ski)
24W2
25
25W1
26
25W2
30
▲ 4
For a concert (e.g. Fuji Rock Festival)
24W2
26
25W1
32
25W2
24
▼ 8
To watch a sports event
24W2
26
25W1
19
25W2
24
▲ 5
For a film festival
24W2
23
25W1
23
25W2
19
▼ 4
Cruise ship trip
24W2
17
25W1
26
25W2
19
▼ 7
Raw data table
  24W2 25W1 25W2
To relax on the beach / in the hotel 43 53 52
For a concert (e.g. Fuji Rock Festival) 27 19 39 ↑
To watch a sports event 20 17 34 ↑
To participate in a sports event (e.g. marathon, triathlon, ski) 17 15 27
For some other cultural events 33 24 24
Cruise ship trip 13 24 20
For a film festival 15 17 17
I travel regularly so I didn’t have a specific goal 39 ↑ 31 ↑ 17
  24W2 25W1 25W2
I travel regularly so I didn’t have a specific goal 26 40 35
To relax on the beach / in the hotel 40 40 32
For some other cultural events 43 ↑ 21 30
To participate in a sports event (e.g. marathon, triathlon, ski) 25 26 30
For a concert (e.g. Fuji Rock Festival) 26 32 24
To watch a sports event 26 19 24
For a film festival 23 23 19
Cruise ship trip 17 26 19
Observations
  • Domestic trips
  • For domestica travels, relaxation remains the anchor motivation.
  • In this wave, the live experience economy jumped in US Gen Z domestic travel – concerts and sports are becoming primary trip triggers.
  • US Gen Z increasingly needs a reason to go somewhere beyond just rest – travel for no specific reasons is in decline.
  • International trips
  • Overall, international travel triggers for US Gen Z are more unstable and moment-driven rather than settled behavioral patterns.
  • The only category that shows consistent upward trend is sports participation, consistent with the domestic sports participation travel trend.
Q.35

Entertainment, Arts, Culture

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Watching TV/movies at home
24W1
56
24W2
57
25W1
55
25W2
57
▲ 2
Shopping
24W1
45
24W2
47
25W1
42
25W2
39
▼ 3
Watching movies in a cinema
24W1
33
24W2
34
25W1
35
25W2
30
▼ 5
Going to concerts, shows, theaters, stage performance
24W1
25
24W2
24
25W1
22
25W2
27
▲ 5
Visiting theme parks (e.g. Disney, Universal Studio, LEGO Land, Ocean parks)
24W1
20
24W2
22
25W1
21
25W2
23
▲ 2
Going to store events (e.g. store opening, collaborations events, pop-up stores)
24W1
17
24W2
18
25W1
21
25W2
20
▼ 1
Outdoor movie night/event
24W1
18
24W2
19
25W1
18
25W2
16
▼ 2
Walking tours
24W1
16
24W2
12
25W1
15
25W2
15
0
Visiting museums, or art exhibits
24W1
14
24W2
14
25W1
14
25W2
12
▼ 2
Attending sharing events of personal experience, knowledge, books, etc.
24W1
13
24W2
15
25W1
13
25W2
16
▲ 3
Raw data table
  24W1 24W2 25W1 25W2
Watching TV/movies at home 56 57 55 57
Shopping 45 47 42 39
Watching movies in a cinema 33 34 35 30
Going to concerts, shows, theaters, stage performance 25 24 22 27
Visiting theme parks (e.g. Disney, Universal Studio, LEGO Land, Ocean parks) 20 22 21 23
Going to store events (e.g. store opening, collaborations events, pop-up stores) 17 18 21 20
Outdoor movie night/event 18 19 18 16
Walking tours 16 12 15 15
Visiting museums, or art exhibits 14 14 14 12
Attending sharing events of personal experience, knowledge, books, etc. 13 15 13 16
Observations
  • Which entertainment, arts and culture activities do you engage in regularly?
  • Among Gen Z who regularly engage in entertainment/arts/culture (15-29) | Multiple selections | Response in %
  • Passive entertainment dominates – watching TV/movies at home – the most convenient, low-barrier, on-demand activity.
  • Shopping seems to be softening, but remains a strong leisure social activity.
  • The rest of the activities are remain stable, no significant trends but normal fluctuations.
Q.36

Socializing, Connecting with Others

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Playing video games with friends
24W1
35
24W2
38
25W1
33
25W2
42 ↑
▲ 9
Shopping together
24W1
40
24W2
40
25W1
32
25W2
37
▲ 5
Go to restaurants/bars
24W1
34
24W2
43 ↑
25W1
38
25W2
32
▼ 6
Go to coffee shops
24W1
28
24W2
24
25W1
28
25W2
26
▼ 2
Hosting friends and make drinks at home / Home bars
24W1
26
24W2
24
25W1
25
25W2
26
▲ 1
Going to park / picnic together
24W1
22
24W2
23
25W1
30 ↑
25W2
23
▼ 7
Playing board game at home/friends’ home or at boardgame bars
24W1
22
24W2
18
25W1
21
25W2
22
▲ 1
Social events with people of shared traits/features
24W1
18
24W2
18
25W1
19
25W2
17
▼ 2
Neighborhood events or activities
24W1
15
24W2
14
25W1
10
25W2
12
▲ 2
Go to museums or exhibits together
24W1
9
24W2
8
25W1
12
25W2
12
0
Volunteering
24W1
13
24W2
11
25W1
11
25W2
9
▼ 2
Social events with fellow pet owners
24W1
10
24W2
12
25W1
14
25W2
9
▼ 5
Raw data table
  24W1 24W2 25W1 25W2
Playing video games with friends 35 38 33 42 ↑
Shopping together 40 40 32 37
Go to restaurants/bars 34 43 ↑ 38 32
Go to coffee shops 28 24 28 26
Hosting friends and make drinks at home / Home bars 26 24 25 26
Going to park / picnic together 22 23 30 ↑ 23
Playing board game at home/friends’ home or at boardgame bars 22 18 21 22
Social events with people of shared traits/features 18 18 19 17
Neighborhood events or activities 15 14 10 12
Go to museums or exhibits together 9 8 12 12
Volunteering 13 11 11 9
Social events with fellow pet owners 10 12 14 9
Observations
  • How do you typically connect and socialize with friends?
  • Among Gen Z (15-29) | Multiple selections | Response in %
  • Gaming is the new social currency, overtaking shopping, restaurants, coffee shops. This mirrors the Chinese data where gaming also surged, suggesting a possible shift toward digital-social formats as a primary way of connecting with friends.
  • Shopping and restaurants are among the primary social events for US Gen Z, low barrier (no need to clean the house), low energy, intimate and predictable.
  • The second tier cluster of social activities involve some energy and planning – hosting at home, boardgames, going to a park, etc.
  • Neighborhood activities and those that require more planning and energy are less participated among US Gen Z. Niche social tribes remain underdeveloped.
Q.37

Self-Development Activities

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Learning a new skill (e.g. instrument, driving, painting)
24W1
51
24W2
52
25W1
49
25W2
48
▼ 1
Reading books
24W1
47 ↑
24W2
45 ↑
25W1
45 ↑
25W2
35
▼ 10
Applying a new tool to manage knowledge and information (e.g. Notion)
24W1
21
24W2
29
25W1
23
25W2
32 ↑
▲ 9
Enrolling in online courses
24W1
20
24W2
25
25W1
28
25W2
31
▲ 3
Reading magazines, articles, digital or paper form
24W1
23
24W2
25
25W1
27
25W2
24
▼ 3
Learning or studying together with a buddy/friend
24W1
33 ↑
24W2
23
25W1
29
25W2
20
▼ 9
Weekend/Night school
24W1
13
24W2
15
25W1
15
25W2
19
▲ 4
Attending forums, speeches, lectures after school/work
24W1
17
24W2
19
25W1
21
25W2
17
▼ 4
Attending short-term camps (e.g. coding camp)
24W1
16
24W2
16
25W1
14
25W2
17
▲ 3
Raw data table
  24W1 24W2 25W1 25W2
Learning a new skill (e.g. instrument, driving, painting) 51 52 49 48
Reading books 47 ↑ 45 ↑ 45 ↑ 35
Applying a new tool to manage knowledge and information (e.g. Notion) 21 29 23 32 ↑
Enrolling in online courses 20 25 28 31
Reading magazines, articles, digital or paper form 23 25 27 24
Learning or studying together with a buddy/friend 33 ↑ 23 29 20
Weekend/Night school 13 15 15 19
Attending forums, speeches, lectures after school/work 17 19 21 17
Attending short-term camps (e.g. coding camp) 16 16 14 17
Observations
  • What self-development activities do you engage in?
  • Among Gen Z engaging in self-development (15-29) | Multiple selections | Response in %
  • US Gen Z’s self-development profile is evolving from passive and social – reading, studying with friends – towards active and structured – online courses, knowledge management tools, formal classes. This shows a direction toward taking learning more seriously and more systematically, even as the overall time spent on self-improvement has declined. Fewer people are doing it, but those who are appear to be doing it more intentionally.
  • Some interesting details:
  • Reading books declined sharply this wave. Over the past 6 months 1 every 10 US Gen Z dropped reading long-form books, likely resorting more pragmatic skills that show impact faster.
  • Notion and knowledge tools rise significantly. The rise of second-brain tools reflects Gen Z's information anxiety and desire to systematize learning.
Q.38

Resting, Relaxation & Recovery

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Quiet time relaxing and doing nothing
24W1
65
24W2
70 ↑
25W1
61
25W2
60
▼ 1
Listening to music
24W1
71 ↑
24W2
70 ↑
25W1
70 ↑
25W2
58
▼ 12
Spending time with my pets
24W1
46 ↑
24W2
42
25W1
37
25W2
33
▼ 4
Quiet hobbies
24W1
-
24W2
-
25W1
-
25W2
26
Meditation
24W1
23
24W2
26
25W1
25
25W2
25
0
Caring for plants at home
24W1
19
24W2
14
25W1
25 ↑
25W2
16
▼ 9
Raw data table
  24W1 24W2 25W1 25W2
Quiet time relaxing and doing nothing 65 70 ↑ 61 60
Listening to music 71 ↑ 70 ↑ 70 ↑ 58
Spending time with my pets 46 ↑ 42 37 33
Quiet hobbies - - - 26
Meditation 23 26 25 25
Caring for plants at home 19 14 25 ↑ 16
Observations
  • Which of the following do you do when you want to rest or relax?
  • Among Gen Z (15-29) | Multiple selections | Response in %
  • Quiet hobbies was a new item added this wave, which may explain some redistribution in resting activities. 1 in 4 US Gen Z’s seek active resting – quiet hobbies, meditations.
  • Their relaxation repertoire is rather diverse – resting is becoming more deliberate and more varied than defaulting to a single behavior.
Q.39

Whether Part of Groups

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Groups of certain brands (e.g. car brands, sports brands)
24W1
22
24W2
16
25W1
23
25W2
28 ↑
▲ 5
Brands hosted beverage & alcohol related groups
24W1
20
24W2
20
25W1
23
25W2
27 ↑
▲ 4
Brands hosted art & craft related groups (e.g. hand craft club)
24W1
18
24W2
18
25W1
21
25W2
25 ↑
▲ 4
Basketball group
24W1
18
24W2
21
25W1
20
25W2
24
▲ 4
Soccer group
24W1
16
24W2
14
25W1
15
25W2
23 ↑
▲ 8
Running groups
24W1
12
24W2
13
25W1
21 ↑
25W2
21 ↑
0
Flag football
24W1
15
24W2
11
25W1
13
25W2
20 ↑
▲ 7
Music band
24W1
14
24W2
13
25W1
16
25W2
15
▼ 1
Cycling groups
24W1
9
24W2
8
25W1
10
25W2
14 ↑
▲ 4
Film clubs
24W1
9
24W2
9
25W1
11
25W2
14 ↑
▲ 3
Book clubs
24W1
13
24W2
11
25W1
14
25W2
13
▼ 1
Camping club
24W1
12
24W2
7
25W1
9
25W2
13 ↑
▲ 4
Brands’ VIP exclusive premium clubs
24W1
10
24W2
10
25W1
13
25W2
13
0
Board game groups
24W1
8
24W2
6
25W1
9
25W2
13 ↑
▲ 4
Fan club (of celebrities)
24W1
8
24W2
6
25W1
9
25W2
13 ↑
▲ 4
Photography clubs
24W1
8
24W2
8
25W1
8
25W2
12 ↑
▲ 4
Skateboarding group
24W1
9
24W2
5
25W1
8
25W2
12 ↑
▲ 4
Singing clubs
24W1
10
24W2
8
25W1
7
25W2
11 ↑
▲ 4
Dance clubs
24W1
11
24W2
8
25W1
10
25W2
11
▲ 1
Groups for sharing personal experience, information or knowledge that meet regularly
24W1
9
24W2
8
25W1
10
25W2
11
▲ 1
Animation club
24W1
9
24W2
7
25W1
10
25W2
11
▲ 1
Cos play
24W1
7
24W2
6
25W1
8
25W2
10
▲ 2
Rock climbing
24W1
10
24W2
8
25W1
9
25W2
11
▲ 2
Single club
24W1
7
24W2
8
25W1
8
25W2
9
▲ 1
Ultimate frisbee
24W1
6
24W2
5
25W1
8
25W2
9 ↑
▲ 1
At least one group of hobbies
24W1
57
24W2
49
25W1
57
25W2
63 ↑
▲ 6
At least one sports group
24W1
53
24W2
49
25W1
58
25W2
65 ↑
▲ 7
At least one brand related group
24W1
44
24W2
41
25W1
51 ↑
25W2
58 ↑
▲ 7
Raw data table
  24W1 24W2 25W1 25W2
Groups of certain brands (e.g. car brands, sports brands) 22 16 23 28 ↑
Brands hosted beverage & alcohol related groups 20 20 23 27 ↑
Brands hosted art & craft related groups (e.g. hand craft club) 18 18 21 25 ↑
Basketball group 18 21 20 24
Soccer group 16 14 15 23 ↑
Running groups 12 13 21 ↑ 21 ↑
Flag football 15 11 13 20 ↑
Music band 14 13 16 15
Cycling groups 9 8 10 14 ↑
Film clubs 9 9 11 14 ↑
Book clubs 13 11 14 13
Camping club 12 7 9 13 ↑
Brands’ VIP exclusive premium clubs 10 10 13 13
Board game groups 8 6 9 13 ↑
Fan club (of celebrities) 8 6 9 13 ↑
Photography clubs 8 8 8 12 ↑
Skateboarding group 9 5 8 12 ↑
Singing clubs 10 8 7 11 ↑
Dance clubs 11 8 10 11
Groups for sharing personal experience, information or knowledge that meet regularly 9 8 10 11
Animation club 9 7 10 11
Cos play 7 6 8 10
Rock climbing 10 8 9 11
Single club 7 8 8 9
Ultimate frisbee 6 5 8 9 ↑
At least one group of hobbies 57 49 57 63 ↑
At least one sports group 53 49 58 65 ↑
At least one brand related group 44 41 51 ↑ 58 ↑
Observations
  • Are you currently part of any of the following groups?
  • Among Gen Z (15-29) | Multiple selections | Response in %
  • Community participation is rising sharply. About 6 in 10 US Gen Z has participated in at least one community group. This is the most direct behavioral confirmation of the theme of belonging surge across the datasets so far. There is a significant value and behavioral shift towards community, connection, and collective identity. This signals Gen Z’s response to the post-election political landscape and US youths try to find like-minded community for the sense of belonging.
  • Almost every single category rose this wave – signaling US Gen Z’s participations in varied community groups.
  • However, brand communities captured the most interest, being the top 3 popular groups – brand is a natural common theme pulling Gen Z together.
  • Sports group participation also is at its highest point – showing sports are becoming community identities rather than individual behaviors.
  • US Gen Z’s group participation is in contrast with Chinese Gen Z where community participation plateaued around 50% and brand communities declined.
Q.40

Activities Aspire to Do More in Coming 6 Months

WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Socializing, connecting with others (e.g. going to restaurants/bars/coffee places with friends)
24W1
43
24W2
43
25W1
40
25W2
41
▲ 1
Exercise, overall health management (e.g. jogging, walking, strength training)
24W1
46 ↑
24W2
48 ↑
25W1
45 ↑
25W2
39
▼ 6
Entertainment, arts, culture related activities (e.g. watching movies, visiting museums, going to concerts)
24W1
41
24W2
37
25W1
33
25W2
37
▲ 4
Outdoor activities (those done outside, e.g. hiking, camping, ultimate frisbee)
24W1
41
24W2
37
25W1
38
25W2
36
▼ 2
Self-development activities (e.g. reading, learning a new skill)
24W1
42
24W2
45 ↑
25W1
39
25W2
34
▼ 5
Sports (e.g. basketball, soccer, skateboarding)
24W1
28
24W2
27
25W1
32 ↑
25W2
32 ↑
0
Travel somewhere for fun, not for business
24W1
35
24W2
35
25W1
33
25W2
31
▼ 2
Visiting places that recommend by friends or social media
24W1
26
24W2
23
25W1
27
25W2
30 ↑
▲ 3
Resting, not doing much or doing less
24W1
21
24W2
24 ↑
25W1
19
25W2
20
▲ 1
Raw data table
  24W1 24W2 25W1 25W2
Socializing, connecting with others (e.g. going to restaurants/bars/coffee places with friends) 43 43 40 41
Exercise, overall health management (e.g. jogging, walking, strength training) 46 ↑ 48 ↑ 45 ↑ 39
Entertainment, arts, culture related activities (e.g. watching movies, visiting museums, going to concerts) 41 37 33 37
Outdoor activities (those done outside, e.g. hiking, camping, ultimate frisbee) 41 37 38 36
Self-development activities (e.g. reading, learning a new skill) 42 45 ↑ 39 34
Sports (e.g. basketball, soccer, skateboarding) 28 27 32 ↑ 32 ↑
Travel somewhere for fun, not for business 35 35 33 31
Visiting places that recommend by friends or social media 26 23 27 30 ↑
Resting, not doing much or doing less 21 24 ↑ 19 20
Observations
  • Which of the following activities would you like to do more in the next 6 months?
  • Among Gen Z (15-29) | Multiple selections | Response in %
  • US Gen Z’s forward aspirations are slightly more modest and more focused than in 2024. Less urgency around self-development and health optimization, more consistent desire for social connection, sports, and discovery.
  • However, the overall structure of aspirations haven’t changed significantly.
Section

Engagement

United States
Q.41

Categories Purchased in the past 6 Months (S6)

In the past 6 months, which of the categories below have you purchased for yourself to use or consume?

BASE · Among Gen Z (15-29) | Multiple Answers | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Nondurable goods
24W1
100
24W2
100
25W1
100
25W2
100
0
Food/groceries
24W1
99
24W2
100
25W1
100
25W2
100
0
Clothing
24W1
75
24W2
78
25W1
76
25W2
75
▼ 1
Skincare products
24W1
54
24W2
57
25W1
54
25W2
61 ↑
▲ 7
Fragrances
24W1
44
24W2
50 ↑
25W1
53 ↑
25W2
59 ↑
▲ 6
Beverage, not including alcohol
24W1
60
24W2
70 ↑
25W1
60
25W2
59
▼ 1
Haircare products
24W1
56
24W2
64
25W1
59
25W2
59
0
Footwear
24W1
52
24W2
58 ↑
25W1
55
25W2
59 ↑
▲ 4
Alcohol
24W1
44
24W2
50
25W1
54
25W2
54
0
Makeup products
24W1
41
24W2
40
25W1
42
25W2
46 ↑
▲ 4
Supplements/nutritional support
24W1
35
24W2
44 ↑
25W1
45 ↑
25W2
46 ↑
▲ 1
Durable goods
24W1
86
24W2
84
25W1
89 ↑
25W2
89 ↑
0
Personal tech and entertainment products
24W1
56
24W2
57
25W1
59
25W2
61
▲ 2
Health and beauty tech products
24W1
52
24W2
51
25W1
56 ↑
25W2
57 ↑
▲ 1
Home appliances
24W1
40
24W2
43
25W1
46
25W2
42
▼ 4
Jewelry and watch
24W1
34
24W2
33
25W1
40 ↑
25W2
38
▼ 2
Cars
24W1
16
24W2
17
25W1
15
25W2
15
0
Services
24W1
79
24W2
81
25W1
87 ↑
25W2
88 ↑
▲ 1
Entertainment related (e.g. membership fees, movies, concerts)
24W1
53
24W2
58
25W1
56
25W2
58
▲ 2
Healthcare products
24W1
43
24W2
45
25W1
49
25W2
45
▼ 4
Finance products/services (e.g. banking, insurance)
24W1
27
24W2
34 ↑
25W1
36 ↑
25W2
34 ↑
▼ 2
Education programs / online courses
24W1
27
24W2
26
25W1
29
25W2
32 ↑
▲ 3
Experiences
24W1
60
24W2
61
25W1
69 ↑
25W2
68 ↑
▼ 1
Sports/exercise activity related
24W1
44
24W2
44
25W1
52 ↑
25W2
56 ↑
▲ 4
Travel / vacations
24W1
38 ↑
24W2
37 ↑
25W1
38 ↑
25W2
32
▼ 6
Total
24W1
989
24W2
1053
25W1
1071
25W2
1089
▲ 18
Raw data table
  24W1 24W2 25W1 25W2
Nondurable goods 100 100 100 100
Food/groceries 99 100 100 100
Clothing 75 78 76 75
Skincare products 54 57 54 61 ↑
Fragrances 44 50 ↑ 53 ↑ 59 ↑
Beverage, not including alcohol 60 70 ↑ 60 59
Haircare products 56 64 59 59
Footwear 52 58 ↑ 55 59 ↑
Alcohol 44 50 54 54
Makeup products 41 40 42 46 ↑
Supplements/nutritional support 35 44 ↑ 45 ↑ 46 ↑
Durable goods 86 84 89 ↑ 89 ↑
Personal tech and entertainment products 56 57 59 61
Health and beauty tech products 52 51 56 ↑ 57 ↑
Home appliances 40 43 46 42
Jewelry and watch 34 33 40 ↑ 38
Cars 16 17 15 15
Services 79 81 87 ↑ 88 ↑
Entertainment related (e.g. membership fees, movies, concerts) 53 58 56 58
Healthcare products 43 45 49 45
Finance products/services (e.g. banking, insurance) 27 34 ↑ 36 ↑ 34 ↑
Education programs / online courses 27 26 29 32 ↑
Experiences 60 61 69 ↑ 68 ↑
Sports/exercise activity related 44 44 52 ↑ 56 ↑
Travel / vacations 38 ↑ 37 ↑ 38 ↑ 32
Total 989 1053 1071 1089
Observations
  • US Gen Z’s consumption profile in this wave is broad, growing, and increasingly self-directed. They spent on how they smell, look, feel, move and protect themselves financially.
  • The categories gaining most ground are personal care and expression (fragrance, skincare, makeup), physical investment (sports experiences, supplements) and financial maturity (insurance, education).
Q.42

Categories to Spend More on

Now please take into account of the context of the economy. If you’re to save some costs on shopping for your everyday life, which categories would you still splurge?

BASE · Among Gen Z (15-29) | Multiple Answers | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Nondurable goods
24W1
63
24W2
59
25W1
64
25W2
62
▼ 2
Food/groceries
24W1
27
24W2
27
25W1
28
25W2
23
▼ 5
Clothing
24W1
24
24W2
27 ↑
25W1
21
25W2
20
▼ 1
Footwear
24W1
15 ↑
24W2
15 ↑
25W1
10
25W2
13
▲ 3
Skincare products
24W1
14
24W2
12
25W1
13
25W2
13
0
Alcohol
24W1
11
24W2
10
25W1
13
25W2
13
0
Fragrances
24W1
10
24W2
11
25W1
13
25W2
11
▼ 2
Supplements/nutritional support
24W1
11
24W2
10
25W1
12
25W2
11
▼ 1
Beverage, not including alcohol
24W1
11
24W2
10
25W1
11
25W2
10
▼ 1
Makeup products
24W1
13
24W2
11
25W1
12
25W2
9
▼ 3
Haircare products
24W1
13 ↑
24W2
14 ↑
25W1
9
25W2
9
0
Luxury/Designer/Premium fashion brands
24W1
5
24W2
5
25W1
6
25W2
6
0
Services
24W1
40 ↑
24W2
35
25W1
34
25W2
41 ↑
▲ 7
Entertainment related (e.g. membership fees, movies, concerts)
24W1
15
24W2
13
25W1
12
25W2
15
▲ 3
Education
24W1
14
24W2
12
25W1
12
25W2
14
▲ 2
Healthcare products
24W1
14
24W2
14
25W1
13
25W2
13
0
Finance products/services (e.g. banking, insurance)
24W1
11
24W2
11
25W1
9
25W2
13
▲ 4
Durable goods
24W1
36
24W2
34
25W1
34
25W2
37
▲ 3
Personal tech and entertainment products
24W1
14
24W2
16
25W1
14
25W2
17
▲ 3
Health and beauty tech products
24W1
13
24W2
10
25W1
10
25W2
14 ↑
▲ 4
Home appliances
24W1
11
24W2
14
25W1
13
25W2
11
▼ 2
Jewelry and watch
24W1
10
24W2
10
25W1
10
25W2
10
0
Cars
24W1
9
24W2
9
25W1
7
25W2
7
0
Experiences
24W1
33
24W2
30
25W1
28
25W2
29
▲ 1
Travel / vacations
24W1
17
24W2
15
25W1
14
25W2
13
▼ 1
Sports activity related
24W1
12
24W2
10
25W1
10
25W2
12
▲ 2
Dining out at restaurants & bars
24W1
14
24W2
15
25W1
12
25W2
10
▼ 2
None of the above
24W1
12
24W2
16 ↑
25W1
13
25W2
14
▲ 1
Raw data table
  24W1 24W2 25W1 25W2
Nondurable goods 63 59 64 62
Food/groceries 27 27 28 23
Clothing 24 27 ↑ 21 20
Footwear 15 ↑ 15 ↑ 10 13
Skincare products 14 12 13 13
Alcohol 11 10 13 13
Fragrances 10 11 13 11
Supplements/nutritional support 11 10 12 11
Beverage, not including alcohol 11 10 11 10
Makeup products 13 11 12 9
Haircare products 13 ↑ 14 ↑ 9 9
Luxury/Designer/Premium fashion brands 5 5 6 6
Services 40 ↑ 35 34 41 ↑
Entertainment related (e.g. membership fees, movies, concerts) 15 13 12 15
Education 14 12 12 14
Healthcare products 14 14 13 13
Finance products/services (e.g. banking, insurance) 11 11 9 13
Durable goods 36 34 34 37
Personal tech and entertainment products 14 16 14 17
Health and beauty tech products 13 10 10 14 ↑
Home appliances 11 14 13 11
Jewelry and watch 10 10 10 10
Cars 9 9 7 7
Experiences 33 30 28 29
Travel / vacations 17 15 14 13
Sports activity related 12 10 10 12
Dining out at restaurants & bars 14 15 12 10
None of the above 12 16 ↑ 13 14
Observations
  • US Gen Z’s protected spending under budget pressure clusters around services, personal tech, health beauty devices, and personal care, sports related, centered around the daily digital and physical life.
  • What gets cut is experiences, travel, dining, and consumables like clothes, food and makeup.
  • This hierarchy shows US Gen Z prioritizes staying connected, capable, and personally invested over going places or eating out/well. It’s spending that is more sustaining the self.
Q.43

Top Alcohol Brands Within Social Circles

Among the alcohol that you purchased in the past 6 months, which brand do you feel is the top choice among your social circle?

BASE · Among Gen Z (21-29) Who Purchased Alcohol P6M | Single Answer | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Chivas Regal
24W1
7
24W2
3
25W1
9
25W2
14 ↑
▲ 5
Smirnoff
24W1
20
24W2
19
25W1
13
25W2
12
▼ 1
Jim Beam
24W1
20 ↑
24W2
8
25W1
10
25W2
12
▲ 2
Hennessy
24W1
9
24W2
11
25W1
13
25W2
9
▼ 4
Absolut
24W1
6
24W2
4
25W1
8
25W2
7
▼ 1
Baileys
24W1
4
24W2
8
25W1
11
25W2
6
▼ 5
Johnnie Walker
24W1
2
24W2
2
25W1
7
25W2
5
▼ 2
Martell
24W1
5 ↑
24W2
-
25W1
-
25W2
5 ↑
Glenfiddich
24W1
2
24W2
-
25W1
3
25W2
5
▲ 2
Bacardi
24W1
7
24W2
10
25W1
6
25W2
3
▼ 3
Havana Club
24W1
1
24W2
2
25W1
2
25W2
3
▲ 1
Rémy Martin
24W1
4
24W2
3
25W1
3
25W2
3
0
Tanqueray
24W1
1
24W2
5
25W1
1
25W2
3
▲ 2
Yamazaki
24W1
-
24W2
1
25W1
1
25W2
3
▲ 2
Hibiki
24W1
-
24W2
1
25W1
-
25W2
2
Royal Salute
24W1
-
24W2
1
25W1
-
25W2
2
The Macallan
24W1
2
24W2
4
25W1
3
25W2
1
▼ 2
Raw data table
  24W1 24W2 25W1 25W2
Chivas Regal 7 3 9 14 ↑
Smirnoff 20 19 13 12
Jim Beam 20 ↑ 8 10 12
Hennessy 9 11 13 9
Absolut 6 4 8 7
Baileys 4 8 11 6
Johnnie Walker 2 2 7 5
Martell 5 ↑ - - 5 ↑
Glenfiddich 2 - 3 5
Bacardi 7 10 6 3
Havana Club 1 2 2 3
Rémy Martin 4 3 3 3
Tanqueray 1 5 1 3
Yamazaki - 1 1 3
Hibiki - 1 - 2
Royal Salute - 1 - 2
The Macallan 2 4 3 1
Observations
  • US Gen Z's alcohol brand perception is in transition — away from the accessible mass toward a more premium, diverse landscape led by Scotch whisky. Chivas Regal's emergence as the social circle top choice signals that premiumization is real and accelerating, even as the overall brand landscape remains more fragmented than in previous waves.
  • Chivas Regal’s surge among US Gen Z social circles mirror Royal Salute’s rise in China – both Scotch whisky brands gaining ground simultaneously suggests a broader premiumization toward Scotch across Gen Z markets.
  • Smirnoff and Jim Beam both dominated in 24 wave 1 and have since lost significant ground. The mass-market vodka and bourbon brands are giving way to a more fragmented, premium-leading landscape.
  • US vs. China: both markets show legacy mass brands declining and Scotch whisky gaining ground — parallel premiumization trends. The key difference is the starting point: US Gen Z was more vodka and bourbon-oriented (Smirnoff, Jim Beam leading) while Chinese Gen Z was more cognac-oriented (Hennessy dominating). Both are moving toward Scotch whisky as the aspirational social circle choice — a cross-market convergence in premium alcohol preferences among Gen Z.
Q.44

Footwear Categories Purchased Past 6 Months

You mentioned you purchased footwear in the past 6 months. Which specific types did you purchase?

BASE · Among Gen Z (15-29) Who Purchased Footwear P6M | Single Answer | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Casual / lifestyle sneakers
24W1
52
24W2
63
25W1
58
25W2
53
▼ 5
Performance / sports shoes (e.g. basketball, tennis, golf)
24W1
35
24W2
34
25W1
32
25W2
35
▲ 3
Shoes with for outdoor occasions
24W1
34
24W2
36
25W1
34
25W2
34
0
Boots
24W1
35
24W2
38
25W1
32
25W2
29
▼ 3
Sandals / flip flops / slippers
24W1
32
24W2
35
25W1
32
25W2
26
▼ 6
Flats / Loafers / Oxford shoes
24W1
23
24W2
17
25W1
23
25W2
22
▼ 1
High heels / Mary Jane
24W1
17
24W2
11
25W1
16
25W2
16
0
Raw data table
  24W1 24W2 25W1 25W2
Casual / lifestyle sneakers 52 63 58 53
Performance / sports shoes (e.g. basketball, tennis, golf) 35 34 32 35
Shoes with for outdoor occasions 34 36 34 34
Boots 35 38 32 29
Sandals / flip flops / slippers 32 35 32 26
Flats / Loafers / Oxford shoes 23 17 23 22
High heels / Mary Jane 17 11 16 16
Observations
  • US Gen Z’s footwear profile is consolidating around a functional core – sneakers for lifestyle, performance shoes for sport, outdoor shoes for activity, while more fashion-oriented categories gradually soften. Appears US Gen Z’s wardrobe is built for an active, varied life rather than for style occasions.
Q.45

Clothing Categories Purchased Past 6 Months

You mentioned you purchased clothes in the past 6 months. Which specific types did you purchase?

BASE · Among Gen Z (15-29) Who Purchased Apparel P6M | Multiple Answers | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Jeans
24W1
46
24W2
50
25W1
45
25W2
46
▲ 1
Jacket
24W1
30
24W2
33
25W1
33
25W2
35
▲ 2
Sweatshirt / Hoodie
24W1
40
24W2
44 ↑
25W1
31
25W2
33
▲ 2
Shorts/pants
24W1
44
24W2
41
25W1
39
25W2
29
▼ 10
Sweater
24W1
25
24W2
32
25W1
30
25W2
27
▼ 3
Long sleeve/Short sleeve T-shirt
24W1
36
24W2
38
25W1
29
25W2
26
▼ 3
Graphic Tees
24W1
33 ↑
24W2
36 ↑
25W1
24
25W2
23
▼ 1
Yoga pants
24W1
20
24W2
16
25W1
19
25W2
16
▼ 3
Collar shirt
24W1
12
24W2
15
25W1
18
25W2
15
▼ 3
Clothes with specific functions, e.g. quick dry, waterproof
24W1
13
24W2
17
25W1
15
25W2
13
▼ 2
Cardigan
24W1
14
24W2
14
25W1
10
25W2
10
0
Thin jacket with UV protection
24W1
8
24W2
5
25W1
6
25W2
3
▼ 3
Total
24W1
327
24W2
343
25W1
303
25W2
279
▼ 24
Raw data table
  24W1 24W2 25W1 25W2
Jeans 46 50 45 46
Jacket 30 33 33 35
Sweatshirt / Hoodie 40 44 ↑ 31 33
Shorts/pants 44 41 39 29
Sweater 25 32 30 27
Long sleeve/Short sleeve T-shirt 36 38 29 26
Graphic Tees 33 ↑ 36 ↑ 24 23
Yoga pants 20 16 19 16
Collar shirt 12 15 18 15
Clothes with specific functions, e.g. quick dry, waterproof 13 17 15 13
Cardigan 14 14 10 10
Thin jacket with UV protection 8 5 6 3
Total 327 343 303 279
Observations
  • US Gen Z’s clothing profile is consolidating around a smaller, more considered wardrobe – as the total purchase declines since the 24W2 peak. Jeans is the anchor category, jackets building (although not significant yet), casual wear normalizing downward after the 24W2 moment (sweatshirts, graphic tees, T-shirts). Fewer statement pieces were purchased P6M, but more reliable, versatile foundations.
Q.46

Type of Footwear /Apparel Brands Purchased P6M

You mentioned you purchased footwear in the past 6 months. Which specific types did you purchase? · You mentioned you purchased clothes in the past 6 months. Which specific types did you purchase?

BASE · Among Gen Z (15-29) Who Purchased Footwear P6M | Multiple Answers | Response in % | Among Gen Z (15-29) Who Purchased Clothes P6M | Multiple Answers | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Sportswear brands (e.g. Nike, Lululemon)
24W1
52
24W2
59
25W1
53
25W2
59
▲ 6
Fast fashion brands (e.g. Zara, H&M)
24W1
35
24W2
34
25W1
34
25W2
40
▲ 6
Streetwear brands (e.g. Vans, Evisu)
24W1
36
24W2
39
25W1
34
25W2
28
▼ 6
Second-hand / Pre-owned
24W1
21
24W2
19
25W1
20
25W2
23
▲ 3
Luxury fashion brands (e.g. Chanel, Balenciaga)
24W1
20
24W2
15
25W1
30 ↑
25W2
18
▼ 12
Designer brands / Trendy brand
24W1
22
24W2
23
25W1
21
25W2
16
▼ 5
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Sportswear brands (e.g. Nike, Lululemon)
24W1
44
24W2
47
25W1
49
25W2
55 ↑
▲ 6
Fast fashion brands (e.g. Zara, H&M)
24W1
35
24W2
40
25W1
42
25W2
46 ↑
▲ 4
Streetwear brands (e.g. Vans, Evisu)
24W1
32
24W2
31
25W1
26
25W2
28
▲ 2
Second-hand / Pre-owned
24W1
30
24W2
28
25W1
29
25W2
23
▼ 6
Designer brands / Trendy brand
24W1
21
24W2
21
25W1
19
25W2
17
▼ 2
Luxury fashion brands (e.g. Chanel, Balenciaga)
24W1
17
24W2
15
25W1
24 ↑
25W2
12
▼ 12
Raw data table
  24W1 24W2 25W1 25W2
Sportswear brands (e.g. Nike, Lululemon) 52 59 53 59
Fast fashion brands (e.g. Zara, H&M) 35 34 34 40
Streetwear brands (e.g. Vans, Evisu) 36 39 34 28
Second-hand / Pre-owned 21 19 20 23
Luxury fashion brands (e.g. Chanel, Balenciaga) 20 15 30 ↑ 18
Designer brands / Trendy brand 22 23 21 16
  24W1 24W2 25W1 25W2
Sportswear brands (e.g. Nike, Lululemon) 44 47 49 55 ↑
Fast fashion brands (e.g. Zara, H&M) 35 40 42 46 ↑
Streetwear brands (e.g. Vans, Evisu) 32 31 26 28
Second-hand / Pre-owned 30 28 29 23
Designer brands / Trendy brand 21 21 19 17
Luxury fashion brands (e.g. Chanel, Balenciaga) 17 15 24 ↑ 12
Observations
  • Footwear brand
  • Clothes brand
  • US Gen Z’s brand landscape is consolidating around sportswear and fast fashion – functional, accessible, style-credible. Everything else losing ground or softening.
  • The luxury moment of 2025 wave 1 was a spike instead of a trend.
  • The wardrobe is becoming more functional, simpler, more performance-oriented, less about brand identity-signaling.
Q.47

Footwear / Apparel – Types of Brands Following

Which types of brands are you following or looking for related information regularly?

BASE · Among Gen Z (15-29) Who Purchased Footwear/Clothes P6M | Answer Selections <= 3 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Sportswear brands (e.g. Nike, Lululemon)
24W1
48
24W2
52
25W1
54
25W2
51
▼ 3
Streetwear brands (e.g. Vans, Evisu)
24W1
41
24W2
43
25W1
36
25W2
41
▲ 5
Fast fashion brands (e.g. Zara, H&M)
24W1
36
24W2
40
25W1
47
25W2
39
▼ 8
Luxury fashion brands (e.g. Chanel, Balenciaga)
24W1
21
24W2
19
25W1
25
25W2
28
▲ 3
Designer brands / Trendy brand
24W1
25
24W2
26
25W1
27
25W2
20
▼ 7
White label
24W1
-
24W2
-
25W1
-
25W2
17
Raw data table
  24W1 24W2 25W1 25W2
Sportswear brands (e.g. Nike, Lululemon) 48 52 54 51
Streetwear brands (e.g. Vans, Evisu) 41 43 36 41
Fast fashion brands (e.g. Zara, H&M) 36 40 47 39
Luxury fashion brands (e.g. Chanel, Balenciaga) 21 19 25 28
Designer brands / Trendy brand 25 26 27 20
White label - - - 17
Observations
  • Sportswear leads consistently but has plateaued. This active following interest mirrors the purchasing dominance.
  • After dipping to 36% last wave, streetwear bounced back to 41%. Despite streetwear purchasing declining, following interest remains significant. US Gen Z still tracks streetwear culture and aesthetics even as actual purchases shift toward sportswear and fast fashion.
  • Luxury following interest is actually building even if luxury purchase has collapsed this wave. US Gen Z watches luxury content, campaigns, and culture without translating it into purchases. Consistent with the economic pressure on discretionary spending.
  • Almost as many US Gen Z follow White label as Designer brands – unbranded quality is becoming a legitimate consideration – consistent with the value-conscious consumer posture.
  • Overall, US Gen Z’s brand following landscape reflects a cohort that engages with fashion across a wide range but purchases more selectively.
Q.48

Purchase Channel

On which channels or platforms do you purchase footwear / apparel / fashion products?

BASE · Among Gen Z (15-29) Who Purchased Footwear/Clothes P6M | Answer Selections <= 3 | Response in % | Among Gen Z (15-29) Who Purchased Footwear/Clothes P6M | Answer Selections <= 3 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Social Media (e.g. TikTok, Instagram)
24W1
19
24W2
20
25W1
27
25W2
25
▼ 2
Online Generalist Marketplace (e.g. Amazon)
24W1
28
24W2
26
25W1
32
25W2
24
▼ 8
Big box retailer (e.g. Target, Kohl’s, Walmart)
24W1
27
24W2
29
25W1
29
25W2
23
▼ 6
Department store (e.g. Macy’s, Nordstrom)
24W1
21
24W2
25
25W1
21
25W2
16
▼ 5
Online only fashion retailer (e.g. Shein, Temu, Romwe, ASOS)
24W1
20 ↑
24W2
13
25W1
15
25W2
16
▲ 1
Footwear retailer with multiple brands (e.g. Footlocker, DSW)
24W1
17
24W2
20
25W1
20
25W2
15
▼ 5
Brand-specific stores
24W1
12
24W2
13
25W1
13
25W2
14
▲ 1
Online only re-sale or secondhand platform (e.g. StockX, GOAT, DePop, Poshmark)
24W1
12
24W2
12
25W1
8
25W2
14
▲ 6
Independent retailer (e.g. fashion boutique, skate shop)
24W1
10
24W2
8
25W1
12
25W2
13
▲ 1
Online Only footwear stores (e.g. Zappos, Shoesazzle)
24W1
8
24W2
7
25W1
8
25W2
13 ↑
▲ 5
Sporting Good store (e.g. REI, Dick’s Sporting Goods)
24W1
12
24W2
13
25W1
15
25W2
12
▼ 3
Specialty fashion retailer (e.g. Urban Outfitters, Pacsun)
24W1
9
24W2
13
25W1
10
25W2
12
▲ 2
Brand-specific outlet or clearance store
24W1
12
24W2
10
25W1
8
25W2
11
▲ 3
Live streaming shopping / sales (e.g. YouTube Live, Instagram Live)
24W1
5
24W2
8
25W1
6
25W2
11 ↑
▲ 5
Raw data table
  24W1 24W2 25W1 25W2
Social Media (e.g. TikTok, Instagram) 19 20 27 25
Online Generalist Marketplace (e.g. Amazon) 28 26 32 24
Big box retailer (e.g. Target, Kohl’s, Walmart) 27 29 29 23
Department store (e.g. Macy’s, Nordstrom) 21 25 21 16
Online only fashion retailer (e.g. Shein, Temu, Romwe, ASOS) 20 ↑ 13 15 16
Footwear retailer with multiple brands (e.g. Footlocker, DSW) 17 20 20 15
Brand-specific stores 12 13 13 14
Online only re-sale or secondhand platform (e.g. StockX, GOAT, DePop, Poshmark) 12 12 8 14
Independent retailer (e.g. fashion boutique, skate shop) 10 8 12 13
Online Only footwear stores (e.g. Zappos, Shoesazzle) 8 7 8 13 ↑
Sporting Good store (e.g. REI, Dick’s Sporting Goods) 12 13 15 12
Specialty fashion retailer (e.g. Urban Outfitters, Pacsun) 9 13 10 12
Brand-specific outlet or clearance store 12 10 8 11
Live streaming shopping / sales (e.g. YouTube Live, Instagram Live) 5 8 6 11 ↑
Observations
  • US Gen Z fashion purchasing channels are fragmented. No single channel dominates or is pulling ahead. This shows a discovery-oriented, value-driven channels – reflecting US Gen Z shops with intention across whatever channel best serves the specific purchase moment.
  • However, online dominates – instore shopping is secondary, reflecting a digital-native shopping behavior.
  • Social commerce is rising – influencer links and brand shops on TikTok/Instagram are now primary discovery and transaction pathways. 1 in 3 US Gen Z has pu
  • US Vs. China: China Gen Z purchasing channels consolidate around online platforms and brand stores. Chinese fashion commerce is centralizing, while US fashion commerce is diversifying.
Q.49

Beauty brands

What is your favorite skincare/makeup brand?

BASE · Among Gen Z (15-29) Who Purchased Beauty Products P6M | Base: Gen Z n=160, Millennials n=74, Gen X n=9** | Multiple Answers | Response in % | Among Gen Z (15-29) Who Purchased Beauty Products P6M | Base: Gen Z n=116, Millennials n=55, Gen X n=8** | Multiple Answers | Response in %
GENERATIONAL BREAKDOWN · UNITED STATESZ · M · X
Dior
GEN Z
19
MILLENNIAL
18
GEN X
11
L’Oréal Paris
GEN Z
18
MILLENNIAL
19
GEN X
33
Chanel
GEN Z
13 ↑
MILLENNIAL
14 ↑
GEN X
11
LA ROCHE-POSAY
GEN Z
5
MILLENNIAL
8
GEN X
11
SHISEIDO
GEN Z
4
MILLENNIAL
5
GEN X
11
MAC
GEN Z
4
MILLENNIAL
3
GEN X
-
Winona
GEN Z
4
MILLENNIAL
1
GEN X
-
Lancome
GEN Z
4
MILLENNIAL
1
GEN X
-
Laneige
GEN Z
4
MILLENNIAL
-
GEN X
-
Beauty of Joseon
GEN Z
3
MILLENNIAL
3
GEN X
11
SULWHASOO
GEN Z
3
MILLENNIAL
1
GEN X
-
Curél
GEN Z
3
MILLENNIAL
1
GEN X
-
PROYA
GEN Z
3
MILLENNIAL
1
GEN X
-
COSRX
GEN Z
2
MILLENNIAL
3
GEN X
-
Sidekick
GEN Z
2
MILLENNIAL
1
GEN X
-
SK-II
GEN Z
1
MILLENNIAL
9 ↑
GEN X
-
ESTEE LAUDER
GEN Z
1
MILLENNIAL
3
GEN X
11
Medicube
GEN Z
1
MILLENNIAL
1
GEN X
-
La Mer
GEN Z
1
MILLENNIAL
3
GEN X
-
Olive Young
GEN Z
1
MILLENNIAL
-
GEN X
-
SKINCEUTICALS
GEN Z
1
MILLENNIAL
-
GEN X
-
Lab Series
GEN Z
1
MILLENNIAL
1
GEN X
-
Guerlain
GEN Z
1
MILLENNIAL
-
GEN X
-
CPB
GEN Z
1
MILLENNIAL
-
GEN X
-
GENERATIONAL BREAKDOWN · UNITED STATESZ · M · X
Dior
GEN Z
22
MILLENNIAL
29
GEN X
13
L’Oréal Paris
GEN Z
22
MILLENNIAL
18
GEN X
38
Chanel
GEN Z
14
MILLENNIAL
7
GEN X
-
LA ROCHE-POSAY
GEN Z
3
MILLENNIAL
11 ↑
GEN X
-
Lancome
GEN Z
3
MILLENNIAL
4
GEN X
-
ESTEE LAUDER
GEN Z
3
MILLENNIAL
4
GEN X
13
Laneige
GEN Z
3
MILLENNIAL
2
GEN X
-
Beauty of Joseon
GEN Z
3
MILLENNIAL
2
GEN X
-
MAC
GEN Z
3
MILLENNIAL
2
GEN X
-
Guerlain
GEN Z
3
MILLENNIAL
-
GEN X
-
Medicube
GEN Z
3
MILLENNIAL
2
GEN X
-
Winona
GEN Z
3
MILLENNIAL
-
GEN X
-
Olive Young
GEN Z
3
MILLENNIAL
-
GEN X
-
SHISEIDO
GEN Z
3
MILLENNIAL
-
GEN X
-
SK-II
GEN Z
2
MILLENNIAL
5
GEN X
13
Sidekick
GEN Z
2
MILLENNIAL
4
GEN X
13
PROYA
GEN Z
2
MILLENNIAL
2
GEN X
13
La Mer
GEN Z
2
MILLENNIAL
2
GEN X
-
Curél
GEN Z
1
MILLENNIAL
-
GEN X
-
SULWHASOO
GEN Z
1
MILLENNIAL
-
GEN X
-
Bioderma
GEN Z
1
MILLENNIAL
-
GEN X
-
CPB
GEN Z
-
MILLENNIAL
5 ↑
GEN X
-
Raw data table
  Gen Z Millennials Gen X
Dior 19 18 11
L’Oréal Paris 18 19 33
Chanel 13 ↑ 14 ↑ 11
LA ROCHE-POSAY 5 8 11
SHISEIDO 4 5 11
MAC 4 3 -
Winona 4 1 -
Lancome 4 1 -
Laneige 4 - -
Beauty of Joseon 3 3 11
SULWHASOO 3 1 -
Curél 3 1 -
PROYA 3 1 -
COSRX 2 3 -
Sidekick 2 1 -
SK-II 1 9 ↑ -
ESTEE LAUDER 1 3 11
Medicube 1 1 -
La Mer 1 3 -
Olive Young 1 - -
SKINCEUTICALS 1 - -
Lab Series 1 1 -
Guerlain 1 - -
CPB 1 - -
  Gen Z Millennials Gen X
Dior 22 29 13
L’Oréal Paris 22 18 38
Chanel 14 7 -
LA ROCHE-POSAY 3 11 ↑ -
Lancome 3 4 -
ESTEE LAUDER 3 4 13
Laneige 3 2 -
Beauty of Joseon 3 2 -
MAC 3 2 -
Guerlain 3 - -
Medicube 3 2 -
Winona 3 - -
Olive Young 3 - -
SHISEIDO 3 - -
SK-II 2 5 13
Sidekick 2 4 13
PROYA 2 2 13
La Mer 2 2 -
Curél 1 - -
SULWHASOO 1 - -
Bioderma 1 - -
CPB - 5 ↑ -
Observations
  • Skincare
  • Makeup
  • US Gen Z’s brand preferences show a broader appetite for French luxury aesthetics in beauty.
  • K-beauty are more prominent and better liked in the US than in China even if its overall presence is significantly small than global brands.
Q.50

AI Engagement

Which of the products or tools have you been using regularly or own?

BASE · Among Gen Z (15-29) Who Purchased Tech Products P6M | Multiple Answers | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
ChatGPT
24W1
54
24W2
51
25W1
68 ↑
25W2
80 ↑
▲ 12
DeepSeek
24W1
-
24W2
-
25W1
15 ↑
25W2
19 ↑
▲ 4
Claude
24W1
-
24W2
-
25W1
-
25W2
14
Grok
24W1
-
24W2
-
25W1
-
25W2
14
VR/AR (Virtual Reality/Augmented) device
24W1
25 ↑
24W2
20
25W1
16
25W2
9
▼ 7
Total
24W1
108
24W2
111
25W1
120
25W2
145
▲ 25
None of the above
24W1
30 ↑
24W2
39 ↑
25W1
21
25W2
10
▼ 11
Raw data table
  24W1 24W2 25W1 25W2
ChatGPT 54 51 68 ↑ 80 ↑
DeepSeek - - 15 ↑ 19 ↑
Claude - - - 14
Grok - - - 14
VR/AR (Virtual Reality/Augmented) device 25 ↑ 20 16 9
Total 108 111 120 145
None of the above 30 ↑ 39 ↑ 21 10
Observations
  • US Gen Z’s AI tool engagement is at an inflection point. The era of AI tool non-use is essentially over. ChatGPT has achieved near-universal adoption, while Claude, Grok are establishing early footholds.
  • What comes next is differentiation – which tools serve which needs, and whether ChatGPT’s dominance holds as the landscape diversifies.
Q.51

Attitudes Towards AI

How do you feel about artificial intelligence (AI) – especially what tech companies have already achieved (e.g. ChatGPT, chat apps), and what’s still to come?

BASE · Among Gen Z (15-29) Who Purchased Tech Products P6M | Answer Selection <= 3 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Positive
24W1
78
24W2
79
25W1
85
25W2
88 ↑
▲ 3
Positive
24W1
50
24W2
44
25W1
61 ↑
25W2
59 ↑
▼ 2
Hopeful
24W1
44
24W2
39
25W1
49 ↑
25W2
55 ↑
▲ 6
I like it – boost productivity / efficiency
24W1
42
24W2
50
25W1
51 ↑
25W2
43
▼ 8
Help me connect with friends/family more
24W1
15
24W2
18
25W1
21
25W2
26 ↑
▲ 5
Neutral
24W1
55
24W2
61 ↑
25W1
51
25W2
50
▼ 1
Curious
24W1
23
24W2
25
25W1
20
25W2
22
▲ 2
Uncertain / not so sure
24W1
17
24W2
20
25W1
14
25W2
16
▲ 2
Looking forward to more development – wait and see
24W1
19
24W2
22 ↑
25W1
14
25W2
13
▼ 1
Indifferent / neutral
24W1
14
24W2
14
25W1
15
25W2
10
▼ 5
Negative
24W1
48 ↑
24W2
45
25W1
39
25W2
41
▲ 2
Concerned
24W1
28 ↑
24W2
28 ↑
25W1
19
25W2
17
▼ 2
Worried / anxious
24W1
23 ↑
24W2
20
25W1
17
25W2
16
▼ 1
Doubtful / unbelieving
24W1
12
24W2
12
25W1
12
25W2
13
▲ 1
Raw data table
  24W1 24W2 25W1 25W2
Positive 78 79 85 88 ↑
Positive 50 44 61 ↑ 59 ↑
Hopeful 44 39 49 ↑ 55 ↑
I like it – boost productivity / efficiency 42 50 51 ↑ 43
Help me connect with friends/family more 15 18 21 26 ↑
Neutral 55 61 ↑ 51 50
Curious 23 25 20 22
Uncertain / not so sure 17 20 14 16
Looking forward to more development – wait and see 19 22 ↑ 14 13
Indifferent / neutral 14 14 15 10
Negative 48 ↑ 45 39 41
Concerned 28 ↑ 28 ↑ 19 17
Worried / anxious 23 ↑ 20 17 16
Doubtful / unbelieving 12 12 12 13
Observations
  • US Gen Z’s AI sentiment this wave is significantly more positive compared with 2024. However, it carries more complexity than the Chinese Gen Z sentiment.
  • The hope is real and adoption is near-universal, but the concern hasn’t fully resolved – US Gen Z holds AI optimism and anxiety are simultaneously and are less likely to dramatically shift than China. It might reflect a mature, nuanced relationship with AI technology rather than a converted one.
  • Boost productivity / efficiency peaked and softened – the instrumental, utility-driven framing of AI is losing ground as the dominant positive association. AI is not only about what it does for tasks but about what it represents for the future.
  • US Gen Z’s negative sentiment possibly reflect a more direct exposure to AI’s labor market implications, more media coverage of AI risks, or the absence of more encouraging moments to reframe AI to be celebrated or be proud of like DeepSeek for Chinese Gen Z.
Q.52

Aspirational Luxury Brands

Among the luxury brands below, which ones do you aspire to purchase from / own?

BASE · Among Gen Z (15-29) Who Purchased Luxury P1Y | Answer Selection <= 3 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Chanel
24W1
21
24W2
23
25W1
26
25W2
29 ↑
▲ 3
Dior
24W1
27
24W2
27
25W1
30
25W2
25
▼ 5
Gucci
24W1
30
24W2
30
25W1
29
25W2
24
▼ 5
Louis Vuitton
24W1
15
24W2
23 ↑
25W1
17
25W2
16
▼ 1
Prada
24W1
13
24W2
20 ↑
25W1
12
25W2
14
▲ 2
CELINE
24W1
8
24W2
11
25W1
9
25W2
11
▲ 2
Burberry
24W1
9
24W2
15 ↑
25W1
10
25W2
11
▲ 1
Valentino
24W1
8
24W2
7
25W1
7
25W2
10
▲ 3
HERMES
24W1
9
24W2
9
25W1
9
25W2
9
0
Canada Goose
24W1
7
24W2
7
25W1
5
25W2
9
▲ 4
Bottega Veneta
24W1
4
24W2
7
25W1
3
25W2
9 ↑
▲ 6
RIMOWA
24W1
-
24W2
-
25W1
6
25W2
9
▲ 3
Saint Laurent
24W1
8
24W2
9
25W1
11
25W2
8
▼ 3
Balenciaga
24W1
6
24W2
13 ↑
25W1
9
25W2
8
▼ 1
Amiri
24W1
7
24W2
7
25W1
8
25W2
8
0
Versace
24W1
13
24W2
15 ↑
25W1
15 ↑
25W2
7
▼ 8
Fendi
24W1
11
24W2
7
25W1
10
25W2
7
▼ 3
Maison Margiela
24W1
5
24W2
6
25W1
4
25W2
6
▲ 2
MARNI
24W1
3
24W2
5
25W1
4
25W2
6
▲ 2
Loewe
24W1
9
24W2
6
25W1
5
25W2
5
0
Moncler
24W1
5
24W2
6
25W1
5
25W2
5
0
Raw data table
  24W1 24W2 25W1 25W2
Chanel 21 23 26 29 ↑
Dior 27 27 30 25
Gucci 30 30 29 24
Louis Vuitton 15 23 ↑ 17 16
Prada 13 20 ↑ 12 14
CELINE 8 11 9 11
Burberry 9 15 ↑ 10 11
Valentino 8 7 7 10
HERMES 9 9 9 9
Canada Goose 7 7 5 9
Bottega Veneta 4 7 3 9 ↑
RIMOWA - - 6 9
Saint Laurent 8 9 11 8
Balenciaga 6 13 ↑ 9 8
Amiri 7 7 8 8
Versace 13 15 ↑ 15 ↑ 7
Fendi 11 7 10 7
Maison Margiela 5 6 4 6
MARNI 3 5 4 6
Loewe 9 6 5 5
Moncler 5 6 5 5
Observations
  • US Gen Z luxury aspiration is re-organizing – away from the bold, logo-driven brands toward a more refined, understated aesthetic.
  • Chanel: the only brand with a consistent upward trend – the brand’s combination of heritage, timelessness, prestige resonates with Gen Z in US and China.
  • The quiet luxury cluster is building: Bottega Veneta, Celine, Canada Goose, Maison Margiela, Marni – all either are holding or nudging upward. They share similar aesthetic: understated, quality-focused, not logo-dependent.
  • Travel-linked and lifestyle luxury is becoming more relevant: Rimowa is notable because it entered recently and immediately matches legacy brands.
  • Gucci and Dior are softening from their peak. Gucci in particular losing ground after cultural dominance in previous waves – its maximalist aesthetic direction losing relevance as quieter luxury gains appeal.
Q.53

Luxury Perception

What aspects make a product or experience luxurious? Please choose 2 aspects that are most relevant or important to you.

BASE · Among Gen Z (15-29) Who Purchased Luxury P1Y | Answer Selection = 2 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Unparalleled quality and craftsmanship
24W2
25
25W1
31
25W2
30
▼ 1
Things or experiences that will bring positive emotions to me
24W2
33
25W1
36 ↑
25W2
26
▼ 10
Goods or experiences that are scarce or difficult to obtain
24W2
24
25W1
23
25W2
26
▲ 3
A rich heritage and legacy in brand, craftsmanship, etc.
24W2
23
25W1
21
25W2
26
▲ 5
A famous designer / creator
24W2
21
25W1
16
25W2
26 ↑
▲ 10
A sense of pampering and indulgence
24W2
28
25W1
30
25W2
24
▼ 6
Collectable piece / worth investment – its value will not depreciate or may even appreciate
24W2
26
25W1
26
25W2
24
▼ 2
Higher price
24W2
20
25W1
17
25W2
17
0
Raw data table
  24W2 25W1 25W2
Unparalleled quality and craftsmanship 25 31 30
Things or experiences that will bring positive emotions to me 33 36 ↑ 26
Goods or experiences that are scarce or difficult to obtain 24 23 26
A rich heritage and legacy in brand, craftsmanship, etc. 23 21 26
A famous designer / creator 21 16 26 ↑
A sense of pampering and indulgence 28 30 24
Collectable piece / worth investment – its value will not depreciate or may even appreciate 26 26 24
Higher price 20 17 17
Observations
  • Overall, US Gen Z’s perceptions of luxury is compressed and fragmented – distributed across multiple dimensions – suggesting a more pluralistic and less consolidated luxury philosophy.
  • Famous designer/creator made the biggest jump. Possibly shows US Gen Z increasingly associates luxury with a named creator rather than institutional heritage – reflecting a broader cultural moment around designer celebrity and cultural figures.
  • Positive emotions softened – seems like luxury needs to justify itself beyond just making one feel good.
  • Quality and craftsmanship is still the most aligned definition.
Q.54

Drivers for Luxury

What is the most important factor that drove you to purchase from luxury brands for yourself to use in the past 1 year?

BASE · Among Gen Z (15-29) Who Purchased Luxury P1Y | Single Answer | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
To reward myself
24W2
23
25W1
22
25W2
20
▼ 2
To treat myself well
24W2
14
25W1
10
25W2
14
▲ 4
To make me feel special (that I’m enjoying something that are somewhat exclusive)
24W2
13
25W1
15
25W2
13
▼ 2
Exquisite design and quality
24W2
9
25W1
15
25W2
12
▼ 3
To mark my success
24W2
11
25W1
7
25W2
10
▲ 3
To celebrate a special occasion (e.g. anniversary/birthday, promotion, special milestones)
24W2
8
25W1
9
25W2
9
0
To express my individuality
24W2
11
25W1
9
25W2
8
▼ 1
To gain respect
24W2
-
25W1
-
25W2
7
To show that I’m discerning
24W2
5
25W1
3
25W2
6
▲ 3
As an investment that may appreciate in value over time
24W2
7 ↑
25W1
9 ↑
25W2
2
▼ 7
Raw data table
  24W2 25W1 25W2
To reward myself 23 22 20
To treat myself well 14 10 14
To make me feel special (that I’m enjoying something that are somewhat exclusive) 13 15 13
Exquisite design and quality 9 15 12
To mark my success 11 7 10
To celebrate a special occasion (e.g. anniversary/birthday, promotion, special milestones) 8 9 9
To express my individuality 11 9 8
To gain respect - - 7
To show that I’m discerning 5 3 6
As an investment that may appreciate in value over time 7 ↑ 9 ↑ 2
Observations
  • Top drivers for luxury purchase are around internal, intimate personal emotions – self-reward, treating oneself well, feeling special, celebrating occasions.
  • The external rational and social justifications such as investment, respect, individuality are not as strong and in decline.
  • US vs. China: US Gen Z luxury buyers are becoming more purely emotional and experiential in their motivation; Chinese Gen Z luxury buyers are maintaining a rational financial dimension.
Section

Needs

United States
Q.55

Food and Beverages

What are your main considerations when purchasing food and beverages? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Food P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Emotional
24W1
100
24W2
100
25W1
100
25W2
100
0
Good value for the money
24W1
68
24W2
68
25W1
75 ↑
25W2
62
▼ 13
Brings me excitement and enjoyment
24W1
55
24W2
56
25W1
54
25W2
54
0
Shows that I have good taste
24W1
42
24W2
39
25W1
37
25W2
42
▲ 5
I resonate with the value of the brand
24W1
33
24W2
40
25W1
34
25W2
37
▲ 3
It helps me contribute to sustainability (e.g. packaging, minimum waste)
24W1
32 ↑
24W2
22
25W1
23
25W2
32 ↑
▲ 9
Support local community
24W1
30
24W2
30
25W1
25
25W2
32
▲ 7
It can be a conversation piece
24W1
24
24W2
23
25W1
18
25W2
31 ↑
▲ 13
Helps me fit in or to be part of a community
24W1
21
24W2
27
25W1
25
25W2
31 ↑
▲ 6
KOL/influencer endorsed or recommended (on social media or live streaming)
24W1
18
24W2
15
25W1
11
25W2
25 ↑
▲ 14
Functional
24W1
90
24W2
86
25W1
95 ↑
25W2
85
▼ 10
Clean and healthy (e.g. minimum additives, non-GMO)
24W1
53 ↑
24W2
52
25W1
55 ↑
25W2
44
▼ 11
Rich in nutrition
24W1
45
24W2
47
25W1
55 ↑
25W2
43
▼ 12
Simplify food preparation / save time
24W1
49 ↑
24W2
51 ↑
25W1
53 ↑
25W2
34
▼ 19
Organic ingredients
24W1
30
24W2
32
25W1
35
25W2
34
▼ 1
Raw data table
  24W1 24W2 25W1 25W2
Emotional 100 100 100 100
Good value for the money 68 68 75 ↑ 62
Brings me excitement and enjoyment 55 56 54 54
Shows that I have good taste 42 39 37 42
I resonate with the value of the brand 33 40 34 37
It helps me contribute to sustainability (e.g. packaging, minimum waste) 32 ↑ 22 23 32 ↑
Support local community 30 30 25 32
It can be a conversation piece 24 23 18 31 ↑
Helps me fit in or to be part of a community 21 27 25 31 ↑
KOL/influencer endorsed or recommended (on social media or live streaming) 18 15 11 25 ↑
Functional 90 86 95 ↑ 85
Clean and healthy (e.g. minimum additives, non-GMO) 53 ↑ 52 55 ↑ 44
Rich in nutrition 45 47 55 ↑ 43
Simplify food preparation / save time 49 ↑ 51 ↑ 53 ↑ 34
Organic ingredients 30 32 35 34
Q.56

Alcohol

What are your main considerations when purchasing Alcohol? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Alcohol P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Emotional
24W1
100
24W2
100
25W1
100
25W2
100
0
Good value for money
24W1
68
24W2
71
25W1
81 ↑
25W2
59
▼ 22
Its value maintains over time / Collectable
24W1
46
24W2
34
25W1
42
25W2
56 ↑
▲ 14
Shows that I have good taste
24W1
49
24W2
53
25W1
52
25W2
44
▼ 8
I resonate with the lifestyle values of the brand or the product concept
24W1
30
24W2
33
25W1
37
25W2
43
▲ 6
Helps me fit in or to be part of a community
24W1
30
24W2
43
25W1
33
25W2
40
▲ 7
It can be a conversation piece
24W1
41
24W2
40
25W1
33
25W2
38
▲ 5
KOL/influencer endorsed or recommended
24W1
28
24W2
19
25W1
23
25W2
35 ↑
▲ 12
Functional
24W1
95
24W2
91
25W1
96
25W2
96
0
Can be easily mixed with other ingredients to create new drinks
24W1
62
24W2
47
25W1
60
25W2
58
▼ 2
Authentic taste of its origin
24W1
46
24W2
57
25W1
40
25W2
46
▲ 6
It’s made of high-quality ingredients and process, and comes from the best origins
24W1
50
24W2
57
25W1
44
25W2
42
▼ 2
Good for gifting
24W1
50
24W2
47
25W1
56
25W2
41
▼ 15
Raw data table
  24W1 24W2 25W1 25W2
Emotional 100 100 100 100
Good value for money 68 71 81 ↑ 59
Its value maintains over time / Collectable 46 34 42 56 ↑
Shows that I have good taste 49 53 52 44
I resonate with the lifestyle values of the brand or the product concept 30 33 37 43
Helps me fit in or to be part of a community 30 43 33 40
It can be a conversation piece 41 40 33 38
KOL/influencer endorsed or recommended 28 19 23 35 ↑
Functional 95 91 96 96
Can be easily mixed with other ingredients to create new drinks 62 47 60 58
Authentic taste of its origin 46 57 40 46
It’s made of high-quality ingredients and process, and comes from the best origins 50 57 44 42
Good for gifting 50 47 56 41
Q.57

Footwear

What are your main considerations when purchasing Footwear? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Footwear P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Emotional
24W1
100
24W2
98
25W1
99
25W2
100
▲ 1
Good value for the money
24W1
59
24W2
60
25W1
52
25W2
53
▲ 1
Makes me look youthful / young
24W1
27
24W2
22
25W1
28
25W2
37 ↑
▲ 9
It helps me contribute to sustainability (e.g. recycled material, simple packaging)
24W1
31 ↑
24W2
20
25W1
32
25W2
26
▼ 6
Its value maintains over time / Collectable
24W1
20
24W2
22
25W1
24
25W2
25
▲ 1
Helps me fit in or to be part of a community
24W1
23
24W2
21
25W1
25
25W2
24
▼ 1
I resonate with the sport / lifestyle / aesthetic values of the brand
24W1
27
24W2
25
25W1
31
25W2
21
▼ 10
Let’s me customize
24W1
27
24W2
28
25W1
19
25W2
21
▲ 2
Limited edition – it’s rare and owned by few people稀缺性
24W1
18
24W2
18
25W1
11
25W2
21
▲ 10
Looks expensive
24W1
19
24W2
19
25W1
16
25W2
21
▲ 5
KOL/influencer endorsed or recommended (on social media or live streaming)
24W1
13
24W2
13
25W1
11
25W2
20
▲ 9
It can be a conversation piece
24W1
21
24W2
23
25W1
24
25W2
18
▼ 6
Function/performance related
24W1
92
24W2
94
25W1
96
25W2
96
0
Comfortable to wear all day
24W1
61
24W2
63
25W1
67
25W2
56
▼ 11
Versatile – good for everyday living (work, school, going out) and doing sports
24W1
48
24W2
56
25W1
51
25W2
50
▼ 1
Basic weather and outdoor technology and function (e.g. water proof, anti-tear)
24W1
39
24W2
43
25W1
44
25W2
38
▼ 6
Latest / popular style and elements
24W1
30
24W2
25
25W1
26
25W2
38 ↑
▲ 12
Raw data table
  24W1 24W2 25W1 25W2
Emotional 100 98 99 100
Good value for the money 59 60 52 53
Makes me look youthful / young 27 22 28 37 ↑
It helps me contribute to sustainability (e.g. recycled material, simple packaging) 31 ↑ 20 32 26
Its value maintains over time / Collectable 20 22 24 25
Helps me fit in or to be part of a community 23 21 25 24
I resonate with the sport / lifestyle / aesthetic values of the brand 27 25 31 21
Let’s me customize 27 28 19 21
Limited edition – it’s rare and owned by few people稀缺性 18 18 11 21
Looks expensive 19 19 16 21
KOL/influencer endorsed or recommended (on social media or live streaming) 13 13 11 20
It can be a conversation piece 21 23 24 18
Function/performance related 92 94 96 96
Comfortable to wear all day 61 63 67 56
Versatile – good for everyday living (work, school, going out) and doing sports 48 56 51 50
Basic weather and outdoor technology and function (e.g. water proof, anti-tear) 39 43 44 38
Latest / popular style and elements 30 25 26 38 ↑
Q.58

Apparel

What are your main considerations when purchasing Clothes? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Apparel P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Emotional
24W1
99
24W2
98
25W1
99
25W2
99
0
Good value for the money
24W1
52
24W2
66 ↑
25W1
51
25W2
47
▼ 4
Its value maintains over time / Collectable
24W1
22
24W2
23
25W1
24
25W2
30 ↑
▲ 6
It helps me contribute to sustainability (e.g. recycled material, simple packaging)
24W1
19
24W2
14
25W1
28 ↑
25W2
28 ↑
0
Let’s me customize
24W1
38 ↑
24W2
30
25W1
24
25W2
27
▲ 3
Helps me fit in or to be part of a community
24W1
24
24W2
26
25W1
25
25W2
27
▲ 2
KOL/influencer endorsed or recommended (on social media or live streaming)
24W1
15
24W2
9
25W1
14
25W2
25 ↑
▲ 11
Makes me look youthful / young
24W1
29
24W2
26
25W1
29
25W2
24
▼ 5
I resonate with the sport / lifestyle / aesthetic values of the brand
24W1
23
24W2
19
25W1
22
25W2
24
▲ 2
Limited edition – it’s rare and owned by few people
24W1
18
24W2
16
25W1
18
25W2
22
▲ 4
It can be a conversation piece
24W1
22
24W2
24
25W1
24
25W2
21
▼ 3
Looks expensive
24W1
16
24W2
20
25W1
19
25W2
17
▼ 2
Function/performance related
24W1
92
24W2
94
25W1
94
25W2
90
▼ 4
Comfortable to wear all day
24W1
65 ↑
24W2
67 ↑
25W1
64
25W2
55
▼ 9
Versatile – good for everyday living (work, school, going out) and doing sports
24W1
51
24W2
50
25W1
50
25W2
46
▼ 4
Basic weather and outdoor technology and function (e.g. water proof, anti-tear)
24W1
36
24W2
36
25W1
40
25W2
42
▲ 2
It’s classic and does not go out of date easily
24W1
39
24W2
40
25W1
42
25W2
37
▼ 5
Raw data table
  24W1 24W2 25W1 25W2
Emotional 99 98 99 99
Good value for the money 52 66 ↑ 51 47
Its value maintains over time / Collectable 22 23 24 30 ↑
It helps me contribute to sustainability (e.g. recycled material, simple packaging) 19 14 28 ↑ 28 ↑
Let’s me customize 38 ↑ 30 24 27
Helps me fit in or to be part of a community 24 26 25 27
KOL/influencer endorsed or recommended (on social media or live streaming) 15 9 14 25 ↑
Makes me look youthful / young 29 26 29 24
I resonate with the sport / lifestyle / aesthetic values of the brand 23 19 22 24
Limited edition – it’s rare and owned by few people 18 16 18 22
It can be a conversation piece 22 24 24 21
Looks expensive 16 20 19 17
Function/performance related 92 94 94 90
Comfortable to wear all day 65 ↑ 67 ↑ 64 55
Versatile – good for everyday living (work, school, going out) and doing sports 51 50 50 46
Basic weather and outdoor technology and function (e.g. water proof, anti-tear) 36 36 40 42
It’s classic and does not go out of date easily 39 40 42 37
Q.59

Beauty

What are your main considerations when purchasing skincare/haircare/makeup products? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Beauty P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Emotional
24W1
100
24W2
100
25W1
100
25W2
99
▼ 1
Good value for money
24W1
65 ↑
24W2
71 ↑
25W1
69 ↑
25W2
56
▼ 13
Makes me look/feel young/youthful
24W1
49
24W2
59 ↑
25W1
57 ↑
25W2
43
▼ 14
It helps me contribute to sustainability (e.g., refillable or recyclable jar)
24W1
27
24W2
26
25W1
31
25W2
30
▼ 1
Helps me fit in or to be part of a community
24W1
26
24W2
25
25W1
26
25W2
29
▲ 3
I resonate with the lifestyle created by the brand/product
24W1
-
24W2
-
25W1
-
25W2
29
I resonate with the aesthetic values of the brand/product
24W1
31
24W2
26
25W1
37
25W2
28
▼ 9
KOL/influencer endorsed or recommended (on social media or live streaming)
24W1
22
24W2
19
25W1
17
25W2
25
▲ 8
Makes me feel rich
24W1
25
24W2
16
25W1
25
25W2
24
▼ 1
It looks like a collectible piece of art
24W1
21
24W2
14
25W1
25
25W2
24
▼ 1
It’s rare and owned by few people
24W1
19
24W2
18
25W1
12
25W2
23
▲ 11
It can be a conversation piece
24W1
26
24W2
25
25W1
21
25W2
22
▲ 1
Functional
24W1
91
24W2
95
25W1
90
25W2
85
▼ 5
Its ingredients are natural and feel clean (e.g., extracted from botanical or marine ingredients)
24W1
55
24W2
57
25W1
57
25W2
50
▼ 7
Simpler skincare/haircare/makeup steps to save time
24W1
57 ↑
24W2
56 ↑
25W1
53
25W2
44
▼ 9
Let’s me customize
24W1
40 ↑
24W2
38
25W1
29
25W2
29
0
It employs the most advanced technology & high-tech ingredients
24W1
19
24W2
24
25W1
25
25W2
27 ↑
▲ 2
Gender specific
24W1
19
24W2
27 ↑
25W1
16
25W2
18
▲ 2
Raw data table
  24W1 24W2 25W1 25W2
Emotional 100 100 100 99
Good value for money 65 ↑ 71 ↑ 69 ↑ 56
Makes me look/feel young/youthful 49 59 ↑ 57 ↑ 43
It helps me contribute to sustainability (e.g., refillable or recyclable jar) 27 26 31 30
Helps me fit in or to be part of a community 26 25 26 29
I resonate with the lifestyle created by the brand/product - - - 29
I resonate with the aesthetic values of the brand/product 31 26 37 28
KOL/influencer endorsed or recommended (on social media or live streaming) 22 19 17 25
Makes me feel rich 25 16 25 24
It looks like a collectible piece of art 21 14 25 24
It’s rare and owned by few people 19 18 12 23
It can be a conversation piece 26 25 21 22
Functional 91 95 90 85
Its ingredients are natural and feel clean (e.g., extracted from botanical or marine ingredients) 55 57 57 50
Simpler skincare/haircare/makeup steps to save time 57 ↑ 56 ↑ 53 44
Let’s me customize 40 ↑ 38 29 29
It employs the most advanced technology & high-tech ingredients 19 24 25 27 ↑
Gender specific 19 27 ↑ 16 18
Q.60

Tech

What are your main considerations when purchasing tech products? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Beauty P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Emotional
24W1
100
24W2
100
25W1
100
25W2
100
0
Feel my privacy/data security is well protected
24W1
50
24W2
47
25W1
51
25W2
51
0
Makes it easier and more convenient to enjoy my life
24W1
53
24W2
57 ↑
25W1
56
25W2
47
▼ 9
A tool to take better care of myself, e.g. help me to have a healthier life style/habits
24W1
42
24W2
35
25W1
44
25W2
45
▲ 1
Brands that show strong support of sustainability
24W1
35
24W2
30
25W1
37
25W2
41 ↑
▲ 4
Its value maintains over time / Collectable
24W1
32
24W2
35
25W1
37
25W2
38
▲ 1
I resonate with the value of the brand
24W1
33
24W2
31
25W1
32
25W2
36
▲ 4
Helps me fit in or to be part of a community
24W1
32
24W2
25
25W1
31
25W2
36 ↑
▲ 5
It can be a conversation piece
24W1
26
24W2
26
25W1
24
25W2
32
▲ 8
KOL/influencer endorsed or recommended (on social media or live streaming)
24W1
20
24W2
17
25W1
23
25W2
30 ↑
▲ 7
Functional
24W1
90
24W2
94 ↑
25W1
90
25W2
84
▼ 6
Easy to use
24W1
64 ↑
24W2
73 ↑
25W1
56
25W2
46
▼ 10
Latest or most advanced technology
24W1
41
24W2
37
25W1
34
25W2
35
▲ 1
Lets me customize
24W1
34
24W2
44 ↑
25W1
39
25W2
33
▼ 6
Can boost productivity
24W1
38
24W2
42 ↑
25W1
35
25W2
31
▼ 4
Raw data table
  24W1 24W2 25W1 25W2
Emotional 100 100 100 100
Feel my privacy/data security is well protected 50 47 51 51
Makes it easier and more convenient to enjoy my life 53 57 ↑ 56 47
A tool to take better care of myself, e.g. help me to have a healthier life style/habits 42 35 44 45
Brands that show strong support of sustainability 35 30 37 41 ↑
Its value maintains over time / Collectable 32 35 37 38
I resonate with the value of the brand 33 31 32 36
Helps me fit in or to be part of a community 32 25 31 36 ↑
It can be a conversation piece 26 26 24 32
KOL/influencer endorsed or recommended (on social media or live streaming) 20 17 23 30 ↑
Functional 90 94 ↑ 90 84
Easy to use 64 ↑ 73 ↑ 56 46
Latest or most advanced technology 41 37 34 35
Lets me customize 34 44 ↑ 39 33
Can boost productivity 38 42 ↑ 35 31
Q.61

Luxury

What are your main considerations when purchasing Luxury products or experience? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Beauty P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Emotional
24W1
100
24W2
100
25W1
100
25W2
100
0
Brands that show strong support of sustainability / It helps me contribute to sustainability
24W1
32
24W2
34
25W1
39
25W2
45 ↑
▲ 6
Feel indulged (the shopping experience, how people treat me)
24W1
34
24W2
34
25W1
34
25W2
38
▲ 4
Shows that I’m trendy and stylish
24W1
44
24W2
43
25W1
38
25W2
38
0
Its value maintains over time / Collectable
24W1
34
24W2
39
25W1
39
25W2
35
▼ 4
Helps me stand out or feel different
24W1
39
24W2
42
25W1
48
25W2
33
▼ 15
I resonate with the values and lifestyles expressed by the brand
24W1
34
24W2
30
25W1
32
25W2
33
▲ 1
Makes me feel rich
24W1
34
24W2
30
25W1
35
25W2
32
▼ 3
It can be a conversation piece
24W1
28
24W2
29
25W1
29
25W2
32
▲ 3
Helps me fit in or to be part of a community
24W1
30
24W2
26
25W1
30
25W2
30
0
KOL/influencer endorsed or recommended (on social media or live streaming)
24W1
26
24W2
22
25W1
25
25W2
29
▲ 4
It’s rare and owned by few people
24W1
39
24W2
32
25W1
35
25W2
27
▼ 8
Looks expensive
24W1
28 ↑
24W2
29 ↑
25W1
18
25W2
21
▲ 3
Functional
24W1
73
24W2
79
25W1
73
25W2
83 ↑
▲ 10
Its style does not go out of date easily
24W1
26
24W2
33
25W1
26
25W2
40 ↑
▲ 14
Durable and can be used for a long time
24W1
37
24W2
39
25W1
41
25W2
34
▼ 7
I can wear them for many occasions/ activities/ looks
24W1
38
24W2
38
25W1
30
25W2
32
▲ 2
Raw data table
  24W1 24W2 25W1 25W2
Emotional 100 100 100 100
Brands that show strong support of sustainability / It helps me contribute to sustainability 32 34 39 45 ↑
Feel indulged (the shopping experience, how people treat me) 34 34 34 38
Shows that I’m trendy and stylish 44 43 38 38
Its value maintains over time / Collectable 34 39 39 35
Helps me stand out or feel different 39 42 48 33
I resonate with the values and lifestyles expressed by the brand 34 30 32 33
Makes me feel rich 34 30 35 32
It can be a conversation piece 28 29 29 32
Helps me fit in or to be part of a community 30 26 30 30
KOL/influencer endorsed or recommended (on social media or live streaming) 26 22 25 29
It’s rare and owned by few people 39 32 35 27
Looks expensive 28 ↑ 29 ↑ 18 21
Functional 73 79 73 83 ↑
Its style does not go out of date easily 26 33 26 40 ↑
Durable and can be used for a long time 37 39 41 34
I can wear them for many occasions/ activities/ looks 38 38 30 32
Q.62

Auto

What are your main considerations when purchasing cars? Please choose 5 most important considerations.

BASE · Among Gen Z (15-29) Who Purchased Beauty P6M | Answer Selections = 5 | Response in %
WAVE TREND · UNITED STATES · GEN Z△ = 25W2 vs 25W1
Functional
24W1
94
24W2
98
25W1
96
25W2
97
▲ 1
Safety features of the car
24W1
49 ↑
24W2
45 ↑
25W1
44
25W2
37
▼ 7
Durable, reliable and requires minimum repair
24W1
52 ↑
24W2
46 ↑
25W1
41
25W2
35
▼ 6
Comfortable interior design with high quality
24W1
42
24W2
40
25W1
39
25W2
34
▼ 5
Fuel efficiency / Battery efficiency (e.g. mileage range)
24W1
43 ↑
24W2
47 ↑
25W1
39
25W2
33
▼ 6
Easy and convenient to charge the battery (e.g. availability of charging stations, fast charge), if it’s an electric
24W1
20
24W2
24
25W1
27 ↑
25W2
33 ↑
▲ 6
The size of car must accommodate my family and storage needs
24W1
36
24W2
36
25W1
30
25W2
31
▲ 1
Exciting to drive – acceleration and easy to handle
24W1
39 ↑
24W2
34
25W1
31
25W2
29
▼ 2
Self-driving features/driverless technology, e.g. adaptive cruise control, lane keeping assist, parking assist, full
24W1
24
24W2
22
25W1
22
25W2
28
▲ 6
Easy access to excellent service and after-sale support
24W1
25
24W2
29
25W1
30
25W2
23
▼ 7
Potential resale value
24W1
23
24W2
22
25W1
22
25W2
22
0
Emotional
24W1
66
24W2
71
25W1
77 ↑
25W2
81 ↑
▲ 4
Helps me stand out or feel different (such as being an early adopter of the latest technology)
24W1
20
24W2
26
25W1
30 ↑
25W2
36 ↑
▲ 6
Helps me fit in or to be part of a community / connect with other owners
24W1
20
24W2
23
25W1
25
25W2
31 ↑
▲ 6
Brands that show strong support of sustainability / It helps me contribute to sustainability
24W1
27
24W2
27
25W1
32
25W2
31
▼ 1
KOL/influencer endorsed or recommended (on social media or live streaming)
24W1
15
24W2
14
25W1
18
25W2
27 ↑
▲ 9
I resonate with the values and lifestyles expressed by the brand
24W1
23
24W2
25
25W1
28
25W2
26
▼ 2
It can be a conversation piece
24W1
21
24W2
20
25W1
23
25W2
23
0
Raw data table
  24W1 24W2 25W1 25W2
Functional 94 98 96 97
Safety features of the car 49 ↑ 45 ↑ 44 37
Durable, reliable and requires minimum repair 52 ↑ 46 ↑ 41 35
Comfortable interior design with high quality 42 40 39 34
Fuel efficiency / Battery efficiency (e.g. mileage range) 43 ↑ 47 ↑ 39 33
Easy and convenient to charge the battery (e.g. availability of charging stations, fast charge), if it’s an electric 20 24 27 ↑ 33 ↑
The size of car must accommodate my family and storage needs 36 36 30 31
Exciting to drive – acceleration and easy to handle 39 ↑ 34 31 29
Self-driving features/driverless technology, e.g. adaptive cruise control, lane keeping assist, parking assist, full 24 22 22 28
Easy access to excellent service and after-sale support 25 29 30 23
Potential resale value 23 22 22 22
Emotional 66 71 77 ↑ 81 ↑
Helps me stand out or feel different (such as being an early adopter of the latest technology) 20 26 30 ↑ 36 ↑
Helps me fit in or to be part of a community / connect with other owners 20 23 25 31 ↑
Brands that show strong support of sustainability / It helps me contribute to sustainability 27 27 32 31
KOL/influencer endorsed or recommended (on social media or live streaming) 15 14 18 27 ↑
I resonate with the values and lifestyles expressed by the brand 23 25 28 26
It can be a conversation piece 21 20 23 23
Observations
  • Across consumable categories, value consciousness peaked and is now softening, for food (75 -> 62%), alcohol (81 ->59%), beauty (69 -> 56%), apparel (66 -> 47%). The acute value seeking priority appears to be a momentary shift.
  • KOL and influencer endorsement is making a surprising comeback among US Gen Z – in sharp contrast with Chinese Gen Z. Most categories show significant growth on KOL endorsement: Food, alcohol, apparel, tech, auto, a significant consideration for 1 in 3 or 1 in 4 US Gen Z. This may reflect TikTok Shop’s growing influence, and a more creator-economy embedded consumer culture in the US.
  • Community and belonging (“Helps me fit into a community”; “can be a conversation piece”) as purchase consideration are rising across some categories: Food, alcohol, tech, auto in particular. The desire to fit in through consumption is becoming more prominent – consistent with the broader belonging jump in the values and lifestyle data.
  • Functional considerations are softening across the board, especially food, tech, auto, and beauty, while at the same time emotional drivers are holding or rising (some significant, some more upward trend) in these categories. Purchasing has becoming more emotionally and socially driven, less purely performance-oriented.
  • Considerations for cars shifted dramatically. Now 1 in 3 US Gen Z prioritize “easy to charge” – among the top tier driver cluster, rising from the least prioritized factor. Emotional drivers for car purchasing consistently rise since tracking, signaling US Gen Z car buyers are becoming more emotionally and socially motivated – the car as identity and community signal is rising over more functional specifications.
  • Considerations for luxury goods are mostly consistent, except for the need to “look expensive” dropped significantly (now 1 in 5 from almost 1 in 3) while “style does not go out of date” jumped to 40% - it has become the most sought after functional aspect (previously it was least prioritized). This aligns with the quiet luxury aspiration in earlier data and the shift toward heritage and enduring quality as luxury definitions.
  • Across all categories, US Gen Z purchase consideration landscape relaxed from value consciousness, function-driven to more emotional, communal, social motivations.