People · North America
United States
Source dates shown with each finding
People Intelligence
Public opinion and socioeconomic subgroup evidence from approved external survey sources. Exact source framing and methodological caveats remain visible.
71% expect AI to reduce the number of U.S. jobs
Americans are increasingly worried about AI-driven job displacement. In Pew's June survey, 71% said artificial intelligence will lead to fewer jobs in the United States over the next 20 years; 10% expected little difference and 5% expected more jobs.
Pew Research Center · Fieldwork Jun 22-28, 2026 · N=3,488
The “maybe later” economy.
Housing, education, work and family choices increasingly collide with financial pressure. PolisMetric keeps the U.S. Pew benchmark separate from Deloitte’s same-wave Gen Z and millennial country evidence so unlike questions are never forced into one ranking.
U.S. adults were asked whether key milestones are harder for young adults today than for their parents’ generation. This is a national perception measure, not the same question as Deloitte’s Gen Z/millennial survey and is therefore not included in the international ranking.
Financial pressure is delaying major life decisions.
These 15 country results come from the same Deloitte 2026 survey wave and the same question. Paired dots show published percentages for Gen Z and millennials; the connector shows the gap. This is not a quality ranking. Countries without a verified national value remain outside the ranking.
Deloitte Global 2026 Gen Z and Millennial Survey · fielded Nov. 24, 2025–Jan. 15, 2026 · online self-complete survey. The global study includes 22,595 respondents in 44 countries; this chart contains only source-verified country cuts in the current PolisMetric evidence pass.
Pew Research Center · Wave 193 · N=10,091 U.S. adults · fielded May 4–17, 2026 · ±1.4 percentage points for the full sample.
Political alignment and mental health are both shifting — but they are not the same story.
Pew's direct 2026 party-affiliation data show a large partisan tilt among women ages 18–29. A separate secondary reanalysis of Pew's 2020 American Trends Panel microdata reports a much higher lifetime provider-identification rate among young white women who identified as liberal. The two measures are shown together for context, not as evidence that one causes the other.
Democratic or Democratic-leaning
Republican or Republican-leaning
Women minus men in Democratic/Democratic-leaning affiliation in 2026
Liberal minus conservative among white women ages 18–29 reporting a provider had ever identified a mental-health condition
Party affiliation among women ages 18–29
In 2026, 66% of women ages 18–29 identified as or leaned Democratic, versus 27% Republican. Among men of the same age, the corresponding values were 44% and 49%. Party affiliation is not the same measure as liberal-conservative ideology.
Lifetime provider-identified mental-health condition
The question asked whether a doctor or other health-care provider had ever told the respondent they had a mental-health condition. It is not a measure of current depression, and these descriptive subgroup differences do not establish causation.
A peer-reviewed study of 86,138 U.S. 12th-graders from 2005–2018 found depressive-affect increases after 2010 were most pronounced among female liberal adolescents in its models. Because that study measures adolescent depressive affect rather than Pew's lifetime provider-identification item, PolisMetric treats it as contextual corroboration rather than a directly comparable estimate.
United States: who people trusted for health advice.
A directly comparable baseline from the Wellcome Global Monitor. “Most trusted source,” trust in government advice, and trust in medical workers are kept as separate measures. The survey was fielded in 2018; newer country-specific evidence is shown separately when a governed source is available.
named doctors or nurses as the person they trusted most for medical or health advice.
2018 national sample n=1,006 · prevalence rank #13 of 35 current PolisMetric countriesOne question, six answer groups.
Bars use the full weighted country sample denominator, matching Wellcome’s published convention. “Don’t know” and refusals remain in the denominator and are preserved as missing-response metadata.
Don’t know / refused: 0.7% of the weighted sample.
Government medical & health advice
Share answering that they trust government medical and health advice a lot or some.
Medical workers’ advice
Share saying they trust advice from medical workers such as doctors and nurses a lot or some.
Health influencers are a newer U.S. information channel.
This U.S.-only evidence measures use and conditional trust. It is deliberately not merged into the 2018 international trust ranking.
Compare the same question across PolisMetric countries.
Switch measures to inspect directly comparable 2018 values. Bars show response prevalence, not a quality score or PolisMetric ranking.
Gallup (2019), Wellcome Global Monitor – First Wave Findings. PolisMetric visualization and weighted aggregation from published survey fields. The Wellcome report states that its data and text are distributed under CC BY with attribution; report images are excluded. PolisMetric uses original charts and does not reproduce Wellcome’s graphic design.
Country percentages use the public within-country survey weight (wgt) and the full weighted country sample denominator, matching Wellcome's published country convention. Q21/Q22 combine 'A lot' + 'Some'. Don't know/refused responses remain in the denominator and are preserved as missing-response metadata; unavailable questions remain null and are never converted to zero. Fieldwork: April–December 2018. This supplemental module does not count as five independent People sources.
How United States sees AI.
Four directly comparable measures from Pew Research Center’s 2026 global AI study. Rankings below describe the prevalence of each response among the 25 PolisMetric countries covered by this release; they are not quality scores.
of adults say AI will lead to fewer jobs in United States over the next 20 years.
Share rank #3 of 25 covered PolisMetric countries · covered-country median 48%Expect AI to lead to fewer jobs
Share of adults saying AI will lead to fewer jobs in their country over the next 20 years.
Field period: Jun. 22–28, 2026Expect AI to increase inequality
Share saying AI will increase the gap between rich and poor in their country over the next 20 years.
Field period: Jun. 22–28, 2026More concerned than excited about AI
Share saying they are more concerned than excited about the increased use of AI in daily life.
Field period: Jun. 22–28, 2026Have heard or read a lot about AI
Share saying they have heard or read a lot about artificial intelligence.
Field period: Feb. 17–23, 2026See where United States sits among all 25 covered countries.
Switch the measure to compare every directly surveyed PolisMetric country on the same 0–100% scale. United States is highlighted; the gold marker shows the 25-country median.
Pew Research Center, Globally, More People Expect AI to Cause Job Loss Than Growth, published Sept. 17, 2026. International country results were fielded Feb. 8–May 13, 2026; U.S. measures shown here use the field periods printed on each card.
Pew surveyed 37 places overall. This PolisMetric comparison is restricted to the 25 countries that overlap the canonical 35-country universe. Source results are reproduced as attributed public toplines; PolisMetric does not reinterpret them as an original poll.