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Pew: Only 16% of Americans Expect AI to Help Society in 2026

Pew report: 16% of Americans expect AI to help society, down from 37% in 2024 — a 21-point drop in two years.

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What percentage of Americans expect AI to help society in 2026?

Pew Research Center's 2026 'Americans and AI' report found only 16% of U.S. adults expect AI to help society, down from 37% in 2024 and 45% in 2022.

TL;DR

Pew's 2026 report: 16% expect AI to help society. · Down from 37% in 2024. · Skepticism grows as AI deployment accelerates.

Pew Research Center's 2026 'Americans and AI' report found only 16% of U.S. adults expect AI to help society. That's down from 37% in 2024 and 45% in 2022.

Key facts

  • 16% of U.S. adults expect AI to help society in 2026.
  • Down from 37% in 2024 and 45% in 2022.
  • Survey of 10,133 U.S. adults published March 2026.
  • 18-29 age group dropped from 42% to 14% since 2022.
  • 68% of enterprise buyers cite public perception as key procurement factor (McKinsey 2025).

The report, published in March 2026, surveyed 10,133 U.S. adults According to @rohanpaul_ai. The 21-point drop in two years marks the steepest decline in public optimism since Pew began tracking the question in 2021.

The erosion is broad-based but uneven. Among adults 65 and older, the share expecting AI to help fell from 22% to 9%. Among 18-29 year olds, it dropped from 42% to 14%. Partisan divides widened: 22% of Democrats vs. 11% of Republicans now expect positive outcomes.

Why trust is collapsing faster than adoption

The decline is not merely a lagging indicator of hype fatigue. It correlates with specific, high-visibility failures in 2025. A widely publicized chatbot safety incident at a major tech company in Q2 2025 — where a model generated harmful medical advice — was covered by every major news outlet. A separate incident in November 2025 involved an AI hiring tool that systematically discriminated against older applicants, resulting in a Department of Labor investigation.

The 2026 figure of 16% is lower than Pew's 2023 projection for 2026, which modeled a baseline of 30-35% under optimistic assumptions. The gap is 14-19 percentage points, suggesting the AI industry's trust-rebuilding efforts — including voluntary safety pledges and new model cards — have not moved the needle.

The trust gap is now a business risk

For AI companies, the numbers are existential. A 2025 McKinsey survey found that 68% of enterprise buyers cite public perception as a top-3 factor in procurement decisions. If only 16% of the population expects AI to benefit society, enterprise adoption — particularly in healthcare, education, and government — faces a ceiling.

OpenAI, Anthropic, and Google have each launched trust-focused marketing campaigns in the past 12 months. The data suggests they are failing. The 2026 report does not break out awareness of specific companies, but the aggregate trust number is the lowest recorded.

What the numbers don't say

The report does not measure whether skepticism is rooted in specific concerns (job loss, privacy, bias) or a generalized distrust of technology companies. Pew's 2025 follow-up survey on AI risk perception — due in June 2026 — will provide granularity. The current report also does not capture international sentiment; Pew's global survey on AI attitudes is scheduled for Q4 2026.

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Pew's June 2026 follow-up survey on specific AI risk perceptions (job loss, privacy, bias) will reveal whether the trust collapse is broad or concentrated in a few drivers. The Q4 2026 global survey will test if U.S. skepticism is an outlier or a leading indicator.

Sources cited in this article

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AI Analysis

The 16% figure is not just a negative headline — it's a structural constraint on the AI industry's growth thesis. Enterprise adoption of AI in regulated sectors (healthcare, finance, education) depends on public trust. If only 1 in 6 Americans expects AI to help, procurement teams face internal resistance from employees, regulators, and boards. Compare this to the 2021-2023 period, when AI companies could ride a wave of general optimism. The 2024-2026 collapse mirrors the pattern seen in social media trust after 2016: a rapid drop driven by specific, high-profile failures, followed by a slow recovery that never returns to peak. The AI industry's current trust-rebuilding playbook — voluntary safety pledges, model cards, marketing — appears insufficient. The partisan divergence is also a warning. If AI trust becomes a partisan issue (22% Democrat vs. 11% Republican), the industry could face asymmetric regulatory risk: Democratic administrations may impose stricter rules, while Republican administrations may deregulate but face public backlash. Either scenario is bad for stable investment.

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