Americans Report Low Confidence in AI's Societal Impact
A new Pew Research Center national survey (5,119 U.S. adults, Feb. 2026) finds just 16% of Americans expect AI to have a positive impact on society over the next 20 years, while 40% expect a negative impact (Pew Research Center). Pew reports 44% of U.S. adults now use OpenAI's ChatGPT, and about a quarter use AI chatbots daily. The survey finds 67% of Americans lack confidence in the U.S. government to meaningfully regulate AI, and 59% lack confidence in companies to develop AI safely (Pew; TechCrunch; Gizmodo). Adoption has grown substantially - overall chatbot use rose from 33% in 2024 to 49% in 2026 - while skepticism about speed of AI development is widespread, with 63% saying AI is advancing too quickly.
What happened
Pew Research Center's new national survey, as reported by TechCrunch and Gizmodo, finds that just 16% of Americans say AI will have a positive impact on society over the next 20 years, while roughly 40% expect a negative impact. Pew reports 44% of U.S. adults now say they use OpenAI's ChatGPT. The survey also finds about 24-25% of respondents use AI chatbots daily. Pew reports 67% of Americans do not believe the U.S. government will meaningfully regulate AI and 59% do not trust companies to develop AI safely. The polling shows age skews in usage and attitudes: younger adults use chatbots at higher rates but are more likely to view AI negatively, with Pew reporting 14% of those under 30 expect a positive societal impact.
Technical details
Editorial analysis - technical context: Public metrics in the Pew results that matter to practitioners are adoption rates and task patterns. Reported daily-use levels (about 24-25%) and dominant ChatGPT usage (44%) indicate AI chat interfaces are now mainstream for research and work tasks, per the survey coverage. For data teams and ML engineers, mainstream usage increases the importance of robust hallucination mitigation, provenance, and rate-limit telemetry, because more end users encountering model outputs raises operational risk exposure.
Context and significance
High levels of public skepticism reported by Pew, including distrust of government regulation (67%) and companies (59%), change the environment in which AI products are developed and deployed. Observers have recently linked public sentiment to accelerated policy attention and vendor transparency demands; practitioners should view these poll results as one signal among regulators, customers, and enterprise buyers about expectations for safety, explainability, and accountability.
What to watch
For practitioners: monitor three indicators that follow from the Pew findings and the reporting:
- •changes in regulatory proposals and oversight activity that reference public concern
- •vendor disclosures and third-party audits addressing trust and safety
- •shifts in product metrics for user-reported errors, provenance tagging adoption, and enterprise procurement standards. Also watch longitudinal Pew or Gallup polling for whether younger cohorts' skepticism persists as usage matures
Scoring Rationale
The Pew Research Center survey directly measures mainstream AI adoption and public attitudes with a large national sample, providing data directly relevant to AI practitioners managing product risk, stakeholder expectations, and regulatory environment. The 16%/40% societal-impact split and near-universal skepticism about government and corporate accountability are concrete signals. Score 6.3 reflects solid relevance - an important longitudinal public-opinion dataset - without reaching the level of a major model release or regulatory action.
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