Stanford Report Shows AI Experts and Public Have Diverging Views on AI Impact

Stanford University's 2026 AI industry report documents a growing disconnect between AI insiders and the general public regarding AI's societal impact. The report, based on multiple data sources including Pew Research and Ipsos, shows experts remain optimistic while public sentiment grows increasingly negative.

Key Findings from the Data

The report highlights specific areas where expert and public opinions diverge significantly:

• Overall Impact: 56% of AI experts believe AI will have a positive impact on the U.S. over the next 20 years, while only 10% of Americans say they're more excited than concerned about increased AI use in daily life.
• Medical Care: 84% of experts predict positive AI impact on medical care, compared to just 44% of the U.S. public.
• Jobs: 73% of experts feel positive about AI's impact on how people work, versus 23% of the public. Nearly two-thirds of Americans (64%) think AI will lead to fewer jobs over the next 20 years.
• Economy: 69% of experts believe AI will positively impact the economy, while only 21% of the public shares this view.

Diverging Concerns

The report notes AI leaders are primarily focused on managing Artificial General Intelligence (AGI) risks, while everyday people worry about more immediate issues:

• Impact on paychecks and employment
• Rising utility costs from energy-hungry data centers
• AI's effect on medical care quality and accessibility

This disconnect has manifested in online reactions, including responses to recent attacks on OpenAI CEO Sam Altman's home, where some comments expressed support for more radical action against AI leadership.

Trust in Regulation

The U.S. shows particularly low trust in government AI regulation:

• Only 31% of Americans trust their government to regulate AI responsibly
• Singapore ranks highest at 81% trust in government AI regulation

The report suggests Gen Z is leading negative sentiment, with young people growing less hopeful and more angry about AI technology, despite half using AI either daily or weekly.