A significant divergence is increasingly evident between the perspectives of AI experts and public opinion regarding the technology, according to Stanford University’s annual report on the AI industry, released on Monday. Specifically, the report identified a growing trend of anxiety surrounding AI, with concerns in the U.S. particularly focused on its potential impact on crucial societal domains such as employment, healthcare, and the broader economy.
These findings align with a broader surge in negative sentiment towards AI, a trend reportedly spearheaded by Generation Z, according to a recent Gallup poll. The study indicated that despite approximately half of this demographic engaging with AI daily or weekly, young people are becoming increasingly less hopeful and more frustrated with the technology.
This burgeoning public discontent has reportedly caught some in the technology sector off guard. While AI leaders have primarily concentrated on navigating the potential emergence of Artificial General Intelligence (AGI)—a theoretical superintelligence capable of human-level task execution and independent thought—the general public's anxieties are more grounded in immediate concerns, such as AI's effect on their income and the potential for increased utility costs driven by the construction of energy-intensive data centers.
It appears perplexing that segments of the tech industry remain surprised by the persistent anti-AI narratives from the public, especially given that prominent figures, including leaders from OpenAI and Anthropic, have themselves articulated warnings about significant negative societal impacts if the technology remains unregulated. This context suggests that the current public sentiment is a foreseeable outcome.
Indeed, a significant number of AI leaders may be disconnected from the everyday concerns of the populace, failing to recognize that while fears of a 'Skynet'-like scenario exist, they are not the primary catalyst for anti-AI sentiment. Instead, the public is predominantly worried about their financial stability and the escalating cost of essential services.
This growing chasm between tech leadership and public sentiment was vividly illustrated by the online reactions following recent incidents, such as the attack on OpenAI CEO Sam Altman’s home. On platforms like X, AI insiders expressed astonishment at Instagram comments that appeared to condone the attack. These online remarks echoed sentiments observed after the 2024 shooting of the United Healthcare CEO and the more recent burning of a Kimberly-Clark warehouse by an employee protesting insufficient wages, with some comments escalating to calls for more drastic, even revolutionary, actions.
One individual remarked that the severity of this public animosity only truly became apparent upon observing the comment sections on platforms like Instagram, highlighting the intensity of the negative reactions.
Stanford’s comprehensive report offers further clarity on the origins of this widespread negativity by synthesizing data on public sentiment towards AI from multiple sources.
As an illustration, the report referenced a Pew Research study published last month, which revealed that a mere 10% of Americans expressed more excitement than concern regarding AI's growing integration into daily life. In stark contrast, 56% of AI experts projected that AI would yield a positive impact on the U.S. within the next two decades.
The disparity between expert and public opinion was also pronounced in specific areas where AI is poised to have significant societal implications. The report authors highlighted that 84% of experts anticipated a largely positive impact from AI on medical care over the next two decades, a view shared by only 44% of the U.S. general public.
Furthermore, a substantial majority of experts (73%) held a positive outlook on AI's influence on the nature of work, whereas only 23% of the public shared this perspective. Similarly, 69% of experts foresaw a positive economic impact from AI. This contrasts sharply with only 21% of the public, a sentiment understandable given ongoing reports of AI-driven layoffs and widespread workplace disruptions.
Additional data from Pew Research, referenced in the report, indicated that AI experts exhibited less pessimism regarding AI's effect on the job market, while nearly two-thirds of Americans (64%) anticipate that AI will result in a reduction of available jobs over the next two decades.
The United States also registered the lowest level of public trust in its government's ability to responsibly regulate AI, standing at 31% compared to other nations. Singapore, in contrast, ranked highest with 81% trust, according to Ipsos data cited within Stanford’s report.
Furthermore, an analysis of regulation concerns at the state level concluded that, nationally, 41% of respondents believed federal AI regulation would not be sufficiently comprehensive, while only 27% felt it would be overly extensive.
Despite these overarching fears and concerns, AI did receive a singular positive acknowledgment: globally, the proportion of individuals who perceive AI products and services as offering more benefits than drawbacks saw a modest increase from 55% in 2024 to 59% in 2025.
Concurrently, however, the percentage of respondents who reported feeling "nervous" about AI also increased, rising from 50% to 52% over the identical timeframe, as per data referenced by the report's authors.
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