Despite continued technical progress, public sentiment toward artificial intelligence (AI) is deteriorating: more people now doubt that AI improves everyday life. Axios reported on Wednesday that the National Republican Senatorial Committee (NRSC) sent a memo to major U.S. AI companies warning that planned data centers are harming the party’s prospects in a key Ohio election.
Polling: rising concern and declining trust
A recent Pew Research study found that 52% of Americans say they are “more concerned than excited” about increased AI use in daily life, up from 37% in 2021. A CNBC poll of 18- to 34-year-olds asked respondents about nine prominent AI industry leaders and found a majority did not trust those individuals to “act responsibly” on AI issues. A May Economist/YouGov poll reported that over 70% of Americans believe AI is advancing too quickly.
Economic effects and local pushback
Public discontent is beginning to hit corporate balance sheets. The Wall Street Journal reported this week that technology companies are facing a PR crisis over plans to build AI data centers across the U.S., prompting them to offer sweeter local deals such as job guarantees, investments in clean water and other community incentives. In one instance, a Louisiana parish was offered $50,000 bonuses for teachers.
The common thread is that consumers do not see how AI is making their lives better, yet they are asked to absorb some of the costs. For an industry that has raised hundreds of billions of dollars on promises of AI’s inevitability, souring public sentiment is becoming a business problem rather than merely a public-relations headache.
How people perceive AI — and why they pull back
Many consumers now think of AI in narrower terms — chatbots or AI-enhanced search (for example, the AI-transformed Google). AI features are appearing in everyday products from email to televisions, often whether consumers wanted them or not. People view AI as a tool that can enable cheating (including among school and college students) and as a system trained on large amounts of others’ intellectual property to produce art, videos, music and writing, areas historically occupied by humans.
It is therefore not surprising that AI is facing stronger consumer backlash at this stage than earlier transformative technologies did, such as the iPhone, the personal computer or the internet at comparable points in adoption.
Retro trends and a turn toward offline life
Consumer behavior is moving, in some cases, the opposite way that many in tech expected. Young people in particular are showing renewed interest in retro technologies — from dumbphones and point-and-shoot cameras to tape decks and CD players. Classic, algorithm-free iPods are commanding strong prices on eBay. So-called “grandma hobbies” like quilting, knitting, jigsaw puzzles, and card games, as well as games such as Mahjong, are gaining popularity. In-person meetups and activities, like running clubs, are sometimes favored over online dating.
Industry response: messaging and product relevance
Some in Silicon Valley attribute the problem to messaging: executives may need to explain AI’s benefits more clearly. But the reality may be that consumers already understand AI well enough and simply find the trade-offs unacceptable. If the upside is not higher pay or shorter workweeks but the threat of job loss and minor conveniences — summarized web pages or chatty television features — skepticism hardens.
Leaders acknowledge a crisis of trust
A number of industry leaders are beginning to recognize the issue. Brian Chesky, CEO of Airbnb, said on a recent podcast that the AI backlash is real and largely tied to the industry not shipping products that “regular people” find valuable — for example, affordable on-demand medical care.
Dario Amodei, CEO of Anthropic, wrote on X this week that negative public perception of AI is a “big problem” and fundamentally a “crisis of trust.” He said people do not trust companies, governments or the tech industry because they “suspect that we are cooking up some new way to screw them over.” He argued that the sector needs to deliver on AI’s promises — for instance, breakthroughs such as curing cancer.
Conclusion
Current polls and statements from AI executives indicate that diminishing public trust in AI has moved beyond public relations into an issue with commercial consequences. Addressing it will require products and outcomes that deliver widely perceived benefits to users, not only improved communication.
