Public Backlash Raises Business Risks for AI Firms

Recent polls reveal deep skepticism toward artificial intelligence across the United States, with majorities in both parties believing the technology is advancing far too rapidly. An Economist and YouGov survey found that over 70 percent of Americans share this view, including 68 percent of Republicans and 77 percent of Democrats. Negative opinions of AI have climbed from 34 percent three years ago to more than 50 percent today, according to additional YouGov data. Younger Americans appear especially wary, with only 18 percent of those aged 14 to 29 expressing hope about the technology in a Gallup poll.

This sentiment surfaced plainly at a recent college commencement address in Florida. Real estate executive Gloria Caulfield described artificial intelligence as the next Industrial Revolution, only to draw loud boos from the audience. Such reactions align with broader concerns that AI will displace jobs, drive up electricity costs, damage the environment, and concentrate wealth further among a narrow group of technology executives and investors.

Chris Willis, chief design officer at data platform company Domo, has noticed the disconnect during recent visits to San Francisco. He described widespread anxiety from corporate leaders down to ordinary workers, who feel constant pressure to adopt AI or risk falling behind. Willis questioned why more people do not express resentment toward companies pushing the technology aggressively despite limited evidence of broad benefits. San Francisco serves as headquarters for several prominent AI firms, where enthusiasm often dominates public messaging along major corridors like US 101.

Executives at leading AI companies have expressed surprise at the scale of opposition. Some view the technology's spread as inevitable in the same way the internet expanded, yet they appear less attuned to public polling that shows otherwise. One CEO of an AI email tool company stated he had not encountered significant negative feedback in his own operations. This gap between industry perceptions and national sentiment has contributed to early signs of slowdown in certain AI projects.

Critics argue that the push for rapid adoption overlooks practical costs borne by average households. Higher energy demands from data centers could raise utility bills, while automation threatens roles in sectors ranging from customer service to professional writing. Environmental impacts from expanded computing infrastructure add another layer of concern for communities already facing resource strains.

Willis advocated for a slower, more deliberate approach to AI integration rather than following the current wave of fear of missing out. His comments echo growing calls from outside technology circles for measured evaluation before embedding these systems deeper into daily life and work. As resistance builds, companies face a choice between continuing aggressive promotion or addressing the tangible worries that polls and public reactions have made impossible to ignore.