AI unease grows in the U.S. as early enthusiasm gives way to ‘existential fear’

A growing 70% of Americans believe AI is advancing too quickly, fueling fears over job displacement, inflation, misinformation, and security, while protests and violence have erupted against data centers and AI leaders like Sam Altman. The Trump administration, initially pro-AI, is now signaling a shift toward regulation and caution amid rising public opposition and political backlash.
Public apprehension toward AI in the U.S. is intensifying, with 70% of Americans now believing the technology is developing too fast, according to polling. Concerns over unemployment, rising costs, misinformation, and security have led to protests, including booing at university speeches by AI advocates like former Google CEO Eric Schmidt and music executive Scott Borchetta. Schmidt’s graduation address at the University of Arizona was met with loud boos despite his call for students to embrace AI-driven change. The backlash extends beyond rhetoric, with opposition to AI data centers becoming a political flashpoint. Local officials supporting data center projects have faced electoral losses, and violence has escalated—including a Molotov cocktail attack on OpenAI CEO Sam Altman’s California home and gunfire targeting an Indiana city council member who backed a data center. A Gallup poll from May found 71% of Americans oppose local AI data centers, even more than those opposed to nuclear power plants, citing concerns over electricity bills, pollution, and infrastructure strain. Young Americans, burdened by student debt and inflation, fear AI will render their degrees obsolete, deepening economic anxiety. The tech industry’s AI-driven layoffs have exacerbated these worries, turning skepticism into organized resistance. Experts like Christabel Randolph of the Center for AI and Digital Policy warn AI expansion will dominate the November midterms and potentially the 2028 presidential election, framing it as a defining political issue. Even the Trump administration, which initially championed rapid AI growth to outpace China, has begun signaling caution. The White House now advocates for pre-release vetting of AI models, federal regulations, and discussions on ‘guardrails’ with China—a stark shift from its earlier deregulatory stance. The administration’s pivot reflects growing pressure from both public sentiment and political realities, as AI’s unchecked expansion faces mounting scrutiny. Randolph noted the anger stems from tangible disruptions, including higher utility costs and environmental impacts, positioning AI as a contentious issue in upcoming elections. The backlash underscores a broader cultural divide: while some see AI as an inevitable force, others view it as an existential threat demanding immediate oversight.
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