Topic
Polling and survey data tracking how Americans view AI's risks, benefits, and regulation, including control, safety, and economic impact.
President Donald Trump's 29 September order tells federal agencies to say 'Super Intelligence' and 'SI' instead of 'artificial intelligence' and 'AI'. Its definition of the new term points straight back to the old one and sets no capability bar for a system to clear.
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Seventy percent of American adults say they are more worried than excited about AI, and the one exception in the polling is scientific research and medicine. The fastest uptake inside medicine is administrative.
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Microsoft commissioned the 37-country survey, and its US cut puts heavy use alongside worry, with only 45% of daily users saying they trust AI results a lot.
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The same survey puts overall opposition at 61 percent among 1,503 likely voters, and New York's pause on large data-centre permits has not moved, so the people siting capacity are negotiating local politics in both parties.
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The Census Bureau study puts that hit on a par with graduating into a large recession. A separate study of 393 employees finds the productivity gains coming back to staff as a higher performance bar.
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A Vox newsletter cites the number as evidence that extinction talk has reached the mainstream. The question behind it asked Americans to rate an outcome, and that shapes what a leader can answer.
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Pew asked more than 42,000 people what AI will do to employment, and the median answer was fewer jobs. TechSpot's reading of the tables puts the most AI-aware respondents among the most worried, and a Mercer survey puts executives at 99%.
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Across 37 countries the median was 46 percent expecting AI to mean fewer jobs against 9 percent expecting more, and in the US the figure reached 71 percent. Product teams are shipping AI features to people who already expect job losses.
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Scott Bessent and FTC chairman Andrew Ferguson both pushed back on the industry's two asks in public but non-binding terms, and OpenAI said it can coordinate on safety with rivals without an antitrust waiver.
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Outside money in Alex Bores' House primary topped $40 million, and the largest disclosed sum, Anthropic's $20 million, funded a PAC in his corner. He lost anyway, and his new nonprofit starts with $10 million.
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ARIA has made human authorship a condition of chart eligibility in Australia. A disclosure label is a different build. This one needs someone empowered to judge a contested record, plus evidence they will accept.
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Noahpinion sets the prime-age employment rate near all-time highs against Ipsos and Pew findings that the public expects AI to compete with workers, which leaves headcount plans resting on a premise the aggregate data has not tested.
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Fortune's split screen at the G20 in Chapel Hill has Sam Altman calling more infrastructure the only way to keep AI cheap while hundreds outside object; the number that decides it is a 3,000-site pipeline needing county consent.
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Approval for a nearby data center fell from 43 percent to 15 percent in twelve months, and roughly half of contested projects now die. National capacity keeps growing while the risk lands on individual sites.
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With 2,059 more US data centers planned and three-quarters of Americans opposed to having one near them, local consent is now the part of the buildout that committed capital cannot put on a calendar.
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Gallup found an average of 7 in 10 Americans oppose data center construction in their area. New York and Texas both paused approvals in July and early August. A site can clear every engineering screen and still fail at a hearing.
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Opposition to compute buildouts now polls at three-quarters of Americans and has become the central charge in Senate races contested by both parties, which makes permitting, rather than megawatts or capital, the variable that moves a capacity schedule.
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Gates now pairs the robot tax with a levy on AI tokens and a revenue case built on stretched budgets. The base he names is already metered and already billed.
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His fix, a levy on robots and AI tokens, is asked to deter substitution and fund the safety net at once. It cannot do much of both.
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Chamath Palihapitiya says the state-level revolt against AI data centers could cost 200 to 300 basis points of annual US GDP. The permitting risk is now bipartisan.
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