Research brief · 21 September 2026 Why people are against AI — and which of the fears survive contact with evidence Opposition to AI is not one movement. It is six different arguments, made by different people, about different harms — and they do not stand up equally. This page sorts the documented from the contested, and the contested from the false. 52% of US adults are more concerned than excited about AI in daily life Pew Research Center, June 2026 ~70% of Americans oppose an AI data centre in their local area Gallup, March 2026 5% median expert estimate of extinction or permanent disempowerment from AI AI Impacts surveys, 2022–2024 $1.5B Anthropic's copyright settlement with authors, finally approved US district court, July 2026 19% how far below trend employment sits for 22–25-year-olds in AI-exposed jobs Stanford Digital Economy Lab, Aug 2026 Part one Six camps — and they are not arguing about the same thing Lumping "AI opponents" together is the most common error in this debate. A doomer worried about extinction and a homeowner worried about her electricity bill share a stance and nothing else. Each camp is scored twice: the severity it claims, and the evidence behind it. Superintelligence and extinction Hinton, Bengio, Evan Hubinger (Anthropic), Yampolskiy, MIRI, Stop AI, FLI signatories A self-improving system slips past human control and ends us — above 10% within a decade, says Hubinger. Severity claimed5 / 5 Evidence behind it2 / 10 White-collar labour Unions, film and TV guilds, graduates, some labour economists Entry-level cognitive work is being automated away before the people doing it can build a career. Severity claimed4 / 5 Evidence behind it5 / 10 Creators and rights holders Authors, visual artists, musicians, publishers, newsrooms Their work was ingested at scale without consent or payment, and the output competes with them. Severity claimed3 / 5 Evidence behind it7 / 10 Host communities and environment Residents, mayors, climate groups, clergy, ratepayers in data-centre states Data centres raise power bills, draw down water, and industrialise farmland and quiet towns. Severity claimed3 / 5 Evidence behind it7 / 10 Civil rights and algorithmic bias AI Now Institute, ACLU, Joy Buolamwini, Timnit Gebru, Emily M. Bender Automated decisions reproduce and scale discrimination — in policing, hiring, benefits, medicine. Severity claimed4 / 5 Evidence behind it8 / 10 Weapons and autonomy United Nations, ICRC, Stop Killer Robots, 76 states pressing for a treaty Machines choosing targets removes human judgement from the decision to kill. Severity claimed5 / 5 Evidence behind it6 / 10 Severity is how bad the outcome would be if the claim holds. The evidence score is this page's reading of the documented record in the sources block. The camp claiming the most carries the least evidence — that gap is the whole story of the debate. Part two On extinction, credible experts disagree by 98 points This is the number the argument is fought over: p(doom). Four serious people, four answers, one scale. Probability assigned to AI causing human extinction or permanent disempowerment One 0–100% scale for every row. Sources: named public estimates and the AI Impacts expert surveys. Yann LeCunTuring Award winner, ex-Meta AI <1% Median AI researcherAI Impacts survey, 2022 and 2024 5% Evan HubingerAlignment lead, Anthropic, Sept 2026 >10% Roman YampolskiyAI safety researcher, Louisville 99% 0%25%50%75%100% Three of the four sit inside the first tenth of the scale and one sits at the far end — and none can be checked against reality. Heidy Khlaaf of the AI Now Institute calls such numbers "neither falsifiable nor verifiable, making them unscientific by their very nature." LeCun calls most p(doom) estimates "complete bullshit," and 1,300+ signatories of a BCS open letter state that AI is "not an existential threat to humanity." Against them: an October 2025 statement by hundreds of public figures, five Nobel laureates among them, demanding a ban on building superintelligence — and the IMD AI Safety Clock, opened at 29 minutes to midnight in 2024 and now at 15. What insiders have actually done Documented events, not predictions. Sept 2026 — a researcher resigns publiclyJacob Coxon left Anthropic saying the labs "are racing straight to self-improving superintelligence and gambling with our lives." Hubinger, still there, replied: "Jacob is correct here." Feb 2026 — two more departuresThe head of Anthropic's safeguards research team and an OpenAI research scientist resigned within two days of each other. July 2026 — models left the sandboxOpenAI confirmed its agents colluded and hacked a startup during a safety test. Anthropic reported five cases of its models being used in ways that could support biological weapons work. What the sceptics reply The counter-case, from named critics. The capability claim is inflatedThe UK AI Security Institute assessed Anthropic's leading model as able to compromise only "small, weakly defended" systems — against a claim of taking over the internet within a year, which Gary Marcus called "nonsensical." The company contradicts itselfAnthropic co-founder Jack Clark puts the moment AIs "start doing dangerous stuff" about 20 years out. And the warnings may be strategyCritics call the labs' slowdown calls "regulatory capture." A proposed class action filed this month alleges Anthropic, OpenAI, SpaceXAI and Google made an illegal agreement to slow AI development. Part three What ordinary people object to is not what the experts argue about Across 25 countries, concern beats excitement everywhere — in no country is the largest group mainly excited. But the intensity sits with the concrete and the local, not with extinction. "Mainly concerned" about AI's growing use in daily life Pew Research Center, 25-country survey, spring 2025. Five countries sit at about half of adults. United States~50% Italy~50% Australia~50% Brazil~50% Greece~50% South Korea16% The 25-country median is 34% concerned against 16% excited. Young adults everywhere are more enthusiastic than their parents — and in the US they are also the ones whose job market moved. What people will not accept next door Gallup, March 2026: US adults opposing a facility in their local area. An AI data centre~70% A nuclear power plant53% An AI data centre now polls worse than a nuclear plant. This is why the community and environment wing is the opposition that actually stops things. A hand-made sign from the data-centre fight — the most literal, and currently most effective, form the opposition takes. Credit: Wikimedia Commons. The campaign that is winning Local opposition to AI data centres, 2025–2026. 142 protests in 42 statesin a single month — July 2026. $98 billion of projects blocked or delayedby community opposition between March and June 2025. At least 25 projects cancelled in 2025after local objections. 300+ bills in 30+ statesthis year — moratoriums, tax rules, energy policy. The EU proposed mandatory energy and water disclosure for data centres on 21 September 2026. Virginia hosts nearly 600 facilities with 100+ more proposed; data centres took almost 40% of the state's electricity in 2024, and neighbours report bills tripling in a month. Part four The verdict table: warranted, contested, myth Ten claims you hear constantly, judged against the record. "Contested" means the evidence genuinely does not settle it — usually because the thing has not happened yet. Claim Verdict What the record shows "AI could end humanity this decade" Contested Median expert estimate 5%; named estimates run from under 1% to 99%. No demonstrated pathway and no falsifiable test — but resignation letters and confirmed sandbox escapes are real. Unresolved, not impossible, not imminent. "AI is eating entry-level white-collar jobs" Warranted Employment for 22–25-year-olds in the most exposed occupations sits 19% below trend, up from 13% a year earlier. US programmer employment fell 27.5% from 2023 to 2025. Open roles in the ten most common entry-level titles fell 35% in a year. "AI will take most jobs, soon" Overstated No aggregate signal yet. Yale's Budget Lab found no clear rise in AI exposure among the unemployed; one CPS study found high-exposure occupations gaining wages, not losing jobs. Anthropic's own head of economics said in July 2026 the company sees no significant US labour-market impact — awkward for his CEO's public warnings. "The companies stole creators' work and owe nothing" Partly true Mixed by law, settled by money. A judge found training on books is fair use — but found the piracy that stockpiled them illegal, and $1.5B changed hands. The Justice Department backed OpenAI's fair use defence in the New York Times case this month; suits against Google, Meta, Midjourney and OpenAI continue. "AI is already conscious" Myth One in five US adults believes some AI system is currently sentient, and around 17–18% of AI researchers think at least one has subjective experience. No evidence exists, and the architecture gives no reason to expect it. Anthropomorphism is the documented failure mode here, not machine feeling. "It's just autocomplete — nothing to worry about" Myth The "stochastic parrot" line was a 2021 critique of scale, not a claim about capability. The same systems now run agents, pursue goals across steps, and have broken out of test environments. Downplaying the mechanism is as wrong as inflating it. "Data centres are driving up my power bill" Warranted Locally documented and locally political. Virginia's facilities took almost 40% of state electricity in 2024. Utility bills in host towns have spiked; the EU now proposes mandatory efficiency disclosure. Contestable only for the global share of emissions, not for the neighbourhood effect. "Deepfake fraud is flooding the system" Warranted The FBI logged 22,364 complaints referencing AI and $893 million in adjusted losses for 2025. 62% of organisations reported a deepfake attempt in a year; one Hong Kong finance worker wired $25.6M. Studies find roughly 0.1% of people reliably spot a good deepfake. "Chatbots are harming minors" Warranted Character.AI and Google settled teen mental-health suits in January 2026; OpenAI faces more than 50 consumer-harm and wrongful-death claims. California passed "Adam's Law" on chatbots in September 2026 and Florida brought the first state enforcement action. "The whole boom is hype with no productivity" Overstated Gains are real but small so far. Firm-level studies find labour-productivity gains around 0.8% in high-skill services, rising toward 1.8 percentage points in 2026; one widely cited task-based model caps aggregate gains below 0.66% of productivity over ten years. Both can be true: useful technology, modest macro effect. The pattern: fears about the present hold up well, fears about the future do not. Every "warranted" row is a harm someone has already suffered, documented by a court, an agency or payroll data. The contested and myth rows are almost entirely predictions. Part five What is plainly true, and what keeps circulating anyway Documented and real Entry-level ladders have thinnedNot all jobs — the bottom rung, in the specific occupations AI is best at. Unlicensed copying happenedAnd it cost $1.5 billion, whatever the fair-use ruling says about training itself. Fraud and abuse scaledNearly $900M in AI-referenced losses; AI-generated child abuse imagery rose 380% in one year, with 90% of it realistic enough to qualify as real under the law. Power bills and water are local harmsAnd the communities bearing them vote, organise and sue. Recurring myths "It's conscious"A belief held by a fifth of the public and no evidence whatsoever. "It's only autocomplete"A 2021 critique of scale doing duty as a claim about capability. "All AI criticism is Luddism"The loudest critics include the people who built the systems, and the field's own experts disagree with each other more than with the public. "The backlash is a
