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Bill Gates is deeply worried about AI, and he’s no longer staying quiet

Developed over time first seen 2 months ago

The Verge ·

Bill Gates has published a nearly 6,000-word essay warning that artificial intelligence could bring unusually rapid and severe social disruption, marking a sharp shift from his earlier optimism. He argues that the world is unprepared for AI’s effects on employment, inequality and public trust, and calls for governments to act before large-scale job losses take hold. The article says Gates has also linked part of his recent public reticence to his past association with Jeffrey Epstein, which he has called a “huge mistake”.

Gates predicts that AI could permanently eliminate both white-collar and blue-collar jobs, and proposes taxing AI tokens and robots to deter employers from replacing workers and fund social support. He also suggests designating some roles as “Human Reserved”, while urging countries to create bodies able to coordinate AI policy across government and establish a new international organisation for cross-border risks. Although he says cooperation, including between the US and China, is urgent, the article notes that his proposals offer few concrete details on implementation.

  • Gates warns AI may cause permanent, widespread job losses.
  • He proposes taxing AI and reserving some work for humans.
  • He urges new national and global AI governance bodies.

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Bill Gates co-founded Microsoft and has since become one of the world's best-known philanthropists through the Bill & Melinda Gates Foundation. He has followed the rapid rise of artificial intelligence closely, previously voicing optimism about its potential to solve major global problems such as disease and poverty.

His new essay marks a shift in tone, expressing concern about how quickly AI is changing the world of work and society more broadly. The piece also touches on his past ties to the late financier Jeffrey Epstein, which he has previously acknowledged as an error of judgement.

The story matters because Gates remains an influential figure in technology and public policy, and his changed stance adds a prominent voice to the wider debate about how governments, businesses and international bodies should respond to AI's effects on jobs and society.

Both sides, in good faith

The strongest fair case each way — we don't pick a winner.

The case for

Those sympathetic to Gates argue that a technologist who helped build the digital age is uniquely placed to recognise when a new technology's pace of change is outstripping society's capacity to adapt, and that his warnings deserve weight precisely because he was previously an AI optimist. They contend that automation could plausibly hollow out both white-collar and blue-collar work simultaneously, something no past technological shift has done, making pre-emptive measures such as taxing displacement, ring-fencing certain human-only jobs, and building new international oversight bodies a prudent form of insurance rather than alarmism. On this view, existing national regulators and treaties were not designed for a technology that crosses borders and industries so completely, so genuinely new institutions, including US-China cooperation, are a reasonable response to a genuinely novel risk.

The case against

Sceptics argue that dramatic predictions of mass, permanent job losses have accompanied nearly every major technological shift, from mechanisation to computing, and have consistently underestimated humans' ability to adapt and create new forms of work, so Gates's forecasts should be treated with caution rather than as a basis for policy. They contend that taxing AI tokens and robots, or reserving jobs exclusively for humans, risks slowing genuinely beneficial innovation, entrenching inefficiency, and disadvantaging economies that adopt such measures against those that do not. They further question whether a wealthy tech insider with commercial ties to the industry is best placed to design sweeping new global institutions, particularly one requiring deep US-China cooperation, which many view as unrealistic given current geopolitical tensions, and would prefer market adaptation and targeted, evidence-based intervention over speculative, large-scale intervention now.

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