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

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

Developing story first seen 3 hours ago

The Verge · 3 hours ago

Bill Gates has published a lengthy essay explaining why he has broken his recent silence on artificial intelligence, revealing that part of his reticence stemmed from his past association with Jeffrey Epstein, which he has called a "huge mistake." The Microsoft co-founder, once an optimistic voice on AI, now says he is deeply pessimistic about the technology's trajectory, warning in the nearly 6,000-word piece, titled "The turbulent AI era is here," that the world is unprepared for the disruption ahead and that "we are not preparing for it."

Gates predicts widespread and permanent job losses across both white-collar and blue-collar sectors and proposes taxing AI tokens and robots to discourage firms from replacing staff, alongside reserving certain "Human Reserved" jobs exclusively for people. He also argues that national and international institutions are inadequate to manage AI's cross-cutting risks, calling for new government bodies and an unprecedented global organisation, potentially modelled on nuclear or aviation agreements, requiring cooperation between the US and China. Despite the bleak tone, a marked shift from his optimistic 2023 essay, Gates insists it is not too late "to ensure that the good outweighs the bad."

  • Gates cites past Epstein ties as one reason he stayed quiet on AI
  • Predicts mass, permanent job losses; proposes taxing AI and robots
  • Calls for new global institution to govern AI risks, urging urgent action

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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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