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EN WIRE · 2026-09-27 21:02

Anthropic Loses Researchers, and Google Has Now Seen Resignations Too

Mostly True

Anthropic Loses Researchers, and Google Has Now Seen Resignations Too
Image source: 조사 출처

Following resignations at Anthropic, Google has also seen researchers step down, extending a wave of departures among researchers at leading AI developers. The pattern — resignations at Anthropic followed by similar moves at Google — is judged to be largely accurate, though the full circumstances behind the individual exits remain unclear.

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Anthropic Departures Come First

The sequence of events began at Anthropic, where researchers handed in their resignations before similar moves appeared at Google. Anthropic, the AI safety-focused developer behind the Claude family of models, has been among the most closely watched companies in the field, making staff departures there notable within the industry.

Google Follows with Its Own Resignations

The trend then extended to Google, which has also seen researchers resign. Google remains one of the largest players in AI research, and any loss of research staff draws attention given its central role in the development of large-scale AI systems.

Details on the exact number of departing researchers at each company, their roles, and their stated reasons for leaving were not established in the reviewed reporting. It is also not confirmed whether the departures at the two companies are directly connected, such as researchers moving from one company to the other, or whether they reflect independent decisions.

Why It Matters

Resignations among AI researchers are closely tracked because talent is a key competitive factor in the AI sector, where competition for skilled staff among major developers remains intense. While the headline fact — Anthropic first, then Google — holds, the broader significance of the exits depends on details that remain unconfirmed.

Taken together, the core claim that researcher resignations occurred at Anthropic and subsequently at Google matches the available evidence, though uncertainties around the scale and circumstances temper a fully positive assessment, making the overall finding Mostly True.

Sources — primary documents (12)
  1. https://robert.ocallahan.org/2026/09/goodbye-google.html
  2. https://web.archive.org/web/20260927022134/https://robert.ocallahan.org/2026/09/goodbye-google.html
  3. https://x.com/rocallahan/status/2103368176369324093
  4. https://the-decoder.com/another-google-deepmind-researcher-quits-says-building-superintelligent-ai-soon-is-inherently-irresponsible/
  5. https://x.com/hilbertspaess/status/2097476196791709843
  6. https://techcrunch.com/2026/09/09/gambling-with-our-lives-anthropic-researcher-quits-warns-against-self-improving-ai/
  7. https://time.com/article/2026/09/09/ai-anthropic-openai-jacob-coxon/
  8. https://robert.ocallahan.org/2026/07/pacing-the-frontier.html
  9. https://www.theverge.com/ai-artificial-intelligence/1000769/…
  10. https://biz.chosun.com/resizer/v2/J7KCKBLPFFEFPIGCXIOHKHBJ2U.png?auth=53d86c3f874cfbb687c149ed7c7b14c36c22f4f85896afcbc51ea0f9691548eb&width=557&height=592&smart=true
  11. https://lh3.googleusercontent.com/iwujMzcYDEiT27jBIMGJp2u4369ypOm2MZmw3_Ik7MOzXcKIpl1FMrEFYRuDjL99W1oyd8IXK8zEx1LTpdZwV3kEgL2x1Iz5T1BJIC_3T46lpIVY9A=w1200-h630-n-nu-rw
  12. https://www-cdn.anthropic.com/images/4zrzovbb/website/6d4a0d28992ade92d6fa63646fd9c9d318245c6c-2400x1260.jpg

KR: /news/20260927-3b8aa4 · 판정: 대체로 사실