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Policy & Regulation2 min read

Ex-Google researcher says AI could kill us all, report says

Bilal Chughtai, a former Google DeepMind research engineer, stated that AI has the potential to "kill us all" and that time may be running out to prevent this outcome. Chughtai, who previously worked on AGI safety and alignment, did not call for a halt to development but urged coordination to avoid a "manic race" among AI companies. He argued that development should proceed at a pace allowing…

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Key points

  • Bilal Chughtai, ex-Google DeepMind, says AI could kill us all and time is running out.
  • Anthropic CEO Dario Amodei, Sam Altman, and Elon Musk back calls to slow AI development.
  • Alphabet continues heavy AI investment despite safety warnings from former employees.

This warning adds to a growing chorus of voices within the AI industry calling for caution. It follows the resignation of Anthropic researcher Jacob Coxon, who cited existential threat concerns, and comments by Anthropic researcher Evan Hubinger, who estimated a greater than 10% chance AI could kill all humans within the next decade. Anthropic CEO Dario Amodei has also called for slowing advanced model development, a stance backed by OpenAI CEO Sam Altman and Elon Musk.

For Alphabet, the immediate impact on its AI strategy appears limited. The company continues to invest heavily in Google DeepMind and has embedded AI across Search, Cloud, and other products. Political headwinds for regulation are also present, as President Trump recently dismissed AI safety warnings as a "hoax." While Chughtai's specific prediction is unverified, the broader debate over safety and pacing is influencing the regulatory landscape in which Alphabet operates.

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Full story from finance.yahoo.com · by Noor Ul Ain Rehman · via Search: GoogleOpen source ↗

An Ex-Google Researcher Says AI Could “Kill Us All.” Should Alphabet Investors Care?

finance.yahoo.com · 28 September 2026

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This text was published by finance.yahoo.com and written by Noor Ul Ain Rehman. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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