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

A former Google DeepMind researcher has joined growing calls to slow advanced AI development, raising a less dramatic but more immediate question for Alphabet investors: whether safety concerns could eventually change the economics and pace of the AI race.

Warnings about artificial intelligence don’t get much more extreme than this. Bilal Chughtai, a former Google DeepMind research engineer who worked on AGI safety and alignment research, said he believes AI has the potential to “kill us all” and that time may be running out to prevent such an outcome.

For Alphabet Inc. (NASDAQ:GOOG), the important part isn’t whether investors agree with that prediction. There is no way to establish it as fact. What matters is that Chughtai isn’t the only person working close to advanced AI systems who is asking the industry to slow down.

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And that debate is arriving while Alphabet is investing heavily to push AI forward.

Bull Case

Chughtai’s warning shouldn’t be confused with evidence that Google’s AI systems are about to cause the outcome he fears. It is his assessment of a future risk, and Google did not respond to Reuters’ request for comment on his remarks at the time of its reporting.

There is also no indication yet that the warnings are slowing Alphabet’s (NASDAQ:GOOG) AI strategy. The company has spent years building Google DeepMind into its advanced AI research, while AI has become increasingly embedded across Search, Cloud, and its broader product portfolio.

More broadly, slowing American AI development is far from a settled policy direction. Reuters reported that President Trump dismissed warnings surrounding AI safety, calling the AI industry’s call for regulation a “hoax” on social media. That leaves Alphabet, at least for now, able to continue pursuing the technology.

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Bear Case

The more interesting risk isn’t Chughtai’s worst-case scenario, but it is rather what happens if calls like his start changing the rules under which AI companies operate. His warning follows the resignation of Anthropic researcher Jacob Coxon, who said people building AI believe the technology could pose an existential threat by the end of the decade. Anthropic researcher Evan Hubinger subsequently said he believed there was a greater than 10% chance AI could kill all humans within the next decade.

The concern has now reached the executive level. Anthropic CEO Dario Amodei has called for AI companies to slow the pace of advanced model development, arguing for greater coordination and safety measures, and OpenAI CEO Sam Altman and Elon Musk have backed the call. Chughtai made a similar argument. Instead of saying AI development should simply stop, he called for coordination to avoid what he described as a “manic race” among AI companies and said development should proceed at a pace that allows emerging risks to be addressed.

This comes against a backdrop where the AI race is becoming increasingly capital-intensive, and even Alphabet has been pouring money into servers, data centers, and other technical infrastructure to meet demand for AI and Cloud products. If the growing safety debate eventually leads companies or governments to change how advanced models are developed, tested, or deployed, the industry’s development cycle could look different from the race investors have watched so far.

None of that has happened to Alphabet as a result of Chughtai’s warning. But the growing number of researchers and executives calling for restraint makes the debate harder to dismiss as a fringe concern.

Conclusion

Investors don’t need to decide whether AI could eventually destroy humanity to see why this story matters. Chughtai’s comments are one person’s assessment, not a forecast investors can model. But they have arrived alongside similar warnings from researchers at Anthropic and a public call from one of the industry’s most prominent CEOs to slow advanced AI development.

Alphabet, meanwhile, remains deeply committed to AI, and that creates a tension worth watching. The companies competing hardest to advance AI are spending heavily on the assumption that increasingly capable systems will create enormous economic value. If the people building those systems increasingly argue that development needs stronger safeguards or a slower pace, the debate could eventually affect how quickly that investment turns into new products and revenue.

For Alphabet shareholders, that is the part of the AI safety debate that belongs in the investment thesis.

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This article is originally published at Insider Monkey.