Former Google ethicist warns AI could trigger global job market collapse by 2027

Reviewed byNidhi Govil

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Tristan Harris, former Google ethicist, warns that unchecked AI development could devastate the global job market by 2027. MIT research shows AI systems can already automate tasks for over 20 million American workers, while 71% of Americans fear AI leading to permanent job losses. The warning comes as tech companies race toward artificial general intelligence with minimal regulation.

Former Google Ethicist Sounds Alarm on AI's Impact on Jobs

Tristan Harris, a former Google ethicist and prominent AI expert, has issued a stark warning about the trajectory of artificial intelligence development. Speaking on The Diary of a CEO podcast, Harris cautioned that the rush toward artificial general intelligence (AGI) could trigger a job market collapse by 2027 if left unchecked

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. Tech companies including Anthropic and Tesla are racing to develop AGI—technology that matches or exceeds human cognitive abilities—with industry leaders like Dario Amodei and Elon Musk predicting its arrival as early as this year.

Source: Fortune

Source: Fortune

Harris argued that unchecked AI development creates harmful competitive incentives that prioritize speed over safety. "It's a kind of competitive logic that self-reinforces itself," he explained, noting that this dynamic "forces everyone to be incentivized to take the most shortcuts, to care the least about safety or security, to not care about how many jobs get disrupted"

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. His concerns center on how tech companies are deploying AI systems with minimal oversight, potentially creating catastrophic economic consequences for workers.

Research Shows AI Can Automate Tasks for Millions of Workers

The scale of potential job displacement is substantial. MIT researchers recently calculated that today's AI systems could already automate tasks performed by more than 20 million American workers, representing approximately 11.7 percent of the entire labor force

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. This widespread anxiety about AI's impact has manifested in concrete ways across the workforce. A Reuters and Ipsos poll conducted in August revealed that 71 percent of American respondents are concerned that AI leading to permanent job losses will put "too many people out of work permanently"

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Early data confirms these fears are not unfounded. A Stanford University study evaluating payroll data showed AI is causing a 13% decline in jobs for early-career workers

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. The rapid AI implementation has contributed to approximately 55,000 layoffs in 2025, according to outplacement firm Challenger, Gray, and Christmas. Major corporations have already begun cutting positions to make way for automation, with Microsoft slashing 9,000 jobs and Salesforce eliminating 4,000 customer service jobs, both citing AI integration as the primary driver

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Source: Futurism

Source: Futurism

AI Replacement Compared to Trade Agreements

Harris drew a provocative comparison between AI and historical trade policies, describing the technology as "NAFTA 2.0." He explained that "instead of China appearing on the world stage who will do the manufacturing labor for cheap, suddenly this country of geniuses in a data center created by AI appears on the world stage, and it will do all of the cognitive labor in the economy for less than minimum wage"

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. This analogy underscores his view that AI represents a more profound threat than immigration concerns, noting that advanced AI creates "a flood of millions of new digital immigrants that are Nobel Prize-level capability, work at superhuman speed, and will work for less than minimum wage."

The economic implications extend beyond individual job cuts. In January 2026, the total number of job cuts exceeded even 2009 levels, when the country was still recovering from the Great Recession

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. Workers now face the grim reality of being hired to train AI systems meant to permanently eliminate their own positions, highlighting the immediate and tangible nature of AI replacement concerns.

Regulation Debate Intensifies Amid Growing Concerns

The regulatory landscape remains fragmented and uncertain. President Donald Trump rolled back Biden-era AI regulations on the first day of his second term, removing protections aimed at ensuring safe implementation and supporting workers facing job disruptions

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. In December, Trump signed an executive order preempting state-level regulation of the technology, arguing that diverse state laws could "stymie innovation." Despite this federal stance, 26 states have enacted some degree of AI legislation, with New York and California proposing stringent requirements around safety and data-use transparency, according to law firm Bryan Cave Leighton Paisner

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Harris warned that swift regulation is critical because as AI takes over more roles, human political power could diminish as human workers become less economically valuable. "This is the last moment that human political power will matter," he cautioned, raising concerns about a future where economic well-being depends almost entirely on AI companies rather than human labor

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Growing Movement Against Superintelligence Development

The anxiety surrounding AI has sparked an unprecedented coalition calling for action. A petition demanding a "prohibition" on the development of superintelligence has gathered nearly 135,000 signatures, including endorsements from tech luminaries like Geoffrey Hinton and Steve Wozniak, conservative commentators like Steve Bannon and Glenn Beck, and national security operatives like Mike Mullen and Susan Rice

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. Even Prince Harry signed, stating: "The future of AI should serve humanity, not replace it. The true test of progress will be not how fast we move, but how wisely we steer."

Bannon explained his unusual alliance with Democratic lawmakers on this issue, telling the Atlantic: "We're in a situation where people on the spectrum that are not, quite frankly, total adults... are making decisions for the species. Not for the country. For the species. Once we hit this inflection point, there's no coming back"

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. This bipartisan concern reflects the gravity of the situation facing the workforce and broader society as tech companies continue their pursuit of increasingly capable AI systems without comprehensive oversight.

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