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The New York City mayor argues that companies disclose too little about AI’s societal costs, connecting his economic concerns to the debate over data center construction.
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In a WIRED interview released November 3, 2026, New York City Mayor Zohran Mamdani said he sees AI as potentially being in a bubble and answered yes when asked whether it could pop, without offering a timeline or estimate of losses. He argued that limited company disclosure prevents the public from judging AI’s costs and incentives. The dispute he highlighted is whether AI firms can be trusted to assess their own impacts or whether adoption and its consequences need outside scrutiny.
WIRED described Mamdani as supporting a one-year pause on New York State data-center construction; he did not specify what should follow it.
He said opacity makes it almost impossible to assess the societal cost of an individual query and confirmed energy use was part of his concern.
Mamdani compared calls for trust in AI companies with Facebook’s argument for self-regulation in 2008.
New York City Mayor Zohran Mamdani sees echoes of the housing bubble in the AI economy—and worries about a crash. In a WIRED interview released November 3, 2026, he linked that concern to a broader objection: powerful AI companies disclose too little for the public to judge the technology’s societal costs.
The discussion began with data centers. WIRED’s interviewer described Mamdani as having supported a one-year pause on construction in New York State, then asked what should follow it. Mamdani answered by calling for recognition of the costs that come with AI, rather than laying out a specific next step for construction.
His complaint was about the information needed to make that judgment. He argued that company opacity is deliberate and makes it almost impossible to assess what an individual AI query costs society. When the interviewer asked whether he meant missing information about energy use, he confirmed that was his concern.
Mamdani also challenged how the industry presents the technology. He accused companies of encouraging people to see AI as mythical or divine—something too complicated for outsiders to understand. In his account, that framing asks the public to substitute trust in AI’s creators for an informed assessment.
He compared that appeal for trust with what he characterized as Facebook’s argument for self-regulation in 2008. His proposed response was to examine both the scale of AI adoption and the incentives driving it, rather than leave oversight to the companies developing the technology.
The housing-bubble comparison followed that argument. Asked separately whether he worried AI was in a bubble and whether that bubble would pop, Mamdani answered yes to both. These were statements of concern, not a forecast with a timetable or an estimate of potential losses.
The exchange ended with a more personal test of that trust. Asked whether he trusted “the Sam Altmans of the world,” Mamdani said no. His answer made explicit the skepticism running through his remarks: he does not accept industry leadership as sufficient assurance about AI’s economic and societal consequences.
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