NVIDIA Hopper data-centre GPU chip, the AI hardware at the centre of data centre ballot measures debates.

Voters Curb Data Centres as Nvidia’s Huang Quits, Leaving AI on Back Foot

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Written by Seth Sebastian

2026-11-13

Until recently, the AI industry looked impossible to slow down. New models arrived every week, funding rounds reached into the billions, and data centres kept spreading across the map. People who objected were often told to accept it. Few expected data centre ballot measures to matter, but that mood has shifted.

Two stories broke within weeks of each other. Voters delivered a clear message on AI infrastructure at the ballot box. Nvidia, the chipmaker at the heart of that infrastructure, was drawn into an espionage scandal that ended with its chief executive’s resignation. Neither story alone signals the end of AI. Together, they point to a real shift, and that matters for creatives whose work and livelihoods are being reshaped by the technology.

Rows of data centre server racks with indicator lights inside a large computing facility.
(Image credit: NVIDIA)

Voters push back with data centre ballot measures

Much of the coverage of the US midterms centred on the battle for Congress. Local data centre ballot measures told a different story. In 10 states, 40 of the 41 local data centre measures decided on 3 November leaned toward restricting development.

Voters approved 27 restrictive data centre ballot measures and turned down all 13 proposals that would have cleared the way for projects. The restrictions took three forms: temporary data centre moratoriums, zoning rules that limit where facilities can be built, and outright bans.

Candidates who ran on halting data centre construction also won. Governor’s races in Texas, Ohio and Georgia went to candidates who had campaigned on that platform.

An NBC News exit poll found that 76 percent of voters would oppose a new data centre in their own community. That figure helps explain why data centre ballot measures passed so easily. Local opposition is not a fringe position.

The backlash does not follow party lines. Democrats, Republicans and independents have all pushed back against the AI industry.

Nvidia’s espionage scandal and Huang’s resignation

The timing could hardly have been worse for Nvidia. On 6 November, The New York Times reported that chief executive Jensen Huang had been the target of an alleged espionage operation. The operation involved a Chinese businesswoman whom US officials believe worked for China’s Ministry of State Security.

On Sunday, Huang admitted to an extramarital affair with the woman and apologised to staff. He said he had no idea she was a spy. Beijing has called the claims groundless.

Nvidia’s board opened an inquiry and said it still had confidence in him. Then came reports of a second affair, and the pressure became too great. Huang resigned on 12 November. The episode also coincided with a drop in Nvidia’s share price.

This looks like a turning point. Until recently, the AI industry rested on two assumptions: that its physical expansion was inevitable, and that its leaders stood above scrutiny. Both assumptions have now taken a hit.

Jensen Huang, NVIDIA's chief executive, speaking at a company event.
Jensen Huang (Image credit: NVIDIA)

What it means for creatives

The AI boom is not about to collapse. But the era of building first and asking questions later appears to be ending. Expect more political resistance, more regulation and closer scrutiny of the companies involved.

For creatives, the effects cut both ways. If you rely on AI tools, their prices could rise. If you worry about job losses or about AI models scraping your work for training, the pace of the technology may slow, at least a little.

For years, many creatives have felt they were shouting into the void. Now voters are making the same case, in measurable numbers. Tom May, the author of The 50 Greatest Designers and Great TED Talks: Creativity, has written about how technology reshapes creative work. His point is simple: the industry can no longer assume the people it affects will stay quiet.

NVIDIA Hopper data-centre GPU chip, the AI hardware at the centre of data centre ballot measures debates.
NVIDIA Hopper is a data-centre GPU architecture designed to accelerate generative AI training, large language model (LLM) inference, and high-performance computing (HPC). (Image credit: Getty Images)

Via creativebloq.com

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