One safety story a week, pressure-tested for what's actually happening underneath the surface.

By Lindsay Gross

On November 3, voters in ten states decided 41 local ballot measures about data centers. By the next afternoon, CNBC's count had voters siding against data centers in every one except a single measure in Harwood, North Dakota. In Ashville, Ohio, more than 81% voted no on keeping the village's deal with EdgeConneX for two data centers. Within days, OpenAI's answer included a new name for the buildings.

The headline version is that Americans rejected AI at the ballot box. Let’s stress-test the headline.

Start with what voters say they're worried about. Gallup's first national poll on the question found 71% of adults oppose an AI data center in their area, more than the 53% who oppose a nuclear plant nearby. When opponents explained why, about half pointed to resource use, with water and energy each named by 18%, and roughly one in five cited costs like higher utility bills. Almost none of it was about what the models do. Those are the objections people bring to a highway or a warehouse.

Then look at where the pushback was loudest. In Boyce, Louisiana, residents learned a $3.6 billion data center was coming after the deal was nearly done, because state and local officials had signed nondisclosure agreements with the developer, NPR reported. "The information should have been available before decisions were made, not after," resident Shannon McManus told NPR. I came into AI through trust and safety, and people lose trust in a system well before they can name what's wrong with it. For a lot of towns, the data center was the first part of AI they were allowed to see.

And it wasn't one party's fight. Campaigns and outside groups spent $173 million on data center ads in the general election, according to AdImpact data reported by Axios, and $28 million of it came from Republicans. In Wisconsin, the Republican nominee for governor ran ads calling his opponent "data center David Crowley."

So the election wasn't much of a referendum on AI. It was a referendum on the one piece of AI that has an address, a zoning board, and a line on the electric bill.

That's what makes the industry's response worth watching. OpenAI's new commitments include limiting NDAs with public officials and covering electricity costs for future data centers it owns and operates, which go straight at what Boyce and Gallup's respondents complained about. The same week, a spokesperson confirmed to Business Insider that the company wants people to call them "compute campuses." A new name doesn't change the megawatts, and making the most visible part of AI harder to name is a strange lesson to take from an election about finding out too late.

The thing to track is whether the NDA promise shows up in actual contracts. The bigger gap is that most of AI doesn't come with a public hearing. In most elections, AI isn't on the ballot at all. This time it was, in the one form local voters could act on, and the harder work is building that same visibility for the parts that don't have an address.

The longer version, including the Louisiana town that found out about its data center after the NDAs were signed, what OpenAI’s new commitments actually cover, and what a local ban can’t reach, is on Hidden Layer this week:

Join AI Camp for two Bay Area AI Dev Nights with AWS and Anthropic: Sunnyvale on November 10 at Plug and Play, and San Francisco on November 12 at the AWS Loft. Experts from AWS, Anthropic, Grafana, Supabase, Miggo, Caylent, Temporal, and LaunchPad will show how to build production-ready agentic AI systems from code to deployment.

Expect technical deep dives and Q&A, live demos and expo booths with real-world use cases, plus networking and a lucky draw with gift cards, an iPad, AirPods, and more.

If today's stories caught your eye, join us live at 9 AM PT on The AI Collective Podcast. AJ Green and Catherine McMillan interview Paige Bailey, Developer Relations Engineering Lead at Google DeepMind (9:15 AM PT), on building with frontier models including Gemini 4 Argon, then Sallie Jian, Investment Partner at Alumni Ventures (9:45 AM PT), on getting enterprise AI into the Fortune 5000.

Here are a few moments from week three of The AI Collective Podcast. On Monday, Stefan Weitz, Co-Founder and CEO of HumanX, talked about where enterprise AI is headed and lessons learned from keynotes with the brightest leaders in the space, and Ajay Bam of Vyrill walked through AI that turns product reviews and shopping videos into searchable insights for brands, including TikTok Shop merchants. On Tuesday, Vinit Bhansali of Atrium covered what investors want on a GTM slide, with Keshia Theobald-van Gent of BDev Ventures and Sarah Romanko of Geek Ventures doing live startup evaluations for the YC F26 batch.

On Wednesday, Matt White of the Open Intelligence Foundation talked open-source AI and policy. Nicolas Loeff, CTO and Co-Founder of Zapia AI, joined on agentic commerce and a personal AI assistant his company says reaches more than 5 million people across Latin America and Europe. Thursday featured Sinan Ozdemir of Fireworks AI on open models, and Jason Moccia of OneSpring on taking a design agency into AI consulting. The show is live every weekday at 9 AM PT. Follow The AI Collective on LinkedIn to catch the next episode live, or watch replays on LinkedIn and YouTube.

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