Last week, Governor Gavin Newsom moved to accelerate development of an AI “kill switch,” signaling that California intends to shape the technology’s guardrails rather than wait for Washington.¹

He followed that step by signing seven bills targeting the physical footprint of the AI boom: the electricity, water and local infrastructure needed to run data centers. The package requires the California Public Utilities Commission to create a new rate classification for data centers and directs facilities to pay for upgrades to nearby power grids and water systems, rather than leaving residents exposed to the bill.¹

The new laws also put disclosure at the center of the approval process. Proposed data centers must tell local governments their expected water use, energy-efficiency plans and drought preparations. They must meet specified energy, water and fuel-consumption standards before receiving streamlined approval.¹

Newsom cast the measures as a direct rebuttal to a federal deregulatory approach. “While the Trump administration moves toward deregulation, communities are left to deal with the consequences — higher electricity demand, grid constraints, water use, and pollution,” he said. “With these laws, we are ensuring that Californians remain in the driver’s seat — and that those profiting from data centers aren’t doing so at our expense.”¹

Not everyone sees data centers as an issue deserving top political billing. David Sacks amplified a post citing a Politico poll that ranked AI and data centers ninth among California voters’ concerns; even AI pessimists, the post said, placed the issue seventh, behind cost of living, housing, the wealth gap and democracy. The message was blunt: campaign advisers elevating the issue “need to touch grass.”David Sacks (DavidSacks)²

That leaves California’s new rules at an uneasy intersection: a state government preparing for the infrastructure costs of AI expansion, and a political critique that those costs may still be far from voters’ most immediate worries.