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Fortune | FORTUNE

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Communities are blocking billions in data centers. Big Tech has wagered $1 trillion otherwise | Fortune
Nick Lichten · 2026-05-19 · via Fortune | FORTUNE

The town of Saline, Michigan, didn’t want a $16 billion data center in its backyard. Residents voted against it. Weeks later, as Fortune‘s Sharon Goldman reported, construction began anyway.

That dynamic — community opposition steamrolled by corporate momentum — is playing out across America at accelerating speed. At least 48 data center projects representing $156 billion in investment were blocked or stalled by local opposition in 2025 alone, according to Miquel Vila, a supply chain and political risk analyst at 10a Labs who maintains the Data Center Watch initiative.  

Project cancellations jumped from six in 2024 to 25 in 2025, and in the first quarter of 2026, more than 20 additional projects were killed — a record quarterly pace. There are now 188 local opposition groups operating across 40 states.

And yet Big Tech isn’t slowing down. It’s accelerating.

On May 11, Moody’s Ratings raised its capital spending projections for the top six U.S. hyperscalers — Microsoft, Amazon Web Services, Meta, Alphabet, Oracle, and CoreWeave — to $785 billion for 2026 and nearly $1 trillion for 2027. The revision came after a blowout first quarter in which Google Cloud revenue grew 63%, AWS posted its fastest growth in 15 quarters, and Microsoft’s AI revenue surpassed $37 billion at a 123% year-over-year clip.

The companies funding this buildout aren’t doing it on faith. The three largest hyperscalers added roughly $700 billion in contracted revenue backlogs over just two quarters, with AI model companies like OpenAI and Anthropic so compute-starved they cannot meet existing demand. From the hyperscalers’ perspective, the economic logic is simple: the customers are there, the money is committed, and a blocked permit in rural Virginia is a routing problem, not a stop sign.

But the financial exposure underneath that confidence is substantial. Since September 2025, investment-grade hyperscalers have issued around $240 billion in debt to fund their buildout. Their three largest players carry $209 billion in operating and finance lease obligations, with an additional $379 billion in leases yet to commence — contracts that assume specific sites get built, on specific timelines.

The communities pushing back aren’t doing so on aesthetic grounds alone. Their grievances are concrete: surging local electricity demand, water consumption at industrial scale, noise, strained infrastructure, and generous tax breaks that shift the cost of all of the above onto residents. Opposition has proven to be strikingly bipartisan — a recent Gallup survey found 71% of Americans would oppose a data center in their community, a higher disapproval rate than for nuclear plants or gas facilities. Milwaukee-based comedian Charlie Berens shot a one-liner at a recent town hall: “the most bipartisan issue since beer.”

State legislators are beginning to respond. Construction moratoriums have been proposed in more than a dozen states. In Maine, a bill that would block new builds over 20 megawatts until late 2027 sits on the governor’s desk. Prince George’s County in Maryland has already enacted a full pause on data center development.

For now, hyperscalers can absorb the friction. Blocked projects represent somewhere between 8% and 20% of a single year’s capex — significant, but not structural. Moody’s identifies semiconductor shortages, not local opposition, as the more acute near-term constraint: DRAM and NAND prices are forecast to rise more than 50% in the first quarter of 2026, with data centers poised to consume nearly half of global memory supply.

But the trajectory of the opposition — doubling in organized groups, quadrupling in annual cancellations, wary state legislatures — suggests the math could shift. Big Tech has wagered $1 trillion on a buildout that depends on communities saying yes. Increasingly, they’re saying no.

For this story, Fortune journalists used generative AI as a research tool. An editor verified the accuracy of the information before publishing.