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Inside Amazon's Indiana data center complex: built for Anthropic with plans for ~30 centers, consuming 2.2GW of power and millions of gallons of water per year

On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up. Forums: r/environment Forums: r/environment : Amazons new data center will use as much energy as a million homes, powered by fossil fuels

New York Times

Context & Ripple Effects

Amazon’s Indiana buildout makes the AI-compute partnership with Anthropic tangible at infrastructure scale: a roughly 30-facility campus on 1,200 acres, rather than a conventional incremental data-center expansion.

The project arrives as coverage was already flagging AI-driven data-center electricity demand as a system-level issue. It also gives concrete stakes to reports that Amazon sought to pair further Anthropic backing with use of Amazon-designed server chips.

First-order effects

  • Amazon and Anthropic gain a dedicated, exceptionally large computing site, while Indiana’s power and water systems must accommodate a 2.2GW load and annual water use measured in millions of gallons.
  • The scale concentrates execution risk for the partners in one deployment: timely power, water, and construction capacity become prerequisites for the computing capacity the complex is meant to supply.

Second-order effects

  • A load of this size can put local electricity and water availability at the center of siting and operating decisions, increasing scrutiny of how expansion affects other users of those systems.
  • The buildout raises the value of Amazon’s ability to supply AI infrastructure end to end—data centers and chips—while competing AI providers must secure similarly durable access to physical capacity rather than compute alone.

Third-order effects

  • If projects of this scale proliferate, AI infrastructure will increasingly be planned like utility infrastructure: long-lived, location-constrained, and dependent on power and water systems as much as on hardware.
  • The likely industry shift is from buying compute opportunistically to reserving it through deep cloud-provider partnerships, though the pace will depend on whether local resource and construction constraints can be resolved.

The trend: Frontier-AI competition is becoming a contest to lock in large, long-duration power, water, land, and computing capacity.

Discussion

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    Amazons new data center will use as much energy as a million homes, powered by fossil fuels