Anthropic Pledges $50 Billion for U.S. AI Data Centers in Texas and New York, With First Sites Coming Online in 2026

12 November 2025

Anthropic says it will invest $50 billion to build a network of U.S. AI data centers. ^[1]
The first projects are planned in Texas and New York, developed with Fluidstack, and slated to begin coming online through 2026. ^[2]
The build‑out marks Anthropic’s first major direct data‑center program after relying largely on cloud partners. ^[3]
The company’s newsroom adds estimates of ~800 permanent and ~2,400 construction jobs across sites. ^[4]
In parallel, Anthropic has a separate plan to access up to one million Google Cloud TPUs, bringing well over 1 GW of compute online in 2026. ^[5]

What happened

Anthropic, the AI company behind the Claude family of models, announced a sweeping, multiyear $50 billion investment to build AI‑optimized data centers across the U.S. The move—reported today by Reuters—underscores the scale of compute and infrastructure required for frontier‑model training and enterprise AI workloads. ^[6]

Bloomberg’s coverage specifies that the first wave of sites will be in Texas and New York, developed in partnership with Fluidstack, with phased go‑lives throughout 2026. Bloomberg also notes this is Anthropic’s first major, company‑led build‑out, rather than capacity sourced primarily via hyperscalers. ^[7]

Anthropic’s own newsroom post (dated Nov 13 in the company’s feed) provides additional color: the initial build program targets Texas and New York “with more sites to come,” and is custom‑built around Anthropic’s workloads. The company estimates roughly 800 long‑term jobs and 2,400 construction roles as facilities ramp. ^[8]

The Financial Times also highlights the US‑focused build with Fluidstack as Anthropic races to secure compute for future Claude models. ^[9]

Why it matters

Compute is the new strategic moat. State‑of‑the‑art training now demands orders of magnitude more energy, chips, and cooling than even a year ago. Anthropic’s decision to own part of the stack via dedicated facilities—while still partnering with cloud providers—signals a hybrid strategy to control cost, performance, and availability at the frontier. ^[10]

Texas and New York are emerging AI hubs. Texas offers abundant land and interconnection options; New York brings proximity to dense fiber, talent, and existing power infrastructure. Recent deals show Fluidstack expanding in both states with third parties, pointing to established pipelines and siting know‑how that Anthropic can leverage. ^[11]

This complements—not replaces—cloud capacity. Just weeks ago, Anthropic said it plans to scale on Google Cloud to up to one million TPUs and well over 1 GW of compute in 2026, while maintaining a multi‑chip strategy (Google TPUs, AWS Trainium, and NVIDIA GPUs). Today’s direct build program sits alongside those cloud commitments. ^[12]

What Anthropic is saying

“Realizing [AI’s] potential requires infrastructure that can support continued development at the frontier,” CEO Dario Amodei said, emphasizing purpose‑built sites to power research and enterprise demand. The company describes the campuses as custom to its workloads and focused on efficiency, with more locations to be named. ^[13]

Jobs and local impact

Anthropic’s newsroom estimates ~800 operational roles and ~2,400 construction jobs across the projects, with staggered openings beginning in 2026. Local economic‑development agencies typically weigh these projects for tax incentives, grid interconnections, water use, and workforce pipelines; those specifics were not immediately disclosed in today’s reporting. ^[14]

Competitive backdrop

The build‑out is part of a broader race to secure compute capacity among leading AI labs. While Anthropic is adding dedicated U.S. data centers with a specialist partner, it is simultaneously expanding cloud‑based compute with Google Cloud TPUs and continuing its long‑standing relationship with Amazon as a primary cloud provider—an approach designed to diversify chip supply and deployment options. ^[15]

What to watch next

Permitting & power: Siting in Texas and New York will require timely interconnections and power‑procurement strategies amid a tight national grid. Details on megawatt scale, energy mix, and cooling will be key milestones. (Context on Fluidstack’s recent U.S. campus expansions suggests multi‑hundred‑MW ambitions.)
Supply chains: Delivery timelines for GPUs/TPUs, power equipment, and specialized cooling will influence the 2026 start dates. ^[16]
Customer ramp: Anthropic says it now serves 300,000+ business customers; how quickly those workloads migrate onto the new sites will determine utilization and ROI. ^[17]

The bottom line

Anthropic’s $50 billion commitment signals that top AI labs are moving beyond “renting” compute at the margins and into owning core infrastructure—all while keeping cloud partnerships central. If the company can hit its 2026 activation targets in Texas and New York, it will add another high‑capacity on‑shore pillar to the U.S. AI stack just as the next generation of Claude models comes into view. ^[18]

Sources

Reuters: Anthropic to invest $50 billion to build data centers in the U.S. (Nov 12, 2025). ^[19]
Bloomberg Law: Anthropic commits $50 billion to build AI data centers in the U.S.; first sites in Texas and New York; 2026 timeline; first major direct build‑out. ^[20]
Anthropic newsroom: “Anthropic invests $50 billion in American AI infrastructure” (jobs, locations, timing, partner). ^[21]
Anthropic newsroom: “Expanding our use of Google Cloud TPUs and Services” (up to one million TPUs; >1 GW compute in 2026; multi‑chip strategy). ^[22]
DataCenterDynamics (context on Fluidstack siting/scale in NY & TX). ^[23]

No Nvidia Chips Needed! Amazon’s New AI Data Center For Anthropic Is Truly Massive

Watch this video on YouTube.

References

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Mateusz Kaczmarek Latest posts

A technology and finance expert writing for TS2.tech. He analyzes developments in satellites, telecommunications, and artificial intelligence, with a focus on their impact on global markets. Author of industry reports and market commentary, often cited in tech and business media. Passionate about innovation and the digital economy.

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