The AI boom's biggest jobs story isn't in Silicon Valley. It's in Pecos, Texas.

Chevron and Microsoft are partnering on Project Kilby, a first-of-its-kind development pairing a Microsoft AI data center campus with a dedicated natural gas power facility built by Chevron subsidiary Energy Forge One. The 20-year power agreement will scale to roughly 2.67 gigawatts, enough electricity for about two million homes, with first power targeted for 2028.

The workforce math is striking: Microsoft expects the campus to support more than 6,000 construction jobs at peak build-out, plus hundreds of permanent operations roles once online. Chevron estimates the development could contribute more than $10 billion in state and local tax revenue while supporting nearly 2,000 jobs on the energy side.

The hyperscalers are no longer just buying power. They are funding the workforce that builds it.

A New Partnership Model

Project Kilby is part of a wave of energy and hyperscaler deals rewriting how big loads get built. Rather than waiting in interconnection queues, tech companies are contracting directly with energy producers for dedicated generation, and increasingly paying for the grid upgrades themselves. In March, seven major AI companies (Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI) signed the Ratepayer Protection Pledge, committing to directly fund grid infrastructure improvements tied to their growth.

The Trades Pipeline

The partnerships extend to the people, not just the powerplants. Google is backing an effort with the electrical training ALLIANCE, the training arm of the IBEW and NECA, to train 100,000 electrical workers and 30,000 new apprentices, aiming to grow the electrical workforce pipeline by 70% within five years. With industry estimates pointing to a need for well over 100,000 additional electricians by 2030, an IBEW apprenticeship has become one of the most direct routes into the AI economy. No computer science degree required.

A Reality Check

Worth knowing: data centers themselves run lean once built. Researchers at Brookings note large facilities can operate with as few as 20 to 30 permanent staff per 100 megawatts. The durable jobs story is in construction, skilled trades, and the upstream energy and manufacturing supply chain. That's exactly where workers should aim.

The Bottom Line

Every gigawatt of AI demand needs generation, transmission, substations, and thousands of tradespeople to build them. The hyperscaler era is minting energy careers in West Texas and everywhere the grid grows next.

Sources: Reuters, Data Center Dynamics, American Public Power Association, Brookings