Williams Considers Acquiring Gas Assets to Meet AI-Driven Energy Demand

Pipeline operator looks to become integrated energy supplier to hyperscalers and data centers

Published on Feb. 9, 2026

US natural gas infrastructure group Williams Companies is considering acquiring gas production assets in the United States, according to sources familiar with the matter. The strategic shift, unusual for a pipeline operator, reflects Williams' ambition to become an integrated energy supplier to hyperscalers and data-centre operators, whose needs are surging with the development of artificial intelligence.

Why it matters

Williams is looking to offer end-to-end energy solutions combining production, transportation and power supply to secure customers' supply as electricity demand rises sharply. The move towards vertical integration aims to help Williams stand out in an increasingly competitive market.

The details

With electricity demand rising sharply, Williams is looking to offer end-to-end solutions combining production, transportation and power supply to secure customers' supply. The Tulsa-based company is betting on vertical integration to stand out in an increasingly competitive market. It remains cautious, however: no final decision has yet been made on any potential acquisitions. Historically focused on transportation, Williams sold its upstream business in 2012 before exiting production entirely with the sale of its stake in the Haynesville Basin in 2023.

  • Williams' $2bn Socrates project in Ohio is set to supply Meta's facilities from the second half of 2026.
  • Two other projects, Apollo and Aquila, planned for 2027, represent an additional $3.1bn investment.

The players

Williams Companies

A US natural gas infrastructure group based in Tulsa, Oklahoma.

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What’s next

No clear next steps are mentioned in the article.

The takeaway

Williams' shift towards acquiring gas production assets and becoming an integrated energy supplier reflects the growing demand for reliable and sustainable energy solutions, particularly from hyperscalers and data centers as artificial intelligence development accelerates.