Data Center Power

Microsoft is making its biggest push yet to run its own AI services on its own silicon. The company said Monday that its newest in-house accelerator, the Maia 300, will start rolling out next year, and that it expects to install its Maia chips at multiple-gigawatt scale across its data centers. The plan would make Maia the primary inference system behind Microsoft products — the hardware that answers every Copilot prompt, summarizes every Teams meeting, and generates every research response.

Morgan Stanley warned on October 5, 2026, that a worsening U.S. data-center power crunch is now hitting the chip supply chain — but Nvidia and Broadcom are relatively insulated. The brokerage estimated last month that U.S. data-center developers face a 34 percent net power shortfall through 2028, equivalent to roughly 32 gigawatts, even after accounting for behind-the-meter generation and fuel cells.

Enterprise IT has a new supply-chain reality to reckon with. At its recent Apsara Conference, Alibaba Cloud laid out the most complete picture yet of a self-developed AI compute stack that runs from silicon to full rack-scale clusters — and it is considerably deeper than most Western observers assumed.

Two data center developers announced on October 9 that they have secured planning approval for a massive AI-ready campus in Taylor, Texas, designed to deliver up to one gigawatt of hyperscale data center capacity. The project, called the Taylor Technology Campus, is a co-development between Big Watt Digital, an integrated power and digital infrastructure platform, and PowerHouse Data Centers, a division of American Real Estate Partners focused on next-generation hyperscale facilities.