Microsoft Reportedly Targets 38GW Data Centre Footprint by 2032
Synopsis
Microsoft is reportedly planning to expand its global data centre capacity to 38 gigawatts by 2032, more than tripling its current footprint as the technology giant races to secure computing infrastructure for AI and cloud services.
Microsoft is reportedly planning to more than triple its global data centre capacity over the next six years, targeting around 38 gigawatts of capacity by 2032 as demand for artificial intelligence and cloud computing continues to rise.
According to Bloomberg News, Microsoft currently operates about 12GW of data centre capacity. Only around 2GW is dedicated to infrastructure using AI-specific chips.
Under the reported expansion plan, AI-focused capacity could account for roughly one-third of the company’s future 38GW footprint.
AI Drives Microsoft’s Infrastructure Spending
The reported expansion highlights the enormous infrastructure requirements behind generative AI services such as Microsoft’s Copilot and other cloud-based applications.
Training and running advanced AI models requires large numbers of specialised processors, as well as substantial power, cooling and data centre infrastructure. Microsoft has therefore been committing billions of dollars to expand its computing footprint while trying to keep pace with demand from customers adopting AI.
The spending comes as Microsoft’s cloud business shows signs that its AI investments are beginning to generate returns. In July, the company forecast stronger-than-expected cloud growth, helping ease concerns that its infrastructure spending could run ahead of demand.
Billions More Planned for Data Centres
Microsoft expects capital expenditure of about $50 billion in the first quarter of fiscal 2027 and approximately $175 billion across calendar 2026.
The company is also changing how it accounts for some long-term data centre leases. According to the report, Microsoft plans to spread certain leases over 25 years rather than 15, which would reduce the annual capital expenditure burden reported under its accounting approach.
The scale of the reported 38GW target also reflects the wider infrastructure race among major technology companies. Microsoft, Amazon, Google, Meta and other hyperscalers are investing heavily in data centres to secure the computing capacity needed for increasingly powerful AI systems.
The expansion comes as the economics of AI infrastructure face greater scrutiny. Data centres require enormous amounts of electricity and increasingly specialised hardware, while companies must determine whether future AI demand will justify the billions being committed today.
For Microsoft, the challenge will be balancing that infrastructure buildout with the need to turn its growing AI and cloud capacity into sustainable revenue.
Source: Reuters
Vishal is an experienced Editor at Inspirepreneur Magazine with key interests in artificial intelligence, eCommerce, entrepreneurship, lifestyle and startup sector. Prior to joining Inspirepreneur, he was a Content Writer cum Correspondent at Siliconindia Magazine, where he worked on Company Profiles, Cover Stories, Executive Profiles, Feature Articles and Thought Leadership content.
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