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TD Cowen analysts reported on March 26, 2025, that Microsoft had walked away from data-center projects in the United States and Europe representing about 2 gigawatts of planned electricity capacity. That was an analyst estimate based on channel checks—not a Microsoft announcement or a confirmed tally of canceled construction. Microsoft’s later disclosures described Azure demand as exceeding available capacity and laid out continued large-scale investment. The evidence points more toward selective changes to projects and timing than a company-wide retreat from AI infrastructure.
What TD Cowen reported
In a March 26, 2025 report, TD Cowen analysts said Microsoft had pulled back from data-center projects in the United States and Europe representing approximately 2 GW of planned electricity capacity. The reported actions included walking away from projects, lease cancellations and deferrals. Bloomberg and Data Center Knowledge summarized the analysts’ report, but the available coverage does not identify every site, operator, contract value or cancellation fee. Bloomberg’s report and Data Center Knowledge’s coverage attribute the estimate to TD Cowen.
The 2-GW figure refers to planned electricity capacity, not a verified amount of live server capacity, IT load or usable GPU compute. Those measures are related but not interchangeable: power availability is only one part of bringing a functioning data center online.
This report followed a February 2025 TD Cowen report that Microsoft had canceled U.S. leases totaling “a couple of hundred megawatts,” involving at least two private data-center operators. The analysts also said Microsoft had pulled back from converting statements of qualifications into formal leases. Bloomberg’s February coverage likewise described analyst findings, not a Microsoft filing or public cancellation announcement.
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Why the reports raised questions about AI investment
Large data-center commitments reflect expectations about future workloads, power, hardware and customer demand. If a company cancels or delays projects, investors may ask whether its forecasts were too aggressive or whether the capacity would arrive before workloads were ready. That concern matters especially for AI infrastructure, where expensive accelerators can lose their competitive edge faster than the buildings and power systems built to house them.
But project-level pullbacks do not establish that total demand has fallen. A particular site may be too costly, slow to connect to power, poorly located, or scheduled too early. Microsoft can remain short of capacity overall while deciding that certain leases or projects no longer fit its plans.
How OpenAI may fit into the picture
Bloomberg reported that Microsoft and OpenAI had changed their multiyear arrangement, giving OpenAI greater ability to use other cloud providers where Microsoft did not want the business itself. Microsoft had invested roughly $13 billion in OpenAI, according to that reporting. TD Cowen viewed the change as one possible reason Microsoft might not need every project originally associated with anticipated OpenAI workloads. The report does not establish that OpenAI caused each pullback, or identify specific projects tied to OpenAI.
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What Microsoft’s later disclosures show
Microsoft’s fiscal third-quarter 2026 earnings materials present a very different picture from a broad infrastructure retreat. The company reported Azure growth of 40% year over year, or 39% in constant currency, and said demand across workloads, customer segments and regions continued to exceed available supply. It said it added another gigawatt of capacity during the quarter and remained on track to double its overall data-center footprint in two years. Microsoft also said it expected to remain capacity-constrained through at least 2026. These are company statements, not independent measurements of demand or utilization. Microsoft’s fiscal Q3 2026 earnings call materials provide the company’s account.
The spending figures also argue against interpreting the reported project changes as an overall stop to investment. Microsoft reported $31.9 billion in capital expenditures for the quarter, with about two-thirds going to short-lived assets, primarily GPUs and CPUs. Finance leases totaled about $4.7 billion, primarily for large data-center sites. The company expected quarterly capital expenditures to rise above $40 billion and projected approximately $190 billion of calendar-2026 capital expenditures, including about $25 billion related to higher component prices. Those figures come from Microsoft’s fiscal Q3 2026 outlook and are not a direct count of data-center projects; equipment purchases, lease timing and construction all affect reported spending. Microsoft’s earnings materials describe the figures and outlook.
What “walking away” can—and cannot—mean
A lease cancellation, a project delay and a permanent construction cancellation are different events. A site can be resized or renegotiated, a lease can be replaced with a commitment elsewhere, and planned capacity can be reallocated to another workload. The public reporting does not establish which outcome applies to every project in TD Cowen’s estimate.
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Leases also complicate comparisons with capital spending. Microsoft uses operating and finance leases for data centers, offices, facilities and equipment. Its disclosed lease terms range from under one year to as long as 19 years, with extension and termination options in some arrangements. The way and timing of a lease affect reported obligations and capital expenditures, but neither a lease change nor a quarterly CapEx total alone reveals the status of every site. Microsoft’s lease disclosures describe its operating and finance lease arrangements.
Nor does a power-capacity estimate translate into a fixed quantity of GPUs. A project’s usable compute depends on equipment, networking, cooling, power delivery and deployment schedules. Local permitting, power availability, water, connectivity and costs can make one location unattractive even when demand elsewhere remains strong.
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The most useful test is whether project-level changes are accompanied by company-wide evidence of weakening demand or reduced investment. Watch for these indicators together rather than treating an analyst estimate or a single quarter of spending as decisive:
- Azure growth and demand: Slower growth or a change in Microsoft’s statements about demand exceeding supply would matter more than an isolated site change.
- Capital-spending outlook: Lower guidance or repeated cuts would strengthen the case for a broader pullback; rising spending alone does not prove that every project is on track.
- Capacity deployment: Additions of power, data-center space, GPUs and servers show whether planned infrastructure is reaching operation.
- Repeated project changes: Cancellations across multiple operators and regions would be more significant than a few early-stage or contingent commitments.
- Customer commitments: Changes in demand from major customers, including AI developers, may alter the economics of capacity planned around particular workloads.
- Operator and regional disclosures: Data-center operators’ announcements can help distinguish a delayed site from a permanently canceled one, while local power and construction conditions explain why regions can diverge.
The most defensible reading
TD Cowen’s report is a meaningful signal that Microsoft was reassessing some projects, but it is not proof that Microsoft canceled 2 GW of operating compute or that AI demand collapsed. Microsoft’s later statements point to continuing system-wide capacity pressure and substantial planned spending. The best-supported interpretation is that Microsoft was becoming more selective about where, when and under what commercial terms it added capacity—a conclusion inferred from the contrast between the analyst-reported project pullbacks and Microsoft’s company-wide disclosures, not an explanation Microsoft publicly gave for those specific projects.
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