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CLAIM #44845 · Microsoft Corporation (MSFT) · 2026Q1 earnings call · Oct 29, 2025 · due Jun 30, 2026

We will increase our total AI capacity by over 80% this year and roughly double our total data center footprint over the next 2 years, reflecting the demand signals we see.

Satya Nadella · CEO

PENDING
graded after results covering Jun 30, 2026 are reported

How to check this claim

Look at: Total AI compute capacity growth (year-over-year), as disclosed by Microsoft management

It came true if: Increase in total AI capacity > 80% for the fiscal year (as stated by company commentary/disclosures)

Where: Management commentary on earnings calls (FY2026 quarterly calls) or investor materials referencing AI capacity growth

In context

ents our industry has ever seen. This is a great milestone for both companies and we continue to benefit mutually from each other's growth across multiple dimensions. Already, we have roughly 10x-ed our investment. OpenAI has contracted an incremental $250 billion of Azure services, our rev share, exclusive IP rights and API exclusivity for Azure continue until AGI or through 2030. And we have extended the model and product IP rights through 2032. And we are also energized to innovate and pursue AI advancements with both talent and compute investments that have real-world impact. With that, let's turn to our momentum across our AI platform and Copilots as well as with agents. We have the most expansive data center fleet for the AI era, and we are adding capacity at an unprecedented scale. We will increase our total AI capacity by over 80% this year and roughly double our total data center footprint over the next 2 years, reflecting the demand signals we see. Just this quarter, we announced the world's most powerful AI data center, Fairwater in Wisconsin, which will go online next year and scale to 2 gigawatts alone. And we have deployed the world's first large-scale cluster of NVIDIA GB300s. We are building a fungible fleet that's been continuously modernized and spans all stages of the AI life cycle from pretraining to post training to synthetic data generation and inference. And it also goes beyond GenAI workloads to recommendation engines, databases and streaming. We're optimizing this fleet across silicon systems and software to maximize performance and efficiency. It's this combination of fungibility and continuous optimization that allows us to deliver the best ROI and TCO for us and our customers. For example, during the quarter, we in

Verify independently

SEC filings for MSFT · Claim quote is verbatim from the 2026Q1 earnings call.