Michael Burry-linked investors bet Microsoft could more than double by 2028, as AI infrastructure competition intensifies

Artificial intelligence has turned stock picking into a debate about who will control the plumbing behind the next decade of computing, according to a market report published June 27, 2026. The piece frames AI spending as a contest for the infrastructure that powers models, cloud services, and enterprise adoption, and it points to Microsoft as a leading beneficiary.

The report says investor Michael Burry has placed a big bet that Microsoft will more than double by 2028. It presents the thesis as a forward-looking view of how AI demand is likely to flow through major technology platforms, rather than as a recap of any new Microsoft results or guidance.

In the same narrative, the article describes the market backdrop: investors have “poured hundreds of billions of dollars” into AI leaders. That scale of spending, the report argues, increases the odds that the winners are not only the developers of AI models, but also the companies providing the underlying compute, data services, and cloud infrastructure where those models run.

Microsoft is the subject of the bet because it sits at the center of multiple layers of the AI stack. The company’s cloud platform, along with its enterprise software footprint, positions it to serve organizations that want to run AI workloads at scale, including through managed services rather than standalone infrastructure purchases.

Even with a bullish thesis circulating in the market, the key point for readers is what is and is not new. The Microsoft company itself was not described in the cited market post as making a specific 2028 earnings or price target announcement. Absent additional primary documentation in the published report, Microsoft’s latest disclosures and corporate guidance cannot be confirmed from this item alone.

Sector context matters because AI infrastructure is increasingly being treated as a long-duration spending cycle. Companies that provide cloud capacity, data and developer tooling, and enterprise deployment pathways can benefit as customers move from experimentation to production workloads, which typically require ongoing compute and services.

Still, uncertainty remains. Market coverage like this generally does not provide the underlying position details, the size of the bet, or the valuation assumptions that would justify a “more than double” outcome by a specific year. Investors and readers also have limited visibility into whether the claim reflects a formal disclosed position, an inference based on filings, or simply a widely repeated estimate.

What to watch next is whether Microsoft updates investors with concrete indicators tied to AI infrastructure demand, such as cloud consumption trends, Azure performance indicates, or any quantified guidance about AI-related revenue growth. Separately, readers may also look for additional reporting or primary documents that clarify how the Burry-linked thesis was formed and whether it rests on specific holdings or derivatives.