Michael Burry Just Bet Big Microsoft Will More Than Double by 2028

Michael Burry disclosed December 2028 Microsoft LEAP call options with a roughly $700 strike, signaling he expects MSFT to rise well above current levels around $350-$373. The trade highlights bullish conviction on Microsoft’s AI, Azure, enterprise software, and OpenAI exposure, but the position size is unknown and the options could expire worthless if the stock does not outperform the strike plus premium. The article is more a sentiment signal than a direct catalyst, so near-term market impact should be limited.

Analysis

The important signal is not that Microsoft is “cheap” or “expensive,” but that the market is still underpricing the duration of its AI monetization curve. A deep-out-of-the-money, long-dated call only makes sense if the holder believes the next two earnings cycles are less important than a 2027-2028 operating leverage inflection driven by cloud mix, AI attach rates, and enterprise seat expansion. In other words, the real optionality is in margin durability: if AI capex converts from a drag into a tollbooth, the stock can re-rate much faster than headline revenue growth implies.

The second-order effect is that this trade is a vote for AI infrastructure spending staying elevated longer than consensus expects. That helps the picks-and-shovels ecosystem, but it also creates a winner-take-more dynamic in large-cap software versus lower-quality AI beneficiaries with weaker distribution. If Microsoft proves it can monetize AI without sacrificing free cash flow, smaller competitors face a harsher capital market: they will be forced to spend into a losing race while Microsoft compounds from a much larger base.

The market’s blind spot is asymmetry around time. Most investors are still framing MSFT as a mature mega-cap that needs near-term beats to justify ownership, while the call structure effectively expresses the opposite: the stock can stagnate for quarters and still be a good trade if the long-run adoption path remains intact. The key risk is that AI enthusiasm turns into a multiple-headwind if enterprise customers slow incremental spend, or if capex intensity remains high without clear monetization by 2026. In that scenario, the option premium bleeds even if the fundamental story is intact.

From a positioning standpoint, this is less a signal to chase MSFT than to own the broader AI monetization chain with better convexity. If Microsoft is the right long, then the adjacent beneficiaries with cleaner operating leverage—chip, networking, and data-center infrastructure—may have better near-term payoff. The best contrarian framing is that the consensus is too focused on whether AI demand exists, and not focused enough on who captures the economics when demand persists for another 3-4 years.

Key Decisions for Investors

• Long MSFT on any 3-5% pullback over the next 2-6 weeks; use a stock position or call spreads rather than deep OTM calls. Risk/reward favors owning the equity because the catalyst is multi-quarter, while the premium bleed on long-dated upside is substantial.
• Pair trade: long MSFT / short a basket of weaker AI software names with lower retention or poorer cash conversion over the next 3-6 months. The bet is that durable distribution and enterprise control win more than narrative-driven AI exposure.
• Long the AI infrastructure beneficiaries with cleaner operating leverage (for example: ANET, AVGO, or a basket of datacenter power/networking names) into any evidence of sustained Azure capex. These names can outperform MSFT on 6-12 month basis if the buildout remains capital intensive.
• If you want convexity on the same thesis, use MSFT Jan-2027 or Jan-2028 call spreads instead of outright calls. This preserves upside tied to a 2027-2028 re-rating while materially reducing theta decay risk versus the disclosed structure.
• Set a catalyst watch on the next two earnings prints: if AI-related capex keeps rising without acceleration in cloud growth or margins, fade the name tactically for 1-2 quarters; if margins stabilize, add aggressively because the stock can re-rate well before the market gives full credit.