TD Cowen reiterates Buy on Microsoft stock, cites OpenAI deal

TD Cowen reiterated a Buy rating and $540 price target on Microsoft, saying the amended OpenAI partnership could reduce revenue-share payments by about $700 million in fiscal 2026 and $5.1 billion by fiscal 2030. The firm expects this to add 1% to 2% to Azure growth in fiscal 2027 and lower customer concentration and capex burden. The news is supportive for Microsoft and reinforces AI-driven demand across the storage and cloud infrastructure chain.

Analysis

The cleaner read is that Microsoft is deliberately turning AI infrastructure from a quasi-monopoly economics story into a capacity-and-distribution story. That is mildly negative for margin purity, but positive for addressable demand because it removes a bottleneck that was effectively capping Azure AI throughput and forcing customers to multi-home elsewhere. In other words, near-term revenue share dilution is less important than the option value of keeping the largest enterprise AI workload cluster inside the Microsoft ecosystem.

The second-order winner is the AI infra supply chain: more externalized OpenAI capacity means more demand for memory, storage, networking, and power-constrained data center buildouts across vendors that are not in the headline. Seagate is one of the cleaner beneficiaries because persistent model training, retrieval, and agentic inference all increase storage intensity per dollar of cloud spend; the market is still underappreciating that AI workloads are not purely GPU-driven. Oracle and Amazon also gain from a more fragmented OpenAI compute stack, but the economic impact is asymmetric: they capture incremental utilization without bearing the full platform risk Microsoft used to shoulder.

The main risk is that this is a 6-12 month earnings mix issue, not a 1-2 week catalyst, so the stock reaction can overshoot before the actual P&L benefit lands. If Azure growth re-accelerates by only low-single digits while capex intensity stays elevated, the market may pivot back to valuation compression on MSFT and the whole AI complex. The contrarian point is that investors may be overestimating the incremental P&L benefit to Microsoft and underestimating the strategic benefit of removing constraints; that usually means the spread trade is better than the outright long.

There is also a subtle competitive implication for hyperscalers: if OpenAI becomes more infrastructure-agnostic, bargaining power shifts away from any single cloud provider, which should ultimately improve pricing for OpenAI and compress exclusive economics across the sector. That makes this less about one company winning and more about AI demand being re-priced across the entire compute stack. The near-term tape may stay positive for the “AI is still underbuilt” narrative, but the better medium-term setup is in the picks-and-shovels names with cleaner operating leverage.

Key Decisions for Investors

• Long MSFT / short a basket of AI infra peers on valuation: use the next 1-2 weeks of strength to build a relative-value short against the highest-multiple beneficiaries; thesis is MSFT gets strategic optionality but the market is likely overpaying for immediate earnings uplift.
• Initiate a tactical long in STX or WDC for 3-6 months if AI storage demand keeps compounding; risk/reward is favorable because storage is still discounted versus GPUs, and incremental AI workload intensity should flow through with a lag.
• Add ORCL on pullbacks for a 6-12 month horizon; OpenAI’s multi-cloud posture increases the odds Oracle remains a structural capacity winner, with upside from utilization rather than heroic revenue assumptions.
• Buy AMZN vs MSFT as a pair trade if you expect the market to reward diversified AI cloud exposure; Amazon should benefit from any continued deconcentration of OpenAI workloads, while MSFT absorbs the margin-dilution narrative.
• If MSFT rallies sharply into earnings, consider a near-dated call spread sale to monetize implied-volatility compression; the upside from the agreement is more likely to show up in commentary than in immediate reported numbers.