Microsoft Stock Down 11% After Strong Q2 and $37.5B Capex Surge
Microsoft reported Q2 revenue up 17% YoY and EPS up 24%, unveiling its Maia 200 inference chip. The stock fell 11% in January as investors cited rising capex at $37.5 billion (+66% YoY), slowing Azure growth guidance, and concerns about OpenAI’s $1.4 trillion spending commitments versus $20 billion revenue.
1. Sharp January Sell-Off Despite Strong Q2 Results
Microsoft shares declined by 11% in January, even after reporting second-quarter revenue growth of 17% year-over-year and non-GAAP EPS growth of 24%. The sell-off was driven by investor unease over a 66% jump in capital expenditures to $37.5 billion, concerns over the long-term impact of AI on traditional software margins, and a tempered outlook for Azure growth. Additionally, questions about OpenAI’s ability to fulfill its $1.4 trillion cloud-compute commitments, given current revenues of approximately $20 billion, contributed to the pullback.
2. Backlog Concentration and AI Exposure Risk
In its latest earnings release, Microsoft revealed that a sizable portion of its deferred revenue backlog is directly linked to its OpenAI partnership, raising concentration risk concerns. While beating top- and bottom-line expectations, management noted that over 30% of new enterprise commitments involve AI-driven projects, underscoring both the opportunity and the dependency on successful integration of generative AI models across Microsoft 365, Azure OpenAI Service, and GitHub Copilot.
3. Commercial Leadership Reshuffle to Accelerate AI Adoption
In an internal memo, Commercial CEO Judson Althoff promoted four executives to Executive Vice President roles to streamline the feedback loop between customers and product teams. Deb Cupp now leads global enterprise sales; Mala Anand oversees customer experience, unifying support and success services; Nick Parker heads Worldwide Sales & Solutions; and Ralph Haupter manages small and medium-enterprise channels. These changes aim to free up engineering leaders to focus on AI platform development while ensuring rapid commercialization of Copilot, Azure AI, and related offerings.