Microsoft–OpenAI strain
Microsoft’s once‑tight OpenAI partnership is showing public strain as investors question Azure’s margins and Copilot subscription economics — Microsoft plunged 32% in Q1 amid the backlash. Analysts say both firms are hedging and regulatory scrutiny of the OpenAI link is intensifying, signaling tougher interviews about vendor risk and platform economics for candidates. (thehindu.com)
Microsoft’s commercial remaining‑performance obligations jumped to $625 billion, and management said roughly 45% of that backlog is attributable to OpenAI commitments—about $281 billion of future cloud revenue tied to the startup. (Microsoft investor relations; TechCrunch) Microsoft disclosed a $3.1 billion hit to net income and a $0.41 EPS reduction from its OpenAI investments in the most recent quarter, while quarterly capital expenditures rose into the tens of billions as the company expanded AI infrastructure. (Microsoft press release; CNBC) Microsoft reported roughly 15 million paid Microsoft 365 Copilot seats against more than 450 million paid Microsoft 365 commercial seats—implying ~3.3% paid penetration—while Copilot remains an add‑on priced in the enterprise range (about $30/user/month on enterprise SKUs). (Computerworld; NoJitter) OpenAI’s recent investor document explicitly flagged dependence on Microsoft for “a substantial portion” of its financing and compute, even as OpenAI signed a multi‑year $38 billion AWS infrastructure agreement and later expanded enterprise ties that sources described as a larger Amazon partnership. (CNBC; OpenAI blog; AWS press release) Reports in mid‑March said Microsoft is weighing legal action over that Amazon–OpenAI cloud arrangement amid claims it could breach Azure exclusivity, a dispute first reported by the Financial Times and carried by Reuters. (Financial Times via Reuters) U.S. regulators have escalated scrutiny: the FTC has issued civil investigative demands to competitors and is probing Microsoft’s cloud licensing, AI bundling and model‑training economics, requesting records stretching back years. (Bloomberg; Computerworld) Enterprises and advisers are already tightening third‑party AI due diligence—procurement, legal and risk teams are adopting AI vendor‑management playbooks and procurement controls that specifically target model portability, cost allocation and contractual compute commitments. (PwC; Regulativ; CIO Dive)
