Microsoft's latest quarterly update showed cloud demand accelerating at the same time the company moderated certain outlays, a combination that could help validate its expansive push into artificial intelligence infrastructure.
In the fiscal third quarter, capital expenditures increased 49% to $31.9 billion, the company reported. That was below Visible Alpha's consensus forecast of $34.90 billion. For context, spending in the prior quarter stood at $37.5 billion.
The Azure cloud-computing business posted a 40% revenue gain in the period, an uptick from the 39% growth in the previous quarter and in line with the consensus estimate of 40%. That sequential acceleration in cloud growth comes as Microsoft attempts to demonstrate that its heavy investment in AI will produce commercial returns.
Executives have been under pressure to show that early deployments of products such as Copilot 365 and partnerships tied to OpenAI are translating into sustainable customer uptake. The results for the quarter could ease concerns that slower-than-expected adoption of Copilot for enterprises, or a reliance on OpenAI technologies, may have eroded Microsoft’s lead in the AI race.
One strategic response has been to broaden the range of AI models available through Microsoft’s cloud and product suite. The company has integrated technology from AI developer Anthropic across its cloud offerings and Copilot, increasing the variety of models available to customers. Those expanded options contributed to Microsoft's largest Copilot rollout to date: roughly 743,000 employees at Accenture, representing a majority of that company's workforce.
Microsoft also revised its commercial arrangement with OpenAI to secure a 20% share of the startup’s revenue through 2030, irrespective of whether OpenAI achieves particular technical breakthroughs. However, that revised deal removes Microsoft's exclusive right to resell OpenAI products on its cloud, a change that coincides with heightened competitive activity from other large providers.
Amazon has begun offering OpenAI’s latest models and the Codex coding tool on its cloud platform, and other major cloud providers are likewise pursuing AI model access. The loss of resale exclusivity could free capacity on Microsoft’s own cloud infrastructure - the company has previously pointed to capacity shortages as a constraint on revenue growth and used those limitations to justify elevated data-center spending.
These data-center investments come as major cloud operators are projected to ramp up AI infrastructure spending broadly, with the industry on track to spend more than $600 billion on AI-related infrastructure this year, according to the figures cited by the company. Funding that scale of build-out has prompted cost-control measures across the sector.
Microsoft recently introduced an employee buyout program, its first in over five decades. Peers in the technology and cloud space have also pursued headcount reductions; the company noted that Amazon and Meta have announced job cuts affecting thousands of workers.
Implications for investors and markets
The combination of accelerating cloud revenue and capex coming in below expectations may provide some comfort to investors weighing the near-term cash flow impact of Microsoft’s AI investments. At the same time, evolving commercial relationships with AI model providers and intensifying competition for model distribution complicate the landscape for long-term share gains in cloud services.