Microsoft shares rose 15.5% on July 30, while Meta fell 8%, giving investors two sharply different ways to assess Big Tech’s AI infrastructure boom. Microsoft paired heavy spending with faster Azure growth, rising Copilot adoption and a larger commercial backlog. Meta’s advertising business grew strongly, but expenses climbed and free cash flow dropped.
Microsoft is not spending cautiously. It reported $41 billion in quarterly capital expenditures, while Meta expects total 2026 capital expenditures of $130 billion to $145 billion. The periods and accounting details differ, so the figures are not directly comparable. Investors responded more favorably to Microsoft because its results showed clearer links between infrastructure investment, cloud consumption, software subscriptions and contracted demand.
Microsoft links spending to current demand
The July 30 market reaction followed Microsoft’s fiscal fourth-quarter results. Quarterly revenue and operating income both rose 18%. Azure revenue increased 43%, while full-year Azure revenue exceeded $100 billion for the first time.
Microsoft also reported more than 30 million paid Microsoft 365 Copilot seats, with net additions more than doubling from the previous quarter. Its commercial remaining performance obligation — contracted revenue not yet recognized — rose 84% to $678 billion. About 30% is expected to be recognized within 12 months.
Those disclosures give investors several measurable demand signals. Customers are buying Copilot licenses, consuming Azure services and making multiyear commitments. Microsoft also operates several commercial platforms that can use the same infrastructure, including Azure, Microsoft 365 and GitHub.
The buildout still carries financial pressure. Microsoft reported $19.6 billion in quarterly free cash flow as capital expenditures increased. Its company gross margin percentage fell year over year, driven partly by the sales mix shifting toward Azure and continued AI infrastructure investment. Microsoft forecasts Azure growth of approximately 45% in constant currency for its next quarter.
Vendor growth does not guarantee that each deployment will produce an acceptable return. Because AI agent cloud costs can vary sharply between similar workflows, IT teams need workload-level controls, adoption data and measurable operational results before expanding Azure AI or Copilot contracts.
Meta’s AI returns remain harder to separate
Meta raised the lower end of its 2026 capital-expenditure forecast from $125 billion to $130 billion, leaving the upper end at $145 billion. The forecast includes principal payments on finance leases. Quarterly free cash flow fell to $784 million from $8.55 billion a year earlier.
Meta’s core business remained strong. According to Meta’s second-quarter results, revenue increased 28% to $60.8 billion. Ad impressions rose 14%, while average ad prices increased 12%.
Meta says AI is improving its core business and supporting new products, but it does not report AI-attributable revenue separately. Total costs and expenses rose 55%, while operating income declined 8%. The quarter included $2.4 billion in legal charges and $1.18 billion in severance expenses, so AI investment alone did not cause the decline.
Meta expects its infrastructure to support larger models, personal agents and future enterprise products. It is also reportedly considering whether to sell access to excess AI compute, but it has not announced a commercial service, pricing, availability or financial targets.
Investors are applying a similar test elsewhere. Google recently raised its 2026 capital-spending forecast to as much as $205 billion as cloud demand accelerated. Microsoft currently provides stronger evidence of revenue growth and contracted demand, while Meta’s newer AI businesses remain financially less visible.
Read more: Larger capital budgets do not eliminate every infrastructure constraint; AI data center networking is becoming a separate bottleneck as GPU clusters place more pressure on switches, interconnects and congestion controls.
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