Microsoft went into its earnings facing one fundamental question: is the vast investment in artificial intelligence actually working? The numbers from the fourth quarter of fiscal 2024 provided a largely affirmative answer, even if some asterisks remain. Revenue rose 18% to $90bn for the quarter ending 30 June, while net income climbed 31% to $35.8bn. The Microsoft Cloud segment alone brought in $59.3bn, up 27%. Shares rose about 2% in after-hours trading, reflecting investor relief that the spending spree is yielding tangible growth.
Azure reaccelerated
The figure that investors watch most closely is Azure, and it beat expectations. Azure and other cloud services grew 43% year on year, ahead of the 40% analysts had forecast and up from 40% in the previous quarter. This acceleration is especially significant because Microsoft has been constrained by computing capacity. The company has been so stretched for data center power that it has had to ration graphics processing units (GPUs) among its own research teams, Azure customers, and its Copilot AI assistant. Growing 43% through that supply squeeze is the quarter's real signal of underlying demand. For the full financial year, Azure passed the $100bn revenue mark for the first time, cementing its position as the second-largest cloud infrastructure provider behind Amazon Web Services.
The backlog is broadening
The demand for Microsoft's cloud and AI services is not coming solely from the major AI labs. The company's commercial backlog—revenue that has been booked but not yet recognized—jumped 84% year on year to $678bn. Crucially, Microsoft said the sequential growth in the quarter came primarily from customers other than the big model developers. This matters because of concentration risk. In January, Microsoft disclosed that about 45% of its backlog at that time was tied to its partnership with OpenAI. The fact that other enterprises and organizations are now signing up in large numbers eases the worry that one partner underwrites the entire growth narrative. Separately, paid seats for Microsoft 365 Copilot, the AI assistant embedded in Office software, surpassed 30 million, up from 20 million in July, indicating rapid adoption among businesses of all sizes.
To put the backlog in context, the $678bn figure represents a massive pipeline of future revenue that gives Microsoft strong visibility into the coming years. It also shows that enterprises are committing to long-term cloud and AI contracts at an unprecedented rate. The broadening of the customer base beyond OpenAI suggests that Microsoft's AI platform is becoming a general-purpose tool, not just a specialized offering for cutting-edge research labs.
The bill keeps climbing
The cost of that growth, however, is not declining. Microsoft spent $35.8bn on property and equipment in the quarter alone, more than double the $17bn it spent a year earlier. For the full fiscal year, capital expenditures reached approximately $116bn. This massive investment is going into building out new data centers, acquiring Nvidia GPUs, and expanding network infrastructure to support AI workloads. Investors have been uneasy about exactly this: the stock is down 19% year-to-date as the spending climbed, and rivals such as Amazon and Google are pouring similar sums into their own AI initiatives. The relief in the small after-hours pop is that, for now, the revenue is keeping pace with the outlay. But the question remains whether the return on these investments will sustain the growth rates required to justify the massive upfront costs.
Microsoft's approach has been to treat AI as a generational platform shift, akin to the rise of the internet or the smartphone. CEO Satya Nadella has repeatedly emphasized that the company will invest aggressively to capture market share, even if it means short-term margin compression. The results show that this strategy is working in terms of top-line growth, but the bottom-line impact is more nuanced.
Good, but not great
The profit jump needs an asterisk. Net income grew 31% on paper, but a one-off $3.2bn gain on Microsoft's stake in the AI lab Anthropic helped lift it. On the company's own non-GAAP measure that strips out investment swings related to OpenAI, net income grew 22%. Costs also came in lower than expected thanks to Microsoft's first voluntary retirement programme, which reduced headcount expenses, partially offset by a writedown on Xbox assets. So the read is mixed. AI cloud demand is clearly real and broadening, but the spending that fuels it keeps rising, and the build-out still needs paying for.
Furthermore, competition is intensifying. Google Cloud has been gaining momentum in AI services, and AWS has launched a flurry of new generative AI offerings. Microsoft's advantage lies in its deep integration with enterprise software (Office, Teams, Dynamics) and its partnership with OpenAI, which gives it access to cutting-edge models. However, as AI models become commoditized, the competitive edge may shift to the platform with the best developer tools, pricing, and ecosystem. Microsoft Azure's strength in hybrid cloud (via Azure Arc) and its strong customer relationships from decades of enterprise software sales provide a solid foundation, but the race is far from over.
Looking at the broader tech landscape, Microsoft's results also serve as a bellwether for enterprise IT spending. The fact that companies are willing to sign multi-year contracts for cloud and AI services signals that the digital transformation wave is still strong, despite macroeconomic uncertainties. Microsoft's guidance for the next quarter will be closely watched for any signs of slowdown in Azure growth or capital expenditure moderation.
In summary, Microsoft Q4 confirms that the AI bet is paying off for now, with Azure passing the $100bn milestone and the backlog broadening beyond OpenAI. The company is successfully monetizing its AI investments across cloud, productivity, and enterprise software. However, the massive spending on infrastructure continues to weigh on margins and investor sentiment. The key going forward will be whether Microsoft can maintain its growth trajectory while improving capital efficiency. As the AI arms race escalates, the company's ability to balance innovation with financial discipline will determine whether the stock can regain its footing.