Microsoft’s Strong Earnings, AI Revenue Surges by $13 Billion, Cloud Growth Slowdown Draws Market Attention
Microsoft has released its financial report for the second quarter of fiscal year 2025, reporting revenue of $69.632 billion, a 12% year-over-year increase, with earnings per share (EPS) of $3.23, both exceeding analysts' expectations. However, despite overall solid performance, signs of slowing growth in Microsoft’s cloud business have drawn market attention.
The report shows that revenue from Microsoft’s commercial cloud business reached $40.9 billion, up 21% year-over-year, slightly lower than the previous quarter’s 22% growth. Revenue from the Intelligent Cloud segment was $25.544 billion, an increase of 19%, down from 20% in the previous quarter. Growth in Azure and other cloud services slowed from 33% in the last quarter to 31%.
Microsoft’s massive investments in AI continue to accelerate. Capital expenditures in the fourth quarter reached $22.6 billion, a year-over-year increase of 96.5%. Of this, $15.8 billion was allocated to real estate and equipment-related spending, indicating Microsoft's increased investment in AI infrastructure to support the growth of its Azure AI business. However, investors are increasingly concerned about whether these investments will translate into sustainable profit growth.
AI Revenue Surpasses $13 Billion Annually, DeepSeek Challenges Silicon Valley’s Cost Model
Microsoft’s AI sector posted the most impressive growth. During the earnings call, CEO Satya Nadella revealed that the company’s AI business has surpassed $13 billion in annual revenue, marking a 175% year-over-year increase. AI products contributed 13 percentage points to Azure’s growth, exceeding analysts’ expectations of 12.2%.
Notably, the rise of Chinese AI startup DeepSeek is reshaping traditional industry perceptions of AI cost structures. DeepSeek’s R1 model has been integrated into Microsoft’s Azure AI Foundry and GitHub’s model directory and is compatible with Copilot+ PCs and the Windows GPU ecosystem. This model features automatic red teaming, content safety integration, and security scanning capabilities.
At the same time, Microsoft continues to advance its hybrid open-source and closed-source AI model strategy. Nadella stated, “Our support for OpenAI’s leading models, best open-source models, and small language models (SLMs) places us in a favorable market position.”
This shift highlights Microsoft’s strategic adjustments toward an open AI ecosystem and suggests that low-cost, high-efficiency AI models are challenging the industry's existing cost structures.
During the earnings call, Nadella described DeepSeek’s emergence as a “genuine innovation” and emphasized that declining AI costs are an industry trend. He noted that lower inference computing costs will drive broader AI adoption, which is “good news” for large platform providers like Microsoft.
Strong AI Growth, Expanding Copilot Ecosystem
AI is driving Microsoft’s overall growth, accelerating improvements in computing efficiency. Nadella stated, “In inference, software optimizations have more than doubled hardware cost efficiency with each new generation, while model efficiency has improved by more than tenfold.”
The Copilot product line remains a key growth driver. GitHub Copilot has become the preferred development tool for many global enterprises, and Copilot Studio’s user base is expanding rapidly. As of the last quarter, over 160,000 organizations were using Copilot Studio, having created more than 400,000 custom agents, marking a more than twofold sequential increase. Nadella commented, “Beyond Fabric, we are seeing new AI driven data patterns emerge. If you look underneath ChatGPT or Copilot or Enterprise AI apps you see the growth of raw storage, database services and App platform services as these workloads scale. ”
Cloud Growth Slows, Capital Expenditures Surge
Despite strong AI performance, Microsoft’s overall cloud growth has slowed. Commercial cloud revenue grew 21%, slightly below the previous quarter’s 22%. Growth in Azure and other cloud services slowed to 31%, down from 33% in the prior quarter.
Meanwhile, Microsoft’s AI infrastructure investment has reached a record high. CFO Amy Hood stated that third-quarter capital expenditures reached $22.6 billion, up 96.5% year-over-year, primarily to support the long-term development of cloud and AI businesses. She emphasized, “More than half of our cloud and AI related spend was on long-lived assets that will support monetization over the next 15 years and beyond. ”
However, the high investment in cloud infrastructure has led to a decline in gross margin. Microsoft’s cloud gross margin stood at 70%, down two percentage points year-over-year due to increased costs from scaling AI infrastructure.
Investor Concerns Over AI Returns: How Will Microsoft Meet Market Expectations?
While Microsoft remains a leader in AI, intensifying competition and slowing cloud growth have raised investor concerns about the return on its capital expenditures. Microsoft must demonstrate to the market that its high AI investments will generate substantial future profits while maintaining a competitive edge in an increasingly contested industry.
As the AI sector transitions into a cost-reduction and efficiency-improvement phase, Microsoft’s next strategic moves will be closely watched. Looking ahead to fiscal year 2025, Microsoft expects continued double-digit growth in revenue and operating profit, with a focus on improving sales costs and operational efficiency. Although capital expenditures will remain high, Hood stated that from fiscal year 2026 onward, AI-related spending growth will slow and shift toward short-term assets that more directly drive revenue growth.
Overall, Microsoft’s strong AI business growth has bolstered market confidence, but slowing cloud growth and high capital expenditures remain key investor concerns. As the AI industry moves into an era of cost efficiency, Microsoft’s long-term competitiveness will face ongoing scrutiny from the market.