Microsoft Reports Record Fiscal Year with 18% Revenue Growth
Microsoft reported record revenue growth of 18% for its fiscal year, driven by AI services, despite announcing layoffs totaling roughly 14% of its 2023 workforce over the past two years.
The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.
Microsoft disclosed record annual revenue growth of 18% for its fiscal year, attributing the increase to strong demand for AI-related services and products. The company also revealed plans to reduce its workforce by approximately 14% of its 2023 headcount over the past two years, though this does not represent a net reduction of 14%. The layoffs follow previous workforce reductions, including 15,000 cuts in 2025 and an additional 4,800 in July 2026.
The company highlighted a strategic shift in its AI architecture, moving away from dependence on a single model family toward a system that separates harness, context, memory, and action spaces. This approach aims to improve resilience, cost efficiency, and business continuity by allowing models to be interchangeable within a stable operational framework. Microsoft emphasized the importance of governance integrity, noting that accountability and authority must remain consistent even as models are substituted.
Microsoft’s AI leadership is increasingly focused on building systems that integrate context, memory, and agency into everyday workflows rather than relying solely on advanced models. The company reported that Copilot usage among enterprise customers grew by 75% quarter-over-quarter, reflecting broader adoption of AI tools that enhance productivity and decision-making across business functions.
During the earnings call, Microsoft CEO Satya Nadella discussed the reinvention of Microsoft Dynamics 365 for an agent-first world, exposing over 650,000 MCP actions across sales, finance, supply chain, HR, and customer service. The shift includes transitioning from a per-seat licensing model to a combined seats-plus-consumption model, enabling agents to access business context and take actions aligned with existing data models, rules, and security protocols.