MSFT · MICROSOFT CORP

Our cloud and AI strategy requires substantial investments and depends on evolving customer demand, technological developments, competitive dynamics, and regulatory conditions, any of which could adversely affect our business, financial condition, and results of operations. We have made and are continuing to make significant capital and operational investments to develop, train, deploy, and support AI models and related cloud-based services, including building and expanding datacenters, acquiring necessary components, and securing energy resources. These investments are being made at significant scale and on an accelerated timeline, require substantial and increasing capital expenditures and continued access to capital, and are in advance of fully developed revenue streams. The associated revenue may not be realized in the expected timeframes or at expected levels. Our capital and operational investments are complex and involve projects in multiple locations around the world that expose us to increased compliance risks and political challenges, among others. Our ability to fund these investments depends on our ability to generate sufficient cash flows and obtain financing on acceptable terms. Adverse changes in interest rates, credit markets, investor sentiment, our credit ratings, or other factors affecting capital availability could increase our cost of capital or limit our ability to execute our infrastructure strategy. The financial success of these investments depends on a number of uncertain factors, including customer demand for cloud-based and AI products and services and continued customer use of Azure to build, train, deploy, and run AI workloads, our ability to price and monetize those services at levels sufficient to recover our costs, competitive dynamics affecting pricing, and the pace of adoption of AI. Customers may reduce, delay, or shift AI workloads to competing platforms, on-premises or local deployments, or other alternatives. If adoption of our AI services develops more slowly than expected, or if customers do not continue to utilize Azure for AI workloads at anticipated levels, we may not realize the expected returns on our investments.