Item 1A

  

Issues in the development, deployment, and use of AI may result in reputational or competitive harm or liability . We are building AI into many of our offerings, including our productivity services, and we are also making AI available for our customers to use in solutions that they build. This AI may be developed by Microsoft or others, including our strategic partner, OpenAI. We expect these elements of our business to grow. We envision a future in which AI operating in devices, applications, and the cloud helps our customers be more productive in their work and personal lives. As with many innovations, AI presents risks and challenges that could affect its adoption, and therefore our business. AI algorithms or training methodologies may be flawed. Datasets may be overbroad, insufficient, or contain biased or inaccurate information. Content generated by AI systems may be offensive, illegal, inaccurate, or otherwise harmful. Ineffective or inadequate AI development or deployment practices by Microsoft or others could result in incidents that impair the acceptance of AI solutions, cause harm to individuals, customers, or society, or result in our products and services not working as intended. Human review of certain inputs and outputs may be required, including for agentic AI systems that can take actions autonomously. Our implementation of AI systems could result in legal liability, regulatory action, brand, reputational, or competitive harm, or other adverse impacts. These risks may stem from issues related to intellectual property, data privacy, and other claims associated with AI training and outputs. They are further compounded by the evolving regulatory landscape, with new laws emerging globally, including the European Union (“EU”). Some AI scenarios present ethical issues or may have broad impacts on society. There is also rising divergence globally in how to address these issues and impacts, with the result that we will need to navigate a web of different tensions across geographies. Finally, if we enable or offer AI solutions that have unintended consequences, unintended usage or customization by our customers and partners, are contrary to our responsible AI policies and practices, or are otherwise controversial because of the impact on human rights, privacy, employment, or other social, economic, or political issues, our reputation, competitive position, business, financial condition, and results of operations could be adversely affected.

OPERATIONAL RISKS

We may have excessive outages, data losses, and disruptions of our online services if we fail to maintain an adequate operations infrastructure.  Our increasing user traffic, growth in services, and the complexity of our products and services demand more computing power. We spend substantial amounts to build, purchase, or lease datacenters and equipment and to upgrade our technology and network infrastructure to handle more traffic on our websites and in our datacenters. Our datacenters depend on the availability of permitted and buildable land, predictable energy, networking supplies, and servers, including graphics processing units and other components. The cost or availability of these dependencies could be adversely affected by a variety of factors, including the transition to a clean energy economy, local and regional environmental regulations, and geopolitical disruptions. These demands continue to increase as we introduce new products and services and support the growth and the augmentation of existing services, including through the incorporation of AI features and/or functionality. We are rapidly growing our business of providing a platform and back-end hosting for services provided by third parties to their end users. Maintaining, securing, and expanding this infrastructure is expensive and complex, and requires development of principles for datacenter builds in geographies with higher safety and reliability risks. It requires that we maintain an Internet connectivity infrastructure and storage and compute capacity that is robust and reliable within competitive and regulatory constraints that continue to evolve. Inefficiencies or operational failures, including temporary or permanent loss of customer data, outages, insufficient Internet connectivity, insufficient or unavailable power or water supply, or inadequate storage and compute capacity could diminish the quality of our products, services, and user experience, resulting in contractual liability, claims by customers and other third parties, regulatory actions, damage to our reputation, and loss of current and potential users, subscribers, and advertisers, each of which could adversely affect our business, operations, financial condition, and results of operations.

We may experience supply or quality problems.  There are limited suppliers for certain device and datacenter components. We continue to identify and evaluate opportunities to expand our datacenter locations and increase our server capacity to meet the evolving needs of our customers, particularly given the growing demand for AI services. Capacity available to us may be affected as competitors use some of the same suppliers and materials for hardware components. If components are delayed or become unavailable, whether because of supplier capacity constraint, industry shortages, legal or regulatory changes that restrict supply sources, or other reasons, we may not obtain timely replacement supplies, resulting in reduced sales or inadequate datacenter capacity to support the delivery and continued development of our products and services. Component shortages, excess or obsolete inventory, or price reductions resulting in inventory adjustments may increase our cost of revenue. Datacenter servers, Xbox consoles, Surface devices, and other hardware are assembled in Asia and other geographies that may be subject to disruptions in the supply chain, resulting in shortages which could adversely affect our business, operations, financial condition, and results of operations.

  

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PART I