We have built, and expect to continue to build, AI into many of our product and service offerings, and we expect this element of our business to grow. We envision a future in which responsible AI operating in our devices, applications, and the cloud, helps our customers be more productive in their business activities and interactions with consumers. As with many disruptive innovations, AI presents risks and challenges that could affect its adoption, and therefore our business. AI algorithms and models may be flawed. Datasets may be insufficient or contain information that is non-representative, infringing, or otherwise subject to legal challenge. Potential government regulation related to AI use may also foreclose certain areas of AI use, cause us to modify how we use AI, and increase the burden and cost of research and development in this area, and failure to properly remediate AI usage issues may cause public confidence in AI to be undermined, which could slow adoption of AI in our offerings. The rapid evolution of AI will require the application of resources to develop, test, and maintain our products and services to help ensure that AI is implemented in a manner to minimize unintended, harmful impact and to comply with applicable law. Furthermore, over the last year, there have been multiple class action lawsuits filed against large language model developers in the Northern District of California, the Southern District of New York, and the Middle District of Tennessee concerning alleged copyright and other intellectual property violations with respect to the information used to train AI models. The outcomes of these litigations may impair our ability to provide our AI technologies.