AKAM: 10-K Risk Factor Changes

Artificial intelligence presents new risks, opportunities and challenges that may affect our business. In addition to ongoing investments to integrate AI and machine learning technology into our existing products and solutions and to use AI to enhance our business operations, we recently launched AIC, a platform enabling AI inferencing at the edge of the internet, as a direct offering in the AI market. This introduces additional risks, as we now compete with established and emerging companies providing AI infrastructure and inference solutions. Given the nature of AI technology, we face significant competition from other companies and an evolving regulatory landscape. Our AI focused initiatives, including AIC, may not be successful, and our competitors may incorporate AI into their products or market their AI solutions more successfully than us, which could impair our ability to compete effectively and adversely affect our financial results. Further, the rapid evolution of AI combined with the uncertain, rapidly evolving and often inconsistent regulatory landscape may require significant additional resources and costs and could in some cases limit our ability to implement AI capabilities in our solutions or to use AI to support business operations. AI systems and third-party AI services that we use may also introduce operational resilience and stability risks that could disrupt our services or customers' workloads and adversely affect our business, reputation or financial results. Further, data used to train AI-based systems may lead to harm to our reputation or financial results. Use of AI that has been trained on open-source code repositories for code development, for instance, may increase intellectual property risks, as well as risks related to ingestion of malicious code. Despite our implementation of programs designed to support responsible and safe AI use and development, we may not successfully address all issues that may arise. For example, user misuse of AI capabilities, privacy concerns, user consent, supply chain security, AI-related export controls, transparency and the accuracy, completeness 20 20 20 Table of Contents Table of Contents and suitability of data sets are all potential issues that could adversely affect our business, reputation, or financial results.

Artificial intelligence ("AI"), presents new risks and challenges that may affect our business. We have made, and expect to continue to make investments to integrate AI and machine learning technology into our products and solutions. Given the nature of AI technology, we face significant competition from other companies and an evolving regulatory landscape. Our AI efforts may not be successful and our competitors may incorporate AI into their products more successfully than us, which could impair our ability to compete effectively and adversely affect our financial results. The rapid evolution of AI combined with the uncertain and often inconsistent regulatory landscape may require significant additional resources and costs and could in some cases limit our ability to implement AI capabilities in our solutions or to use AI to support business operations. Further, data used to train AI-based systems may lead to harm to our reputation. Despite our implementation of programs designed to support responsible AI use and development, we may not successfully address all issues that may arise. For example, privacy concerns, user consent, supply chain security, transparency and the accuracy, completeness and suitability of data sets are all potential issues that could adversely affect our business, reputation, or financial results.