Lightbridge (LTBR) Risk Analysis

Other than as set forth below, there have been no material changes to our risk factors from the risk factors disclosed in our Annual Report on Form 10-K for the year ended December 31, 2024.AI and generative AI applications present risks and challenges that can impact our business. While we integrate AI and generative AI (collectively, AI) into our day-to-day operations and research and development efforts to enhance efficiency and effectiveness, rapid advancements in AI technologies pose a risk, including that the algorithms may be flawed, misused or otherwise function in an unexpected manner; data sets may be insufficient, of poor quality, or contain biased information; and inappropriate or controversial data practices by data scientists, engineers, and end-users could impair results. Issues in the use of AI, combined with an uncertain regulatory environment, may result in reputational harm, liability, or other adverse consequences to our business operations to the extent we rely on the use of AI. In addition to our own use of AI, our vendors may integrate AI into their products that we use without adequate notice to us. Vendors may not be able to comply with existing or rapidly evolving regulatory or industry standards for privacy and data protection, potentially exposing us to cybersecurity risk. If we, our vendors or third-party partners experience an actual or perceived breach or privacy or cybersecurity incident because of our, a vendor, or a third-party partner’s use of AI, it could lead to the loss of valuable intellectual property and confidential information. Such cybersecurity incidents could also harm our reputation and public perception of our security measures. Moreover, malicious actors worldwide increasingly employ sophisticated AI techniques to illegally obtain and misuse personal information, confidential data, and intellectual property. Any of these scenarios could result in reputational damage, loss of valuable assets, and adverse impacts on our business.