Myseum.AI, Inc.

Risk factors that affect our business and financial results are discussed in Part I, Item 1A “Risk Factors,” in our Annual Report on Form 10-K for the year ended December 31, 2025 as filed with the SEC on March 30, 2026 (“Annual Report”). Except as set forth below, there have been no material changes in our risk factors from those previously disclosed in our Annual Report. You should carefully consider the risks described in our Annual Report, which could materially affect our business, financial condition or future results. The risks described in our Annual Report are not the only risks we face. Additional risks and uncertainties not currently known to us or that we currently deem to be immaterial also may materially adversely affect our business, financial condition, and/or operating results. If any of the risks actually occur, our business, financial condition, and/or results of operations could be negatively affected.

We use artificial intelligence in our business processes, and this innovation presents risks and challenges that could affect its adoption, and therefore our business. The use of AI presents risks and challenges that could adversely affect our business and reputation, including cybersecurity, data privacy, IT, confidentiality, regulatory, legal, operational, competitive, reputational, intellectual property and other risks. Specifically, risks related to accuracy, bias, AI hallucinations, discrimination, harmful content, misinformation, fraud, scams, targeted attacks (including model poisoning or data poisoning), surveillance, data leakage, bias and inequality, environmental and other harms may flow from our development or use of AI technologies. For example, use of certain AI tools may increase the risk of unauthorized disclosure of confidential information, compromise of proprietary intellectual property, or inadvertent inclusion of third-party intellectual property or other protected material, which could result in disputes or claims of infringement.

Additionally, government and supranational regulation related to AI is evolving as new laws and regulations are implemented globally and could increase the operational cost of compliance, including through requirements related to transparency, accountability, risk management, human oversight, and data governance. We expect to see increasing regulation related to AI governance, use and ethics, which may also significantly increase the burden and cost of research, development and compliance in this area. For example, the EU’s Artificial Intelligence Act (“AI Act”) - the world’s first comprehensive AI law -entered into force on August 1, 2024, with most important provisions scheduled to become effective in August 2026. As currently enacted, the AI Act imposes significant obligations on providers and deployers of high-risk AI systems and general purpose AI models, and encourages providers and deployers of AI systems to account for EU ethical principles when developing and using AI technology. The scope of requirements depends on legal and risk determinations that rely on novel legal provisions that have not yet been fully interpreted by courts or regulators, and non-compliance can lead to significant fines.

In the U.S., the regulatory environment is complex and uncertain. Over the past year, states have advanced, and in some cases passed, dozens of laws focusing on AI governance and regulation, including deployment of AI in healthcare settings. At the Federal level, the current executive administration has endorsed a federal moratorium on the enforcement of state AI laws, including through a December 11, 2025, executive order on “Ensuring a National Policy Framework for Artificial Intelligence.” So far, these efforts have not been successful at curtailing state action on AI regulation, contributing to a complicated legislative patchwork, which may be litigated in state and federal courts. In addition, there is continued uncertainty regarding the application of existing federal and state legal frameworks to uses and development of AI, and legal norms and market standards regarding AI continue to evolve. For example, various federal and state regulators have issued guidance and focused enforcement efforts on the use of AI in regulated sectors. If we develop or use AI systems that are governed by these laws or regulations, including as informed by regulatory guidance, we will need to meet higher standards of data quality, transparency, and human oversight, and we would need to adhere to specific, potentially burdensome and costly ethical, accountability, and administrative requirements. We may also be subject to significant enforcement or litigation in the event of any perceived non-compliance.

The rapid evolution of AI will require the application of significant resources to design, develop, test and maintain our products and services to help ensure that AI is implemented in accordance with applicable law and regulation and in a socially responsible manner and to minimize any real or perceived unintended harmful impacts. Our vendors may in turn incorporate AI tools into their offerings, and the providers of these AI tools may not meet existing or rapidly evolving regulatory or industry standards, including with respect to privacy and data security. Further, bad actors around the world use increasingly sophisticated methods, including the use of AI, to engage in illegal activities involving theft and misuse of personal information, confidential information and intellectual property. In addition, the use of generative AI models in our internal or third-party systems may create new attack surfaces or methods for adversaries, which could impact us and our vendors. Any of these effects could damage our reputation, result in the loss of valuable property and information, cause us to breach applicable laws and regulations, and adversely impact our business, financial condition and results of operation.