We currently use certain AI tools and are continually evaluating additional applications of AI technologies to enhance productivity and operational efficiency across our business. These initiatives remain subject to uncertainties inherent in emerging technologies, including potential model inaccuracy, governance and cybersecurity vulnerabilities, and challenges in monitoring and validating AI data outputs. AI-driven tools may not perform as expected, require greater resources than anticipated, or may not be adopted by users as quickly as expected.
Our AI‑related activities also expose us to legal risks, as global regulatory frameworks—including U.S. federal and state initiatives, the European Union Artificial Intelligence Act, and other international laws—continue to evolve and impose new obligations concerning transparency, data governance, safety testing, human oversight, and vendor management. Compliance with these requirements could necessitate operational changes, delay deployments, increase costs, or limit our ability to use certain AI systems. Failure to successfully deploy AI technologies may result in missed innovation opportunities and competitive disadvantage.
There can be no assurance that AI systems will perform as expected, or that future market or regulatory developments will not materially delay our efforts or increase compliance burdens. Any of these outcomes could adversely affect our operations, strategic objectives, reputation, and financial results.