AI-driven technologies are rapidly evolving and complex, and successfully integrating AI tools requires substantial investment, expertise, and continuous monitoring. Our adoption and implementation of AI tools into our banking services, processes, and products presents significant technological risks, uncertainties, and unpredictable outcomes that could result from errors or biases in AI models, data inconsistencies, compliance violations, unforeseen system failures, or operational disruptions. Flaws in our introduction and use of AI technologies could create unintended consequences, amplify our costs, and inadvertently expose us to security vulnerabilities and technological inefficiencies that could hamper the customer experience, negatively impact transaction processing, and undermine our risk-management processes.
Furthermore, as the use of AI continues to evolve in the banking industry, so too will the AI-related regulations governing the banking and financial-services sectors. Regulators may impose new compliance requirements concerning AI governance, model validation, ethical use of AI, cybersecurity, data privacy, and automated decision-making, which may increase our costs and administrative burdens and restrict our ability to utilize AI for banking services, such as customer engagement, credit underwriting, fraud detection, and other banking functions. Our ability to adopt new forms of technologies and AI may be thwarted by the emergence of complex industry-wide standards, uncertainties in the legislative and regulatory environment governing AI in banking, and difficulties in establishing proper governance and controls related to new AI technologies that are compliant with evolving regulatory requirements. Incorporating AI solutions and complying with emerging regulatory frameworks may require significant resources, time, and technological investment. Additionally, any errors in AI-based models that generate biased or inaccurate results could cause us to make uninformed business decisions based on faulty data, potentially leading to financial losses and operational inefficiencies, and to face regulatory scrutiny, reputational damage, or legal liability. Failure to comply with AI-related regulations or to effectively manage AI-related risks could adversely affect our business, financial condition, and results of operations.