We currently incorporate, and expect to continue to incorporate, AI technologies, including generative AI, into our products and operations, and these uses of AI may become significantly more important over time. There are significant and evolving risks involved in utilizing AI, and there is no assurance that our usage of AI will help our products and operations become more effective, efficient or profitable, or otherwise achieve our intended outcomes. Our use of AI will require additional resources and costs to develop and maintain products, comply with emerging regulations, address ethical and reputational considerations, and manage technical, operational and competitive risks.
Competitors and new market entrants may use AI to develop products that compete with our offerings at lower price points, with faster time-to-market or with additional or better capabilities, which could impair our ability to compete effectively and put pressure on our revenues and subscriptions. Additionally, AI-enabled tools may allow clients, including asset managers, asset owners, banks, hedge funds and others, to develop in-house capabilities to replace our products such as custom indexes, risk analytics, and sustainability and climate data. Large-scale data scraping and generative AI models trained on publicly available information could also diminish the perceived uniqueness and commercial value of our proprietary content. Further, third-party AI tools and model providers may change their model behavior, pricing or terms, which could adversely affect our offerings, increase our costs or disrupt our operations.
The models underlying our use of AI technologies may be incorrectly or inadequately designed or implemented. If the content, analyses, or recommendations produced by AI are, or are perceived to be, biased, inaccurate, misleading, of poor quality, unethical or otherwise deficient or flawed, any of which may not be easily detectable or may be exacerbated when AI systems operate with greater autonomy, our business may be adversely affected. AI technologies, including generative AI, can produce outputs that appear authoritative but contain factual errors, “hallucinations,” or unintended biases. If AI-generated content in our products contains such errors, we could face client losses, reputational damage and potential legal liability. Failure to maintain appropriate oversight, governance frameworks, testing, documentation and monitoring could exacerbate these risks.
The use of AI may involve third-party information with unclear intellectual property rights or interests. If we do not have sufficient rights to use the data or other material or content that AI technologies utilize or generate, we may incur liability through the violation of applicable laws and regulations, third-party intellectual property, privacy or other rights or contracts to which we are a party. In addition, intellectual property ownership rights, including copyright, of generative and other AI output, have not been fully interpreted by courts or regulations. The use of AI by us or by others may also result in, and increase our exposure to, cyber-attacks or other security incidents, including those that involve confidential or personal information (e.g., proprietary, third-party, employee or client information). The use of AI by our employees, contractors or partners could also result in the inadvertent disclosure of confidential or personal information, risking our intellectual property rights, competitive position and reputation.
We have adopted principles and governance frameworks designed to support responsible use, data protection and risk management, but these may prove insufficient to prevent harmful outcomes or may not keep pace with the rapid evolution of AI capabilities and risks.
AI technologies are subject to an evolving and fragmented legal and regulatory landscape. Laws and regulations applicable to AI, including intellectual property, data privacy and security, consumer protection, competition and equal opportunity laws, continue to develop and may be inconsistent from jurisdiction to jurisdiction. Because AI is complex and rapidly developing, it is not possible to predict all of the legal, operational or technological risks that may arise relating to the use of AI. These risks include the possibility of enhanced governmental or regulatory scrutiny, litigation or other legal liability, compliance issues, ethical concerns, negative consumer perceptions, confidentiality or security risks, supply-chain and cost risks related to AI infrastructure and models, as well as other factors. Any of these issues could materially adversely affect our business, financial condition or results of operations.