We are increasingly utilizing and building AI and ML capabilities into our business, as well as incorporating AI and ML into our internal operations. We expect AI and ML solutions and features to help drive future growth in our business, but there can be no assurance that we will realize the desired or anticipated benefits from AI and ML. If we are unable to keep up with the changing AI landscape or in developing services to meet our customers’ evolving AI needs, or if the AI landscape does not develop to the extent we or our customers expect, our business, operating results, financial condition and future prospects may be adversely impacted.
In addition, the rapid adoption of generative and agentic AI tools may change how software developers design, build and deploy applications, including through increased automation of coding, infrastructure configuration and application architecture. Because a significant portion of our strategy is focused on being the database platform of choice for developers, changes in developer workflows, tooling or decision-making processes resulting from the adoption of AI-enabled development tools could affect how developers select databases or other data platforms. If these evolving development patterns reduce developer engagement with, or preference for, our platform or favor alternative technologies or architectures, it could adversely affect demand for our products and services.
We may fail to properly implement or market our AI and ML solutions and features. Our competitors or other third parties may incorporate AI and ML into their products, offerings, and solutions more quickly or more successfully than us, which could impair our ability to compete effectively and adversely affect our results of operations. Our ability to effectively implement and market our AI and ML solutions and features will depend, in part, on our ability to attract and retain employees with AI and ML expertise, and we expect significant competition for professionals with the skills and technical knowledge that we will require.
In addition, we may incur significant costs and experience significant delays in developing new solutions and services or supporting or enhancing our product offerings to adapt to the changing AI and ML landscape, and we may not achieve a return on investment or capitalize on the opportunities presented by demand for AI and ML solutions. Moreover, while adoption of AI and ML is likely to continue and may accelerate, the long-term trajectory of this technological trend is uncertain. Further, market acceptance, understanding and valuation of solutions and services that incorporate AI and ML technologies is uncertain, and the perceived value of AI and ML technologies used and provided by our customers could be inaccurate. If AI and ML is not broadly adopted by enterprises to the extent we expect, or if new use cases do not arise, then our opportunity may be smaller than we expect. Such risks and challenges could undermine public confidence in AI and ML, which could slow or even halt their adoption and negatively affect our business. See “—Social, ethical, security and regulatory issues relating to the use of new and evolving technologies, such as AI and ML, in our offerings or partnerships may result in reputational harm and liability.”