MongoDB Inc.: 10-K Risk Factor Changes

Our results of operations, including our revenue, operating expenses and cash flows may vary significantly in the future as a result of a variety of factors, many of which are outside of our control, may be difficult to predict and may or may not fully reflect the underlying performance of our business and period-to-period comparisons of our operating results may not be meaningful. Some of the factors that may cause our results of operations to fluctuate from quarter to quarter include: •changes in actual and anticipated growth rates of our revenue, customers and other key operating metrics; •new product announcements, pricing changes and other actions by competitors; •the mix of revenue and associated costs attributable to subscriptions for our Atlas and MongoDB Enterprise Advanced offerings (such as our non-cancelable multi-year cloud infrastructure capacity commitments, which require us to pay for such capacity irrespective of actual usage) and professional services, as such relative mix may impact our gross margins and operating income; 21 21 21 Table of Contents Table of Contents •the mix of revenue and associated costs attributable to sales where subscriptions are bundled with services versus sold on a standalone basis and sales by us and our partners; •our ability to attract new customers; •our ability to timely and effectively expand our sales and marketing capabilities and teams; •our ability to retain customers and expand their usage of our software, particularly for our largest customers; •our inability to enforce the AGPL or SSPL; •delays in closing sales, including the timing of renewals, which may result in revenue being pushed into the next quarter, particularly because a large portion of our sales occur toward the end of each quarter; •the timing of revenue recognition; •the mix of revenue attributable to larger transactions as opposed to smaller transactions; •changes in customers’ budgets and in the timing of their budgeting cycles and purchasing decisions; •changes in customers’ consumption of our platform; •customers and potential customers opting for alternative products, including developing their own in-house solutions, or opting to use only the free version of our products; •fluctuations in currency exchange rates; •our ability to control costs, including our operating expenses; •the timing and success of new products, features and services offered by us and our competitors or any other change in the competitive dynamics of our industry, including consolidation among competitors, customers or strategic partners; •significant security breaches or other security vulnerabilities, incidents, technical difficulties, or interruptions with respect to the delivery and use of our software; •our failure to maintain the level of service uptime and performance required by our customers; •the collectability of receivables from customers and resellers, which may be hindered or delayed if these customers or resellers experience financial distress; •changes in political and economic conditions, in domestic or international markets; •general economic conditions, both domestically and internationally, including warfare and terrorist attacks on the United States and other regions in which we or our customers operate, such as the conflict in Iran, the unrest in Mexico, the Russia-Ukraine conflict, the Israel-Hamas conflict and recent events in Venezuela, as well as economic conditions specifically affecting industries in which our customers participate; •sales tax and other tax determinations by authorities in the jurisdictions in which we conduct business; •timing, amount, and cost of our investments to expand the capacity of our public cloud providers; •the amount and timing of legal expenses, including settlements, judgments, fines, legal fees, and other charges associated with litigation, governmental investigations or inquiries, regulatory investigations or inquiries, or other legal proceedings; •the amount and timing of costs associated with hiring, training, and integrating new employees and retaining and motivating existing employees; •the effects and timing of acquisitions and their integration; •changes in regulatory or legal environments, including the interpretation or enforcement of regulatory or legal requirements, that may cause us to incur, among other things, expenses associated with compliance; 22 22 22 Table of Contents Table of Contents •the impact of new accounting pronouncements; and •fluctuations in stock-based compensation expense. The occurrence of one or more of the foregoing and other factors may cause our results of operations to vary significantly and be materially and adversely affected. For example, fluctuations in our quarterly operating results and the price of our common stock may be particularly pronounced in the current economic environment due to the ongoing geopolitical instability resulting from the conflict in Iran, the unrest in Mexico, the conflicts between Russia and Ukraine, Israel and Hamas and recent events in Venezuela, continued restrictive monetary policy in certain markets in which we operate, declines in consumer confidence, declines in economic growth, persistent inflation and uncertainty about economic stability. It is especially difficult to predict the impact of such events on the global economic markets, which have been and will continue to be highly dependent upon the actions of governments, businesses, and other enterprises in response to macroeconomic events, and the effectiveness of those actions. Any of these factors or any combination thereof could materially and adversely affect our business, results of operations and financial condition. We also intend to continue to invest to grow our business and to take advantage of our market opportunity. Accordingly, historical patterns and our results of operations in any one quarter may not be meaningful and should not be relied upon as indicative of future performance. Additionally, if our quarterly results of operations fall below the expectations of investors or securities analysts who follow our stock, the price of our common stock could decline substantially and we could face costly lawsuits, including securities class action suits. See the section titled “Legal Proceedings” included in Part I, Item 3 of this Annual Report on Form 10-K.

Our results of operations, including our revenue, operating expenses and cash flows may vary significantly in the future as a result of a variety of factors, many of which are outside of our control, may be difficult to predict and may or may not fully reflect the underlying performance of our business and period-to-period comparisons of our operating results may not be meaningful. Some of the factors that may cause our results of operations to fluctuate from quarter to quarter include: •changes in actual and anticipated growth rates of our revenue, customers and other key operating metrics; •new product announcements, pricing changes and other actions by competitors; •the mix of revenue and associated costs attributable to subscriptions for our MongoDB Atlas and MongoDB Enterprise Advanced offerings (such as our non-cancelable multi-year cloud infrastructure capacity commitments, which require us to pay for such capacity irrespective of actual usage) and professional services, as such relative mix may impact our gross margins and operating income; •the mix of revenue and associated costs attributable to sales where subscriptions are bundled with services versus sold on a standalone basis and sales by us and our partners; •our ability to attract new customers; •our ability to timely and effectively expand our sales and marketing capabilities and teams; •our ability to retain customers and expand their usage of our software, particularly for our largest customers; •our inability to enforce the AGPL or SSPL; •delays in closing sales, including the timing of renewals, which may result in revenue being pushed into the next quarter, particularly because a large portion of our sales occur toward the end of each quarter; •the timing of revenue recognition; •the mix of revenue attributable to larger transactions as opposed to smaller transactions; •changes in customers’ budgets and in the timing of their budgeting cycles and purchasing decisions; •changes in customers’ consumption of our platform; 21 21 21 Table of Contents Table of Contents •customers and potential customers opting for alternative products, including developing their own in-house solutions, or opting to use only the free version of our products; •fluctuations in currency exchange rates; •our ability to control costs, including our operating expenses; •the timing and success of new products, features and services offered by us and our competitors or any other change in the competitive dynamics of our industry, including consolidation among competitors, customers or strategic partners; •significant security breaches or other security incidents, technical difficulties, or interruptions with respect to the delivery and use of our software; •our failure to maintain the level of service uptime and performance required by our customers; •the collectability of receivables from customers and resellers, which may be hindered or delayed if these customers or resellers experience financial distress; •changes in political and economic conditions, in domestic or international markets; •general economic conditions, both domestically and internationally, including warfare and terrorist attacks on the United States and other regions in which we or our customers operate, such as the Russia-Ukraine conflict and the Israel-Hamas conflict, as well as economic conditions specifically affecting industries in which our customers participate; •sales tax and other tax determinations by authorities in the jurisdictions in which we conduct business; •the impact of new accounting pronouncements; and •fluctuations in stock-based compensation expense. The occurrence of one or more of the foregoing and other factors may cause our results of operations to vary significantly and be materially and adversely affected. For example, fluctuations in our quarterly operating results and the price of our common stock may be particularly pronounced in the current economic environment due to the ongoing geopolitical instability resulting from the conflicts between Russia and Ukraine and Israel and Hamas, severely diminished liquidity and credit availability, declines in consumer confidence, declines in economic growth, increases in unemployment rates, instability in the banking sector, increases in inflation rates, higher interest rates and uncertainty about economic stability. In response to the concerns over inflation risk, the U.S. Federal Reserve has raised interest rates multiple times, and signaled that they will continue to adjust interest rates to stabilize and reduce current levels of inflation. It is especially difficult to predict the impact of such events on the global economic markets, which have been and will continue to be highly dependent upon the actions of governments, businesses, and other enterprises in response to the pandemic and macroeconomic events, and the effectiveness of those actions. Any of these factors or any combination thereof could materially and adversely affect our business, results of operations and financial condition. For instance, among other factors, the adverse macroeconomic conditions resulted in slower than historical growth of our existing Atlas applications for the year ended January 31, 2025. We also intend to continue to invest to grow our business and to take advantage of our market opportunity. Accordingly, historical patterns and our results of operations in any one quarter may not be meaningful and should not be relied upon as indicative of future performance. Additionally, if our quarterly results of operations fall below the expectations of investors or securities analysts who follow our stock, the price of our common stock could decline substantially and we could face costly lawsuits, including securities class action suits.

We derive and expect to continue to derive more than the majority of our revenue from Atlas, our database-as-a-service offering, which is primarily recognized on a usage-basis. As such, market adoption and usage of Atlas is critical to our continued success. Although Atlas has seen rapid adoption since its commercial launch in June 2016, and though we intend to continue to direct a significant portion of our financial and operating resources to develop and grow Atlas, including offering a free tier of Atlas to generate developer usage and awareness, we cannot guarantee that rate of adoption will continue at the same pace or at all. Demand for Atlas is affected by a number of factors, many of which are beyond our control, including economic downturns, continued market acceptance by developers, the availability of our Community Server offering, the continued volume, variety and velocity of data that is generated, timing of development and release of new offerings by our competitors, technological change and the rate of growth in our market. If we are unable to continue to meet the demands of our customers and the developer community, our business operations, financial results and growth prospects will be materially and adversely affected. In addition, because our customers’ usage of Atlas may vary for a number of reasons, our visibility into the timing of revenue recognition is limited. There is a risk that customers will consume our Atlas offering more slowly than we expect, and our actual results may differ from our forecasts and our future revenue may be less predictable going forward due to, among other things, fluctuations in the rate of customer renewals and expansions and seasonality of, or fluctuations in, usage of Atlas.

We derive and expect to continue to derive more than the majority of our revenue from MongoDB Atlas, our database-as-a-service offering, which is primarily recognized on a usage-basis. As such, market adoption and usage of MongoDB Atlas is critical to our continued success. Although MongoDB Atlas has seen rapid adoption since its commercial launch in June 2016, and though we intend to continue to direct a significant portion of our financial and operating resources to develop and grow MongoDB Atlas, including offering a free tier of MongoDB Atlas to generate developer usage and awareness, we cannot guarantee that rate of adoption will continue at the same pace or at all. Demand for MongoDB Atlas is affected by a number of factors, many of which are beyond our control, including economic downturns, continued market acceptance by developers, the availability of our Community Server offering, the continued volume, variety and velocity of data that is generated, timing of development and release of new offerings by our competitors, technological change and the rate of growth in our market. For instance, among other factors, the adverse macroeconomic conditions resulted in slower than historical growth of our existing Atlas applications for the year ended January 31, 2025. If we are unable to continue to meet the demands of our customers and the developer community, our business operations, financial results and growth prospects will be materially and adversely affected. In addition, because our customers’ usage of MongoDB Atlas may vary for a 16 16 16 Table of Contents Table of Contents number of reasons, our visibility into the timing of revenue recognition is limited. There is a risk that customers will consume our MongoDB Atlas offering more slowly than we expect, and our actual results may differ from our forecasts and our future revenue may be less predictable going forward due to, among other things, fluctuations in the rate of customer renewals and expansions and seasonality of, or fluctuations in, usage of MongoDB Atlas.

As a result of our limited operating history at our current scale, our ability to forecast our future results of operations is limited and subject to a number of uncertainties, including our ability to accurately predict future growth. Our historical revenue growth has been inconsistent and should not be considered indicative of our future performance. Further, in future periods, our revenue growth could slow or our revenue could decline for a number of reasons, including slowing adoption or usage of MongoDB or demand for our subscription offerings and related services, reduced conversion of users of our free offerings to paying customers, increasing competition, changes to technology or our intellectual property or our failure, for any reason, to continue to capitalize on growth opportunities. We have also encountered and will encounter risks and uncertainties frequently experienced by growing companies in rapidly changing industries, such as the risks and uncertainties described herein. If our assumptions regarding these risks and uncertainties and our future revenue growth are incorrect or change, or if we do not address these risks successfully, our operating and financial results could differ materially from our expectations and our business could suffer.

We were incorporated in 2007 and introduced MongoDB Community Server in 2009, MongoDB Enterprise Advanced in 2013 and MongoDB Atlas in 2016. As a result of our limited operating history, our ability to forecast our future results of operations is limited and subject to a number of uncertainties, including our ability to accurately predict future growth. Our historical revenue growth has been inconsistent and should not be considered indicative of our future performance. Further, in future periods, our revenue growth could slow or our revenue could decline for a number of reasons, including slowing adoption or usage of MongoDB or demand for our subscription offerings and related services, reduced conversion of users of our free offerings to paying customers, increasing competition, changes to technology or our intellectual property or our failure, for any reason, to continue to capitalize on growth opportunities. We have also encountered and will encounter risks and uncertainties frequently experienced by growing companies in rapidly changing industries, such as the risks and uncertainties described herein. If our assumptions regarding these risks and uncertainties and our future revenue growth are incorrect or change, or if we do not address these risks successfully, our operating and financial results could differ materially from our expectations and our business could suffer.

Social, ethical, security and regulatory issues relating to the use of new and evolving technologies such as AI and ML, including generative AI and AI models, in our offerings, internal operations or partnerships, may result in reputational harm and liability, and may cause us to incur additional research and development costs to resolve such issues. The use of generative and agentic AI, relatively new and emerging technologies in the early stages of commercial use, exposes us to additional risks, such as damage to our reputation, competitive position, and business, legal and regulatory risks and additional costs. For example, generative AI has been known to produce false or “hallucinatory” inferences or output, and certain generative AI uses machine learning and predictive analytics, which can create inaccurate, incomplete, or misleading content, unintended biases, and other discriminatory or unexpected results, errors or inadequacies, any of which may not be easily detectable by us or any of our related service providers. As with many innovations, AI and ML presents risks and challenges that could affect its adoption, and therefore our business. Our offerings based on AI and ML may expose us to additional claims, demands and proceedings by private parties and regulatory authorities and subject us to legal liability as well as brand and reputational harm. If we enable or offer solutions that draw controversy due to their perceived or actual impact on society or if the content, analyses or recommendations that AI and ML-powered solutions assist in producing in our products and services are, or are perceived to be, deficient, insufficient, inaccurate, biased, unethical or otherwise flawed, we may experience brand or reputational harm, competitive harm or legal liability. Potential government regulation related to AI and ML use and ethics may also increase the burden and cost of research and development in this area, and failure to properly remediate AI and ML usage or ethics issues may cause public confidence in AI and ML to be undermined. The rapid evolution of AI and ML will require the application of resources to develop, test and maintain any potential offerings or partnerships to help ensure that AI and ML are implemented ethically in order to minimize unintended, harmful impact. In addition, the use of AI and ML may enhance intellectual property, cybersecurity, operational and technological risks. Examples of heightened cybersecurity threats emerging from the rise of generative AI include the use of deepfake technologies in phishing and social engineering attacks, and more sophisticated malware that can evade conventional detection tools. AI and ML also make it cheaper for attackers to create malware, phishing, code reviews, or other tools at a high volume. AI and ML may change the way our industry identifies and responds to cybersecurity threats, and businesses that are slow to adopt or fail to adopt such new technologies may face a competitive disadvantage. The use of AI also has resulted in, and may in the future result in, security breaches or other security incidents that implicate the personal data of users of AI-powered applications. If we experience security breaches or incidents in connection with our use of AI and ML, it could adversely affect our reputation and expose us to legal liability or regulatory risk. As the regulatory framework for AI, ML and related technologies evolves, it is possible that new laws and regulations will be adopted, or that existing laws and regulations, including intellectual property, privacy, data protection and cybersecurity, consumer protection, competition and equal opportunity laws and regulations, may be interpreted in ways that would affect our business and the ways in which we or our partners use AI, ML or related technologies, our financial condition and our results of operations, including as a result of the cost to comply with such laws or regulations. For example, if we or our third-party AI providers do not have sufficient rights to use the data or other material or content on which AI tools rely, or the output generated by our use of such AI tools, we may incur liability through the violation of such laws, third-party intellectual property, privacy or other rights, or contracts to which we are a party. Moreover, use of generative AI in our code development process, while offering various potential benefits, could also pose certain ownership and security risks with respect to our codebase, given the current legal uncertainties relating to ownership of AI- or ML-generated works and the potential for security flaws in output code. If any of our employees, contractors, vendors or service providers use any third-party AI-powered software in connection with our business or the services they provide to us, it may lead to the inadvertent disclosure of our confidential information, including inadvertent disclosure of our confidential information into publicly available third-party training sets, which may impact our ability to realize the benefit of, or adequately maintain, protect and enforce our intellectual property or confidential information, harming our competitive position and business. Our ability to mitigate risks associated with disclosure of our confidential information, including in connection with AI and ML-powered software, will depend on our implementation, maintenance, monitoring and enforcement of appropriate technical and administrative safeguards, policies and procedures governing the use of AI and ML in our business. Moreover, any content created by us using generative AI tools may not be subject to copyright protection which may adversely affect our intellectual property rights in, or ability to commercialize or use, any such content. In the United States, a number of civil lawsuits have been initiated related to the foregoing and other concerns, the outcome of any one of which 43 43 43 Table of Contents Table of Contents may, amongst other things, require us to limit the ways in which we use AI in our business. For example, the output produced by generative AI tools may include information subject to certain rights of publicity or privacy laws or constitute an unauthorized derivative work of the copyrighted material used in training the underlying AI model, any of which could also create a risk of liability for us, or adversely affect our business or operations. Our business, financial condition and results of operations may be adversely affected if content, recommendations, solutions or features or their development or deployment (including the collection, use, or other processing of data used to train or create such AI and ML solutions or features) are found to have or alleged to have infringed upon or misappropriated third-party intellectual property rights or violate applicable laws, regulations, or other actual or asserted legal obligations to which we are or may become subject. Further, potential government regulation related to AI and ML use and ethics may also increase the burden and cost of research and development in this area, and failure to properly remediate AI and ML usage or ethics issues may cause public confidence in AI and ML to be undermined, which could slow adoption of AI and ML in our products and services. For example, the European Union’s Artificial Intelligence Act (the “EU AI Act”) entered into force on August 1, 2024, with the first set of provisions taking effect on February 2, 2025. The EU AI Act establishes, among other things, a risk-based governance framework for regulating AI systems operating in the EU. This framework categorizes AI systems, based on the risks associated with such AI systems’ intended purposes, as creating unacceptable or high risks, with all other AI systems being considered low risk. The EU AI Act prohibits certain uses of AI systems and places numerous obligations on providers and deployers of permitted AI systems, with heightened requirements based on AI systems that are general purpose, which we currently have, or considered high risk. In addition, a patchwork of state-level AI-related legislation continues to emerge in the United States. We may not be able to anticipate how to respond to these rapidly evolving frameworks, and we may need to expend resources to adjust our operations or offerings in certain jurisdictions if the legal frameworks are inconsistent across jurisdictions. Furthermore, because AI and ML technology itself is highly 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 and ML. These and other developments may require us to make significant changes to our use of AI and ML, including by limiting or restricting our use of AI and ML, which may require us to make significant changes to our policies and practices. The cost to comply with such laws or regulations could be significant and would increase our operating expenses, which could adversely affect our business, financial condition and results of operations. As the utilization of AI and ML becomes more prevalent, we anticipate that it will continue to present new or unanticipated ethical, reputational, technical, operational, legal, competitive and regulatory issues, among others. We expect that our incorporation of AI and ML in our business will require additional resources, including the incurrence of additional costs, to develop and maintain our products and solutions and features to minimize potentially harmful or unintended consequences, to comply with applicable and emerging laws and regulations, to maintain or extend our competitive position, and to address any ethical, reputational, technical, operational, legal, competitive or regulatory issues which may arise as a result of any of the foregoing. As a result, the challenges presented with our use of AI and ML could adversely affect our business, financial condition and results of operations.

Social, ethical, security and regulatory issues relating to the use of new and evolving technologies such as AI, including generative AI, in our offerings or partnerships, may result in reputational harm and liability, and may cause us to incur additional research and development costs to resolve such issues. As with many innovations, AI presents risks and challenges that could affect its adoption, and therefore our business. No assurance can be provided that our use of AI will enhance our products or services or produce the intended results. For example, AI algorithms may be flawed, insufficient, of poor quality, reflect unwanted forms of bias, or contain other errors or inadequacies, any of which may not be easily detectable and AI, particularly generative AI, has been known to produce false or “hallucinatory” inferences or outputs. If we enable or offer solutions that draw controversy due to their perceived or actual impact on society or if the content, analyses or recommendations that AI-powered solutions assist in producing in our products and services are, or are perceived to be, deficient, inaccurate, biased, unethical or otherwise flawed, we may experience brand or reputational harm, competitive harm or legal liability. Potential government regulation related to AI use and ethics may also increase the burden and cost of research and development in this area, and failure to properly remediate AI usage or ethics issues may cause public confidence in AI to be undermined. AI and machine learning may change the way our industry identifies and responds to cybersecurity threats, and businesses that are slow to adopt or fail to adopt such new technologies may face a competitive disadvantage. Our competitors or other third parties may incorporate AI into their products more quickly or more successfully than us, which could impair our ability to compete effectively. The rapid evolution of AI will require the application of resources to develop, test and maintain any potential offerings or partnerships to help ensure that AI is implemented ethically in order to minimize unintended, harmful impact. In addition, the use of AI may enhance intellectual property, cybersecurity, operational and technological risks. Examples of heightened cybersecurity threats emerging from the rise of generative AI include the use of deepfake technologies in phishing and social engineering attacks, and more sophisticated malware that can evade conventional detection tools. AI also makes it cheaper for attackers to create malware, phishing, code reviews, or other tools at a high volume. As the regulatory framework for AI and related technologies evolves, it is possible that new laws and regulations will be adopted, or that existing laws and regulations, including intellectual property, privacy, data protection and cybersecurity, consumer protection, competition and equal opportunity laws and regulations, may be interpreted in ways that would affect our business and the ways in which we or our partners use AI or related technologies, our financial condition and our results of operations, including as a result of the cost to comply with such laws or regulations. For example, if we or our third-party AI providers do not have sufficient rights to use the data or other material or content on which AI tools rely, or the output generated by our use of such AI tools, we may incur liability through the violation of such laws, third-party intellectual property, privacy or other rights, or contracts to which we are a party. Moreover, use of generative AI in our code development process, while offering various potential benefits, could also pose certain ownership and security risks with respect to our codebase, given the current legal uncertainties relating to ownership of AI-generated works and the potential for security flaws in output code. If any of our employees, contractors, vendors or service providers use any third-party AI- 42 42 42 Table of Contents Table of Contents powered software in connection with our business or the services they provide to us, it may lead to the inadvertent disclosure of our confidential information, including inadvertent disclosure of our confidential information into publicly available third-party training sets, which may impact our ability to realize the benefit of, or adequately maintain, protect and enforce our intellectual property or confidential information, harming our competitive position and business. Our ability to mitigate risks associated with disclosure of our confidential information, including in connection with AI-powered software, will depend on our implementation, maintenance, monitoring and enforcement of appropriate technical and administrative safeguards, policies and procedures governing the use of AI in our business. Moreover, any content created by us using generative AI tools may not be subject to copyright protection which may adversely affect our intellectual property rights in, or ability to commercialize or use, any such content. In the United States, a number of civil lawsuits have been initiated related to the foregoing and other concerns, the outcome of any one of which may, amongst other things, require us to limit the ways in which we use AI in our business. For example, the output produced by generative AI tools may include information subject to certain rights of publicity or privacy laws or constitute an unauthorized derivative work of the copyrighted material used in training the underlying AI model, any of which could also create a risk of liability for us, or adversely affect our business or operations. In addition, the use of AI has resulted in, and may in the future result in, security breaches or other security incidents that implicate the personal data of users of AI-powered applications. If we experience security breaches or incidents in connection with our use of AI, it could adversely affect our reputation and expose us to legal liability or regulatory risk. Further, potential government regulation related to AI use and ethics may also increase the burden and cost of research and development in this area, and failure to properly remediate AI usage or ethics issues may cause public confidence in AI to be undermined, which could slow adoption of AI in our products and services. For example, the EU AI Act was published in the Official Journal of the EU on July 12, 2024 and entered into force on August 1, 2024. The EU AI Act establishes, among other things, a risk-based governance framework for regulating AI systems operating in the EU. This framework categorizes AI systems, based on the risks associated with such AI systems’ intended purposes, as creating unacceptable or high risks, with all other AI systems being considered low risk. The EU AI Act prohibits certain uses of AI systems and places numerous obligations on providers and deployers of permitted AI systems, with heightened requirements based on AI systems that are considered high risk. We may not be able to anticipate how to respond to these rapidly evolving frameworks, and we may need to expend resources to adjust our operations or offerings in certain jurisdictions if the legal frameworks are inconsistent across jurisdictions. Furthermore, because AI technology itself is highly 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. The cost to comply with such laws or regulations could be significant and would increase our operating expenses, which could adversely affect our business, financial condition and results of operations. As the utilization of AI becomes more prevalent, we anticipate that it will continue to present new or unanticipated ethical, reputational, technical, operational, legal, competitive and regulatory issues, among others. We expect that our incorporation of AI in our business will require additional resources, including the incurrence of additional costs, to develop and maintain our products and solutions and features to minimize potentially harmful or unintended consequences, to comply with applicable and emerging laws and regulations, to maintain or extend our competitive position, and to address any ethical, reputational, technical, operational, legal, competitive or regulatory issues which may arise as a result of any of the foregoing. As a result, the challenges presented with our use of AI could adversely affect our business, financial condition and results of operations.