Artificial intelligence

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Attacks upon systems across a variety of industries, including industries related to digital assets, are increasing in frequency, persistence, and sophistication, and, in many cases, are being conducted by sophisticated, well-funded and organized groups and individuals, including state actors. Emerging risks, such as AI-driven cyberattacks and the potential for quantum computing, could introduce new vulnerabilities in our systems, potentially rendering traditional cryptographic techniques less effective and exposing us to more sophisticated forms of cyberattacks. The techniques used to obtain unauthorized, improper or illegal access to systems and information (including personal data and digital assets), disable or degrade services, or sabotage systems are constantly evolving, may be difficult to detect quickly, and often are not recognized or detected until after they have been launched against a target. Novel methods, such as those utilizing AI or quantum computing, may be even more difficult to detect and defend against. These attacks may occur on our systems or those of our third-party service providers or partners. We may experience breaches of our security measures due to human error, malfeasance, insider threats, system errors or vulnerabilities or other irregularities. In particular, unauthorized parties have attempted, and we expect that they will continue to attempt, to gain access to our systems and facilities, as well as those of our partners and third-party service providers, through various means, such as hacking, social engineering, phishing and fraud. Threats can come from a variety of sources, including criminal hackers, hacktivists, state-sponsored intrusions, industrial espionage, and insiders. In addition, certain types of attacks could harm us even if our systems are left undisturbed. For example, certain threats are designed to remain dormant or undetectable, sometimes for extended periods of time, or until launched against a target and we may not be able to implement adequate preventative measures. Further, there has been an increase in such activities due to the increase in work-from-home arrangements since the onset of the COVID-19 pandemic. The risk of cyberattacks could also be increased by cyberwarfare in connection with geopolitical conflicts, such as the ongoing Russia-Ukraine conflict, including potential proliferation of malware into systems unrelated to such conflicts. As of the date of this Annual Report, neither we nor any of our service providers has experienced a security breach or cyberattack that has materially impacted our digital asset holdings, financial condition or operating results; however, any future breach of our operations or those of our service providers or others in the digital asset industry could materially and adversely affect our business.

Read in the 10-K filed Feb 27, 2026 ↗

Cyber-attacks continue to evolve in sophistication, frequency and volume, including as threat actors exploit generative and agentic AI to discover and exploit vulnerabilities at unprecedented speed and scale, and may be difficult to detect for long periods of time. Our protective measures, and those of the third parties to which we are connected, may not be effective, and a failure by our clients or third-party providers to notify us of an incident in a timely manner could delay our response and increase the resulting harm. As a result, we may not be able to anticipate, prevent or detect all attacks, and we are exposed to heightened risks of cyber-attacks or other security incidents. In addition, future advances in computing, including quantum computing, could weaken or render obsolete the encryption and other security measures on which we and our third parties rely, including through the potential future decryption of data captured today.

Read in the 10-K filed Oct 20, 2026 ↗

Our business, and in particular our growth and our increasing use of AI, depends on access to data center capacity, power and computing resources, including specialized hardware, whether provided through our own facilities or, increasingly, through third-party cloud and data center providers. Demand for these resources has grown rapidly across the industry, driven in significant part by AI, and has contributed to constrained availability and rising costs. As our needs increase, we may be unable to procure sufficient capacity, power or computing resources when needed, in the locations we require, or on commercially acceptable terms, and we may face increased costs, delays in deploying new products and capabilities, or constraints on our ability to scale. Any of the foregoing could adversely affect our operations, margins and our ability to execute our strategy, and could have a material adverse effect on our business, financial condition or results of operations.

Read in the 10-K filed Oct 20, 2026 ↗

design, deploy and operate common, globally consistent AI systems, products and controls, and may require us to develop jurisdiction-specific approaches, restrict or delay the availability of certain AI capabilities in certain jurisdictions, or incur significant compliance costs. Because AI technology 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 our use of AI. Any of these issues could materially adversely affect our business, financial condition or results of operations.

Read in the 10-K filed Oct 20, 2026 ↗

AI technologies used in our products and processes may use or incorporate data from third-party sources, including information they input into the AI tools, which may expose us to risks associated with data rights and protection, such as risks associated with infringing, misappropriating or otherwise violating others’ intellectual property rights, and we may also be unable to protect our data from unintended use or access by third-party AI systems. Our ability to develop, commercialize and scale AI-enabled products and services depends in significant part on our ability to obtain and maintain sufficient rights to use data, including our own proprietary data, data licensed from third-party suppliers, and data contributed by or relating to our clients, for the training, fine-tuning, grounding, retrieval and output-generation functions of AI models and applications. If we are unable to secure data rights on commercially reasonable terms and at the scale required, we may be unable to fully realize the anticipated benefits of, or generate the expected revenues from, our investments in AI, our AI-enabled offerings may be delayed, constrained or rendered less competitive, and we may be exposed to claims of infringement, misappropriation or breach of contract, any of which could have a material adverse effect on our business, financial condition or results of operations.

Read in the 10-K filed Oct 20, 2026 ↗

Inadequate or inconsistent governance of our internal use of AI could expose us to security, operational, legal and reputational risks

Read in the 10-K filed Oct 20, 2026 ↗

We are rapidly expanding the use of AI technologies, including generative and agentic AI, across our products, internal systems and business processes. The pace of adoption may outpace the maturity of our governance, controls and oversight. If AI tools are adopted inconsistently or in a decentralized manner across our business, or are used outside of our established governance frameworks and approved environments, we may be exposed to increased operational, security, legal, regulatory and reputational risk.

Read in the 10-K filed Oct 20, 2026 ↗

The introduction of agentic AI, which can take autonomous actions across systems, may create new attack surfaces and novel security vulnerabilities that our existing controls were not designed to address. Our policies, controls and monitoring may not keep pace with the rapid evolution of these technologies or with emerging legal and regulatory requirements. Any failure to establish and enforce effective AI governance could result in security incidents, regulatory scrutiny or enforcement, litigation, harm to our reputation and client relationships, and could otherwise have a material adverse effect on our business, financial condition or results of operations.

Read in the 10-K filed Oct 20, 2026 ↗

We are undertaking a number of significant organizational, operational and strategic transformation initiatives, including changes to our organizational structure, reporting lines, leadership, product development organization, go-to-market approach, pricing models, and technology and data operations, as well as ongoing investment in AI. These initiatives are complex, are being pursued concurrently, and place substantial demands on management attention and on our workforce. In fiscal 2026, we appointed a new Chief Executive Officer, Chief Financial Officer, Chief People and Workforce Transformation Officer and Chief Technology Officer, among other leadership changes. Significant management transitions of this kind, particularly when they occur concurrently and alongside broader organizational change, involve inherent risk. Such transitions can be disruptive, may result in the loss of institutional or technical knowledge, may affect strategic continuity, execution and decision-making, and may take time to yield their intended benefits. Undertaking too many changes simultaneously, or failing to sequence, resource, prioritize or communicate them effectively, could overwhelm our capacity to execute, disrupt our ongoing business operations, degrade product quality, delivery or client service, and divert resources from revenue-generating activities.

Read in the 10-K filed Oct 20, 2026 ↗

Advances in AI may enable our clients and other third parties to build their own solutions and may reduce demand for our products and services

Read in the 10-K filed Oct 20, 2026 ↗

A significant portion of the value we provide derives from the interfaces, applications, workflows, analytics and connectivity through which we deliver data and functionality to our clients. Advances in generative and agentic AI can lower the cost, time and technical expertise required to aggregate and analyze data and to build software, and may make it increasingly feasible for our clients and other third parties to develop their own tools, interfaces and workflows, or to rely on lower-cost or more generalized AI applications, in place of our offerings. This risk may be accelerated by the growing adoption of standards and protocols that make it easier to connect data and AI models directly, potentially reducing the role of, or demand for, the application and delivery layers on which a substantial part of our business depends.

Read in the 10-K filed Oct 20, 2026 ↗

If clients choose to build or adopt such alternatives, they may reduce or discontinue their use of our products and services, or pressure us to change our pricing or the way we package and deliver our offerings. In addition, to the extent we make our data and capabilities more openly accessible through APIs, AI interfaces or other protocols in order to remain competitive and meet client demand, we may facilitate this substitution or make it more difficult to capture the full value of our offerings. Our efforts to adapt our products, delivery models and pricing in response to these developments may not be successful or timely, and any of the foregoing could reduce demand for our products and services and have a material adverse effect on our business, financial condition or results of operations.

Read in the 10-K filed Oct 20, 2026 ↗

We believe AI is quickly reshaping the advertising industry, including how ads are delivered online, and we and our competitors are constantly adjusting to meet this shift and provide new and evolving advertising formats. There is no assurance that we will adapt effectively and competitively to meet this shift, and that such advertising formats, strategies, and offerings will be successful.

Read in the 10-K filed Feb 5, 2026 ↗

To meet the compute capacity demands of AI training and inference, as well as traditional cloud computing services, we are entering into significant leasing arrangements with third party operators, which may increase costs and operational complexity. We also have a number of large, long-duration commercial agreements, which could increase our liabilities and obligations in the event of nonperformance by us, our counterparties, or vendors. In such nonperformance or an industry downturn, we may incur additional liabilities, have excess capacity that we cannot easily redeploy, and not receive payments from our counterparties or customers.

Read in the 10-K filed Feb 5, 2026 ↗

Our ability to scale our technical infrastructure is increasingly constrained by the availability of power, water, and land. For example, energy supply is constrained globally due to the significant increase in demand for and limited availability of energy to power AI compute. Securing this capacity involves entering into complex, long-lead-time arrangements. Additionally, manufacturing and supply of servers and network equipment for our technical infrastructure, particularly for specialized AI chips, is limited to a small number of qualified suppliers. Extended or unforeseen disruptions at these suppliers could impact our ability to meet customer demand. Failure to secure sufficient capacity in a timely manner would limit our ability to train models and serve Cloud customers.

Read in the 10-K filed Feb 5, 2026 ↗

data, may adversely affect our ability to develop and use AI or subject us to legal liability. In addition, AI may not develop in accordance with our expectations, and market acceptance of features, products, or services we build is uncertain. We regularly evaluate our product roadmaps and make significant changes as our understanding of the technological challenges and market landscape of AI, as well as our product ideas and designs, continue to evolve. As a result of these or other factors, our AI strategy and investments may not be successful in the foreseeable future, or at all, which could adversely affect our business, reputation, or financial results.

Read in the 10-K filed Jan 29, 2026 ↗

efforts will be successful. Our business and operations span numerous geographies around the world and involve thousands of employees, contractors, vendors, developers, partners, and other third parties, including AI and cloud services. At any given time, we face known and unknown cybersecurity risks and threats that are not fully mitigated, and we discover vulnerabilities in our security efforts.

Read in the 10-K filed Jan 29, 2026 ↗