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In the fourth quarter of 2023, we initiated WhiteFiber AI, a new business line to provide cloud services to support generative AI workstreams. The Company commenced the cloud services in January 2024.

As part of WhiteFiber’s growth strategy, it seeks to attract and acquire customers requiring high-performance computing, such as AI, machine learning, and automated decision-making technologies, including proprietary AI algorithms and models (collectively, “AI Technologies”).

MARA is an energy and digital infrastructure company that leverages Bitcoin mining and artificial intelligence (“AI”) compute to monetize excess energy and underutilized power and optimize power management across its operations. We are focused on two key priorities: strategically growing …

Bitcoin mining and AI inference require significant energy consumption, and our operations could be negatively impacted by government regulations or taxes specifically targeting energy usage in digital asset mining, AI or HPC. Federal, state or local authorities may impose restrictions …

Any potential use of emerging technologies like AI, machine learning and generative artificial intelligence could lead to unintended consequences and result in reputational harm and litigation.

We continue to evaluate emerging technologies like AI, machine learning and generative AI for incorporation into our business. State and federal regulations relating to these emerging technologies are quickly evolving, and should we adopt such technologies, we may require significant …

AI and related industries are under increasing scrutiny from regulators due to their concerns about market concentration, anti-competitive practices, and the pace of partnerships and acquisitions involving generative AI startups. As the AI industry continues to grow, transactions and …

… Following the EU AI Act, Colorado passed a Consumer Protections for Artificial Intelligence bill introducing state-level oversight of “high-risk” AI systems, which mirrors language and several provisions appearing in the EU AI Act. In the U.S., there …

Recent developments in the cyber threat landscape include use of AI and machine learning, as well as an increased number of cyber extortion and ransomware attacks, with the potential for higher ransom demand amounts and increasing sophistication, using a variety …

… These services support customers operating compute, storage, and network workloads across traditional enterprise, B2B, machine learning, visual effects, and AI. Our CPU infrastructure offering is delivered in Mississauga, Ontario; Vaughan, Ontario; Kelowna, British Columbia; and two locations in Vancouver, British …

customers to support workloads for machine learning and artificial intelligence.

• rapid innovation and technological disruption in cloud computing, machine learning and artificial intelligence decrease

The increasing focus on the risks and strategic importance of certain AI services, such as AI cloud services, and AI or machine learning technologies, has already resulted in regulatory restrictions that target products and services capable of enabling or facilitating …

There are growing concerns about the ethical implications and potential misuse of the growing AI technologies and the AI landscape is facing challenges and uncertainties. The development of more advanced AI systems, such as large language models and generative AI …

Integral to the Strategy portfolio are generative AI capabilities that are designed to automate and accelerate the deployment of AI-enabled applications across the enterprise. By making advanced analytics accessible through conversational AI, we provide non-technical users with timely, actionable insights for decision-making.

Integral to the Strategy portfolio are generative AI capabilities that are designed to automate and accelerate the deployment of AI-enabled applications across the enterprise. By making advanced analytics accessible through conversational AI, we provide non-technical users with timely, actionable insights for decision-making.

We are a vertically integrated owner, developer, and operator of digital infrastructure assets in the United States, purpose-built to support HPC workloads, including AI, machine learning, and advanced cloud applications.

… These datacenters are optimized for high-value applications such as cloud computing, machine learning, and artificial intelligence. We are actively seeking opportunities to expand into these areas using our knowledge, expertise, and existing infrastructure wherever favorable market opportunities arise.

… A notable emerging trend is the convergence of bitcoin mining operations with large scale data center services, including those supporting AI/HPC workloads. As demand for data center infrastructure accelerates, driven by advances in machine learning, generative AI, and compute …

Our expanding data center operations, including those supporting AI and HPC applications, may also be subject to new or evolving regulatory frameworks.

… These models are trained primarily on internal datasets, including user transaction history, account activity, and customer service interactions, and operate under data governance protocols that prohibit the use of sensitive or personally identifiable information in generative AI applications. We also …

We currently use machine learning and AI, both proprietary and third-party technologies, to support our products, processes, and internal operations and have plans to expand our use of AI in the future. For example, we

• development in mathematics, technology, including in digital computing, artificial intelligence, algebraic

Public AI failures, inadequate AI governance, recordkeeping or auditability failures, data privacy violations, intellectual

As the regulatory framework for blockchain technology, machine learning technology, artificial intelligence and online platforms evolves, our business, financial condition, and results of operations may be adversely affected. The regulatory framework for blockchain technology, machine learning technology, artificial intelligence, and …

Our use of blockchain technology, artificial intelligence, machine learning and other similar tools could adversely affect our products and services, harm our reputation, or cause us to incur liability resulting from harm to individuals or violation of laws and regulations or contracts to which we are a party.

• The United States government is considering regulating artificial intelligence and machine learning, and legislation regulating certain aspects of artificial intelligence and machine learning has been proposed, and in certain cases adopted, in U.S. states.

Furthermore, laws relating to privacy, data protection and cybersecurity, including with respect to the use of data in connection with artificial intelligence and machine learning, are rapidly evolving, extensive, complex and include inconsistencies and uncertainties. Examples of recent and anticipated developments that have or could impact our business include the following:

SOL is subject to technological obsolescence, including competition from emerging blockchain and artificial intelligence protocols.

• regulatory or legal developments in the United States and other countries related to digital assets, blockchain and AI;

Additionally, TMTG expects an increase in the regulation of the use of AI and ML in products and services. For example, in Europe, the proposed Artificial Intelligence Act (“AI Act”), once adopted, could impose onerous obligations related to the development, placing on the market and use of AI-related systems. TMTG may have to change TMTG’s business practices to comply with obligations under these or other new and evolving regimes.

… Using human moderators and an artificial intelligence vendor known as HIVE, Truth Social has developed what TMTG believes is a robust, fair, and viewpoint-neutral moderation system and that its moderation practices are consistent with, and indeed help facilitate, TMTG …

We provide sponsors with data that identifies which institutional players are researching Bitcoin infrastructure. Stricter enforcement of GDPR or the UK Data Protection Act specifically regarding financial/crypto interest data could limit our ability to monetize our audience. If generative AI models can effectively aggregate and synthesize specialist Bitcoin technical knowledge, the scarcity value of our intellectual property may be impaired.

… malfunctions, or hardware failures, loss of data or other information technology assets, adware, attacks enhanced or facilitated by artificial intelligence (“AI”), including through increased speed, scale, or sophistication, telecommunications failures, earthquakes, fire, flood, power loss, system failures, computer viruses, software …

Furthermore, our employees and personnel may use generative artificial intelligence (“AI”) technologies to perform their work, and the disclosure and use of personal data in such technologies is subject to various privacy laws and other privacy obligations. Governments have passed …

SOL is subject to technological obsolescence, including competition from emerging blockchain and artificial intelligence protocols.

Recent developments in the cyber threat landscape include use of artificial intelligence ("AI") and machine learning, as well as an increased number of cyber extortion and ransomware attacks, with the potential for higher ransom demand amounts and increasing sophistication, using …

The pace of technological change is accelerating, and the continued creation, development, and advancement of new technologies such as artificial intelligence, quantum computing, data analytics, and data storage, as well as other emerging technologies, continue to transform our business. In …

We increasingly use AI, machine learning, data analytics (including generative AI), and similar tools that collect, aggregate, and analyze data (collectively, “Data Tools”) in connection with our business, such as for customer support, AML alerts review, engineering code assistance, and …

We use AI, machine learning, data analytics, and similar tools that collect, aggregate, and analyze data. Our use of such AI, machine learning, data analytics, and similar tools could enhance intellectual property, cybersecurity, operational, and technological risks, which could have an adverse effect on our business.

We may use generative artificial intelligence and/or machine learning (collectively, “AI”) tools in our operations. If our peers use AI tools to optimize operations and we fail to utilize AI tools in a comparable manner, we may be competitively …

The use of, or inability to use, artificial intelligence by us, our employees, consultants, directors, vendors, investors or contract counterparties presents risks and challenges that may adversely impact our business and operating results or the business and operating results of our vendors, investors or contract counterparties.

Solana is subject to technological obsolescence, including competition from emerging blockchain and artificial intelligence protocols.

… Advancements in AI and blockchain technology are likely to accelerate the development of such protocols, including the development of additional networks that natively integrate AI into consensus mechanisms and other core features. If Solana is unable to evolve to address …

We may begin using artificial intelligence and machine learning technologies (“AI”) to enhance certain workflows and processes used in our business, including certain customer-facing and operational activities. AI is still in its early stages, and the introduction and incorporation …

If our use of artificial intelligence becomes controversial, we may experience brand or reputational harm, competitive harm, or legal liability. There is uncertainty in the legal and regulatory landscape for AI, which is not fully developed, and any laws, regulations …

Security breaches and privacy, data protection, cybersecurity, operational resilience and Artificial Intelligence (AI) issues could compromise our information and systems and expose us to liability, which would cause our business and reputation to suffer.

We may incorporate the use of AI into our business, operations and offerings in ways which present opportunities as well as challenges and risks, particularly as AI can produce hallucinations and AI agents may take undesired actions, if used. AI …

In 2019, Dr. Salkind joined the Strategic Advisory Board of Bio Symetrics, a company that has built data services tools for automated pre-processing, integrated analytics, and predictive modeling to make machine learning accessible to scientists and providers. Their technology serves health and hospital systems, biopharma, drug discovery and precision medicine.

… and technical capabilities enable a plethora of use cases from decentralized finance (“DeFi”) to decentralized physical infrastructure networks (“DePIN”), AI agents, social media, gaming, stablecoins, real-world assets (“RWA”s), and more. Moreover, according to Electric Capital’s 2024 Developer …

In addition, our efforts to develop online learning programs may be materially adversely affected by increased competition in the online education market and our competitors’ increasing use of artificial intelligence and machine learning, or because of problems with the performance or reliability of our future online program infrastructure.

Jared Roscoe has served as a member of our Board since December 2025. He serves as Partner, Deputy General Counsel, and Senior Advisor for Government Affairs at SoftBank Group International, where he leads global disputes, investigations, and regulatory matters, negotiates cross-border M&A transactions, and advises on policy and government affairs. He also serves on the boards of Stack AV, an autonomous trucking company, and Graphcore and Ampere, AI chip developers.

… Many of these legal and regulatory regimes were adopted prior to the advent of the internet, mobile technologies, digital assets, generative artificial intelligence (“AI”) and related technologies. As a result, some applicable laws and regulations do not contemplate or address …

Additionally, the Company has strategically invested in ETH, becoming the largest corporate holder of ETH, with over 1,875 tokens valued at approximately $8,260,607 as of August 31, 2025. These purchases were made through major OTC desks like Bitgo and Galaxy Digital. The Company views ETH as a long-term reserve asset, central to its positioning in the AI and digital asset investment cycles and aims to eventually hold 5% of the total ETH supply.

HYPE is subject to technological obsolescence, including competition from emerging blockchain and artificial intelligence protocols, which could have a negative impact on the price of HYPE and adversely affect the value of our HYPE holdings.

… Advancements in AI and blockchain technology are likely to accelerate the development of such protocols, including the development of additional networks that natively integrate AI into consensus mechanisms and other core features. If HYPE is unable to evolve to address …

… The block-building market is characterized by rapid technological change, and competitors may deploy advanced algorithms, artificial intelligence, machine learning, or other technologies that improve their competitive position relative to ours. If we are unable to keep pace with technological …

… Such threats may see their frequency increased, and effectiveness enhanced, by the use of artificial intelligence. Further, cybersecurity risks may be heightened as a result of ongoing global conflicts such as the Russia-Ukraine conflict or the ongoing Israel-Hamas …