You should carefully consider the risk factors set forth below and those risk factors associated with our historical footwear business contained in our Annual Report on Form 10-K for the year ended December 31, 2025 and our subsequent U.S. Securities and Exchange Commission (the "SEC") filings. You should carefully consider the risks and uncertainties described below, together with all of the other information in this Quarterly Report on Form 10-Q, including our condensed consolidated financial statements and related notes included in Part I, Item 1, and the section titled "Management's Discussion and Analysis of Financial Condition and Results of Operations" included in Part I, Item 2. The occurrence of any of the events or developments described below could materially and adversely affect our business, financial condition, results of operations, and growth prospects. In such an event, the market price of our Class A common stock could decline, and you may lose all or part of your investment. The specific risk considerations described below are not the only ones facing us. Additional risks and uncertainties not presently known to us or that we currently believe are not material may also impair our business, financial condition, results of operations, and growth prospects. Risk Factors Relating to Our AI Infrastructure Business The Asset Sale has been completed, however, we may not be able to establish and implement a viable continuing business. Completion of the Asset Sale does not ensure the success of the Company following the sale of the historical footwear business. We are now pursuing the AI Infrastructure Business. However, our ability to do so successfully will depend on numerous factors, including our ability to obtain and maintain financing, identify and acquire AI Infrastructure, hire or retain qualified personnel, establish commercially viable transaction structures, manage an entirely different business model, maintain our Nasdaq listing, avoid or manage litigation and other claims and preserve sufficient liquidity to fund operations. We have only limited cash, and our available funds may be insufficient to fund our continuing business, satisfy public company costs, meet working capital needs or otherwise continue operations. We have limited operating history in the AI Infrastructure Business, and our new business plan may not be successful. Our business is focused on the acquisition and monetization of graphics processing units, related high-performance computing infrastructure and other related assets. While members of our Board and management team have relevant experience, we have only a limited operating history in this business as a company. As a result, investors will have limited basis on which to evaluate our prospects in this new business. We may be unable to retain existing employees or attract new employees with the expertise necessary to operate the AI Infrastructure Business. Our AI Infrastructure Business is subject to all of the risks, uncertainties and difficulties frequently encountered by start-up companies and companies entering a new and rapidly evolving market, many of which are beyond our control. We may fail to identify attractive opportunities, acquire suitable AI Infrastructure, develop a viable operating model, generate revenue, achieve profitability or create stockholder value. If we are unable to execute this business plan successfully, our business, financial condition, results of operations and prospects could be materially and adversely affected, and the value of our Class A common stock could decline substantially. Our AI Infrastructure Business is speculative, uncertain, unproven and subject to change, and we may be unable to implement it successfully or at all. Our AI Infrastructure Business is at an early stage of development. We have commenced initial operations, but our plans remain preliminary and may change. The AI Infrastructure Business is uncertain, unproven, and subject to significant risks. Because our strategy is evolving, we are required to make significant assumptions regarding market conditions, customer demand, competition, asset pricing, financing availability, utilization, operating costs, monetization opportunities, technological developments and other factors. These assumptions, among many others, may prove to be incorrect. Even if we are able to acquire additional AI Infrastructure and expand operations, we may be unable to establish profitable or sustainable business lines. If our assumptions are incorrect or if our strategy changes materially, our business, financial condition, results of operations and the market price of our Class A common stock could be materially adversely affected. 33 Table of Contents We have sold all of the assets associated with our historical footwear business and are now operating a new business, our AI Infrastructure Business, that differs from our historical footwear business. The Asset Sale involved the sale of the assets relating to our historical footwear business and a significant amount of our historical operating assets. As a result of the closing of the Asset Sale, we no longer operate the business with which investors have historically associated the Company. Instead, we are operating new assets in a different business. We need to expand and build substantial parts of our business, including strategy, personnel, processes, controls, systems, counterparties, customer relationships, vendor relationships, branding and market positioning. We may not be successful in doing so. Companies attempting a transition of this magnitude often encounter unforeseen costs, delays, execution issues and strategic failures. If our continuing business does not develop successfully, we may fail to generate meaningful revenue, incur substantial losses, need to raise additional capital on unfavorable terms, or pursue additional strategic alternatives. Any such outcome could materially and adversely affect our stockholders. We may fail to transition successfully from a consumer products company to an AI infrastructure company. The successful operation of an AI infrastructure business requires capabilities that differ substantially from those required to operate a consumer footwear and apparel business. These capabilities may include, among other things, expertise in sourcing and evaluating specialized computing equipment, structuring leases and sale/lease-back transactions, understanding enterprise and institutional customer needs, managing technology asset life cycles, evaluating residual value risk, negotiating technical services and hosting arrangements, complying with industry-specific laws and regulations and managing specialized technical and operational risks. We may be unable to develop or acquire these capabilities in a timely or cost-effective manner. We may also experience difficulty adapting our internal processes, financial reporting systems, disclosure controls and risk management framework to support a fundamentally different business model. If we are unable to manage this transition effectively, our business and prospects could be materially harmed. Our disclosures regarding our business necessarily involve substantial estimates and assumptions and may become inaccurate or incomplete as circumstances evolve. Because our AI Infrastructure Business is at an early stage, our public disclosures regarding the business, opportunities, risks, economics, financing needs, market demand, asset acquisition plans, monetization strategies and expected results necessarily depend on estimates, expectations and assumptions that may prove to be incomplete, inaccurate or subject to rapid change. In many cases, we may have only limited operating experience or third-party information on which to base such judgments. As a result, subsequent developments may differ materially from what is described in our public filings. If investors, regulators, counterparties or other stakeholders believe that our disclosures were incomplete, insufficiently qualified, overly optimistic or otherwise misleading, we could face reputational harm, litigation, regulatory scrutiny, stock price volatility and other adverse consequences. Any such developments could materially adversely affect our business and financial condition. The AI Infrastructure Business may never generate meaningful revenue, achieve profitability or produce positive cash flow. Our AI Infrastructure Business requires substantial upfront capital expenditures, ongoing operating expenditures and significant management attention before it generates any material revenue, if at all. There can be no assurance that we will be able to generate customer demand, establish commercially reasonable pricing, structure profitable monetization arrangements or achieve sufficient scale to cover our costs. 34 Table of Contents Even if we generate revenue, our costs may be greater than we expect, including costs associated with acquiring AI Infrastructure, financing, maintenance, logistics, hosting, insurance, professional services, regulatory compliance, public company obligations, personnel and litigation. As a result, we may continue to incur losses for an extended period or indefinitely, and we may never achieve profitability or positive cash flow. If that occurs, the value of our business and our Class A common stock could decline materially. We face intense competition from larger, more experienced and significantly better-capitalized companies, and we may be unable to compete effectively. The AI infrastructure market is intensely competitive and evolving rapidly. We compete, directly or indirectly, with a range of participants, including large technology companies, cloud service providers, infrastructure operators, data center operators, equipment owners and lessors, investment firms, financial sponsors and other market participants with substantially greater financial, technical, operational and managerial resources than we have. Many of these competitors have significantly longer operating histories, more established brands, deeper customer relationships, superior access to capital, better procurement terms, more sophisticated technical capabilities, more extensive infrastructure and greater tolerance for risk than we do. These competitors may be able to acquire AI Infrastructure at lower cost, offer more attractive pricing or commercial terms, absorb volatility more effectively, deploy assets more quickly and secure customers and strategic relationships more successfully than we can. Our limited resources relative to these competitors may materially impair our ability to compete, generate revenue and create stockholder value. We have significantly fewer resources than many of the companies with which we would compete, which could materially impair our ability to execute our business plan. Our available cash, remaining assets and organizational resources are limited. The AI Infrastructure Business requires significant capital, personnel, systems and third-party relationships. Larger and more established companies may have access to more favorable financing, stronger supplier relationships, greater technical expertise, lower cost structures and more diversified revenue streams. Because our resources are substantially more limited than those of many competitors and counterparties in this market, we may be unable to pursue attractive opportunities, withstand pricing pressure, tolerate delays in monetization, absorb operational setbacks or respond effectively to changes in market conditions. If we are unable to compete effectively due to our comparatively limited resources, our business, financial condition and prospects could be materially adversely affected. Our ability to execute the AI Infrastructure Business will depend on our ability to obtain substantial capital, and such capital may not be available on acceptable terms or at all. The acquisition and monetization of AI Infrastructure will require substantial capital, and we may require debt or equity financing. We expect to continue to incur significant cash needs, including for personnel costs, public company costs, professional fees, transaction expenses, working capital, debt service and the costs of attempting to develop the AI Infrastructure Business. Our cash resources may be exhausted more quickly than we expect, and we may run out of cash before we are able to secure financing. 35 Table of Contents Capital markets conditions, our limited operating history in the AI Infrastructure Business, the speculative nature of our strategy, trading volatility in our Class A common stock, our financial condition, investor sentiment regarding our transition and other factors may make it difficult or impossible for us to obtain additional capital on terms that are acceptable to us, or at all. If financing is unavailable or available only on unfavorable terms, we may be forced to delay or abandon acquisitions, curtail operations, sell assets at unattractive prices, issue additional equity that is highly dilutive, incur restrictive indebtedness, drastically reduce expenses, cease operations, declare bankruptcy, or pursue other strategic alternatives. If we are unable to raise capital when needed, we may run out of cash. Any of these outcomes could materially adversely affect our business and stockholders. We have experienced, and expect to continue to experience, turnover in senior management and on our Board as a result of the closing of the Asset Sale. Following the closing of the Asset Sale, we have experienced, and expect to continue to experience, substantial turnover in senior management and on our Board. Such turnover may be exacerbated by the fact that the successful operation of the AI Infrastructure Business requires specialized capabilities that differ substantially from those required to operate our historical footwear business. Any such turnover could result in a loss of institutional knowledge, reduced management continuity, weakened oversight, disruption to strategic execution, delays in implementing the AI Infrastructure Business, uncertainty among employees, counterparties and stockholders, and difficulty maintaining effective disclosure controls, internal control over financial reporting and corporate governance processes. Significant turnover could also create actual or perceived governance concerns, increase the risk of disputes regarding the direction of the Company and make it more difficult to attract and retain qualified personnel and directors. Any of these developments could materially and adversely affect our business, financial condition, results of operations, prospects and the market price of our Class A common stock. Our workforce has limited experience in the AI Infrastructure Business, and our need to recruit, retain and train personnel with new skill sets may increase costs and execution risk. Historically, our Company operated a consumer footwear and apparel business. We now operate a fundamentally different business that requires expertise in areas such as GPUs and related computing infrastructure, asset finance and leasing structures, technology operations, customer contracting, cybersecurity and regulatory compliance. We may be unable to retain existing personnel, train personnel effectively, or hire additional qualified personnel in a timely manner or on acceptable terms. If we fail to build and maintain a team with the requisite capabilities, we may be unable to execute our strategy, maintain effective controls and disclosure processes, or create stockholder value, and our business, financial condition and results of operations could be materially adversely affected. 36 Table of Contents Market enthusiasm for artificial intelligence, GPUs and computing infrastructure may be concentrated, cyclical or disconnected from our ability to benefit from it, and demand for our business may not develop as expected. Our AI Infrastructure Business is premised in part on expected demand for computing infrastructure, including infrastructure capable of supporting artificial intelligence and machine learning workloads. Market interest in these areas may fluctuate significantly and may be affected by technological shifts, customer spending patterns, economic conditions, changes in competitive offerings, regulatory developments and other factors beyond our control. Demand may also be affected by changes in model architectures, software optimization, inference efficiency, the adoption of alternative chips or system designs, shifts from training to inference workloads, or the ability of hyperscalers and other large market participants to internalize demand. As a result, growth in the AI sector may not translate into corresponding demand for the assets we acquire or the business model we are developing. We may be unable to complete the purchase and lease of the AI Infrastructure on the terms, in the amounts, or on the timeline we currently anticipate, or at all. In April 2026, using proceeds from the initial tranche of the Convertible Notes, the Company, through its wholly owned subsidiary, purchased the Purchased GPU Assets. Simultaneously, the wholly owned subsidiary entered into an approximately $2.8 million, three-year lease agreement with a lessee for the Purchased GPU Assets, with an end-of-term purchase option provided. This lease agreement represents the Company's first transaction within the AI Infrastructure Business. Our AI Infrastructure Business depends in significant part on our ability to identify, acquire and monetize graphics processing units and related high-performance computing infrastructure and other AI Infrastructure. There can be no assurance that we will be able to complete the purchase of any such AI Infrastructure, enter into leases or other monetization arrangements with respect to such assets, or do so on terms, in quantities or on a timeline consistent with our current expectations. The completion of any such acquisitions or monetization transactions may be subject to numerous conditions, uncertainties and contingencies, including the availability of financing, the willingness of counterparties to transact, the availability and pricing of suitable assets, completion of diligence, negotiation of definitive documentation, receipt of any required consents or approvals, logistics and deployment considerations, market conditions and other factors beyond our control. Even if we are able to acquire AI Infrastructure or enter into leases or other monetization arrangements, the terms of such transactions may differ materially from what we currently anticipate, including with respect to purchase price, lease rates, duration, return conditions, risk allocation, maintenance obligations, hosting arrangements, insurance requirements, default provisions, residual value assumptions, counterparty protections and other economic or operational terms. If we are unable to complete such transactions, if they are delayed, or if they are completed only on less favorable terms than we expect, our ability to implement our AI Infrastructure Business could be materially adversely affected. In such circumstances, we may be unable to deploy capital effectively, generate expected revenue, achieve anticipated returns, satisfy our liquidity needs, execute our business plan or avoid pursuing additional financing, curtailing operations, declaring bankruptcy, or other strategic alternatives. Changes in AI technologies, model architectures, software optimization and customer procurement strategies may reduce demand for the types of AI Infrastructure we acquire or may shift value to participants other than us. The AI and high-performance computing markets are evolving rapidly, and changes in model design, inference techniques, software optimization, workload management, chip architectures, custom silicon, integrated hardware-software platforms and cloud procurement models may reduce demand for particular categories of GPUs or other AI Infrastructure or shorten their useful economic lives. In addition, value in the AI ecosystem may accrue disproportionately to chip designers, hyperscalers, cloud platforms, model developers, software providers or vertically integrated operators, rather than to independent owners or lessors of computing equipment. If technological developments or changes in customer behavior reduce demand for the assets we acquire, compress pricing, shorten deployment periods or otherwise diminish the economics of our business model, our business and prospects could be materially adversely affected. Demand for AI-related or high-performance computing infrastructure may not grow as expected, may grow more slowly than anticipated, may become concentrated in the hands of a small number of large incumbents, or may be satisfied through technologies, business models or providers that do not benefit us. Customers may prefer to procure computing capacity from hyperscale cloud providers, vertically integrated platforms, strategic partners or operators with established technical, operational and financing capabilities, rather than from us. In addition, current market enthusiasm may reflect speculative activity, temporary shortages, unusually strong capital spending by a limited number of participants or expectations that are not sustained. If market enthusiasm proves temporary, if capital investment in this sector declines, if AI workloads become less infrastructure-intensive than expected or if demand for our offerings does not materialize, our strategy may not succeed. The markets for GPUs and related computing infrastructure are characterized by rapid technological change, vendor concentration and supply-chain dependencies, including dependencies involving advanced chip fabrication, and our AI Infrastructure may become obsolete or less available more quickly than we expect. The value of GPUs and related high-performance computing infrastructure depends in significant part on technological relevance, performance, efficiency, software compatibility, customer preferences, vendor roadmaps and the pace of product innovation. These factors may change rapidly. New generations of equipment may render existing AI Infrastructure less competitive, less desirable or materially less valuable over short periods of time. In addition, the development and supply of advanced GPUs and related components are highly concentrated among a limited number of designers, manufacturers, foundries, packaging providers and other supply-chain participants, including third parties involved in advanced semiconductor fabrication and related processes. Disruptions, delays, shortages, allocation decisions, quality issues, capacity constraints or geopolitical events affecting any such participants, could materially affect the availability, cost, timing, performance characteristics or commercial value of the AI Infrastructure we seek to acquire or monetize. If the AI Infrastructure we acquire become technologically outdated, difficult to deploy, incompatible with evolving software or customer requirements, less energy efficient than competing assets or otherwise less commercially attractive, we may be unable to monetize them at anticipated rates or at all. We may also be required to sell such assets at reduced prices, incur impairment charges, accelerate depreciation or commit additional capital to remain competitive. In addition, if future equipment generations are delayed, supply constrained, repriced, reallocated to other customers, subject to export restrictions or otherwise affected by disruptions involving semiconductor foundries, advanced packaging capacity, memory supply, interconnect components, networking equipment or other critical inputs, the competitive positioning and residual value of our existing or targeted AI Infrastructure may be adversely affected in ways that are difficult to predict. Any such developments could materially adversely affect our business and financial condition. 37 Table of Contents We may acquire AI Infrastructure at prices that do not permit us to earn acceptable returns. The markets for GPUs and related infrastructure are highly competitive, supply-constrained and subject to pricing volatility. As a result, we may acquire AI Infrastructure at elevated prices or on terms that later prove unattractive. The profitability of our business will depend on our ability to acquire assets at prices that permit attractive monetization, taking into account financing costs, carrying costs, residual value risk, operational expenses, maintenance, insurance and other factors. If we overpay for AI Infrastructure, if market prices for such assets decline after acquisition, if customer pricing weakens, or if financing costs rise, the returns on our assets may be materially lower than anticipated, and we may incur losses. Our ability to forecast the value and returns of AI Infrastructure may be limited, particularly given our lack of operating history in this business. We may be unable to source sufficient AI Infrastructure on acceptable terms, in desired quantities or on a timely basis due to supply constraints, allocation practices and concentrated industry dependencies, including key supply-chain participants. Our strategy depends on our ability to identify, acquire and deploy GPUs and related computing infrastructure. The supply of such assets may be constrained due to strong demand, manufacturing limitations, vendor allocation practices, supply chain disruptions, geopolitical events, export restrictions, tariffs, logistics challenges or other factors. Supply may also be adversely affected by concentration in semiconductor design, foundry capacity, advanced packaging, high-bandwidth memory, substrate availability, networking components, rack-level integration, data center equipment and other upstream inputs and services. In particular, a substantial portion of the industry's supply of advanced AI chips depends on a limited number of manufacturing and packaging participants, including critical providers. Any disruption, delay, reprioritization, allocation decision, yield problem, natural disaster, cyber incident, labor issue, trade restriction, military conflict, political tension involving Taiwan or other adverse event affecting those participants or regions could materially impair the availability, timing or cost of AI Infrastructure. We will also face competition from larger or more established buyers with stronger relationships, greater purchasing power and more technical expertise. If we are unable to source suitable AI Infrastructure in sufficient quantities, on desired schedules or at prices and terms we consider acceptable, we may be unable to execute our strategy, satisfy customer needs, achieve scale or generate expected returns. Delays or constraints in asset sourcing could materially adversely affect our business and prospects. Our business model depends on assumptions regarding customer demand, pricing, residual values and monetization opportunities that may prove incorrect. Our AI Infrastructure Business may involve sales, leases, sale/lease-back transactions and other monetization structures. The success of these arrangements will depend on numerous assumptions, including assumptions regarding demand from potential customers, the pricing they are willing to pay, contract duration, uptime requirements, residual values, maintenance costs, power and hosting costs, financing costs, counterparty creditworthiness and the availability of secondary market opportunities. If any of these assumptions prove to be incorrect, our business model may not be viable or may be materially less profitable than we currently expect. In particular, pricing pressure, higher-than-expected costs, counterparty defaults or lower residual values could materially adversely affect our revenue, margins, asset values and overall business. If we are unable to enter into profitable leases, sale/lease-back transactions or other monetization arrangements, our AI Infrastructure Business may fail. Our business strategy contemplates the monetization of AI Infrastructure through one or more transaction structures, including sales, leases and sale/lease-back arrangements. There can be no assurance that we will be able to identify counterparties willing to enter into such arrangements on commercially acceptable terms or at all. Even if such arrangements are entered into, they may not be profitable, may involve significant risk allocation in favor of the counterparty, may require substantial customization or negotiation and may expose us to operational, legal, tax, accounting and credit risks. If we are unable to structure and consummate attractive monetization transactions, our returns may be materially impaired and our business may not be successful. 38 Table of Contents Our revenue is, and may continue to be, concentrated in a small number of customers, counterparties, transactions or assets, and the loss of any significant customer or transaction could materially harm us. Because our AI Infrastructure Business is at an early stage, we may initially depend on a small number of customers, transactions, financing sources, vendors, facilities or asset deployments. As a result, our revenue and business prospects may be highly concentrated. The loss, reduction, delay, default, insolvency or dispute involving any significant customer or counterparty could materially adversely affect our revenue, cash flows and prospects. In addition, concentration may reduce our negotiating leverage, increase earnings volatility and make our business more susceptible to disruptions affecting particular counterparties or assets. If we are unable to diversify our customer base or monetization channels over time, our business could remain subject to heightened risk. Counterparties to our leases, monetization arrangements or other transactions may default, terminate early, fail to renew or otherwise not perform as expected. If we enter into leases, sale/lease-back transactions, financing arrangements, hosting agreements or other commercial contracts, we will be exposed to counterparty credit, performance and enforcement risk. Our counterparties may become unwilling or unable to perform their obligations, may dispute contractual terms, may seek concessions, may terminate agreements early, may fail to renew agreements or may become insolvent or bankrupt. Any such nonperformance could reduce our revenues, impair the value of our AI Infrastructure, increase our costs, require costly enforcement efforts, result in litigation or force us to re-market assets on less favorable terms. These risks may be heightened in periods of economic volatility or in emerging or rapidly changing markets. Counterparty nonperformance could materially adversely affect our business and financial condition. Our AI Infrastructure Business may be exposed to residual value risk and remarketing risk. If we acquire AI Infrastructure and seek to monetize them through leases, sale/lease-back transactions or other arrangements, the returns on those assets may depend in part on the residual value of the assets at the end of a contractual term or anticipated holding period. The residual value of GPUs and related computing infrastructure may be difficult to predict and may decline materially due to technological change, changes in customer preferences, increased supply, reduced demand, the introduction of newer or more efficient products, changes in software compatibility, changes in energy efficiency expectations or other market developments. If the residual value of any AI Infrastructure is lower than we expect, we may be unable to sell, re-lease, redeploy or otherwise monetize those assets on favorable terms or at all. We may also be required to reduce pricing, accept lower returns, record impairment charges or incur additional costs in remarketing or reconfiguring assets. Any such developments could materially and adversely affect our business, financial condition, results of operations and prospects. The AI Infrastructure Business requires specialized technical, operational, commercial and financial expertise that we may be unable to attract, retain or develop, and our current personnel may have limited experience in this business. The successful implementation of our new strategy will depend on our ability to recruit, retain and manage personnel with specialized expertise in areas such as GPUs, high-performance computing, infrastructure operations, leasing, asset finance, data center economics, enterprise sales, procurement, logistics, compliance, cybersecurity, valuation and accounting. Historically, our management team and employees operated a consumer footwear and apparel business, and we may have limited institutional knowledge and capabilities in the computing infrastructure and AI ecosystem. Such personnel are in high demand and may command compensation packages that are significantly greater than those we have historically paid or are able to pay. We may be unable to attract suitable personnel on acceptable terms or at all. Competition for talent in the computing infrastructure and AI ecosystem is intense, and our limited operating history in the new business, uncertain prospects and post-Asset Sale profile may make us a less attractive employer than larger, more established competitors. If we fail to hire, retain and develop the personnel necessary to operate the business, our strategy may not succeed. 39 Table of Contents We may experience substantial difficulties integrating new personnel and establishing an organization capable of operating the AI Infrastructure Business. Even if we are able to recruit experienced personnel, we may face substantial integration challenges. Building a new operating team in a materially different business may create uncertainty regarding roles, reporting lines, decision-making, performance expectations and accountability. Rapid organizational change may reduce morale, increase turnover, create inefficiencies and distract management. Moreover, new personnel may have differing strategic views, risk tolerances or operating styles. We may also be required to rely heavily on a relatively small number of individuals, increasing key-person risk. Any inability to integrate personnel successfully and build an effective organization could materially impair our execution of our business plan. We may implement workforce reductions, and related costs and legal compliance requirements could be significant and could expose us to litigation, regulatory scrutiny or reputational harm. During the transition to our AI Infrastructure Business, we may determine that workforce reductions, restructurings or other organizational changes are necessary. Such actions could result in substantial costs, including severance, retention, benefits, outplacement and other charges. Workforce reductions may also require us to comply with applicable employment and labor laws, including notice requirements such as those under the Worker Adjustment and Retraining Notification (WARN) Act and similar state and local laws, and any failure to comply could result in fines, penalties, damages and litigation. In addition, workforce reductions may adversely affect morale, productivity, institutional knowledge, our ability to attract and retain talent and our ability to implement our strategy, any of which could materially adversely affect our business and prospects. We need to build new systems, policies, procedures and internal controls and failures in doing so could harm us. Our AI Infrastructure Business requires new and significantly revised systems, processes and controls, including for asset acquisition, deployment, valuation, inventory and fixed asset management, customer contracting, revenue recognition, credit evaluation, compliance, insurance, cybersecurity, maintenance, financial reporting and disclosure controls. We may not be able to develop and implement such systems and controls effectively or on a timely basis. If we fail to establish adequate systems, policies, procedures and internal controls, we may experience operational inefficiencies, financial reporting errors, control deficiencies, asset losses, compliance failures, customer disputes, litigation exposure and reputational harm. Any such failures could materially adversely affect our business, results of operations, financial condition and ability to satisfy public company obligations. 40 Table of Contents We may incur significant losses arising from equipment failures, downtime, maintenance issues, defects, damage or other operational disruptions. AI Infrastructure and related infrastructure are subject to operational risks, including hardware failure, defects, overheating, power interruptions, cooling failures, networking issues, software incompatibility, improper configuration, transportation damage, theft, maintenance errors and other disruptions. Such events may reduce performance, delay deployment, impair availability, increase operating costs, cause contractual disputes or expose us to claims for damages. If we are unable to prevent or mitigate these operational risks effectively, our ability to monetize AI Infrastructure could be materially impaired. In addition, equipment failures or disruptions could harm our reputation, reduce customer trust and materially adversely affect our revenues and profitability. Our business may expose us to additional cybersecurity, data security, technology integrity and related risks. Although our role in any given transaction may vary, ownership, deployment, hosting or monetization of AI Infrastructure may expose us to additional cybersecurity, data protection, technology integrity and related risks. These risks may arise from vulnerabilities in hardware, firmware, software, networking, remote access tools, management systems or third-party service providers. Malicious actors may seek to disrupt operations, gain unauthorized access to systems, exfiltrate data, misuse computing resources or impair asset functionality. Cybersecurity incidents or security vulnerabilities could result in downtime, financial losses, reputational harm, legal claims, regulatory scrutiny, contractual liability and increased costs. We may also be required to incur significant expenditures to detect, prevent, respond to and remediate such issues. As our business develops, these risks may increase in significance. We may depend on third parties across a concentrated and complex supply chain for hosting, operation, logistics, maintenance, procurement, manufacturing and other critical functions, and failures by those third parties could materially harm us. Our business may depend heavily on third parties, including manufacturers, designers, foundries, advanced-packaging providers, distributors, brokers, resellers, hosting providers, data center operators, logistics providers, maintenance providers, insurers, technical consultants, networking providers and financing counterparties. We may have limited control over these third parties, and their failure to perform could disrupt our business. Third-party failures may include delays, service interruptions, insolvency, breaches of contract, negligence, cybersecurity incidents, quality issues, cost increases, labor disputes, regulatory violations, capacity constraints, allocation decisions or other misconduct. Because important parts of the AI and semiconductor ecosystem are concentrated in a relatively small number of suppliers and service providers, including participants involved in advanced chip fabrication and packaging, adverse developments affecting any such participant may have outsized effects on pricing, availability and deployment timelines throughout the market. If any critical third party fails to perform adequately or if we are unable to replace such party on acceptable terms, our business, financial condition and prospects could be materially adversely affected. We may be exposed to asset concentration risk. Especially during the early stages of our AI Infrastructure Business, we may invest in a limited number of high-value AI Infrastructure, a limited number of equipment types or configurations, or assets associated with a limited number of use cases, counterparties or deployment environments. As a result, our business and financial performance may be disproportionately affected by adverse developments affecting particular assets, asset categories or deployment strategies. If a concentrated set of assets becomes obsolete, is difficult to deploy, experiences operational issues, declines in market value, fails to meet customer needs or is adversely affected by changes in technology, pricing, regulation or customer demand, our business could be materially harmed. Asset concentration may also increase volatility in our revenues, returns and asset values and reduce our ability to manage risk through diversification. 41 Table of Contents We may face vendor concentration risk, including risk arising from reliance on a small number of chip designers, semiconductor manufacturers, foundries, packaging providers and other concentrated supply-chain participants. The market for GPUs and related computing infrastructure may depend on a limited number of manufacturers, chip designers, foundries, advanced-packaging providers, memory suppliers, networking vendors, distributors, resellers or other supply channels. To the extent our business relies on equipment produced or supplied by a small number of vendors, we may be exposed to significant vendor concentration risk. Those vendors may change pricing, reduce supply, prioritize other customers, alter product specifications, limit warranty or support coverage, impose restrictive contractual terms, change channel relationships or discontinue certain product lines. Any deterioration in our relationship with key vendors, or any adverse development affecting a major vendor or supply-chain participant, including manufacturing delays, yield issues, packaging bottlenecks, allocation decisions, financial distress, regulatory restrictions, supply chain disruptions, cyber incidents, natural disasters, labor disruptions, geopolitical tensions involving Taiwan, litigation or reputational harm, could impair our ability to source, maintain, support or monetize AI Infrastructure. Our dependence on a limited number of vendors and industry participants could materially and adversely affect our business. We may be exposed to logistics, transportation and custody risks. AI Infrastructure may consist of high-value, specialized and potentially sensitive equipment that must be shipped, stored, installed, removed, redeployed and, in some cases, recovered or returned. These activities may subject us to risks of loss, theft, damage, delay, misdelivery, improper handling, installation error, environmental exposure, chain-of-custody disputes and other logistics-related issues. Such risks may be heightened when assets are moved among facilities, across jurisdictions or through third-party logistics networks. If AI Infrastructure is damaged, lost, delayed or mishandled, we may incur uninsured or underinsured losses, be unable to deploy equipment on schedule, experience interruptions in monetization, face disputes with customers or counterparties, or suffer reputational harm. Any such developments could materially adversely affect our business, financial condition and operating results. Our AI Infrastructure Business may be adversely affected by export controls, trade restrictions, tariffs, sanctions and other geopolitical or regulatory developments. GPUs and related computing equipment may be subject to export control laws, sanctions regimes, import restrictions, tariffs, trade policies and other legal or geopolitical constraints. Regulatory regimes applicable to advanced computing technologies may change rapidly. Such developments could limit the availability of equipment, restrict our ability to acquire or transfer assets, reduce the universe of permissible counterparties, increase costs, delay transactions or expose us to compliance risk. In addition, geopolitical tensions, changes in trade relations, sanctions enforcement or other international developments may disrupt manufacturing and supply chains or materially affect the markets in which we seek to operate. Compliance with these laws and developments may require substantial resources and management attention. Any failure to comply, or any adverse legal or geopolitical development, could materially adversely affect our business. 42 Table of Contents Changes in law, regulation or government policy relating to artificial intelligence, advanced computing, energy usage, environmental matters or data center operations could materially adversely affect us. The regulatory environment applicable to artificial intelligence, advanced computing, high-performance infrastructure, energy use, environmental impacts and data center-related operations may evolve significantly. New or modified laws, rules, regulations or government policies could restrict the deployment, ownership, financing, hosting or operation of AI Infrastructure or could increase compliance burdens and costs. For example, governments may impose requirements relating to licensing, disclosures, energy efficiency, environmental permitting, emissions, procurement practices, customer due diligence, use restrictions, cybersecurity or reporting. Compliance with current and future legal requirements may be costly and time consuming, and we may be unable to do so effectively. Any adverse regulatory changes could materially harm our business and strategy. Our business depends on power availability, electricity pricing, cooling capacity and other infrastructure conditions that are beyond our control. High-performance computing equipment requires substantial electrical power, cooling capacity, networking resources and suitable physical infrastructure. Power availability and pricing, cooling requirements, transmission constraints, facility availability and related infrastructure limitations may materially affect the cost, feasibility, location and profitability of deploying AI Infrastructure. Power and cooling constraints may delay deployments, limit utilization, increase operating costs or reduce the competitiveness of our assets relative to newer or more efficient equipment. In addition, power prices and availability may be affected by weather, regulation, utility policy, grid constraints or geopolitical events. If we are unable to obtain suitable infrastructure conditions on acceptable terms, our business may be materially adversely affected. We may be required to record significant impairment charges, valuation adjustments or other accounting charges relating to AI Infrastructure or our continuing operations. The value of AI Infrastructure may fluctuate significantly due to technological change, market conditions, pricing trends, residual value expectations, changes in financing costs or other factors. If the carrying value of any AI Infrastructure exceeds recoverable value or fair value, we may be required to record impairment charges or other accounting adjustments, which could be material. In addition, the transition in our business model may require us to make significant judgments and estimates regarding asset lives, residual values, revenue recognition, financing arrangements, contingencies, liabilities and other accounting matters. Such judgments may later prove incorrect. Material impairment charges, valuation changes or accounting adjustments could adversely affect our results of operations, financial condition and the market price of our Class A common stock. Insurance may not adequately cover losses associated with AI Infrastructure, technology operations, business interruption, cyber incidents or other claims. Insurance for specialized computing assets and related operations may be expensive, subject to significant exclusions or unavailable in adequate amounts. We may elect to retain some risks ourselves, and even when insurance is available, it may not cover all losses, liabilities, business interruptions or claims to which we may be exposed. Coverage disputes may also arise. If we suffer losses, damage, business interruption, cyber incidents, professional liability claims, commercial disputes or other events not fully covered by insurance, our business and financial condition could be materially adversely affected. In addition, premiums may increase materially over time, reducing the profitability of our business. Investors may have difficulty evaluating our future prospects because, after the closing of the Asset Sale, we have continued and will continue as a public company with a limited operating history in a new business and no historical information relevant to that business. Investors have no historical financial information relevant to the AI Infrastructure Business. Our historical financial statements primarily reflect a materially different business. Accordingly, historical results will not be indicative of future performance, and investors may find it difficult to evaluate our prospects, strategy, valuation and risks. This limited visibility may contribute to volatility in our Class A common stock, reduce analyst coverage, impair investor confidence and make it more difficult for us to raise capital. If investors are unable to assess our future prospects accurately, the market price of our Class A common stock could be materially adversely affected. 43 Table of Contents We may not be able to maintain effective disclosure controls and procedures or internal control over financial reporting. Our evolving business model, potential personnel changes, new financing arrangements, asset acquisitions, possible litigation and changing reporting considerations may increase the complexity of our financial reporting and public disclosures. If we are unable to maintain effective disclosure controls and procedures and internal control over financial reporting, we may fail to report information accurately and timely, may be required to restate financial statements, may become subject to SEC scrutiny or stockholder claims and may suffer reputational harm. Any such failure could materially adversely affect our business and the market price of our Class A common stock. Our accounting policies, judgments and financial reporting for the AI Infrastructure Business and the related financing arrangements are evolving, and we may be required to change our accounting treatment, which could result in additional costs, delays, volatility in our reported results or restatements. The AI Infrastructure Business and the related acquisition, ownership and monetization of AI Infrastructure, may involve accounting questions that require significant judgment and may not be fully resolved until we have additional information, complete further analysis or finalize our processes and systems. Our conclusions regarding critical accounting policies, unusual items, derivative and embedded derivative accounting, revenue recognition, asset lives, residual values, impairments, contingencies and other matters could change as we implement the new business, obtain additional guidance or interpret evolving facts and circumstances. Any changes in accounting treatment, the identification of additional accounting policies, the adoption of new controls and processes, or the discovery of errors or control deficiencies could require us to record additional charges, revise prior-period financial statements, delay the issuance of financial statements or other reports, or provide additional disclosures, any of which could adversely affect investor confidence, increase costs, expose us to claims and materially adversely affect the market price of our Class A common stock. The change in our corporate identity and strategic direction may create confusion, reduce credibility and harm our ability to establish our new business. Following the closing of the Asset Sale, we changed our corporate name and ceased operating the historical footwear business. This change in identity and strategic direction may create confusion among investors, counterparties, employees and other stakeholders regarding who we are, what business we are in and what capabilities we possess. Some market participants may question the credibility or viability of our new strategy or may be reluctant to transact with us until we establish a track record in the new business. Any reputational challenges, uncertainty or skepticism arising from our abrupt change in business and identity could impair our ability to hire personnel, attract counterparties, raise capital and create stockholder value. The transition away from our historical business and public benefit may adversely affect stakeholder relationships and may give rise to additional disputes or claims. Following the closing of the Asset Sale, we no longer operate the historical business associated with the Allbirds brand and are no longer a Delaware public benefit corporation focused on environmental conservation. Some stockholders, employees, customers, investors or other stakeholders may view this shift negatively or may assert that the Company has departed from the expectations on which they previously relied. As a result, we may experience reputational harm, stakeholder criticism, books-and-records demands, litigation, derivative claims or other disputes relating to our change in business strategy, corporate identity, public benefit orientation, disclosures or process. Any such matters could be time-consuming, costly and distracting and could materially adversely affect our business and prospects. 44 Table of Contents We may become subject to substantial stockholder litigation, derivative litigation, securities claims, books-and-records demands and other proceedings in connection with the Asset Sale, the transition to the AI Infrastructure Business, and other matters. Transactions and strategic changes often give rise to litigation and other proceedings. In addition to litigation relating to the Asset Sale, we may face claims and demands arising from the issuance or potential issuance of securities, alleged dilution, the change in our corporate name and strategy, the elimination of our public benefit corporation status, the adequacy of our disclosures, the role of the Board and management and the possibility that the AI Infrastructure Business may not succeed. Such proceedings may include securities class actions, stockholder derivative actions, fiduciary duty claims, books-and-records demands, appraisal-related claims, claims relating to alleged misstatements or omissions, claims regarding conflicts of interest, creditor disputes and regulatory inquiries or investigations, including claims that may be asserted even if prior matters have been dismissed, settled or otherwise resolved. These matters may be brought regardless of merit and may consume substantial time and resources. Any such proceedings could result in injunctions, delays, settlements, judgments, damages, increased insurance costs, indemnification obligations, adverse publicity and significant legal expenses, any of which could materially adversely affect our business, financial condition and stockholders. Any litigation, investigation or claim relating to our new business could delay our plans, divert management attention and materially harm us. Even if any claims asserted against us are without merit, litigation and investigations can be expensive, time-consuming and disruptive. They may divert management attention from implementing our strategy, reduce available cash, increase professional fees, delay commercial negotiations and harm our reputation with investors, counterparties and employees. In addition, litigation or investigations could cause us to incur substantial settlement costs, judgments, fines, penalties or additional disclosure obligations. These risks may be heightened in light of the significant market interest and stock price volatility that we have experienced. Any such matters could materially adversely affect our business and stockholders. We may face disputes, litigation and other liabilities relating to the wind-down of our legacy retail operations, including store closures and lease termination matters. In connection with the wind-down of our historical footwear business, we have closed all of our full price retail locations in the United States. These closures have given rise, and may continue to give rise, to disputes with landlords and other third parties, including claims relating to lease terminations, alleged defaults, restoration obligations, rent concessions, security deposits, guaranties, indemnities and related matters. These matters may result in litigation, arbitration, settlements, judgments or other liabilities and could require significant management attention, result in material expense and adversely affect our liquidity and our ability to fund and execute our continuing business strategy. Even if any prior securities litigation has been resolved, we remain subject to significant securities litigation risk, which could increase as we pursue financings, experience stock price volatility or transition to a new business. Our stock price may be volatile and our transactions, financings and strategic transition may attract heightened investor attention and scrutiny. Even if claims asserted against us in the past have been dismissed, settled or otherwise resolved, we may be subject to new or renewed litigation, regulatory inquiries, stockholder demands or other proceedings relating to our disclosures, stock price movements, financings, alleged dilution, governance matters or the success or viability of our continuing business strategy. Defending such matters, regardless of merit, could be costly and time-consuming, could divert management's attention, could result in significant settlement amounts, damages, fines or other penalties and could materially adversely affect our business, financial condition, results of operations and prospects. 45 Table of Contents If the AI Infrastructure Business is unsuccessful, we may be unable to continue as a going concern. The success of our continuing business plan is uncertain. If we are unable to implement the AI Infrastructure Business successfully, generate meaningful revenues, raise sufficient capital, manage costs, satisfy obligations or otherwise sustain operations, we may not be able to continue as a going concern. As of the issuance of the unaudited condensed consolidated financial statements for the quarterly period ended March 31, 2026, the Company disclosed that there was substantial doubt of its ability to continue as a going concern. During the three months ended June 30, 2026, we received net proceeds from the sale of the historical footwear business, from the issuance of our Convertible Notes, and from sales of our common stock under the ATM offering. This, in conjunction with the implementation of cost-cutting measures and the AI Infrastructure Business strategy, alleviated the substantial doubt about the Company's ability to continue as a going concern for the twelve-month period following the issuance of the unaudited condensed consolidated financial statements included in this Quarterly Report on Form 10-Q. However, depending on future business outcomes, we may need to seek additional financing, sell assets, drastically reduce operations, restructure obligations, or pursue strategic transactions. Any such outcome could materially reduce or eliminate value for stockholders. Public company costs may consume a disproportionate amount of our remaining resources. We expect to continue to incur substantial costs associated with being a public company, including costs relating to SEC reporting, Nasdaq compliance, legal and accounting services, audit requirements, internal controls, investor relations, directors' and officers' insurance, corporate governance, stockholder communications and other administrative and compliance functions. If our business remains limited, develops more slowly than expected or fails to generate meaningful revenues, these costs may represent a disproportionate burden on our liquidity and financial resources. As a result, a significant portion of our available capital may be consumed by public company obligations rather than by investment in the AI Infrastructure Business. If public company costs are greater than expected, or if our remaining resources are less than expected, our ability to execute our strategy, remain listed on Nasdaq, maintain operations and create stockholder value could be materially adversely affected. We may be unable to maintain analyst coverage, institutional investor interest or market support. Securities analysts, institutional investors and other market participants may have difficulty evaluating our business, strategy and valuation. Some analysts may discontinue coverage of the Company, and some institutional investors may be unwilling or unable to invest in a company with our business strategy and profile. A reduction in analyst coverage, institutional ownership or broader investor interest could reduce liquidity in our Class A common stock, increase volatility, widen bid-ask spreads, impair market visibility and make it more difficult for us to access capital markets on favorable terms. Any such developments could materially adversely affect the market price of our Class A common stock and our overall prospects. We may be exposed to tax risks associated with asset acquisitions, leasing structures, sale/lease-back transactions and other monetization arrangements. Our AI Infrastructure Business may involve complex domestic, state, local and potentially international tax issues. The tax treatment of asset acquisitions, ownership, leasing transactions, sale/lease-back structures, financing arrangements, depreciation, revenue streams, property taxes, sales and use taxes, transfer taxes and other aspects of our business may be uncertain and may depend on highly technical rules and factual determinations. Tax authorities may challenge our positions, and changes in tax law, tax rates, regulations, administrative guidance or judicial interpretations could adversely affect the economics of our business model. In addition, tax compliance associated with asset-intensive and multi-jurisdictional operations may be costly and burdensome. If our tax positions are challenged successfully, or if the expected tax treatment of our transactions is not realized, we could incur additional taxes, penalties, interest and professional fees, which could materially and adversely affect our business, financial condition and results of operations. 46 Table of Contents We may be unable to obtain favorable accounting treatment for aspects of our monetization structures. The accounting treatment of leases, sale/lease-back transactions, structured financings, revenue arrangements, residual interests and other monetization structures may be complex and may require significant judgment. The accounting for such transactions could affect the timing and amount of recognized revenue, expenses, assets, liabilities, depreciation, gains, losses and cash flow presentation. If the accounting treatment of our transactions differs from what we expect, or if our judgments and estimates are later challenged by our auditors, regulators or others, we may be required to revise our financial statements, record additional charges, change the classification of transactions, alter our disclosures or restate previously issued financial statements. Any such developments could materially and adversely affect our reported results, increase costs, divert management attention and impair investor confidence. Risk Factors Relating to Our Convertible Notes Only the initial $8.25 million of the Facility has been invested, and the remaining $91.75 million is solely at the option of the holders of the Convertible Notes. If we do not obtain additional funding, we may run out of cash. The Convertible Notes, if issued, will be issued in multiple closings. To date, only the first $8.25 million in aggregate principal amount of the Convertible Notes has been issued. The remaining $91.75 million in aggregate principal amount of the Convertible Notes is solely at the option of the holders of the Convertible Notes. Accordingly, there can be no assurance that we will receive the full amount of the contemplated financing, or any amount beyond the initial $8.25 million. Stockholders should not assume that the holders of the Convertible Notes will elect to fund any additional tranche, and the currently invested amount will very likely be insufficient to fund our planned operations, liquidity needs or business strategy for any significant period of time. If the holders of the Convertible Notes elect not to fund additional tranches, we very likely will not have access to the capital necessary to purchase AI Infrastructure, develop operations, or pursue our business plan. In such event, we may need to seek alternative financing, which may not be available on favorable terms or at all. Our inability to obtain financing under the Facility could materially and adversely affect our business, liquidity, prospects and the market price of our Class A common stock. Our indebtedness and the terms of the Convertible Notes could materially adversely affect our liquidity, financial condition and operational flexibility. The Convertible Notes constitute indebtedness of the Company. Indebtedness may require us to use cash flow to satisfy principal, interest, redemption, amortization or other payment obligations rather than for working capital, capital expenditures, acquisitions or other corporate purposes. In addition, the financing documents associated with the Convertible Notes provide for economic and other terms that could be expensive and highly dilutive, including a stated interest rate of 12%, an original issue discount of 5%, variable conversion pricing and default provisions that may increase amounts owed (including a 25% default premium), any of which could materially adversely affect our liquidity and financial condition. The Convertible Notes are senior secured obligations secured by all of the assets of the Company and its subsidiaries, including all AI Infrastructure. In addition, the financing documents associated with the Convertible Notes contain covenants, restrictions, defaults, remedies, rights and other provisions that could limit our flexibility in operating our business. These provisions may restrict our ability to incur additional indebtedness, grant liens, engage in certain transactions, raise capital, transfer assets, make strategic changes or otherwise operate our business as management believes is appropriate. If we fail to comply with the terms of the financing documents associated with the Convertible Notes or if an event of default occurs, the holders of the Convertible Notes may exercise remedies, including remedies against collateral, that could have a material adverse effect on our liquidity, assets, financial condition and ability to continue operations. Our indebtedness could therefore materially impair our ability to execute our strategy successfully and could increase the risk that we may be unable to continue as a going concern. The rights granted to the holders of the Convertible Notes may significantly limit our strategic and operational flexibility and may create governance or influence concerns. The financing documents associated with the Convertible Notes grant the holders of the Convertible Notes significant rights, including rights relating to future financings, registration, conversion and other matters. For example, for twenty-four months following the issuance date, the holders of the Convertible Notes have the right to co-invest for at least 55% of certain future financing transactions on the same terms as other investors. The Company also granted registration rights and other rights under the financing documents associated with the Convertible Notes. These rights may limit our flexibility to pursue capital raising, strategic transactions or operational decisions on terms and timelines that we would otherwise consider desirable. The holders of the Convertible Notes' interests may not always align with the interests of the Company or our stockholders generally. In addition, the existence of these rights may discourage other investors or counterparties from transacting with us, may complicate future financing efforts, may constrain our ability to negotiate with third parties and may result in disputes regarding interpretation or compliance. Any such limitations, deterrent effects or disputes could adversely affect our business and prospects. The holders of the Convertible Notes have the right to appoint a new Chief Operating Officer, which may create management, integration, governance and strategic execution risks. The holders of the Convertible Notes have the right to appoint a new Chief Operating Officer of the Company. The appointment of a senior executive selected by the holders of the Convertible Notes may create significant operational, governance and management risks. We may experience difficulties integrating such executive into our organization, aligning responsibilities and authority, retaining other key personnel, defining reporting lines, maintaining management cohesion or ensuring consistent execution of strategy. There can be no assurance that any such executive will possess the necessary skills, judgment, cultural fit or industry experience to assist the Company successfully in implementing the AI Infrastructure Business. The appointment of a new Chief Operating Officer could also create actual or perceived conflicts of interest, uncertainty among employees, counterparties and investors, or disputes within management or the Board. Any of these issues could materially adversely affect our business and execution of our strategy. 47 Table of Contents Risks Relating to Ownership of Our Common Stock We may need to raise additional capital through future equity or equity-linked issuances, which may be highly dilutive to existing stockholders. We may need to raise substantial additional capital to implement our business plan, support operations, fund acquisitions, satisfy obligations, respond to market opportunities or address unforeseen developments. Any future equity or equity-linked financing would be dilutive to existing stockholders, potentially materially so. In addition, future issuances may occur at prices below the then-current market price of our Class A common stock or below prices previously paid by stockholders, and could include terms favorable to new investors, such as discounts, anti-dilution protections, liquidation preferences, registration rights, Board or management influence rights or other protections. Such issuances could materially dilute existing stockholders' economic and voting interests and could adversely affect the market price of our Class A common stock. The market price of our Class A common stock may not reflect the fundamental value or prospects of the AI Infrastructure Business. The market price of our Class A common stock may be influenced by speculation, momentum trading, limited public float, short covering, media attention, social media commentary, investor enthusiasm regarding artificial intelligence or computing infrastructure themes, or other factors unrelated or disproportionate to our underlying business fundamentals. There can be no assurance that any such increase will be sustained. Investors may have only limited information regarding our AI Infrastructure Business and may make investment decisions based on assumptions about our future business that do not materialize. If market expectations change, if our business plan is not executed successfully, if our financing arrangements prove insufficient or restrictive, if our disclosures are challenged, or if broader market sentiment weakens, the market price of our Class A common stock could decline sharply, and stockholders could lose all or a substantial portion of their investment. Our Class A common stock has been, and may remain, highly volatile, and stockholders may lose all or a substantial part of their investment. The market price of our Class A common stock has been, and may continue to be, highly volatile. Volatility may result from, among other things, the shift in our business strategy, uncertainty regarding the AI Infrastructure Business, potential dilution, actual or anticipated financings, litigation, analyst commentary, market sentiment regarding artificial intelligence and computing infrastructure businesses, and general market and macroeconomic conditions. This volatility may be substantial and could occur regardless of our operating performance. As a result, stockholders may be unable to sell their shares at desired prices or at all, and may lose all or a substantial portion of their investment. In addition, volatility in our stock price could increase the risk of securities litigation and other claims. Our ability to maintain the listing of our Class A common stock on Nasdaq is uncertain, and if we are unable to satisfy Nasdaq's continued listing requirements, our Class A common stock could be delisted. Following the closing of the Asset Sale, our business, operations, financial condition, market capitalization, stockholders' equity and trading characteristics have changed materially. As a result, we may have difficulty continuing to satisfy Nasdaq's continued listing standards, including standards relating to minimum stockholders' equity, market value, bid price, publicly held shares, round-lot holders, corporate governance and other qualitative and quantitative requirements. In addition, investors may view us as an operating company with limited assets or operations pending implementation of our AI Infrastructure Business, which could adversely affect trading in our Class A common stock and our ability to satisfy applicable listing standards. This risk may be heightened because we are seeking to build a speculative new business in a new industry with limited operating history, limited capital, and uncertain prospects. If Nasdaq determines that we no longer meet one or more of its continued listing requirements, our Class A common stock could be delisted. A delisting would likely adversely affect the liquidity and market price of our Class A common stock, reduce our access to the capital markets, impair our ability to raise additional financing, decrease analyst coverage and investor interest, and make it more difficult for stockholders to sell their Class A common stock. Any such consequences could materially and adversely affect the value of an investment in our Class A common stock. Because our historical operating business has been sold and our AI Infrastructure Business is highly uncertain, speculative, unproven and subject to significant risks, investors may have difficulty valuing our Class A common stock. Our Class A common stock may trade based on limited information, evolving assumptions, market sentiment and speculation regarding our AI Infrastructure Business, rather than established operating results. This may result in significant mispricing, elevated volatility and sudden declines in value. Social media and online forums may contribute to increased volatility in our Class A common stock price and create risks of market manipulation. In recent years, securities of certain companies have experienced extreme price volatility driven in part by activity on social media platforms and online forums, sometimes referred to as "meme stock" dynamics. This volatility is often unrelated to the underlying performance or fundamentals of the companies involved and can be driven by retail investor sentiment, coordinated trading activity, or viral attention. Our Class A common stock has been, and may continue to be, subject to similar dynamics, which could result in rapid and significant price increases or decreases that may be disconnected from our business plans, operating results and financial performance. Such volatility could expose us to securities class action litigation or regulatory scrutiny. Additionally, false or misleading information about us could be spread on social media or online forums, which could adversely affect our reputation and the market price of our Class A common stock, regardless of the accuracy of such information. 48 Table of Contents Short selling of our Class A common stock could increase the volatility of our Class A common stock price and adversely affect its market price. Short selling occurs when an investor borrows shares and immediately sells them, hoping that the share price will decline and the investor can repurchase the shares at a lower price for return to the lender. Short selling has been prevalent in securities of companies with significant volatility or "meme stock" dynamics. The significant short selling of our Class A common stock, or the perception that such short selling may occur, may create downward pressure on the price of our Class A common stock and may amplify the effect of any negative developments. Additionally, so-called "short and distort" campaigns could target our Company, where short sellers spread negative information about a company to drive down its stock price and profit from their short positions. Any such campaign could damage our reputation and adversely affect the market price of our Class A common stock, regardless of the accuracy of the information disseminated. Conversely, if our Class A common stock price increases rapidly, short sellers may be forced to cover their positions quickly, leading to a "short squeeze" that could result in extreme price volatility. Active trading of options on our Class A common stock could increase volatility in our Class A common stock price and adversely affect the market for our securities. Options on our Class A common stock may be traded on securities exchanges and over-the-counter markets. Activity in these markets, including hedging, arbitrage, and speculative strategies, can lead to significant buying or selling pressure and contribute to price volatility. Option expirations, changes in implied volatility, and variations in options market liquidity can exacerbate volatility in our Class A common stock price. Increased volatility related to options trading could negatively affect investor confidence, impair liquidity, and adversely affect our Class A common stock price regardless of operating performance. Sales of substantial amounts of our Class A or Class B common stock by our directors, officers, or significant stockholders, or the perception that such sales may occur, could adversely affect the market price of our Class A common stock. Sales of substantial amounts of our Class A or Class B common stock by our directors, officers, or significant stockholders in the public market, or the perception that such sales may occur, could adversely affect the market price of our Class A common stock. In addition, the existence, or even the potential of, a significant sale by any of our large stockholders could cause the market price of our Class A common stock to decline. Moreover, our directors and officers may establish pre-arranged trading plans under Rule 10b5-1 of the Exchange Act, and sales under these plans could be perceived negatively by the market, whether or not there is any actual adverse information about us. We cannot predict the effect, if any, that sales of shares by our insiders or the availability of shares for future sale will have on the market price of our Class A common stock. 49 Table of Contents