The Hidden Balance Sheet of AI: How VIEs, Joint Ventures, and Project Finance Structures Are Reshaping AI Infrastructure Investment

Artificial intelligence has sparked one of the most significant infrastructure buildouts in modern history. Across the market hyperscalers, neocloud providers, data center operators, infrastructure investors, and energy developers are investing billions of dollars to build the compute and power ecosystem necessary to support the next generation of AI.

Yet unlike previous technology cycles, many organizations cannot realistically finance these investments solely through traditional debt or equity.

The cost of constructing data centers, securing power generation, obtaining transmission capacity, deploying GPUs, and developing supporting infrastructure has become so significant that companies are increasingly relying on sophisticated financing structures to fund growth.

As a result, a new ecosystem of joint ventures, special purpose entities, project finance vehicles, infrastructure partnerships, and variable interest entities (VIEs) is emerging across the AI industry. For finance leaders, investors, auditors, and regulators, these structures are creating some of the most significant accounting and disclosure questions facing the industry today.

AI Infrastructure Increasingly Resembles Energy and Project Finance Markets

Historically, technology growth was funded primarily through software development and talent acquisition. AI has fundamentally changed that equation.

Today’s AI leaders must secure:

• Data center capacity
• Power generation assets
• Battery storage
• Transmission infrastructure
• Cooling systems
• Network connectivity
• Long-term GPU supply

Many of these assets possess characteristics more commonly associated with energy, real estate, telecommunications, and infrastructure projects than traditional software businesses.

As a result, financing models that have long existed in those sectors are now becoming commonplace throughout the AI ecosystem. Rather than directly owning every asset required to support future growth, organizations are increasingly partnering with infrastructure investors, private credit funds, lenders, developers, and energy providers through highly structured arrangements designed to share economics and risk.

These arrangements are often housed within standalone legal entities that may be critical to an organization’s AI strategy despite residing outside the traditional corporate structure.

The Rise of the AI Infrastructure VIE

One of the most important accounting questions arising from these arrangements is whether these entities should remain outside a reporting company’s consolidated financial statements.

A common AI infrastructure structure may involve:

• A project company established to own and operate AI infrastructure.
  • Third-party investors providing debt and equity financing.
  • A hyperscaler or AI company committing to long-term capacity purchases.
  • Energy providers supporting generation or transmission needs.
  • Various guarantees, support agreements, and performance commitments.

While the project company may be legally separate, the economic relationships are often far more complex than ownership percentages alone would suggest.

These facts can trigger ASC 810 evaluations involving:

• Variable interests
• Power over significant activities
• Expected losses and returns
• Primary beneficiary assessments
• Related-party considerations

As AI infrastructure financing continues to evolve, VIE analyses are becoming increasingly important in determining whether billions of dollars of assets, liabilities, and obligations remain outside a company’s consolidated balance sheet or must be brought onto it.

Joint Ventures Are Becoming a Preferred Growth Vehicle

Many organizations are intentionally pursuing joint venture structures as a way to access external capital while sharing development risk.

These arrangements are increasingly appearing across the AI infrastructure ecosystem, including:

• Data center developments
• Power generation projects
• Battery storage platforms
• Digital infrastructure investments
• Capacity expansion initiatives

From a business perspective, joint ventures can accelerate growth while preserving capital. From an accounting perspective, however, they often create significant complexity.

Key questions include:

• Is the arrangement a joint venture or a VIE?
• Who controls key operating decisions?
• Are substantive participating rights present?
• Does the governance structure align with economic substance?
• Is equity method accounting appropriate?
• What disclosures are required regarding commitments and risks?

In many cases, the accounting conclusion depends more on contractual rights and obligations than ownership percentages.

Project Finance Structures Create Economic Leverage Beyond Traditional Debt

Project finance has become increasingly attractive as AI infrastructure costs continue to rise.

Under these structures, financing often resides within a dedicated project company while lenders rely on project cash flows, infrastructure assets, and long-term customer commitments as the primary source of repayment.

While this can preserve balance sheet flexibility, it raises an important question: where does the economic risk actually reside?

The answer often extends well beyond the debt recorded within the project entity. Many project-financed AI infrastructure arrangements include:

• Long-term lease commitments
• Capacity reservation agreements
• Take-or-pay contracts
• Minimum volume commitments
• Infrastructure guarantees
• Power purchase agreements
• Credit support provisions

Although these obligations may not be presented as traditional debt, they can create significant future payment obligations that investors increasingly view as part of a company’s overall economic leverage.

Why Power Contracts, Leases, and Capacity Agreements Matter

While VIEs and joint ventures may be the legal vehicles supporting AI infrastructure investments, the underlying contracts often drive the accounting conclusions.

Long-Term Power Purchase Agreements

Power availability has become one of the primary constraints on AI growth. Companies are increasingly entering into long-duration PPAs, renewable energy arrangements, and generation support agreements to ensure future supply.

These contracts may introduce considerations involving:

• Embedded derivatives
• Lease accounting
• Variable payment structures
• Contingent obligations
• Disclosure requirements

Data Center and Capacity Commitments

Organizations are increasingly committing to infrastructure capacity years before it becomes operational.

These arrangements may include:

• Reserved compute capacity
• Dedicated data center space
• Minimum utilization requirements
• Expansion rights
• Availability commitments

The economics of these agreements often become central to both financing and consolidation analyses.

Guarantees and Credit Support

Infrastructure projects frequently require sponsors or customers to provide guarantees, financial support, or other credit enhancements to facilitate financing.

These obligations can significantly influence both accounting conclusions and investors’ assessment of economic exposure.

Why Investors Are Focusing on the “Hidden Balance Sheet”

The growing use of VIEs, project entities, and infrastructure partnerships is causing investors to look beyond traditional leverage metrics.

A company may report relatively modest debt while simultaneously maintaining significant obligations through:

• Joint venture commitments
• Future lease payments
• Capacity reservation agreements
• Power purchase commitments
• Infrastructure guarantees
• Credit support arrangements
• Project finance structures

Collectively, these obligations can have a meaningful impact on liquidity, future cash flows, and risk profiles despite not always appearing as traditional borrowings.

As AI infrastructure investment accelerates, understanding these commitments is becoming increasingly important when evaluating financial health and long-term capital requirements.

Looking Ahead At the AI Industry’s Growth

The next phase of AI growth will likely be financed through an increasingly complex network of project entities, joint ventures, infrastructure partnerships, and structured financing vehicles.

The accounting challenges will extend far beyond traditional debt accounting.

Companies will need to evaluate:

• ASC 810 consolidation conclusions
• VIE analyses
• Joint venture accounting
• ASC 842 lease implications
• Power contract accounting
• Embedded derivatives
• Guarantee obligations
• SEC disclosure considerations

In many cases, the most significant accounting judgments may not relate to the technology itself, but rather to the ownership and financing structures supporting that technology.

As AI infrastructure continues to mature, finance leaders who understand the interaction between VIEs, project finance structures, joint ventures, power commitments, leases, guarantees, and investor disclosures will be best positioned to navigate an increasingly complex reporting environment.

How Centri Can Help

As AI infrastructure investments increasingly utilize joint ventures, VIEs, project finance vehicles, long-term power agreements, and structured capacity arrangements, organizations face accounting challenges that extend beyond traditional debt and lease analyses. Centri helps clients evaluate these complex structures before transactions are executed, providing audit-defensible conclusions and transparency around the economic obligations that may ultimately drive financial reporting outcomes.

Our professionals assist with:

• VIE and consolidation assessments, including ASC 810 primary beneficiary evaluations and joint venture accounting analyses.
• Project finance, data center, and infrastructure transaction support, including entity structuring and off-balance-sheet reporting considerations.
• Power, capacity, and infrastructure contract accounting, including PPAs, take-or-pay arrangements, embedded leases, guarantees, and derivative evaluations.
• SEC reporting and disclosure support, helping management teams communicate economic exposures, commitments, and risks to investors and other stakeholders.
• Technical accounting memo preparation and auditor support for complex AI infrastructure transactions and financing arrangements.

In an industry where the most significant obligations may reside within project entities, contractual commitments, and partnership structures rather than traditional debt balances, Centri helps organizations navigate the intersection of AI infrastructure, capital markets, energy, and technical accounting with confidence.