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AI Firms Tie Investments to Supply Chains Amid $1.5T Gap Estimate

AI companies supplied 55.2% of incoming investment into other AI firms from 2021 through 2025, while commercial ties connected nearly half of deals by value.

Cranes lift cooling equipment beside a growing data center / TokenPost.ai
Cranes lift cooling equipment beside a growing data center / TokenPost.ai

Artificial-intelligence companies are linking investments with purchases of computing capacity, chips and infrastructure as projected AI-related capital spending leaves an estimated $1.5 trillion external-financing gap.

A study covering 2021 through 2025 found that AI firms supplied 55.2% of incoming investment into other AI companies. AI firms were the targets of 28.7% of investment deals by value, and the study identified 972 investment relationships between AI companies.

Commercial ties were common within those relationships. Among AI-to-AI investment deals, 16.1% by count and 46.4% by value also involved supply-chain links between the investor and target.

The interconnected relationships can increase opacity and macroeconomic risk, but the findings do not establish that the AI market is repeating the 2008 financial crisis or that the corporate arrangements have caused systemic stress.

An Aug. 6, 2025, estimate put AI-related hardware and data-center capital spending at approximately $2.9 trillion over the four years that followed. The projected external-financing gap was $1.5 trillion, including roughly $800 billion from private credit, $200 billion from investment-grade bonds, $150 billion from securitized credit and $350 billion from other capital such as private equity, venture capital and sovereign spending.

“There’s about $1.5 trillion financing gap that has to be met by external capital,” Vishwas Patkar, head of U.S. credit strategy, said in the estimate’s accompanying discussion.

The same analysis estimated that the four largest hyperscalers could issue more than $600 billion in additional debt without damaging their credit ratings.

Corporate agreements show how capital commitments can overlap with commercial demand. Anthropic said Nov. 18, 2025, that it had committed to purchase $30 billion of Microsoft Azure compute capacity and contract additional capacity of up to one gigawatt. Anthropic also said NVIDIA committed up to $10 billion and Microsoft up to $5 billion to invest in the company.

OpenAI said Sept. 22, 2025, that NVIDIA intended to invest up to $100 billion in OpenAI as at least 10 gigawatts of NVIDIA systems were deployed. The first gigawatt was targeted for the second half of 2026.

“Everything starts with compute,” OpenAI co-founder and CEO Sam Altman said in the announcement.

Foreign participation adds context for U.S. markets, although the available figures cover U.S. securities broadly rather than AI investments specifically. Foreign investors owned 18% of U.S. equities outstanding as of June 30, 2024, holding $16.878 trillion in U.S. equities and $30.881 trillion in U.S. securities overall.

The $1.5 trillion figure represents a projected external-financing gap for AI-related capital spending, not confirmed outstanding AI debt. It also includes non-debt funding, so the estimate should not be treated as a forecast of a comparable financial crisis.

Earlier coverage examined financing platforms intended to mobilize more than $500 billion for AI compute capacity.

Simon Yoon

Reporter

Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.

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