The Core Mechanism

In late 2025, a series of multi-billion-dollar deals in the AI sector created what Bloomberg called a "web of circular deals" worth over $1 trillion. Money, computer chips, and cloud credits rotate in a closed loop among a handful of companies: NVIDIA, OpenAI, Microsoft, Oracle, AMD, CoreWeave, xAI, and others.

The arrangement is so circular that dollars spent by one player often return as revenue for another. This gives the impression of breakneck growth. Critics compare it to the late-1990s dot-com bubble, where companies bought each other's ads with no real product.

Key distinction from dot-com

Unlike the dot-com era, physical assets—AI chips and data centres—are actually being built. Both companies are doing what they are set up to do: OpenAI needs chips, NVIDIA sells chips. The circularity is in the financing, not the product.

The Deal Register

Every major circular transaction we have documented, with sources. Amounts in USD billions.

DateFromToAmountTypeSource
Sep 2025NVIDIAOpenAI$100BInvestmentThe Register, Nov 2025
Sep 2025OpenAIOracle$300BCloud deal (5yr)WSJ / The Register
2025OracleNVIDIA$40BChip purchase (400K GB200s)Financial Times
Oct 2025OpenAIAMD6GWGPU deployment + 10% equity warrantThe Register
2025OpenAICoreWeave$22.4BGPU cloud (3 expansions)The Register
Sep 2025NVIDIACoreWeave$6.3BCapacity pre-purchase guaranteeThe Register
2019–23MicrosoftOpenAI$13BInvestment (49% stake)Multiple sources
Oct 2025OpenAIMicrosoft$250BAzure commitment (to 2032)Microsoft blog
Nov 2025OpenAIAmazon$38BAWS dealThe Register
2026OpenAIAmazon$138BAWS commitmentSEC filing
May 2026AnthropicGoogle$200BCloud spend (5yr)The Information
Apr 2026GoogleAnthropic$40BInvestment ($30B credits)Reuters
Apr 2026AmazonAnthropic$33BInvestmentCNBC
2026AnthropicAmazon$100BAWS commitmentAnthropic
Nov 2025AnthropicMicrosoft$30BAzure commitmentAnthropic
Nov 2025Microsoft + NVIDIAAnthropic$15BInvestmentAnthropic
2025SoftBankOpenAI$40BStargate fundingCNBC

The Scale of Circularity

Across Microsoft, Oracle, Google, and Amazon, OpenAI and Anthropic together account for roughly half of more than $2 trillion in cloud backlog. The four hyperscalers plan to spend around $725 billion on AI infrastructure in 2026 alone—nearly twice as much as in 2025.

The critical question

Anthropic's total cloud commitments ($330B) exceed a decade of its current run-rate revenue (~$30–40B). OpenAI's committed cloud spend exceeds $688 billion. If enterprise demand outside the loop does not materialise at the projected rate, who absorbs the loss?

Oracle's cloud revenue backlog surged 438% year-over-year to $523 billion, largely driven by its relationship with OpenAI. When news of the OpenAI-Oracle deal broke, Oracle stock spiked 36% in a day. Larry Ellison's net worth swelled by $88 billion virtually overnight.

The Bull Case

At a December 2025 summit, Anthropic CEO Dario Amodei offered a defence from inside the loop:

"One player has capital and has an interest, because they're selling the chips, and the other player is pretty confident they'll have the revenue at the right time, but they don't have $50 billion at hand."

NVIDIA CEO Jensen Huang said on the BG2 podcast: "I think that OpenAI is likely going to be the next multi-trillion-dollar hyperscale company. The return on that money is going to be fantastic."

The argument: AI infrastructure is genuinely scarce, demand is real, and circular financing is simply how capital-intensive industries bootstrap when no single entity can fund the buildout alone. Railways, telecoms, and electricity grids all used similar structures.

The Bear Case

Bloomberg's October 2025 assessment: "Never before has so much money been spent so rapidly on a technology that, for all its potential, remains largely unproven as an avenue for profit-making."

Morningstar analyst Brian Colello: "If things go bad, circular relationships might be at play."

The adoption gap

Anthropic's own March 2026 research shows a massive gap between AI's theoretical capability and real-world usage. OpenAI's January 2026 report shows "power users" use thinking capabilities 7× more than the median paying user. The typical user knows how AI works—they just don't find it reliable enough to deploy further.

The circularity is, in other words, the financing mechanism for a technology too expensive for any single company to build alone and too unreliable to be applied to real-world tasks at the scale its theoretical capabilities suggest.

What Would Break the Loop

Confidence Assessment

ClaimStatusConfidence
Circular financing structure existsDocumented in SEC filings, earnings calls, pressSubstantiated
Structure is legally permissibleNo enforcement action foundSubstantiated
Revenue is "fake" or fraudulentNo evidence of fraud; revenue is real but interdependentUnresolved
Structure creates systemic riskAnalyst consensus; no stress test publishedPartly substantiated
AI demand will justify the spendRevenue growing but adoption gap persistsUnresolved