📊 Full opportunity report: The Neocloud Cartel: How the AI Industry Started Renting Compute From Itself on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
The AI industry has shifted to a model where companies rent compute from each other, forming a cartel centered around Nvidia. This creates a choke point that grants significant market power but also introduces fragility.
In 2026, the AI industry has transitioned to a model where most companies rent their computing power from each other, rather than owning their own hardware. This shift, driven by a small group of firms led by Nvidia, has created a tightly interconnected system resembling a cartel, with significant implications for market control and supply chain stability.
Recent disclosures reveal that major AI firms such as Anthropic, xAI, and Google are leasing vast amounts of GPU capacity from each other, often on multi-billion dollar contracts. For example, xAI leased its Colossus 1 supercomputer to Anthropic for about $1.25 billion monthly and to Google for roughly $920 million monthly, totaling approximately $26 billion annually. These arrangements indicate a decoupling of compute ownership from use, with companies acting as both consumers and providers within the same network.
Furthermore, the flow of money underscores the emerging cartel. OpenAI has committed over $1.15 trillion in compute over the next decade, with significant portions financed directly or indirectly by Nvidia, which has invested up to $100 billion in OpenAI and holds stakes in multiple firms. Nvidia’s dominant position means it controls GPU supply and allocation, effectively holding the choke point in the supply chain. This concentration of power is reinforced by contractual clauses, such as Nvidia’s lease to xAI, which includes provisions allowing capacity reclamation if certain conditions are met.
The Neocloud Cartel
Almost no one racing to build AI owns the machine it runs on. They rent — increasingly from each other — and the money loops back to one chip maker that’s also an investor in nearly everyone at the table.
The cartel isn’t a conspiracy — it’s the endpoint of extreme capital intensity, real scarcity, and one dominant supplier. But the same circularity that makes it powerful makes it a fuse: each cancelled order is someone else’s missing revenue. Don’t be a price-taker at the bottom of a loop you don’t control — own your inference, keep an open-weight fallback, diversify silicon.
Implications of a Small Group Controlling AI Compute
This emerging compute cartel consolidates power within a small circle of firms, primarily Nvidia, which controls access to essential hardware and financing. Such concentration can influence AI development, pricing, and access, potentially stifling competition and innovation. The reliance on a closed, circular system raises concerns about supply chain fragility, as disruptions or policy changes could significantly impact the entire AI ecosystem.
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Formation of the Neocloud and Its Market Dynamics
The concept of the ‘neocloud’ emerged following the 2024–25 GPU shortage, which made traditional cloud providers unable to meet demand. Companies like CoreWeave, Meta, and OpenAI turned to renting Nvidia hardware, creating a new hyperscaler model focused solely on AI workloads. Over time, this rental market evolved into a tightly knit network where firms lease compute from each other, often on long-term, multi-billion dollar contracts.
By May 2026, the trend intensified with xAI leasing its supercomputer capacity to competitors, signaling a shift where ownership of compute infrastructure is less relevant than contractual control. This shift has been reinforced by large investments from Nvidia and other suppliers, who finance and supply the hardware, further entrenching their dominance.
“A gigawatt of AI data center capacity costs around $50 billion, and most of that flows directly to Nvidia.”
— Jensen Huang, Nvidia CEO
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Unclear Risks and Potential Disruptions to the Cartel
While the current structure appears stable, it remains uncertain how vulnerable this cartel is to regulatory intervention, supply chain shocks, or internal disagreements. The reliance on contractual clauses for capacity reclamation and the concentrated control by Nvidia could be points of fragility if market conditions change or new competitors emerge.
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Potential Regulatory and Market Responses to the AI Compute Cartel
Expect increased scrutiny from regulators concerning market concentration and supply chain dependencies. Companies outside the cartel may seek alternative hardware sources or develop proprietary compute infrastructure to reduce reliance. Additionally, shifts in geopolitical policies could impact Nvidia’s ability to maintain its dominant position, prompting a reevaluation of the current model.
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Key Questions
Why is Nvidia so central to the AI compute market?
Nvidia controls the majority of GPU supply and has invested heavily in financing and equity stakes across the AI hardware ecosystem, giving it outsized influence over capacity and pricing.
What does the self-renting model mean for AI innovation?
It could limit competition by creating high barriers to entry, as access to compute becomes dependent on contractual relationships with a small number of firms.
Could this cartel structure lead to supply shortages or price hikes?
Yes, concentration of control in Nvidia, combined with contractual restrictions, could make the supply chain fragile and prone to disruptions or increased costs if market conditions shift.
Is there any way for new players to break into this market?
Developing proprietary hardware, forming alliances outside the existing cartel, or regulatory actions could provide pathways for new entrants, but current barriers remain high.
Source: ThorstenMeyerAI.com
