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OpenAI builds $300B bubble machine: The feedback loop rewiring Wall Street finance

OpenAI’s $300 billion infrastructure initiative is reshaping the intersection of AI, capital markets, and industrial supply chains, effectively creating a new feedback loop that binds silicon production, equity valuations, and energy infrastructure into a single ecosystem.

OpenAI’s $300 billion infrastructure initiative is reshaping the intersection of AI, capital markets, and industrial supply chains, effectively creating a new feedback loop that binds silicon production, equity valuations, and energy infrastructure into a single ecosystem. Through multi-year contracts with AMD and Broadcom, OpenAI has secured up to 16 gigawatts of compute capacity—comparable to the electricity consumption of small nations—while granting its suppliers equity-linked incentives that deepen financial interdependence. AMD’s 6-gigawatt Instinct GPU deal includes performance-based warrants granting OpenAI upside in AMD’s share price, while Broadcom’s co-design and deployment of 10 gigawatts of custom silicon extends through 2029.  This model mirrors a circular economy within AI infrastructure—where capital, supply, and ownership intertwine. Nvidia’s $100 billion in vendor-financed commitments and its 7% stake in CoreWeave illustrate how supplier financing and client expansion reinforce one another. The dynamic resembles a self-perpetuating cycle in which capital efficiency depends on mutual growth between suppliers and consumers of compute.  At the macro level, this cycle has amplified Wall Street’s exposure to AI-driven valuations. With the “Magnificent Seven” now representing nearly a third of the S&P 500’s market cap, fluctuations in AI infrastructure spending ripple across global indices. Analysts at BofA warn that over 50% of fund managers already view AI as a potential bubble, suggesting high volatility if capacity growth outpaces utilization.  Energy dependency compounds the risk. Projected data center power demand could reach 165% of 2023 levels by 2030, with U.S. facilities potentially consuming 14% of national electricity. As Broadcom’s systems and AMD’s GPUs come online between 2026 and 2029, the interplay between power contracts, utilization rates, and hardware efficiency will determine whether OpenAI’s expansion evolves into a sustainable compute economy—or inflates one of the largest speculative bubbles in modern finance.

Through multi-year contracts with AMD and Broadcom, OpenAI has secured up to 16 gigawatts of compute capacity—comparable to the electricity consumption of small nations—while granting its suppliers equity-linked incentives that deepen financial interdependence. AMD’s 6-gigawatt Instinct GPU deal includes performance-based warrants granting OpenAI upside in AMD’s share price, while Broadcom’s co-design and deployment of 10 gigawatts of custom silicon extends through 2029.


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This model mirrors a circular economy within AI infrastructure—where capital, supply, and ownership intertwine. Nvidia’s $100 billion in vendor-financed commitments and its 7% stake in CoreWeave illustrate how supplier financing and client expansion reinforce one another. The dynamic resembles a self-perpetuating cycle in which capital efficiency depends on mutual growth between suppliers and consumers of compute.

At the macro level, this cycle has amplified Wall Street’s exposure to AI-driven valuations. With the “Magnificent Seven” now representing nearly a third of the S&P 500’s market cap, fluctuations in AI infrastructure spending ripple across global indices. Analysts at BofA warn that over 50% of fund managers already view AI as a potential bubble, suggesting high volatility if capacity growth outpaces utilization.


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Energy dependency compounds the risk. Projected data center power demand could reach 165% of 2023 levels by 2030, with U.S. facilities potentially consuming 14% of national electricity. As Broadcom’s systems and AMD’s GPUs come online between 2026 and 2029, the interplay between power contracts, utilization rates, and hardware efficiency will determine whether OpenAI’s expansion evolves into a sustainable compute economy—or inflates one of the largest speculative bubbles in modern finance.

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