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Hyperscaler free cash flow is deteriorating, OpenAI's losses approach $14 billion, and Nvidia's demand is tethered to unproven terminal value.
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How fast GPU cycles and slow capital stacks are creating stranded assets across hyperscalers, financers, and NVIDIA.
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From 95% pilot failure rates to $1.35 trillion in debt, a definitive look at why cash flow—not capacity—now decides AI winners.
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How leveraged financing, concentration, and correlated failures could turn today's AI capex into tomorrow's credit shock.
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Free
Spending velocity no longer drives valuations; utilization, monetization, and returns on capital now determine winners.
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As hyperscalers borrow billions to fund GPU clusters, the market rewrites the rules for valuing the AI supply chain
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Financing schedules demand returns that current monetization has not yet demonstrated
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Meta's 91% free-cash-flow plunge and margin collapse signal a market demanding proof of returns from AI compute spending.
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Revenue jumps 92% while losses and capex surge—the $100 billion NVIDIA windfall bet rests on unproven returns
