Compute & Market Power
Chips, cloud capacity, data centers, energy, capex, and the supply chains that determine who can build AI.
The AI race ultimately reaches the physical world: accelerators, memory, fabs, networking, data centers, electricity, cooling, and the financing required to assemble them. This topic explains how those constraints shape model availability, cloud competition, national strategy, and the bargaining power of builders.
Coverage follows the stack from semiconductor materials and export controls to hyperscaler capex and grid queues. The goal is to make infrastructure legible as an operating constraint and a source of market power—not to treat every chip launch or data-center announcement as an isolated event.
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OpenAI Is Paying $20 Billion to Break Up with NVIDIA
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AI Needs More Power Than Japan. Your Bill Proves It.
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NVIDIA Just Made AI the OS of Quantum Computers
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Stanford Dropped AI's Report Card. America Is Losing.
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$200 Billion and Negative Cash Flow. Jassy Says Trust Me.
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$35 Billion for GPUs. CoreWeave Bet the House.
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One Trillion Parameters. No NVIDIA Required.
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Oracle Fired 30,000 People at 6 AM. The AI Bill Came Due.
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The $13 Billion Divorce Starts with Three Models
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Arm Built a Chip. The x86 Monopoly Just Blinked.