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The Constraint Capture Model is a business strategy framework for understanding the AI infrastructure era. Artificial intelligence is usually experienced as software, but it scales through a deep physical, industrial, electrical, material, and geopolitical stack.
This book explains the two forces shaping the next phase of AI deployment. The first is demand: cloud infrastructure, enterprise AI, autonomy, robotics, and national security systems are pulling AI forward. The second is constraint: compute, memory, interconnect, packaging, fabrication, power, materials, electricity, and geopolitics determine how fast AI can actually scale.
Written for executives, operators, policymakers, supply-chain leaders, technology strategists, and investors, The Constraint Capture Model provides a practical framework for seeing where AI infrastructure pressure is building, where bottlenecks may emerge, and where strategic advantage may accumulate.
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