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The AI Supercycle podcast from QF-MI provides independent Capital Intelligence for the AI Industrial Economy. From semiconductors, AI factories and data centres to energy markets and power grids, critical materials, orbital compute and embodied intelligence, we track where capital is being deployed, where the binding constraints are emerging, and what it means for traders, investors and the broader economy. Each episode examines the physical infrastructure underpinning artificial intelligence and the investment opportunities emerging from its industrialisation. Published weekly by Quantum Fields Market Intelligence (QF-MI).
Unknown Host hosts The AI Supercycle.
Over the past two episodes we've explored the first two binding constraints shaping the AI Industrial Economy: high-bandwidth memory and delivered power. This week we move further down the supply chain. To the ground its
Episode 3: The Power Constraint: When Demand Meets Reality This week on The AI Supercycle, we move from high-bandwidth memory to the second major bottleneck shaping the AI industrial economy: delivered power. Generating
Episode 2: The Memory Constraint: Why HBM Has Become AI's New Oil Oil Semiconductor Bifurcation, Strategic Partnerships and the Fifth Binding Constraint This week Nvidia locked up future memory supply through a multi-yea
Episode 1: The Physical Constraints Behind the AI Supercycle The AI supercycle is not a single technology trade. It is a multi-year capital allocation event, and the physical infrastructure behind it is being repriced ac
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The AI Supercycle is hosted by Unknown Host. The show is categorised under Business (Investing) and has published 0 episodes.
The AI Supercycle regularly covers Business, Investing, Technology. It sits in the Business category, with a Investing focus.
The AI Supercycle is accessible for guests with genuine business expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
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Episodes of The AI Supercycle average 28 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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