Has Bitcoin Bottomed? Jordi Visser on AI, Inflation, and Moats
AI reshapes markets: expect short‑run commodity inflation but long‑term deflation, lifting scarce hardware, energy and Bitcoin while pressuring software incumbents.
Key Takeaways
- AI creates mixed macro outcomes: underinvestment drives interim commodity and energy inflation, but durable productivity gains point toward long‑term deflation and falling labor costs.
- Compute and energy scarcity—chips, memory, power, copper, silver—limit AI scale, elevating semiconductors, hardware suppliers, miners, and energy producers as strategic assets.
- Bitcoin benefits as a scarcity, non‑fiat store of value when CPI outpaces short‑term rates and the Fed holds; ETF and retail inflows diversify holders and deepen adoption.
- Actionable allocation: rotate from AI‑vulnerable software/SaaS into scarcity plays—NVIDIA, DRAM/memory names, lithium, silver miners, and energy/commodity producers.
- Public firms with large fixed costs, stock‑based comp, private credit exposures, and financials are most at risk; startups and AI‑native entrepreneurs likely capture most new value.
- Geopolitics and hardware rivalry matter: Chinese model advances (e.g., DeepSea) and export controls could spur semiconductor volatility—sell‑offs may create buying opportunities.
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Has Bitcoin Bottomed? Jordi Visser on AI, Inflation, and Moats
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