Could AI compute become the next major commodity — like oil or electricity?
In this episode of Investor Mindset, Anton Saburov talks with trader and investor Abhinesh Daas about the emerging world of compute futures, GPU pricing, AI infrastructure, and a potential new asset class built around the cost of artificial intelligence.
As AI becomes a core operating expense for startups, enterprises, hedge funds, healthcare companies, and technology businesses, the cost of GPU compute and AI tokens could become increasingly important — and increasingly volatile.
We discuss how futures and derivatives could allow companies to hedge their AI infrastructure costs, why professional traders and hedge funds may enter this market before most AI companies, and how a transparent compute market could change the economics of the entire AI industry.
We also explore:
• What compute futures are and why they could matter
• How AI startups could hedge GPU and AI token costs
• Why compute could become the “oil of the AI economy”
• Nvidia’s pricing power and the comparison between Nvidia and OPEC
• TSMC, Taiwan, ASML and geopolitical risks to the AI supply chain
• Why hedge funds and Wall Street could be early participants
• AI infrastructure investing and the future of GPU pricing
• Open-source AI, Google TPUs, AMD and alternatives to Nvidia
• Why Abhinesh expects volatility — and potentially a major reset — in AI compute prices
• How individual and institutional investors could eventually participate
• What the compute futures market could look like by 2030
Abhinesh also explains how his investment strategy is changing: holding significantly more cash, reducing market exposure, and preparing for potential opportunities if AI infrastructure and compute prices experience a major correction.
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Materials: https://kone.club
Want to be a guest: anton@kone.club