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cryptocurrency regulationstablecoinsai infrastructurechip designinference optimizationgeopolitics of aidata center power requirements
The All-In Podcast hosts Coinbase CEO Brian Armstrong at the World Economic Forum in Davos to discuss crypto's regulatory landscape and market opportunities, followed by Cerebras CEO Andrew Feldman explaining how his company's massive AI chips deliver unprecedented speed for inference and training workloads. Armstrong highlights how the Trump administration has created a friendlier environment for crypto regulation compared to the Biden era, while Feldman explores the infrastructure challenges and geopolitical implications of the AI compute race.
Key takeaways
•The Genius Act now requires U.S. regulated stablecoins to maintain 100% reserves in short-term Treasury bonds, making them safer than traditional bank deposits that use fractional reserve lending.
•Stable coin rewards programs (structured differently from interest) are driving significant growth for Coinbase, with users earning approximately 100% of economics when they engage in additional activities like trading or subscriptions.
•The three biggest crypto trends are tokenization of all assets on-chain, prediction markets, and stablecoin payments, with major financial institutions like BlackRock and JP Morgan now integrating crypto infrastructure.
•Cerebras' wafer-scale chips are 56x larger than competing processors and deliver inference results in 4-10 seconds versus minutes with traditional GPUs, fundamentally changing the user experience of AI applications.
•The memory bottleneck in AI infrastructure is a multi-year supply chain problem—major memory makers shifted from 6-month to 18-month demand forecasts, creating a cascade of confusion that will take 18 months to digest with sustained high prices.
•China has advantages in open-source AI models and grid infrastructure scaling, while the U.S. maintains dominance in chip design; both nations are in a recursive "winner-take-all" competition where early advantages compound quickly.
