In this episode, we unpack whether today's AI-driven market may resemble the dot-com bubble of 2000 or the early innings of a multi-decade technological supercycle. Further, we explore the rise in AI infrastructure demand, including Samsung surpassing a $1 trillion valuation as hyperscalers race to secure memory and compute capacity for large-scale AI systems. The conversation then shifts to the reported July 4 target for the CLARITY Act, signaling potential momentum around U.S. digital asset regulation and how stablecoins may be evolving as AI-powered autonomous payments.

Finally, we break down the rapidly shifting LLM landscape, debating the tradeoffs between speed, performance, and inference cost and why open-source models, specialized chips, and cheaper AI deployment may reshape the competitive dynamics of the next computing era.

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This podcast is for informational purposes only and should not be construed as investment advice or a solicitation for the sale of any security, advisory, or other service. Investments related to the themes and ideas discussed may be owned by funds managed by the host and podcast guests. Any conflicts mentioned by the host are subject to change. Listeners should consult their personal financial advisors before making any investment decisions.

Tech Bubble or AI Cycle? Plus Stablecoins Go Corporate