Part 12/14:
The hosts debate the current discourse about an "AI bubble," emphasizing that AI development involves enormous compute investment and application expansion—like Tesla's FSD or humanoid robots—that has no prior counterpart. They argue this cycle resembles the late 1990s dot-com boom, with rapid infrastructure build like telecoms and overestimation of immediate profits eventually corrected.
Examples such as lithium supply constraints and chip production are discussed to illustrate how short-term shortages often give way to oversupply as market players react. The core insight: long-term, AI and computational capacity will grow exponentially, creating unprecedented opportunities across industries.