AI Juggernaut: The Biggest Bull Run Ever w/ Jordi Visser

Quick Overview

Jordi Visser argues that AI represents a fundamental, accelerating innovation journey, not just a temporary fad like a "talking parrot," predicting the 2030s will be a "graveyard for public companies" due to this disruption, even as he believes the massive capital expenditure into compute and power will lead to a concentration of wealth where the majority of spending companies fail.

Key Points: Visser dismisses the idea that AI is merely a "fancy talking parrot," asserting that betting against AI is betting against accelerating innovation, noting the Nobel Prize was just given in the name of Dennis Hassabis for AI. AI capital expenditures are projected to exceed $500 billion in the US by 2026, primarily driven by the need for compute and power for data centers, which already shows bottlenecks in cooling systems and transformers. The current economic impact seen in GDP growth (revised up to 3.8% for Q2) is the lagging side of investment, as many major projects have not yet fully materialized, despite Oracle already having $300 billion in orders for the next five years. Visser strongly argues this is not a traditional bubble because the gains are extremely concentrated (K-shaped economy), contrasting sharply with the dot-com era where broader participation existed, citing the low reading on University of Michigan consumer confidence. He agrees with Mark Zuckerberg that the race for AGI is happening and that most companies spending money on AI will likely lose, calling it a race to obsolescence driven by creative destruction, where only a few winners, possibly only one from the Magnificent 7, will survive. The labor market faces a difficult transition period over the next five years, characterized by pressure on wages and difficulty in job creation before new roles emerge, though Visser leans toward the view that work weeks will decrease rather than all jobs vanishing. Visser views Bitcoin as the "purest AI investment play on the market" because the massive energy and compute demands of AI will ultimately lead to a scarcity that drives the value of decentralized, scarce assets.