# AI Juggernaut: The Biggest Bull Run Ever w/ Jordi Visser Source: https://www.youtube.com/watch?v=t8dS5Z0Fr9g Recap page: https://rapidrecap.app/video/t8dS5Z0Fr9g Generated: 2025-10-15T00:07:13.727+00:00 --- ## 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. **Context:** This interview on Milk Road Macro features host John Gillan speaking with Jordi Visser, a seasoned investor and macro analyst known for his work on AI, macroeconomics, and crypto. The discussion centers on the profound macroeconomic impact of Artificial Intelligence, moving beyond simple narratives to analyze capital expenditure trends, the nature of the current market concentration, and the geopolitical competition between the US and China regarding AI dominance and critical resources like rare earths. ## Detailed Analysis Jordi Visser asserts that AI is driving an unprecedented technological shift that will create a "graveyard for public companies" by the 2030s, emphasizing that the required investment is fundamentally about compute and power, leading to massive capital expenditures exceeding $500 billion annually in the US, which are already stressing infrastructure like transformers and cooling systems. He refutes the 'bubble' narrative by pointing to extreme market concentration, noting that unlike the dot-com era, general consumer sentiment remains low, confirming that only a select few are benefiting. Visser believes the current economic strength is due to lagging effects of these investments, with many revenues from expected applications like solving cancer or developing robo-taxis still dependent on overcoming compute bottlenecks. Regarding competition, he acknowledges the US is losing ground to China in hardware and critical resources like rare earths (which China controls 90%+ of processing for), though the US still wins on attracting talent. Visser expects the upcoming Trump-Xi meeting to result in a 'grand bargain' or mediation settlement that would provide market clarity and potentially spark a commodity boom. Crucially, he advocates for active participation in AI, stating AI will replace humans who do not use AI, urging those facing job displacement to become entrepreneurs using AI tools immediately, as barriers to entry are now extremely low. ### AI's Economic Footprint - Capital expenditures on AI are tracking over $500 billion by 2026, focused on compute and power, leading to severe bottlenecks in transformers and cooling systems - The current GDP strength reflects past investment, with exponential demand increases seen (e.g., Google's token needs up 90x in one year). ### The 'Bubble' Debate and Concentration - Visser rejects the bubble label because the economic benefits are highly concentrated (K-shaped economy), unlike historical bubbles; he notes the top 1% own one-third of assets while consumer confidence remains near historic lows. ### Creative Destruction in AI - Visser embraces creative destruction, predicting that most companies spending heavily on the AGI race, possibly even most of the Magnificent 7, will fail as only one winner may emerge; this spending is currently consuming free cash flow. ### US-China Geopolitical AI Race - China leads in hardware supply, drones, and EVs, controlling 90%+ of rare earth processing, which is militarily critical; the US advantage lies in its ability to attract global talent, making the relationship a complex linkage rather than a simple win/loss scenario. ### Labor Market Transition - The immediate future (next five years) presents a difficult adjustment period with wage pressure, though Visser believes human connection jobs will persist and work weeks will likely decrease, contrasting with dystopian predictions of total job elimination. ### Investor Positioning and Bitcoin Thesis - For the next few years, investment focus must be on compute and power, specifically highlighting gas turbines as a bottleneck play - Visser calls Bitcoin the "purest AI investment play" because its scarcity provides a hedge against the energy and resource demands of the AI sector.