The Bitcoin Rotation No One Sees Coming | Jordi Visser - The Pomp Podcast Recap

Podcast: The Pomp Podcast

Published: 2026-02-14

Duration: 21 minutes

Guests: Jordi Visser

Summary

Jordi Visser argues that AI is driving deflation and disrupting traditional software companies, while Bitcoin stands out as a unique growth asset in a world of abundant intelligence.

What Happened

Jordi Visser, a veteran macro investor, challenges Cathie Wood's perspective on deflation and the impact of AI on the market. He strongly disagrees with her view that the pullback in tech stocks is a temporary blip, asserting that AI's impact is permanent and transformative.

Visser elaborates on the deflationary effects of AI, explaining that it is driving down the defensibility of traditional software companies. He highlights the rapid advancement of AI models like Opus 4.6, which are creating a 'supersonic tsunami' in the market, fundamentally altering the landscape.

The conversation touches on the challenges faced by tech giants like Google and Microsoft in monetizing AI due to infrastructure limitations, such as data center shortages. Visser warns that these hyperscalers are facing significant risks, as they struggle to keep up with the demands of AI agents.

He points out the scarcity trade, emphasizing Bitcoin's unique position as a scarce growth asset amidst a sea of abundant intelligence and software. Visser predicts that Bitcoin will eventually outperform as software stocks bottom out and investors turn to digital assets.

Visser advises investors to examine their portfolios, as many hold significant positions in software stocks, which are at risk due to AI-driven market changes. He suggests that investors should be cautious and consider the implications of AI on their holdings.

The episode also delves into the practical use of AI for investors. Visser encourages listeners to integrate AI into their daily routines, emphasizing its potential to enhance decision-making and uncover opportunities.

Finally, Visser shares his insights on the increasing importance of cryptography and Bitcoin in securing digital transactions, given the growing capabilities of AI models to break into systems and potentially compromise security.

Key Insights

• Jordi Visser challenges Cathie Wood's deflation outlook by asserting that AI's permanent impact on tech stocks is a structural shift, not just a temporary blip. This tension highlights the contrasting views on AI's role in market dynamics.
• The rapid advancement of AI models like Opus 4.6 is reshaping the software industry, eroding the defensibility of traditional companies. Visser calls this shift a 'supersonic tsunami' that is permanently altering the landscape.
• Tech giants like Google and Microsoft face significant risks in monetizing AI due to data center shortages. Visser warns that these infrastructure limitations could hinder their ability to keep up with AI demands, posing a threat to their dominance.
• Bitcoin emerges as a scarce growth asset in a world saturated with intelligence and software. Visser predicts its outperformance as investors shift focus from bottoming software stocks to digital assets.

Key Questions Answered

What does Jordi Visser say about the impact of AI on software stocks on The Pomp Podcast?

Jordi Visser argues that AI is permanently disrupting traditional software companies by driving deflation and challenging their defensibility. He believes this transformation is not temporary, as AI creates a 'supersonic tsunami' in the market.

How does Jordi Visser view Bitcoin on The Pomp Podcast?

Visser views Bitcoin as a scarce growth asset in a world of abundant intelligence. He predicts that Bitcoin will eventually outperform as software stocks bottom out, attracting investment from public companies and wealth management firms.

What challenges do tech giants face in monetizing AI according to Jordi Visser?

Visser highlights that tech giants like Google and Microsoft face infrastructure limitations, such as data center shortages, which hinder their ability to monetize AI effectively. These hyperscalers are at risk as they struggle to meet the demands of AI agents.