# The AI Bubble Myth: Why Everyone Is Getting It Wrong w/ Jordi Visser

Source: https://www.youtube.com/watch?v=_7zCT2_FUjY
Recap page: https://rapidrecap.app/video/_7zCT2_FUjY
Generated: 2025-10-15T00:03:34.038+00:00

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## Quick Overview

Jordi Visser argues that the current AI boom is fundamentally different from past speculative bubbles like the Dot-Com era because the massive capital expenditures are tied to tangible compute and power needs, meaning the underlying investment is not purely speculative, although he acknowledges that many current AI companies are overvalued and face a high risk of failure.

**Key Points:**
- AI capital expenditure is on track for over $400 billion in 2024 and $500 billion in 2025, significantly higher than the Dot-Com bubble's peak.
- The core driver of AI CapEx is compute and power, encompassing data centers, cooling systems, semiconductors, and transformers, unlike the pure speculation of the Dot-Com era.
- Visser predicts that over 50% of the companies spending heavily on AI today will fail, citing high debt levels and negative free cash flow yields among many.
- He compares the current situation to the Dot-Com bubble, noting that while many companies failed, the underlying technology (the internet) proved transformative, suggesting AI will be similarly disruptive.
- The concentration of wealth is extreme: the top 1% own one-third of assets, while the bottom 50% own very little, contributing to the K-shaped economy argument.
- Visser suggests that while the term 'bubble' is often used as clickbait, the reality is a massive, concentrated investment cycle where many participants will fail, but the core technology will win.

![Screenshot at 00:00: John Gillen of Milk Road Macro interviews Jordi Visser of Visser Labs and 22V Research to discuss the sustainability and nature of the AI investment boom.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-00-00.png)

**Context:** The discussion takes place between John Gillen and guest Jordi Visser, who runs Visser Labs and 22V Research. They analyze the massive capital expenditures currently flowing into Artificial Intelligence (AI) infrastructure and debate whether this spending spree constitutes an economic bubble comparable to the Dot-Com era, focusing on the tangible components driving the investment.

## Detailed Analysis

Jordi Visser asserts that the current AI investment cycle is not a traditional bubble because the spending ($400B+ in 2024, projected $500B+ in 2025) is directed toward real infrastructure needs: compute power, data centers, cooling systems, semiconductors, and transformers. This is a fundamental difference from the Dot-Com bubble, where investments were often speculative without immediate underlying physical infrastructure needs. Visser, however, predicts a massive shakeout, estimating that over 50% of the companies currently spending heavily on AI will fail within five years because they lack revenue, are overvalued, and carry significant debt. He agrees with Mark Zuckerberg's sentiment that companies are willing to spend billions on AI for a chance to win big, but notes that this creates a race to obsolescence where many will lose. Visser points out that the concentration of wealth—the top 1% owning one-third of assets while the bottom 50% own almost nothing—is fueling a K-shaped economy, and the current AI spending dynamic is an output of this structure, not necessarily a sign of a broad market bubble, though individual AI companies are certainly vulnerable.

### AI Capital Expenditure Projections

- Over $400 billion expected in 2024 and over $500 billion in 2025
- This spending is driven by compute and power needs (data centers, cooling, semiconductors, transformers)
- Contrasts with the Dot-Com bubble's less tangible investment basis.

### Bubble vs. Reality

- Visser dismisses the 'bubble' label as clickbait, but acknowledges massive failure risk
- Predicts over 50% of current AI spenders will fail within five years due to lack of revenue and high debt
- Compares the situation to the Dot-Com era where the underlying technology (Internet) proved transformative despite widespread company failures.

### Economic Context

- The current environment reflects a highly concentrated economy where the top 1% own one-third of assets
- This leads to a K-shaped economic outcome, where some benefit immensely while others are left behind.

### Investment Risk and Outcome

- The competitive race in AI leads to massive spending that many companies cannot sustain
- Visser is willing to bet that the majority of these companies will not survive the next five years.

![Screenshot at 0:00: John Gillen hosts Jordi Visser for a discussion on AI capital expenditures and market bubbles.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-00-00.png)
![Screenshot at 0:18: John Gillen references Visser's newsletter projecting over $400 billion in AI capital expenditures for 2024.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-00-18.png)
![Screenshot at 0:42: Jordi Visser explains that data centers involve many components like compute and power, differentiating it from pure speculation.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-00-42.png)
![Screenshot at 1:16: Visser notes that power capacity is being used up, which will show up as constraints next year.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-01-16.png)
![Screenshot at 1:54: Visser states that the economic impact seen now is the lagging side, as everything is still being built up.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-01-54.png)
![Screenshot at 2:23: Visser lists specific bottleneck areas in AI infrastructure, including cooling systems, transformers, and DRAM.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-02-23.png)
![Screenshot at 3:32: Visser contrasts the current situation with historical bubbles, noting that Disney stopped building movies themselves because it was more economical to outsource.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-03-32.png)
![Screenshot at 4:09: Visser mentions that no one anticipated the magnitude of AI growth seen in the last 6-7 years.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-04-09.png)
![Screenshot at 4:50: Visser highlights that the AI bubble talk is focusing on revenue supporting valuations, which he finds concerning.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-04-50.png)
![Screenshot at 5:52: Visser points out that the internet exposed people to new technologies, similar to what is happening now.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-05-52.png)
![Screenshot at 6:07: Visser laughs off the term 'bubble' as a joke, asserting that the underlying investment is real infrastructure.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-06-07.png)
![Screenshot at 6:53: Visser highlights extreme wealth concentration: the top 1% own one-third of assets, while the bottom 50% own very little.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-06-53.png)
![Screenshot at 8:33: Visser discusses Mark Zuckerberg's willingness to spend billions gambling on AI dominance.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-08-33.png)
![Screenshot at 11:54: A graphic appears summarizing the Milk Road Macro Pro newsletter, related to the discussion.](https://ss.rapidrecap.app/screens/_7zCT2_FUjY/00-11-54.png)