Money Rehab with Nicole Lapin

Are We in an AI Bubble? Here's the Honest Answer

9 min
Mar 9, 2026about 1 month ago
Listen to Episode
Summary

Nicole Lapin examines whether we're in an AI bubble, comparing current market conditions to the dot-com era. She analyzes sky-high valuations, circular financing, and warns that while some AI companies show bubble characteristics, established tech giants have real profits unlike dot-com companies.

Insights
  • AI market shows partial bubble characteristics with unprofitable startups having soaring valuations, but differs from dot-com era because leading AI companies are already profitable
  • Current stock market valuation to GDP ratio exceeds 200%, higher than the 150% seen during the dot-com bubble peak
  • Circular financing exists in AI sector, with companies like Nvidia investing in startups that then purchase Nvidia products, inflating perceived demand
  • Diversification strategy should focus on 'picks and shovels' companies rather than headline-grabbing AI startups
  • Not every AI company will succeed, but the underlying AI transformation thesis may still prove correct long-term
Trends
Global AI spending projected to reach $500 billion by 2026Hyperscalers investing hundreds of billions in AI infrastructureAI market correction occurred in late 2025, potentially entering more sustainable phaseShift from speculative AI investments to focus on profitable enabler companiesIncreased scrutiny of AI company valuations and business fundamentalsGrowing concern about AI bubble parallels to dot-com eraMarket concentration risk with single companies driving major index gains
Companies
Nvidia
Highlighted for record earnings, 3,300% stock growth, and investments in startups that buy its chips
OpenAI
Valued at $750 billion despite projected losses through 2029 and $500 billion data center investment
Palantir
Trading at PE ratio near 400, used as example of potentially overvalued AI company
Microsoft
Named as profitable hyperscaler investing hundreds of billions in AI infrastructure
Amazon
Identified as hyperscaler pouring hundreds of billions into AI infrastructure development
Meta
Listed as hyperscaler making massive AI infrastructure investments
Alphabet
Described as profitable cash flow machine and hyperscaler investing in AI infrastructure
Oracle
Recently borrowed $18 billion to fund AI infrastructure as massive bet on future returns
Core Weave
Startup that received Nvidia investment and purchases Nvidia chips, creating circular financing
Cisco
Dot-com era darling still worth less today than at peak 25 years ago, used as cautionary example
UBS
Provided projection that global AI spending will reach $500 billion by 2026
VanEck
Fund management firm whose CEO believes AI bubble corrected in late 2025
People
Nicole Lapin
Host analyzing whether current AI market conditions constitute a bubble
Bill Gates
Warns not every company will be AI winner and reasonable percentage of AI stocks can't back up valuations
Jan VanEck
VanEck CEO believes AI bubble already corrected in late 2025, entering sustainable phase
Warren Buffett
Created market valuation indicator comparing total stock market value to GDP
Quotes
"reasonable percentage of today's AI stocks can't back up their valuations"
Bill Gates
"Not every AI company is going to be a winner. So we need to plan and diversify accordingly"
Nicole Lapin
"In 1999, the market was betting on the Internet, changing everything. It was right about that. It just bet wrong on the companies"
Nicole Lapin
"Maybe partially. There is a credible argument that some parts of the AI market are in bubble territory"
Nicole Lapin
Full Transcript
2 Speakers
Speaker A

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Speaker B

I'm Nicole Lapvin, the only financial expert you don't need a dictionary to understand It's Time for Some Money. Are we in an AI bubble? Well, for a year now, that has really been the trillion dollar question. Depending on who you ask, the answers range from of course we are to no. AI is obviously going to the moon. And honestly, both sides have some pretty solid points. Bill Gates warns that not every company is going to be an AI winner, and that a quote, reasonable percentage of today's AI stocks can't back up their valuations. Jan VanEck, the CEO of Fund Management firm Vaneck, is more of an optimist here. He believes that the AI bubble already had a correction in late 2025, and now we're entering a more sustainable phase two too. Experts, though, are really split and both sides cannot be right. So let's take a look at what's actually happening. According to UBS, global AI spending is set to reach $500 billion by 2026. Microsoft, Amazon, Meta and Alphabet, aka the hyperscalers, are pouring hundreds of billions of dollars into AI infrastructure, and companies like Nvidia are pulling in record earnings. The concern is that the valuations and investment behind these companies aren't driven by the financial fundamentals, but actually driven by H and momentum. And there's reason to be worried about that. Palantir, for example, a data integration and analytics platform, is trading at a PE ratio near 400, which is 16 times higher than the average of the S&P 500. Now, a PE ratio measures how much investors are willing to pay for each dollar of a company's earnings. So Palantir investors are willing to pay $400 for every $1 of earnings. It sounds crazy, but the rationale is that investors are comfortable paying a massive premium today because they believe company's future earnings will grow dramatically. But that's a level of optimism that might be hard to deliver on. And that's where investors start to worry about something being overvalued. If a company with a high PE doesn't end up growing fast enough, the stock can fall sharply as expectations reset. For investors, buying into companies that appear overvalued can mean taking on more risk, not because the business is bad, but because the price already assumes near perfection. And when perfection doesn't show up, valuations tend to come all the way back down to earth. These observations are giving some investors.com bubble deja vu the dot com era was a period in the 90s when Internet stocks became way overhyped. The bubble popped, and In October of 2002 the NASDAQ was 77% lower than it was during the dot com peak in March of 2000. So the big fear, especially for investors who have been around for a while, is that the AI bull run is just.com bubble 2.0. And there are definitely some similarities that are hard to ignore. Like sky high valuations. Just like in the late 1990s, investors are putting massive price tags on companies that aren't yet profitable. OpenAI, the parent company of ChatGPT, for instance, was recently valued at around $750 billion. Despite projected losses through the end of the decade. OpenAI is planning on investing $500 billion in data centers over the next few years, but it doesn't expect to turn a profit as a company until 2029. And in 2029, OpenAI is only expecting to profit. And then there are some funky circular finances. During the dot com bubble, companies would often book revenue through vendors who were also their investors or customers. We're seeing some of that today in the AI space. For example, Nvidia has made large investments in startups like Core Weave, which in turn buys Nvidia chips, creating a closed loop that inflates perceived demand. Another problem with bubbles is that they're often not as self contained as they sound. A popping bubble can be the start of something much bigger. The fact that Nvidia was responsible for around a fifth of the S&P 500 gains in 2025 means that if anything goes wrong with Nvidia, the entire stock market is going to feel the pain. If the stock market is overvalued, that's when investors start worrying about crashes. Warren Buffett actually created an indicator for this. He looks at the total stock market valuation divided by gdp. So basically how big the stock market is compared to the entire economy. Historically when this ratio go goes above 100%, markets are overvalued. The indicator was 150 during the dot com bubble and now we are over 200. But here's what's different. Unlike the dot com era, many of today's AI leaders are already profitable. So maybe open AI is not going to be profitable until 2029. But Nvidia, Microsoft and Alphabet, they are cash flow machines. Nvidia's earnings have grown even faster than its stock price which has risen 3, 1300% in five years. And its PE ratio has dropped from over 200 to around 45. This cash flow point is an important one because it means that these companies can fund their own growth without relying solely on taking on debt or investors money. To be clear, there is definitely debt in AI. Oracle recently borrowed $18 billion to fund its AI infrastructure. That is a massive bet on future returns. If those returns don't materialize, that is a lot of leverage to unwind. Are we in a bubble? Well, here is the best honest answer. Maybe partially. There is a credible argument that some parts of the AI market are in bubble territory, especially unprofitable startups with soaring valuations and unclear paths to monetization. And circular financing deals and excessive leverage are definite red flags. But unlike the dot com bust where many leading companies had no profits or any real business models, the AI wave is anchored by giants with real revenue, disciplined capital allocation and robust balance sheets. Think of it like this. In 1999, the market was betting on the Internet, changing everything. It was right about that. It just bet wrong on the companies. Cisco, the darling of the dot com era, is still worth less today than it was at its peak 25 years ago. But the Internet, it did fundamentally change the world. And the same thing could happen with AI. The thesis might be right even if many current players don't survive. So I like Bill Gates's guidance. Not every AI company is going to be a winner. So we need to plan and diversify accordingly. For today's tip, you can take straight to the bank. If you want to ride the AI wave without wiping out, don't go all in on the loudest names with the biggest headlines. Instead, look for the enablers, the companies that provide the picks and shovels, so to speak. In this AI gold rush, that might be the semiconductor manufacturers, data center infrastructure plays or cloud providers with proven revenue streams.

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