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If Ray Dalio is right, the biggest investment story of the decade could be heading toward a very painful reality check. And no, he [clears throat] is not saying that AI is fake. He's saying something much much much more dangerous. AI could be revolutionary and still be a bubble. Dalio has just warned that the current AI boom has the characteristics of a classic bubble and that if expectations, returns, regulations, or financing conditions turn against the sector, the market could correct hard.
And he has also warned that higher interest rates make highly valued capital-hungry companies much more vulnerable. But hey, why should we pay attention when Ray Dalio says this? Well, I'll tell you why. Dalio founded Bridgewater Associates in 1975 and built it into one of the world's most important and largest hedge funds.
His entire investment philosophy is based on studying economic cycles, debt cycles, and financial bubbles across decades. And obviously, comparing what is happening today with what has happened in the past. And this is exactly what he's doing with AI. Just imagine this for a second. You wake up tomorrow and the biggest AI stocks are down 10%, then 15, and then 25%.
Startups that were worth billions of dollars suddenly can't raise any money. Data center projects get completely canceled and chip orders are cut. And because AI-linked companies now have an enormous influence on the stock market, well, your ETF drops, too. Even if you never bought a single AI stock.
This is the scenario that investors need to understand. Dalio's argument is actually pretty simple if we think about it. When a technology appears that could genuinely change the world, investors rush to fund it, and companies obviously rush to build it. That's normal and right. Then everyone assumes the future growth will justify almost any valuation of the companies.
More money enters the companies, and prices rise. More investors see those prices rising and think, "I need to get in before it's too late." And suddenly, you are no longer investing based only on what a company earns today, you are paying for what you hope it can earn 5, 10, 15 years from now. And Dalio's warning is that this pattern has happened before.
New technologies can be real, and the productivity gains can also be real, and the bubble can still be real. Think about the dot-com boom. The internet absolutely changed the world. Tech giants like Amazon and Google came up on top, but that did not stop the Nasdaq from collapsing when investors realized that they had paid ridiculous prices for companies that could not justify them.
And that is the key idea here. A technology being revolutionary does not mean that every company connected to that technology is worth just about any price. Dalio has said that great technologies often attract massive investments, then overinvestment, then debts, and eventually a bust when expectations outrun the reality.
And now, look at AI today. Companies are spending enormous amounts on chips, data centers, energy infrastructure, and model development. Investors are assuming these investments will eventually generate huge profits. But what happens if those profits take longer than expected? What happens if companies discover that AI is incredibly useful, but not profitable enough to justify hundreds of billions of spending?
What happens if regulation slows deployment, which we already see happening, or if interest rates stay high and financing becomes more expensive? That is when the story can change dramatically quickly, and markets don't need AI to fail completely for the bubbles to burst. They simply need investors to lower their expectations.
That's it. Now, let's say a company is trading at a huge valuation because investors expect profits to explode over the next 5 years. Let's say that earnings come in slightly weaker than expected. Nothing catastrophic. The business is still obviously growing, and AI is still useful. But, all of the sudden, investors decide, "You know what?
Maybe this company deserves 30 times earnings, not 60." And this is exactly how the valuation collapses. And the stock price can fall dramatically even while the underlying business remains perfectly healthy, just because one earning report came in lower than expected. That is how bubbles often burst.
Now, imagine that happening across an entire sector at the same time. Not just one company, the entire sector. The first impact would likely be on the most expensive AI-related stocks. Then would come the semiconductor company, followed by data centers and suppliers. Then it would hit the speculative AI startups.
Funding would become harder, and companies would cut spending. Hiring would slow down, and some businesses would fail. And at this point, investors, what would do? They would sell anything that is closely connected to the AI theme. Now, the second effect could be broader. Major stock indices are heavily influenced by large technology companies.
So, if the biggest AI-linked names fall sharply, broad market ETFs can fall with them. You could own a diversified index fund and still feel the shock. And the third effect would be psychological. And this is where bubbles really become dangerous. When prices go up, people become comfortable taking more risk.
You know, the trend is upwards. So, you know, people become more comfortable. When prices suddenly fall, the exact opposite happens. Investors sell, banks lend less, companies delay investment, and the fall in asset prices starts affecting the real economy. Now, does this mean that AI is about to crash tomorrow?
Probably not. And Dalio himself is not saying that AI has no value. In fact, he believes AI could create extraordinary productivity gains and can better the future for us. His point is that both those things can be true at the same time. AI can transform the economy, and investors can still overpay for it.
And that distinction matters enormously. So, do you think that the bubble is popping? Or maybe there's no bubble at all? What do you think?
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