Sam Altman just raised $500 billion for Project Stargate, his quest for artificial general intelligence. The pitch: AGI will solve everything, so any investment, no matter how large, is justified. Meanwhile, a Chinese competitor, DeepSeek, achieved similar results for just $6 million. Nvidia's stock plummeted nearly 20% in a few days, and what many believe is the AI bubble has started to burst. But here's the interesting part: even as hundreds of billions in market value evaporate, the major players will likely walk away richer than ever. Turns out this is a common pattern in asset bubbles. If they know what they're doing, people still get rich even when the bubble bursts. So, let's explore how the wealthy exploit these bubbles, starting with the first and most crucial step: spotting the next revolution before everyone else does.

Getting rich during asset bubbles starts with a simple truth: find the next big thing before everyone knows it's the Next Big Thing. This means identifying potentially revolutionary technologies or markets when they're still unproven, when most people are still skeptical, and the technology itself might be rough around the edges. History shows us how this plays out. During the dot-com bubble, Jeff Bezos and Pierre Omidyar saw something most people missed: the internet wasn't just a fancy way to send emails, it was going to transform how we buy and sell everything. Their companies, Amazon and eBay, weren't profitable at first. Amazon's early nickname was "amazon.bomb"—talk about a vote of confidence. But they understood that revolutionizing retail was worth more than immediate profits.

This pattern keeps repeating. In crypto, Vitalik Buterin and Satoshi Nakamoto pitched a radical idea: what if we could have money and financial systems without banks? With AI, companies like Nvidia bet big on producing specialized chips years before anyone was asking ChatGPT to write their resignation letters. Even the real estate bubble followed this rule: early investors in mortgage-backed securities thought they discovered a new foolproof way to invest in housing. Spoiler alert: nothing in finance is foolproof. But here's the crucial point: in each case, early investors weren't betting on what these technologies could do at the time; they were betting on what these technologies promised to become. The technology doesn't need to be perfect; it just needs to be revolutionary enough to make people believe it could change everything. And that leads us to our next step in the bubble playbook: once you've found your revolutionary idea, how do you convince everyone else it's going to change the world?

Once you've spotted your potentially world-changing technology, the next step is arguably the most crucial: selling the dream. It's not enough to have a revolutionary idea; you need to convince everyone else that this revolution is inevitable. In the world of asset bubbles, this means painting a picture of a utopian future so compelling that it makes current limitations seem like mere speed bumps on the road to paradise. Consider how the dot-com bubble turned every website into a potential Amazon. Pets.com wasn't just selling pet food online; they were revolutionizing pet care for the digital age. Never mind that shipping 50 lb bags of dog food at a loss wasn't exactly a sustainable business model. The vision of clicking a button and having everything delivered to your door was too seductive to resist.

The crypto bubble mastered this art of narrative. Ethereum wasn't merely a new technology; it was freedom from banks, governments, and all those pesky middlemen taking their cut. The fact that most people were buying crypto purely to sell it for more traditional money later was apparently beside the point. Now we're seeing the same pattern with AI. Companies aren't just developing algorithms; they're promising to solve everything from cancer to climate change. Google and Microsoft aren't selling software updates; they're selling a future where AI handles all the grunt work while humans focus on higher pursuits.

Here's the key thing about these visions: they aren't necessarily lies. The internet did revolutionize commerce. Cryptocurrency is changing finance. AI will transform industries. The flaw isn't in the vision itself, but in the oversimplified path to getting there. Real transformation requires rewriting social contracts and changing ingrained behaviors – minor details that don't make for great sales pitches. But selling the dream is only part of the equation. To really profit from a bubble, you need something more concrete.

While dreamers sell visions of Utopia, the real money in bubbles often comes from selling the tools to build that Utopia. These are the shovel makers – the companies and individuals who create the essential infrastructure that helps a speculative bubble grow. Think of them as the clever merchants who got rich selling pickaxes during the Gold Rush. While most prospectors went broke hunting for gold, in the bubble, companies like Akamai Technologies were the quiet winners. While Amazon was burning cash trying to revolutionize retail, Akamai was profitably building the content delivery networks that made the internet actually usable.

Today's equivalent in crypto would be Coinbase and Binance – exchanges that make money regardless of whether Bitcoin goes to the moon or crashes back to Earth. They profit from every trade in both directions. Nvidia perfected this strategy in the AI boom. While everyone debates whether AI will achieve consciousness, Nvidia sits back and sells the chips that power every major AI model. Their GPUs are the modern-day pickaxes, and they're selling them at a premium to every prospector in town. Even the housing bubble had its infrastructure players: mortgage brokers, appraisers, and real estate agents made fortunes by facilitating deals, regardless of whether the underlying properties were actually worth their inflated prices.

Here's the beauty of the shovel strategy: while it might seem less exciting than betting on the next Amazon or Bitcoin, it's often more reliable. After all, in a gold rush, you don't need to find gold yourself; you just need others to keep believing they might find it. But to really amplify these gains, you need bigger players to enter the game. That's where institutional investors come in.

Once you have your revolutionary technology, a compelling narrative, and the infrastructure to support it, it's time to bring in the big guns: institutional investors. These aren't your regular retail investors buying stocks on Robinhood; these are the heavyweight firms with billions to deploy. Their entry does two things: it legitimizes your bubble and, more importantly, inflates valuations to astronomical levels. Remember when Goldman Sachs and Deutsche Bank poured billions into dot-com IPOs? Suddenly, companies like Webvan and Pets.com weren't just ambitious startups; they were transformative enterprises worth billions on paper. Never mind that they were burning cash faster than a Bitcoin mining rig in the Sahara.

The crypto world saw the same pattern when MicroStrategy, Tesla, and major investment firms started buying Bitcoin. Their involvement wasn't just about investment; it was about validation. Each announcement sent prices soaring, creating a feedback loop of FOMO and speculation. Now look at AI. Microsoft's multi-billion dollar investment in OpenAI didn't just give Sam Altman's company a sky-high valuation; it signaled to every other institutional investor that AI was the next Gold Rush. The result: an unprecedented flood of capital into anything with AI in its pitch deck.

What makes institutional investment so powerful is its self-fulfilling nature. When big players invest, they're incentivized to maintain or increase the value of their investments. They have the resources and influence to keep the bubble inflating, at least until they can position themselves for a profitable exit. And that's where we get to the most crucial skill in bubble riding: knowing when to get out.

Timing your exit is the difference between being Mark Cuban and being the person who bought Broadcast.com stock right before the crash. Cuban sold his company to Yahoo for $5.7 billion in 1999, just months before the dot-com bubble burst. While everyone else was watching their portfolios evaporate, Cuban was watching the Dallas Mavericks from his newly purchased courtside seats. This is where the true art of bubble riding comes in. The trick isn't just recognizing when valuations have become absurd – they're usually absurd from the start. It's recognizing when the narrative that's been driving the bubble starts to crack.

It's about noticing when revolutionary technology headlines start getting replaced with "is it really worth this much?" articles. During the crypto bubble, early Bitcoin investors who sold during the 2017 peak or the 2021 rally walked away with life-changing gains. Meanwhile, those who held on, believing in digital gold, watched their portfolios drop by over 70%. In real estate, investors who sold their properties in 2006, when everyone else was still buying, protected themselves from the 2008 crash that wiped out trillions in home equity.

But here's the uncomfortable truth about bubble exits: the insiders – VCs, institutional investors, and early adopters – usually have a significant advantage. They have better information, more influence, and often the ability to coordinate their exits. By the time the average investor realizes the bubble is bursting, the smart money has already left the building. However, creating and riding bubbles isn't just about getting in early and selling before the crash; there's one more crucial element that keeps the whole machine running: manufacturing FOMO.

The final ingredient in any successful bubble is pure psychological warfare: creating and maintaining fear of missing out (FOMO). FOMO isn't just a buzzword; it's the rocket fuel that propels asset bubbles to their dizzying heights. And the true masters of bubble riding aren't just participating in this psychology; they're actively engineering it. During the dot-com era, every new story about a college dropout becoming a millionaire created a new wave of investors afraid of missing the next Microsoft. In crypto, influencers and tech visionaries like Elon Musk could move markets with a single tweet, creating a constant fear that the next big pump was just around the corner.

Now, in AI, we see companies racing to announce their AI initiatives, each claiming to be at the forefront of a revolution that's inevitable and imminent. This manufactured FOMO creates a powerful feedback loop: as prices rise, media coverage intensifies; as coverage intensifies, more investors pile in; as more investors pile in, prices rise further. The cycle continues until reality finally catches up with the narrative.

And this brings us to the fundamental truth about getting rich in asset bubbles: it's not about believing in the long-term potential of the technology; it's about understanding and exploiting the predictable psychology of market manias. The same patterns repeat because human nature doesn't change. Whether it's tulips in 1637 or AI in 2024, bubbles are built on the same foundation of early adoption, compelling narratives, infrastructure plays, institutional validation, and carefully manufactured FOMO. Yes, most of these revolutionary technologies do end up changing the world. The internet did transform commerce. Blockchain is reshaping finance. AI will likely revolutionize countless industries. But the fortunes made during bubbles rarely come from waiting for these long-term transformations. They come from understanding this framework, recognizing where we are in the cycle, and most importantly, knowing when to stop playing the game.