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From Dot-Com to Dot-Bot: Is AI the Biggest Gold Rush Yet?

Dieser Artikel ist auf Englisch.

TL;DR

Every decade or so, a new technology shows up and everyone loses their minds. First it was dot-coms. Then crypto. Now it’s AI. This article walks through the pattern of tech gold rushes, examines what made the winners actually win, and tries to figure out if AI is the real deal or just another bubble waiting to pop. Spoiler: it’s probably both.


🔥 Introduction

Remember when adding „.com“ to your company name could triple your stock price overnight? That actually happened. In the late 90s, investors were throwing money at anything with a website like prospectors staking claims in the California Gold Rush. Most of those companies are dead now. But a few struck actual gold and became the trillion-dollar giants we can’t imagine life without today.

Here’s the thing about gold rushes: they follow a pattern. New technology emerges. Early adopters make absurd amounts of money. Everyone else rushes in. Most people lose their shirts. A few winners reshape the world. Rinse and repeat.

We’ve seen this movie four times now. The internet boom. The mobile app explosion. The crypto frenzy. And now, AI. Each time, the stakes get higher, the valuations get crazier, and everyone swears „this time is different.“

So is AI different? Or are we all just panning for digital fool’s gold again?


The Internet Boom: When .com Meant Gold

The late 1990s were wild. You could literally add „.com“ to your business plan and watch investors fight over who got to give you money. New websites were popping up every hour. Most of them had no real business model. Many didn’t even have revenue. But they had vision, and that was apparently enough.

The bubble burst in 2000, and the carnage was spectacular. Companies that had been worth billions vanished overnight. Pets.com became the poster child for irrational exuberance (they spent millions on a Super Bowl ad before they had figured out how to actually make money selling dog food online). Thousands of startups folded. Fortunes evaporated.

But here’s what people forget: some prospectors actually found gold.

Take Amazon. Jeff Bezos started selling books out of his garage in 1995. By 1996, Amazon was doing $15.7 million in sales. Not bad for an online bookstore. By 1999, as the bubble was reaching peak insanity, that number had jumped to $1.64 billion. Then the crash came, and everyone thought Amazon was toast. Bezos kept his head down and kept building. By 2023, Amazon was pulling in over $570 billion a year. Turns out, the internet actually was good for commerce. Who knew?

Or look at Google. Two Stanford grad students built a better search engine in 1998. Cool, but how do you make money from search? Their answer: targeted advertising. In 2001, Google’s AdWords platform brought in about $70 million. Fast forward to 2019, and Google was raking in $133 billion a year just from ads. They literally figured out how to print money by showing you ads when you search for pizza near you.

Then Facebook showed up in 2004. Mark Zuckerberg built it in his Harvard dorm room as a way for college kids to rate each other’s hotness (yes, really). Within eight years, Facebook had a billion users. By 2021, revenue hit $117 billion. All because Zuckerberg understood something fundamental: people will spend ungodly amounts of time looking at what their friends are doing, and advertisers will pay ungodly amounts of money to show ads to those people.

These weren’t lucky guesses. Amazon bet that people would rather click than drive to a store. Google bet that attention plus targeting equals money. Facebook bet that social connection is addictive. They were right, and they got obscenely rich because of it.


Crypto and NFTs: Digital Gold or Digital Trash?

After the internet gold rush settled down, things were quiet for a while. Then around 2009, some mysterious person (or people) using the name Satoshi Nakamoto released Bitcoin. It was a digital currency that didn’t need banks. You could mine it on your laptop. Early on, it was worth basically nothing. Tech nerds traded it for fun.

Then people started actually buying it. And then more people. And then suddenly everyone wanted in. By late 2021, one Bitcoin was worth almost $70,000. Let me say that again: something you could once mine on your home computer was worth more than a new car. People who had bought Bitcoin at a dollar and held on became millionaires. The gold rush was back, baby.

But Bitcoin was just the start. Thousands of other cryptocurrencies popped up. Ethereum introduced smart contracts (basically, programmable money). Dogecoin started as a literal joke based on a meme of a Shiba Inu, and then somehow skyrocketed in value because Elon Musk tweeted about it. The whole thing felt like the Wild West, except everyone wore hoodies instead of cowboy hats and the saloons were Discord servers.

Were there fortunes to be made? Absolutely. Were there also scams, pump-and-dump schemes, and complete garbage projects? Also absolutely. Bitcoin has crashed more than 50% multiple times. Lots of people who bought at the peak lost everything. But the early adopters who held on? They made out like bandits.

Then in the early 2020s, crypto spawned an even weirder offspring: NFTs. Non-fungible tokens. Unique digital collectibles stamped on the blockchain. Suddenly people were paying millions of dollars for JPEGs of cartoon apes.

The Bored Ape Yacht Club became the symbol of this insanity. It was a collection of 10,000 computer-generated ape pictures. Owning one became a status symbol. Celebrities bought them. In 2021, a lot of 101 Bored Apes sold at Sotheby’s for $24.4 million. Twenty-four million dollars. For ape cartoons.

At the peak in August 2021, the biggest NFT marketplace (OpenSea) did $3.4 billion in trading volume in a single month. That was ten times the volume from the month before. It felt exactly like tulip mania, except instead of rare flowers, people were trading rare pixels.

Of course, the NFT market crashed hard in 2022. A lot of people who bought in at the top got burned. But that’s the gold rush pattern, right? Early prospectors strike it rich. Latecomers chase the hype and get wrecked. The technology sticks around in some form, but most of the projects fade into obscurity.

Crypto believers will tell you blockchain is like the internet in the 90s and we’re still early. Skeptics will tell you it’s all a Ponzi scheme. The truth is probably somewhere in the middle. Either way, it was one hell of a ride.


The AI Wave: ChatGPT Breaks the Internet

Then came November 2022. OpenAI released ChatGPT to the public, and the internet collectively lost its mind.

ChatGPT was different. It wasn’t some niche tool for researchers. Anyone could try it. You just typed a question and this AI would answer like it actually understood you. It could write essays, debug code, explain quantum physics, come up with business ideas, write poetry. It wasn’t perfect, but it was shockingly good. And it was free.

Within two months, ChatGPT hit 100 million users. To put that in perspective: TikTok took nine months to hit that number. Instagram took over two years. ChatGPT did it in 60 days. It was the fastest-growing consumer app in history. The AI gold rush had officially begun.

Suddenly everyone was talking about AI. Your parents. Your Uber driver. Random people at coffee shops. „Have you tried ChatGPT?“ became the new „Have you seen that TikTok?“ The hype was real and it was everywhere.

And just like that, the venture capital floodgates opened. In the first quarter of 2025 alone, AI startups pulled in $59.6 billion in funding. That was 53% of all venture capital invested that quarter. More than half. Investors were literally throwing money at anything with „AI“ in the pitch deck.

New AI startups were getting unicorn valuations (over $1 billion) faster than you could say „machine learning.“ It felt like the dot-com boom all over again, except this time the magic words were „powered by AI“ instead of „powered by the internet.“


AI Coding Tools: The New Billionaire Factory

Nowhere was the frenzy more obvious than in AI coding assistants. These tools help programmers write code faster by suggesting completions, catching bugs, and basically acting like a really smart pair programmer.

A company called Anysphere built one called Cursor. They launched in 2022. By 2025, they raised a massive $900 million round at a $9 billion valuation. Nine billion dollars. For a company that’s three years old.

Another startup, Windsurf (previously called Codeium), built a similar tool. By 2025, OpenAI bought them for about $3 billion. Just months earlier, Windsurf had been valued at $1.25 billion. They more than doubled their valuation in the time it takes most companies to ship a product update.

These numbers are bonkers. But they’re not outliers. The AI gold rush is minting new billionaires left and right.

Inflection AI raised $1.3 billion within a year of being founded and hit a $4 billion valuation. Anthropic (the company behind Claude) got a $4 billion investment from Amazon. OpenAI itself is reportedly being valued at around $300 billion as it seeks new funding. For context, that’s more than McDonald’s, Nike, or Costco.

This is peak gold rush behavior. Everyone’s convinced AI is going to change everything, so they’re pouring money into picks and shovels (or in this case, GPUs and training data). The question is whether we’re panning for gold or just fools digging in the wrong spot.


The Gold Rush Pattern: Hype, Crash, Then What?

Here’s the thing about gold rushes: they all follow the same arc.

First, a new technology shows up and opens a door that was previously locked. The internet let you sell stuff globally without a storefront. Mobile apps let you build businesses in people’s pockets. Crypto promised money without banks. AI promises intelligence without humans (sort of).

Second, early explorers rush in and some of them strike it rich. Their success stories go viral. Amazon made Bezos the richest person on Earth. Bitcoin made random nerds into millionaires. Those stories are intoxicating.

Third, everyone else piles in. Investors, entrepreneurs, your uncle who still doesn’t understand what an app is. The hype cycle peaks. Valuations go completely nuts. Rational thinking goes out the window.

Fourth, reality hits. The bubble pops. Lots of people lose money. Companies fold. The winners consolidate. The hype dies down.

Fifth, the technology actually changes the world, just not in the way everyone expected. The internet didn’t make every dot-com rich, but it did transform commerce, communication, and media. Crypto hasn’t replaced banks, but blockchain is finding real uses in finance and supply chains. Mobile didn’t make every app successful, but it did put computers in everyone’s hands.

We’re somewhere between stage three and four with AI right now. The hype is at an all-time high. Money is flooding in. Everyone’s building. But we haven’t hit the crash yet. And we don’t know which AI companies will be the Amazons and which will be the Pets.coms.


So Can You Actually Strike Gold in AI?

Yes. But also, maybe not.

The opportunity is real. AI is legitimately transformative. It’s already writing code, designing graphics, discovering new drugs, automating customer service, and doing a thousand other things that used to require humans. The productivity gains are massive. The economic value is enormous.

If you have the right idea at the right time, you can absolutely strike gold. An enterprising team that figures out a clever way to apply AI to a real problem could become the next billion-dollar story. In that sense, the gold rush is justified. The technology is the real deal.

But here’s the catch: in every gold rush, most people don’t find gold. For every Amazon, there were hundreds of failed dot-coms. For every Instagram, there were thousands of forgotten apps. For every Bitcoin millionaire, there are ten people who bought at the top and lost everything.

AI will follow the same pattern. Not every AI startup will succeed. Not every investor will see returns. Hype leads to bubbles, and bubbles pop. That’s just how this works.

The technology will also face real challenges. Technical limits (AI can’t do everything we want yet). Regulatory hurdles (governments are already talking about AI safety rules). Ethical dilemmas (job displacement, bias in models, misuse). We’re still figuring out what AI can and can’t do, and there will be surprises. Some good, some bad.


How to Prospect Wisely

If you want to capitalize on the AI wave, whether by learning new skills, starting a business, or investing, here’s my advice: be enthusiastic, but don’t be stupid.

Be enthusiastic because this is a genuinely exciting time. AI is going to change how we work, create, and solve problems. There’s real opportunity here. Be bold. Build stuff. Experiment.

But don’t be stupid. Don’t throw money at something just because it has „AI“ in the name. Don’t quit your job to chase a half-baked idea. Don’t assume the hype will last forever.

Do your homework. Understand the technology, at least at a high level. Look for real value, not just clever marketing. Remember the lessons of past booms: the people who prosper most are often the ones selling the shovels. In the AI gold rush, that might be the companies providing cloud computing, AI infrastructure, or education for new AI skills.

There are lots of ways to participate beyond swinging for a home run on your first try. You can upskill and become more valuable as AI transforms your industry. You can use AI tools to 10x your productivity. You can invest in the infrastructure companies that enable AI, not just the flashy startups.

The AI era is often compared to the early internet. If that’s true, we’re maybe around 1995. The technology is exciting but not yet ubiquitous. The biggest winners probably don’t even exist yet. Many current players will evolve or disappear. For regular people, AI will bring changes as profound as smartphones did a decade ago.

There will be growing pains. Job disruptions. Ethical debates. Regulatory battles. But there will also be golden opportunities. New careers. New efficiencies. New services we can’t even imagine yet.


🎯 Conclusion

Calling AI „the next gold rush“ isn’t just hype. There’s real gold out there in the form of innovation that could improve nearly every field of human work. The rush is on. The excitement is real. The valuations are insane.

Will people strike gold? Some definitely will. But even if you’re not a founder or an investor, this moment matters. We’re watching a technology reshape the world in real time. Whether it delivers sustained prosperity or just a few shiny nuggets depends on how responsibly and creatively we handle it.

The pattern repeats: new tech, wild optimism, some winners, lots of losers, lasting change. We’ve seen it with the internet, mobile, and crypto. Now it’s AI’s turn.

So grab your digital pan and start sifting. Just remember: for every prospector who found gold in California, there were hundreds who went home broke. The difference between them? The winners knew when to dig, when to hold, and when to walk away.

Happy prospecting. May your models train fast and your valuations stay rational.

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