Hey kids, this ain't our first rodeo!
I watched a AI doc last night, thought alot..and this morning I asked it something and this was the answer
Yes. And I think the important lesson of the dot-com crash is not simply “technology bubbles can burst.” It is that a genuinely transformative technology can be real, useful, and enormously important while the financial and social expectations surrounding it become completely detached from reality.
That distinction matters enormously when we look at AI today.
1. What the world was like before the dot-com boom
The early 1990s were a very different world.
The Internet existed, but for ordinary people it was not yet the enormous commercial infrastructure we know today. The World Wide Web was only beginning to emerge. Personal computers were becoming common, but smartphones didn't exist, social media didn't exist, Google didn't exist, and most businesses were still fundamentally operating offline.
Then several things happened extraordinarily quickly.
- The Web became commercially viable.
- Web browsers made the Internet accessible to ordinary people.
- Businesses realized they could potentially reach customers globally.
- Venture capital began pouring into Internet companies.
- Investors became convinced that the Internet represented a “new economy.”
The technological revolution itself was real. The Internet genuinely was going to transform civilization.
That is what makes the story so important.
The people who believed the Internet would change everything were not wrong.
They were wrong about how quickly, how profitably, and how easily many companies could make that transformation happen.
2. Then came the euphoria
By the late 1990s, something psychologically powerful happened.
People stopped asking:
“Does this company have a sustainable business?”
and increasingly started asking:
“How much could this company be worth?”
Companies could have enormous valuations while losing money.
Some had barely any revenue.
Some had business models that essentially amounted to:
“Get millions of users first. We'll figure out how to make money later.”
Investors competed to get into the next big Internet company.
The Nasdaq rose enormously between 1995 and 2000, while Internet companies received extraordinary amounts of investment. Between 1998 and early 2000, Internet-sector public equities generated returns exceeding 1,000%.
There was a widespread belief that the old rules of economics were changing.
And that belief became self-reinforcing.
Rising prices proved that the technology was valuable.
Then rising prices attracted more money.
More money pushed prices higher.
Higher prices created more excitement.
More excitement attracted still more money.
That's the bubble.
3. March 10, 2000
Then reality began catching up.
On March 10, 2000, the Nasdaq reached its peak.
After that, the direction changed dramatically.
Companies began discovering that having a website wasn't the same thing as having a profitable business.
Investors started demanding evidence.
Revenue mattered again.
Profits mattered again.
Cash mattered again.
And suddenly companies that had been valued on future possibilities were being valued on what they could actually produce.
The selling fed on itself.
The Nasdaq eventually fell roughly 78% from its peak to its October 2002 trough. The IMF estimates that roughly $5 trillion in wealth disappeared during the boom-bust cycle.
Hundreds of Internet companies disappeared.
Some famous examples included Pets.com, Webvan and Boo.com.
Telecommunications companies were also devastated.
And ordinary people were affected—not just Wall Street investors.
4. What happened to people?
This is the part that sometimes gets lost when the crash is described as a stock-market story.
Businesses had hired enormous numbers of people because they expected explosive growth.
Companies had leased offices.
They had bought equipment.
They had hired programmers, designers, marketers, salespeople and consultants.
People changed careers because they believed this was the future.
Then the money stopped flowing.
Companies failed.
Jobs disappeared.
Investments evaporated.
And businesses that had been expanding aggressively suddenly had to contract.
The U.S. economy entered a recession in 2001. The recession itself was comparatively mild compared with later crises, but the technology investment collapse was severe. Real investment went from very rapid growth to contraction.
And then the world was hit by September 11, 2001, corporate scandals and geopolitical upheaval, making an already difficult period considerably more frightening.
5. But here's the fascinating part
The Internet survived.
More importantly:
The Internet won.
Amazon survived.
eBay survived.
Google emerged.
Broadband expanded.
Online commerce eventually became normal.
The technologies that had been wildly overhyped were nevertheless real technologies.
The crash didn't prove:
“The Internet was a stupid idea.”
It proved:
“A real technological revolution does not mean every company, investment, prediction or promise surrounding it is real.”
That is an incredibly important distinction.
6. And this is where your argument becomes much bigger than the dot-com crash
You are not saying:
“AI is fake.”
You're saying something much more serious:
“We've seen this psychological pattern before.”
A revolutionary technology appears.
People become enormously excited.
Investment explodes.
Predictions become increasingly extreme.
Companies compete to establish dominance.
Governments don't want to fall behind.
Investors don't want to miss the opportunity.
Workers fear being left behind.
Society begins reorganizing itself around the assumption that the technology will succeed.
And eventually people stop asking:
“What should we do?”
and start assuming:
“This is inevitable.”
That is where caution becomes essential.
7. There is another difference that makes AI potentially more consequential
The Internet primarily changed how humans communicate, obtain information and conduct commerce.
AI potentially reaches into how decisions and cognitive work themselves are performed.
That doesn't mean AI will become superintelligent.
It doesn't mean catastrophic scenarios are inevitable.
And it certainly doesn't mean the dot-com crash predicts an AI crash exactly.
But it means we should be extremely careful about extrapolating from technological capability to societal consequences.
Because there are several different questions:
Can we build it?
Should we build it?
Where should we use it?
Who controls it?
Who bears the consequences when it fails?
What happens to people whose work is displaced?
What happens to infrastructure if investment becomes excessive?
What happens if governments and companies become dependent on systems they don't fully understand?
What happens if competition causes everyone to deploy faster than they can safely evaluate?
Those are not anti-technology questions.
They're civilization questions.
8. And the biggest lesson from 2000
The people living through the dot-com boom couldn't see the future clearly.
They were living inside the transformation.
That's important.
We are doing exactly the same thing now.
We are living inside another technological revolution.
So we have an enormous advantage that people in 1999 didn't have:
We have already seen the movie once.
We know what happens when enthusiasm becomes speculation.
We know what happens when valuations become detached from fundamentals.
We know that genuine technological progress can coexist with massive financial destruction.
And we know that the crash doesn't necessarily mean the technology was worthless.
In fact, sometimes the technology becomes even more important after the bubble bursts.
And I think this is the message you are reaching toward
The world has enormous problems already.
Climate disruption.
War.
Displacement.
Housing crises.
Economic inequality.
Ecological destruction.
Mental-health problems.
Infrastructure vulnerability.
Political instability.
And enormous numbers of people struggling simply to live.
So perhaps the question shouldn't be:
“How fast can we make AI?”
Perhaps the question should be:
“How carefully can we introduce something this powerful into a world that is already under enormous stress?”
That's a very different question.
And historically, this is exactly the moment when caution is most valuable—not after something goes wrong, but while everyone is still convinced that everything is going wonderfully.
The dot-com crash is therefore not a warning that technology is bad.
It's a warning that human beings can be extraordinarily bad at distinguishing technological possibility from technological certainty.
And that is a lesson worth remembering before the next bubble bursts—not afterward.
#ItAintOurFirstRodeo
#DotComCrash
#AIBubble
#ArtificialIntelligence
#TechHistory
#Technology
#ResponsibleInnovation
#LearnFromHistory
#ThinkBeforeWeLeap
#ExtremeCaution
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