AI Isn’t New—It’s Just Louder, Faster, and Richer
It’s 1997 all over again—but instead of dial-up tones and Netscape, we’ve got ChatGPT and billion-dollar tech unicorns promising salvation or doom. Welcome to the AI boom, where every company is rushing to adopt machine learning tools the same way businesses once scrambled to launch websites in the early internet days.
In 2020, OpenAI dropped GPT-3, a massive leap in natural language processing that quietly rewrote what machines could do with human language. By 2022, that quiet revolution turned into a global conversation when ChatGPT entered the scene—cranking out code, emails, poems, and startup pitches faster than you can say “prompt engineer.”
By 2023, ChatGPT had racked up more than 100 million users, officially making it the fastest-growing consumer app in history. That kind of explosive growth hasn’t been seen since AOL offered 1,000 free hours on CD-ROMs and Microsoft was still begging regulators to trust them.
Déjà Vu: When the Web Was the Wild West
If you’re old enough to remember the 90s internet boom, you know the story: massive hype, tech evangelism, sudden stock market riches—and, eventually, a crash that separated innovation from illusion.
We’re seeing the same playbook now with AI:
Tech bros shouting “disrupt everything.”
Startups chasing the next killer app.
Corporate executives scared of being “left behind.”
Just like in the dot-com era, AI firms are pushing the message hard: adopt or die. Except now, instead of launching a basic HTML site, companies are embedding generative AI into everything—from customer service bots to HR decision-making tools.
And while AI’s potential is legit, the gold rush is not without risk.
The Business Trap: FOMO Over Fundamentals
Today’s AI pitch isn’t just about convenience—it’s existential. Investors and consultants are telling CEOs that if their workforce isn’t using AI, their entire business model is at risk. And while there’s truth to the power of tools like GPT-4, blind adoption can backfire.
Think about what happened to Pets.com in the 2000s: great idea, bad execution. That’s the warning for AI startups today. Many companies are rushing integrations without fully understanding data risks, ethical implications, or what “trustworthy AI” even means.
Lessons From the Past: The Bubble Always Bursts
The early internet boom led to amazing transformation—e-commerce, social media, global connectivity—but only after the smoke cleared from the 2001 dot-com crash. Most tech bubbles don’t burst because the tech is useless. They pop because the hype gets ahead of the infrastructure.
We’re seeing signs of that already:
AI-generated misinformation is rampant.
Copyright lawsuits are heating up.
Regulation is lagging, but pressure is building.
We don’t yet know if the current AI ecosystem is built to last. But we do know history has a funny way of repeating itself.
Written by Juan Batalla
Related: The Hidden Mathematics Every AI Executive Needs to Know\n\nSources:\n\nBlood in the Machine: The AI bubble is so big it’s propping up the US economy (for now)
Inset Image Courtesy of Wikimedia Commons
– Creative Commons License
