Why I Don't Think AI Is a Bubble

Early discussions about artificial intelligence revolved around one question: Will it replace our jobs? Today, the conversation has almost flipped. Spend a few minutes on Reddit and you'll find people arguing that AI is overhyped, unreliable, or already losing momentum.

I think they're looking at the wrong metric.

The real impact of AI isn't that it produces perfect results. It doesn't. The real impact is that it dramatically reduces the time between having an idea and testing whether that idea is worth pursuing.

A few years ago, if I wanted to build a web application, I had to invest weeks or months before I could even answer a simple question: Does this solve a real problem? Today, I can build a functional prototype in a few hours—sometimes less. I can test it, show it to people, gather feedback, and decide whether it's worth investing more time.

Most ideas don't succeed. Being able to discard the bad ones quickly is just as valuable as building the good ones.

The same applies to creative work. Need a logo, illustrations, icons, a landing page, or marketing visuals? What used to require days of back-and-forth can now produce dozens of usable concepts in minutes. When the project reaches the point where quality, branding, or originality really matter, that's when a professional designer adds the most value.

AI doesn't remove expertise. It removes unnecessary waiting.

That's why I don't believe this is another technology bubble. Few innovations have changed the economics of creating things this dramatically.

  • Cloud computing changed where applications run.
  • Virtualization changed how we manage infrastructure.
  • Smartphones changed how we access information.

Large language models change how quickly we can turn knowledge into something tangible.

Of course, they're imperfect. They hallucinate. They misunderstand context. They make mistakes. Anyone who accepts every answer without thinking is going to create problems sooner or later.

But focusing only on those flaws misses the bigger picture.

The value isn't that AI replaces experts.

The value is that it lets experts spend less time on repetitive work and more time on architecture, validation, decision-making, and creativity.

I've seen it in my own work. Whether I'm writing PowerShell, building internal tools, reviewing documentation, preparing workshops, designing a website, or validating a new business idea, the time savings are undeniable. Work that used to consume entire evenings can often be reduced to an hour or two, allowing me to focus on the parts that actually require experience and judgment.

Will everyone benefit equally? Probably not.

People who expect AI to think for them will eventually hit its limits. But people who treat it as a thinking partner, a reviewer, a prototyping tool, or an accelerator will simply move faster than those who refuse to use it.

History doesn't usually reward the people who wait for a technology to become perfect. It rewards the ones who understand what it's good at, accept what it isn't, and learn how to use it effectively before it becomes the norm.

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