The Fear That's Never Right

The fear that AI will kill software ignores one thing: adding an abstraction layer has happened before. Many times.

Every generation of technology introduces a layer. One that hides the complexity below, makes it cheaper to build on top – and gets declared the death of everything beneath it. Every time, the previous layer becomes the foundation everything else runs on.

The History of Abstraction Layers

Assembly made machine code easier to use.

C and C++ made hardware easier to work with.

Python made memory management easier. Some C programmers called it a toy. It now runs most of the AI everyone is worried about.

Cloud made infrastructure easier to use. The servers still exist – you just don't think about them anymore.

Each time, the critics were partially right about the tradeoffs and completely wrong about the direction of history.

AI Is the Next Layer in This Exact Sequence

AI makes routine cognitive work easier. No more shadow work.

Here's what every previous transition teaches us: lowering the cost of doing something doesn't reduce demand for it. It expands what's possible.

The Dotcom Parallel

In 1999, people couldn't tell the difference between a grocery delivery startup that didn't work and a bookstore that would change the world. Both were "internet companies."

The market was right that the internet would be transformative. It was completely wrong about who wins and when.

We're in that moment again.

SaaS Isn't Dying – It's Getting Better

SaaS is a way to deliver software. Companies buy software because they have problems. Problems don't disappear because the tooling improves.

Better tooling reveals the layer of problems that were previously too expensive to touch.

Software is not dying. It is getting better. The businesses solving pain points have a head start on solving the next generation of them.

The Bottom Line

Embrace the new tool. Ignore the hysteria. Build to solve pain points.

History is clear: every new abstraction layer created more value, not less. AI won't be the exception – as long as you build on real problems, not hype.