Everyone says AI is replacing developers. Then why is Meta buying more GPUs?

There’s a growing narrative around tech right now, especially outside the industry.

AI is replacing developers.

Automation is killing human effort. Coding is dying.

Honestly, I understand why people feel this way. AI tools can now write code, debug faster, and automate tasks that used to take hours. (And yes mom — I’m still employed.)

This fear isn’t new.

When Excel was invented, people wondered if accounting was over. It wasn’t. The work simply changed.

When cloud computing became mainstream, many believed traditional IT roles would disappear. Companies no longer needed to manage physical servers in the same way, so roles focused purely on hardware maintenance started to decline.

But instead of reducing tech jobs, cloud created new ones —> cloud engineers, DevOps engineers, site reliability engineers, and infrastructure specialists who focused on scaling, automation, and managing systems in the cloud.

Technology rarely removes the need to build. It changes what building looks like.

At the same time, something doesn’t add up.

While people talk about AI replacing developers, big tech companies are investing more than ever in AI infrastructure.

On February 24, 2026, Meta announced a major partnership with AMD to deploy up to 6 gigawatts of AI GPU capacity to power its next generation of AI systems.

That’s not a small upgrade. It represents one of the largest AI infrastructure expansions in the industry — designed to support AI at massive scale across billions of users.

So what exactly is a GPU?

A GPU is basically the muscle behind AI.

Regular processors (CPUs) handle everyday computing tasks. GPUs are different. They can perform thousands of calculations at the same time, which is exactly what AI models need to run efficiently.

More GPUs simply means one thing:

More AI running in the real world.

And this is the real insight.

If AI were truly reducing software work, we would expect infrastructure investment to slow down.

Instead, we see the opposite.

AI systems are growing. Infrastructure is expanding. Developer activity globally continues to increase even as AI tools become more common.

The signal doesn’t point to extinction.
It points to expansion.

So what’s actually changing?

Not the need for developers — but the type of work developers do.

Writing repetitive code is becoming easier. But designing systems, integrating AI into products, and thinking at an architectural level is becoming more valuable.

Developers don’t necessarily need to become AI researchers.

But they are becoming something new:

AI-aware builders.

The value is shifting from writing every line manually → to guiding intelligent systems.

The tools are changing.
The expectations are rising.

What do you think — are developers disappearing, or just evolving?