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These days it’s fashionable to say that Artificial Intelligence consumes too much energy. Data centers, GPUs, megawatts, water for cooling… all true. But there’s a part of the story that almost nobody talks about.

AI doesn’t “create” consumption. AI replaces distributed, inefficient consumption with concentrated, optimized consumption.

Here’s a simple, real example.

A few years ago, if I needed something technical like the ZPL documentation for a label printer, I could easily spend:

Today, I ask an AI and in 30 seconds I get:

Yes, there’s a GPU behind it that consumes energy. But what’s no longer happening is:

In real life, the overall energy balance is often significantly lower.

And this effect is even stronger in creative work.

Think about video production.

A scene that used to require:

Today, many scenes can be generated digitally. Some GPU time, yes. But no transportation, no physical set, no material waste, no on-site logistics.

It’s pure dematerialization.

AI doesn’t eliminate energy usage: it shifts it from millions of inefficient physical processes to fewer, highly optimized digital ones.

It’s the same transition we already saw with:

Now it’s happening with:

The real energy waste isn’t a GPU doing math.
It’s a human spending three hours searching for what a machine can surface in ten seconds.

And while we search, the physical world keeps consuming.

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