AI is about to consume more electricity than entire countries.

According to the International Energy Agency, data centers could surpass Japan’s total energy usage by 2030.

And it's already happening.

Training GPT-3 took ~1.29 GWh.
GPT-4? Over 50 GWh.

That’s massive energy… for a single model. One time.

Now multiply that by every company racing to build AI.

The curve isn’t slowing down. It’s accelerating.

Here’s the part most people miss:

All that energy is producing intelligence.
But who owns it?

Right now → centralized labs, closed systems, private models.

This is where Qubic changes the narrative.

Instead of wasting energy like traditional mining,
Qubic uses Useful Proof of Work.

Every computation → trains neural networks.

Energy isn’t burned. It’s turned into AI.

And it goes further.

Qubic can mine Dogecoin
while training AI at the same time.

Different hardware. No trade-offs. Full utilization.

The AI industry has an energy problem

Qubic’s answer is simple:

Make every watt count.

Not proof of wasted work.
Proof of useful work.

#Qubic #AI #Crypto #DePIN #Web3