AI is changing everything: how we work, how we build, how we compete. But there's one part of the story that doesn't get talked about enough:
AI runs on electricity. A lot of it.
Behind every "instant" answer, automated workflows and machine-learning breakthrough is a growing network of data centres that need constant power, constant cooling and constant reliability. And as these facilities scale up across the US and globally, one thing is becoming clear fast:
The future of AI depends on the future of energy.
While data centres used to sit quietly in the background of the digital world, they're now becoming some of the most power-hungry infrastructures being built today - driven by the rise of AI, cloud computing and always-on demand. Unlike traditional energy users, data centres require:
This shift is already influencing where data centres are built, how quickly they can connect to the grid and how providers plan for growth.
As demand rises, many data centres are built, how quickly they can connect to the grid and how energy providers plan for growth. That's why renewables are playing a bigger role in data centre energy strategy, supported by:
Renewables aren't just used for sustainability - they're becoming a practical solution for scaling power quickly while managing long-term risk.
Renewables are a major part of the answer, but the reality is simple: AI can't pause when the wind drops of the sun sets. So the next stage of growth depends on building the full system around clean generation:
The goal isn't just "more renewables" Its realiable clean power at scale.
The AI boom is driving one of the biggest infrastructure shifts in decades. And the companies that win won't just be the ones building better AI - they'll be the ones securing the power behind it. Renewables will power what comes next. But the real opportunity is building the energy ecosystem that makes that future possible.