Data center energy use is spiking around the world. As AI workloads soar, the International Energy Agency says that demand could double in the next two years. Many utilities in the U.S. are scrambling to procure more power to meet growing load from new manufacturing plants, electrification, and data centers – often by proposing new gas plants.
This trend is worrying environmentalists and clean power advocates, who say AI could make decarbonization harder on an already-constrained grid. But many experts see it as an opportunity to get creative about expanding grid capacity and designing data centers – and that the benefits of AI in the power sector will far outweigh the increase in power demand.
So, are growing concerns over AI’s power demand justified? How are they contributing to America’s growing hunger for electricity? And what technologies and grid management techniques can address it?
In our upcoming Transition-AI event, Latitude Media Executive Editor Stephen Lacey is joined by three experts who offer a range of views on how to address the energy needs of hyperscale computing, driven by artificial intelligence.
- Brian Janous, co-founder of Cloverleaf Infrastructure. Brian is the former VP of energy at Microsoft who saw how the rise of ChatGPT complicated clean energy procurement. He is now focused on unlocking new grid capacity for utilities without relying on fossil fuels.
- Michelle Solomon, senior policy analyst at Energy Innovation. Michelle co-authored a new report on the many ways utilities can meet rising demand without building new gas plants.
- John Belizaire, CEO of Soluna. John is focused on building data centers for batch processing that utilize excess renewable energy.




