AI’s Power Problem: Are We Headed for an Energy Crisis?

AI is reshaping how we work—but behind every smart tool is a serious surge in power use. From massive data centers to GPU-hungry models, the energy footprint of AI is growing fast. That raises a real concern:

Are we creating a utility crisis in the name of productivity?

Training large models like GPT-4 consumes millions of kilowatt-hours. Running them at scale—across finance, support, marketing—multiplies that daily. And as more small businesses adopt AI, the load doesn’t just land in Silicon Valley. It hits local grids, global supply chains, and energy infrastructure not built for this.

So how do we move forward without powering our progress into the ground?