Can the grid keep up with AI’s insane energy appetite?

As AI explodes, so does the demand for electricity. Training and running large AI models requires massive data centres, and those centres are energy monsters. A single AI server rack can pull 120kW, compared to just 5 to 10kW for a normal one. Multiply that across thousands of racks, and it’s clear: AI is putting serious pressure on power grids.

The problem? Grids weren’t built for this kind of unpredictable, high-spike usage. Globally, data centre energy demand is expected to double in 5 years, and AI is the main driver. If nothing changes, we risk blackouts, bottlenecks, and stalled innovation.

Solutions are in motion:

• Massive grid upgrades and expansion projects
• Faster connection for renewable energy
• Data centres getting smarter (using on-site renewables, shifting workloads to off-peak hours)
• AI helping manage the grid itself (optimising flow, predicting surges)

Bottom line: The energy demands of AI are real, rising fast, and threaten to outpace infrastructure. The tech is racing ahead, but the grid needs to catch up or everything from innovation to climate goals could hit a wall.