Historical evolution of data centers and AI power demands

Stepchange Ventures’ co-founders, writing in the MCJ Newsletter, outline how data centers have evolved into critical infrastructure, how AI is driving unprecedented power demand, and why this creates both grid constraints and opportunities for more sustainable, abundant energy and compute.

• Data centers emerged from early internet hubs like MAE-East and One Wilshire into hyperscale regions such as Ashburn, Virginia, where data-center-zoned land can reach $6M per acre, while overbuilt fiber networks and subsequent advances like virtualization, cloud (EC2 in 2006), containers, and serverless steadily increased hardware utilization and enabled Web 2.0 and hyperscale cloud growth.
• Power efficiency innovations—including PUE (Power Usage Effectiveness) invented by Christian Belady (typical mid-2000s PUE ≈ 2.5, pushed toward 1.1 by hyperscalers) allowed internet traffic to grow 17x (2010–2020) with relatively flat energy use, but the rise of AI GPUs and 5GW-scale builds now creates 10–100x more power-hungry data centers, intersecting with broader load growth from industrial expansion and electrification, and prompting calls to reengineer chips, grids, and infrastructure for an abundant, sustainable era.