Campaign log
What has changed and when.
Future AI launched with a position paper, an interactive energy break-even model, a shareable brief, and a data layer tracking key sources. The campaign's core argument: if AI consumes energy at scale, the right question is whether it reduces more waste than it creates — and that question depends on what AI is aimed at. The math is in the model. The deployment choices are being made now.
Published by ClearFrameworks · campaign@clearframeworks.orgUpdates
Manual launch edition. Last updated: June 15, 2026.
176 TWh U.S. data center electricity use in 2023.
Last verified: 2026-06-15325-580 TWh projected U.S. data center electricity use by 2028.
Last verified: 2026-06-15$108.8 billion in annual congestion costs for U.S. trucking.
Last verified: 2026-06-15Commercial and residential buildings remain one of the largest electricity-use categories.
Last verified: 2026-06-15Recent Items
Source: U.S. Department of Energy. Summary: evaluates rising electricity demand from data centers and the need for planning.
Read sourceSource: International Energy Agency. Summary: frames AI energy demand and infrastructure implications.
Read sourceSource: American Transportation Research Institute. Summary: documents $108.8B annual trucking congestion cost.
Read sourceSource: European Union. Summary: risk-tiered AI governance framework entering force.
Read sourceSource: NIST. Summary: a practical risk-management framework for AI design, deployment, and evaluation.
Read sourceSource: U.S. Energy Information Administration. Summary: ongoing electricity generation, sales, and consumption data.
Read source