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← All living questionsONGOING QUESTION / Energy

Can intelligence help make energy more abundant, reliable and responsible?

Generation, grids and the evidence needed to separate promising control results from deployment.

These are editorial connections, not a chain of causation or a shared score of progress.

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The evidence so far

DISCOVERY

Japan’s planned 400 MW AI campus puts power access first. ↗

JERA, Dell and RHAELM signed an October 1 memorandum to coordinate power and AI infrastructure in Japan. Their first planned Chiba project would have power capacity of up to 400 MW. The campus is a development plan; commissioned computing capacity and customer outcomes are still ahead.

Source published 2026-10-01 · Emerging
DISCOVERY

Maryland makes data-center commitments public. ↗

Maryland ordered project ratings and monthly public power-and-water disclosure for certain data-center proposals of at least 25 megawatts that seek discretionary state engagement.

Source published 2026-09-23 · Emerging
DISCOVERY

Two weeks of grid preparation, reduced to hours. ↗

Duke Energy says an AWS agentic workflow reduced data preparation for interconnection studies from two weeks of manual work to hours by coordinating existing models and scripts.

Source published 2026-09-17 · Deployed
DISCOVERY

Finding more workable grid plans ↗

Google DeepMind reported that AlphaEvolve improved a trained graph neural network's ability to find feasible solutions to the AC Optimal Power Flow problem from 14% to more than 88%.

Source published 2026-05-07 · Demonstrated
DISCOVERY

Rehearsing a fusion pulse before it happens ↗

Google DeepMind and Commonwealth Fusion Systems announced a partnership in which CFS uses the open-source TORAX plasma simulator in daily workflows to test and refine SPARC operating plans before the tokamak is turned on.

Source published 2025-10-16 · Emerging
DISCOVERY

Making room in a data center ↗

Google DeepMind reported that an AlphaEvolve-discovered scheduling heuristic had been in production for more than a year and continuously recovered an average 0.7% of Google's worldwide compute resources.

Source published 2025-05-14 · Deployed
DISCOVERY

Holding a plasma in shape. ↗

Researchers used reinforcement learning to control magnetic confinement in a research tokamak.

Source published 2022-02-16 · Demonstrated

More to follow

Short source reports on announced work, early results and emerging uses.

SIGNAL · SOURCE REPORT

A U.S. lab project will test foundation models for grid planning. ↗

The project targets the computational burden of comparing many grid scenarios. Its speed and reliability targets are project aims, not demonstrated outcomes.

DOE’s Office of Electricity Announces $11.5M Genesis Mission Project · published 2026-09-01Captured 2026-09-06 · a lead, not a verified achievement.
SIGNAL · SOURCE REPORT

Tracing a cyber threat on the grid ↗

Faster triage could give operators more time to investigate and respond to grid cyber incidents.

CESER and Sandia National Lab are Using AI to Safeguard the Electric Grid · published 2026-09-03Captured 2026-09-07 · a lead, not a verified achievement.

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