Energy & Utilities

AI for the assets that keep the lights on and the water running.

The MetroMinds Library holds 333 AI use cases for power, oil and gas, water and renewables. Most are about keeping assets reliable and safe. More than a quarter touch critical infrastructure, where the EU AI Act sets high-risk obligations.

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333energy and utilities use cases

27%touch critical infrastructure

26%ready to scale now

Energy & Utilities in focus

Hard to deliver, and often high-risk

Four in ten energy and utilities use cases score low on feasibility, and more than a quarter touch critical infrastructure under the EU AI Act.

How feasible are energy and utilities use cases today?

Source: MetroMinds Library, 333 energy and utilities use cases, August 2026.

27%touch critical infrastructure91 of 333 use cases, a high-risk area under Annex III

27%

72%

Critical infrastructure · 91 (27%)Employment · 3 (1%)Outside Annex III · 239 (72%)

Source: MetroMinds Library, 333 energy and utilities use cases, August 2026.

Assets and safety first

Asset reliability and compliance accounts for 66 use cases, one in five. Maintenance, incident investigation and safety follow.

Top 5 capabilities

Asset Reliability and Compliance66
Maintenance Coordination22
Incident Reporting and Investigation21
Safety Policy and Risk Management12
Environmental Compliance Management11

What predictive maintenance needs before it pays off

Energy and utilities use cases by value and feasibility

Business value →

Strategic bets

155 47%

Scale now

88 26%

Park / rethink

46 14%

Quick improvements

44 13%

Feasibility →

Business value 3.68Feasibility 3.03Risk 3.79

Source: MetroMinds Library, 333 energy and utilities use cases, August 2026. High means a score of 4 or 5.

Browse energy and utilities use cases

Filter by subsector, function or AI domain and compare benchmark ranges and risk scores.

Featured use case

Power UtilitiesAI-SimulationScenario Planning

Will the Grid Hold Peak Load Without Emergency Generation This Season?

Before the peak season, operations has to show that the network can carry the expected load without emergency measures. The AI brings together load forecasts, reserve models and weather driven demand, aligns dates and units and builds an assumption table, a sensitivity view and an impact comparison. Stale load curves, conflicting weather assumptions and reserve figures without an owner are flagged before leadership review.

Benchmark ranges

Scenario review time reduction18% to 32%

Assumption preparation effort reduction15% to 28%

Assumption quality improvement5% to 12%

Scores

Value Feasibility Risk

Out of 5. A higher risk score means more risk.

How the work changes

The operations manager spends less time collecting inputs and rebuilding scenarios after late challenges. More time goes into challenging assumptions, reading sensitivity results and writing the planning narrative. A risk manager reviews the final scenario.

Benchmark ranges based on real-world implementations.

See the full use case

Critical infrastructure is a high-risk area

Critical infrastructure.

AI used as a safety component in the management and operation of critical infrastructure, such as electricity, gas, heating and water supply, is high-risk under Annex III. 91 of 333 energy and utilities use cases touch this area.

Employment.

3 energy and utilities use cases allocate, monitor or assess staff.

Obligations for these systems apply from 2 December 2027. Use cases outside Annex III, such as most maintenance planning, still belong in your AI register.

See how the AI register records each system