Data report
State of AI in energy and utilities
What 63 documented AI deployments by 58 organizations in energy and utilities say about who uses the AI, how far it acts on its own and how often the result is proven, set against the whole library.
Computed live from the library on 12 November 2026. By Len Debets.
Who works with the AI
29% of public deployments in energy and utilities put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.
- Employee facing30
- Customer facing18
- Back office17
How far the AI acts on its own
44% of public deployments in energy and utilities belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.
- Assist25
- Supervised agent25
- Copilot13
- Autonomous2
Where the deployments come from
48% of the public deployments in energy and utilities are by organizations in Europe. 59% date from 2025 or 2026, against 57% across the library.
- Europe30
- North America21
- Middle East7
- Asia Pacific3
- Africa1
- Global1
How often the result is proven
73% of public deployments in energy and utilities disclose a measurable outcome, against 61% across the library. Of the 41 reported metrics, 25 came from a vendor rather than from the organization itself.
- Organization16
- Vendor25
The most documented use cases in energy and utilities
Ranked by the number of energy and utilities organizations with a public deployment.
- AI agent for utility billing, payments, meter readings and move in or move out13 organizations
- AI predictive maintenance for industrial and energy assets6 organizations
- AI analytics for smart meter and AMI data5 organizations
- AI vegetation management for power lines5 organizations
- AI agent for first line contact center service4 organizations
- AI leak detection for water distribution networks4 organizations
- AI agent for EV charging driver support and charger troubleshooting3 organizations
- AI enterprise knowledge search for employees3 organizations
- AI for supplier invoice processing in accounts payable3 organizations
- AI forecasting of wind and solar generation for grid balancing and trading3 organizations
The benchmarks with the most evidence
KPIs with at least three pooled public values from energy and utilities organizations.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Containment rate | 70% | 55% to 75% | 5 | 1 organization, 4 vendor |
Frequently asked questions
- How is AI used in energy and utilities?
- The most documented AI use cases in energy and utilities are AI agent for utility billing, payments, meter readings and move in or move out, AI predictive maintenance for industrial and energy assets and AI analytics for smart meter and AMI data, across 63 public deployments by 58 organizations in the Blits.ai AI Use Case Library. 29% of public deployments in energy and utilities put the AI in front of customers directly, against 31% across the library. The rest support employees or run inside a back office process.
- How many AI deployments in energy and utilities use AI agents?
- 44% of public deployments in energy and utilities belong to use cases where the AI completes work itself (a supervised or autonomous agent, or an agentic workflow), against 63% across the library.
- How often do energy and utilities organizations prove the results of AI?
- 73% of public deployments in energy and utilities disclose a measurable outcome, against 61% across the library. Of the 41 reported metrics, 25 came from a vendor rather than from the organization itself.
About this report
This report counts every public deployment by an organization in energy and utilities, whatever the use case, and sets it against all 1921 public deployments in the library. The industry hub counts only the use cases tagged with this industry, so its totals can be lower. Every figure is computed with the rules on the methodology page, from the open data (CC BY 4.0). The sample reflects what organizations choose to publish, which skews toward large organizations and successful projects.
See also all AI use cases in energy and utilities, the EU AI Act in energy and utilities and the State of AI Use Cases across every industry.