Share and intensity of work current AI systems can materially affect.
SOC 51-8012
Power Distributors and Dispatchers AI displacement risk
Power distributors and dispatchers control the flow of electricity across the grid, responding to equipment failures and routing power around outages. Renewables forecasting AI and grid-optimization software now advise dispatch decisions — but NERC-certified operators remain legally accountable for balancing the grid in real time.
Likely potential for exposed tasks to move to software after workflow integration.
The grid is getting harder to run, not easier: variable renewables multiply the forecasting problem AI helps solve, which augments rather than replaces the operator. Reliability accountability is regulated and human-signed.
Distribution
Where Power Distributors and Dispatchers sits across 620 tracked roles
Displacement pressure 26 — higher than 37% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
14 O*NET task statements matched to SOC 51-8012. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $106,730 (May 2025, US national). The latest BLS row matched SOC 51-8012.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Power Distributors and Dispatchers
SOC 51-8012 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 26/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Power Distributors and Dispatchers
The current evidence import matched 14 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks14
SOC51-8012
- Core task / ID 12302
Coordinate with engineers, planners, field personnel, or other utility workers to provide information such as clearances, switching orders, or distribution process changes.
- Core task / ID 12299
Respond to emergencies, such as transformer or transmission line failures, and route current around affected areas.
- Core task / ID 12301
Control, monitor, or operate equipment that regulates or distributes electricity or steam, using data obtained from instruments or computers.
- Core task / ID 12303
Direct personnel engaged in controlling or operating distribution equipment or machinery, such as instructing control room operators to start boilers or generators.
- Core task / ID 12304
Distribute or regulate the flow of power between entities, such as generating stations, substations, distribution lines, or users, keeping track of the status of circuits or connections.
- Core task / ID 12307
Manipulate controls to adjust or activate power distribution equipment or machines.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Respond to emergencies and route current around failures
Exposure 22, automation 8%, augmentation 48%.
O*NET evidence: Respond to emergencies, such as transformer or transmission line failures, and route cu... (ID 12299)
Control equipment that regulates or distributes electricity
Exposure 30, automation 14%, augmentation 52%.
O*NET evidence: Control, monitor, or operate equipment that regulates or distributes electricity or ste... (ID 12301)
Distribute power flow between stations and users
Exposure 34, automation 16%, augmentation 54%.
O*NET evidence: Distribute or regulate the flow of power between entities, such as generating stations,... (ID 12304)
Coordinate with engineers and field personnel
Exposure 26, automation 10%, augmentation 50%.
O*NET evidence: Coordinate with engineers, planners, field personnel, or other utility workers to provi... (ID 12302)
TaskExposureAutomationAugmentation
Respond to emergencies and route current around failures228%48%
Control equipment that regulates or distributes electricity3014%52%
Distribute power flow between stations and users3416%54%
Coordinate with engineers and field personnel2610%50%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowTransmission System Operator
Training horizon: 12-24 months. Skill overlap 62. Wage preservation signal 118.
- Advance NERC certification levels
- Move to balancing authority work
- Lead control-room shifts
role redesign
LowGrid Analytics Specialist
Training horizon: 6-12 months. Skill overlap 58. Wage preservation signal 116.
- Master forecasting platforms
- Analyze renewable integration
- Support market operations
Comparison guides
Compare the next move before you commit
12-24 months
Power Distributors and Dispatchers to Transmission System Operator
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Power Distributors and Dispatchers into Transmission System Operator.
6-12 months
Power Distributors and Dispatchers to Grid Analytics Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Power Distributors and Dispatchers into Grid Analytics Specialist.
What the AI risk score means for Power Distributors and Dispatchers
The displacement pressure score for Power Distributors and Dispatchers is 26. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Distribute power flow between stations and users carries 16% automation pressure, while Distribute power flow between stations and users carries 54% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $106,730 (May 2025, US national). Employment context: Grid control room where AI forecasting meets accountability. Typical education: Extensive utility training; NERC certification common.
Wage vulnerability is 20, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- AI forecasts renewables variability
- Reliability accountability is certified
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Power Distributors and Dispatchers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Grid operations
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Emergency rerouting
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Renewables forecasting
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
NERC compliance
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Transmission System Operator, such as advance nerc certification levels.
- By 90 days, compare internal openings and external postings for Transmission System Operator or Grid Analytics Specialist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Power Distributors and Dispatchers
Will AI replace Power Distributors and Dispatchers?
Power distributors and dispatchers control the flow of electricity across the grid, responding to equipment failures and routing power around outages. Renewables forecasting AI and grid-optimization software now advise dispatch decisions — but NERC-certified operators remain legally accountable for balancing the grid in real time. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Power Distributors and Dispatchers work are most exposed to AI?
Distribute power flow between stations and users and Control equipment that regulates or distributes electricity show the strongest automation pressure in this model. Distribute power flow between stations and users and Control equipment that regulates or distributes electricity are better treated as AI-augmented work.
What should Power Distributors and Dispatchers learn next?
Start with Grid operations, Emergency rerouting, Renewables forecasting. The most practical adjacent paths in this model are Transmission System Operator and Grid Analytics Specialist.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics