Mostly Resilient

Last Update: 7/31/2026

AI Resilience Score for Electrical Repairer:

55.8%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient electrical and electronics repair work at power plants and substations is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For electrical repairers at powerhouses and substations, 6 of 8 sources had data. Exposure signals were mixed: our AI Resilience Model rated risk low, while Microsoft, Will Robots Take My Job, and OpenAI Signals rated it medium, keeping confidence at medium. Demand and pay both landed in the middle range, producing a score of 55.8% and the label "Mostly Resilient."

AI Resilience Report forElectrical and Electronics Repairers, Powerhouse, Substation, and Relay

$103,020 median salary2,000 annual openingsSOC Code: 49-2095.00

Electrical and Electronics Repairers, Powerhouse, Substation, and Relay are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

This career holds up well against AI because the most important parts of the job, like physically repairing high-voltage equipment, swapping out circuit breakers, and troubleshooting unusual failures in the field, are exactly the kinds of tasks AI cannot do on its own. What AI is changing is more about support work: spotting problems early through predictive maintenance and helping technicians decide what needs attention, which makes skilled workers more effective rather than less necessary.

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This role is mostly resilient

This career holds up well against AI because the most important parts of the job, like physically repairing high-voltage equipment, swapping out circuit breakers, and troubleshooting unusual failures in the field, are exactly the kinds of tasks AI cannot do on its own. What AI is changing is more about support work: spotting problems early through predictive maintenance and helping technicians decide what needs attention, which makes skilled workers more effective rather than less necessary.

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Analysis of Current AI Resilience

Electrical Repairer

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Electrical Repairer jobs?

Right now, AI is mostly augmenting powerhouse and substation repairers rather than replacing them. The hands-on parts of the job — swapping circuit breakers, bolting in voltage regulators, repairing relay systems — still need a skilled human in the yard. What AI is changing is the data side: spotting problems early and helping technicians decide what to fix.

An IEEE PES working group found that the practical application of AI and machine learning in power system protection and control has started but is still very limited, while having to meet the same strict reliability, security, and accuracy requirements as any other protection system. Utilities are moving fastest on predictive maintenance and inspection: EPRI's transmission program is testing "mechatronic" robots [1] that live inside substations and collect camera, LiDAR, and EMF data autonomously, and EPRI is asking how much of that analysis can be automated. POWER Magazine reports that utilities are deploying augmented reality tools so senior technicians can guide less experienced colleagues remotely, and AI-driven predictive maintenance systems help operators catch issues before they escalate, reducing the need for large maintenance crews while improving reliability.

EPRI also notes that AI is being explored for wildfire detection, grid management, predictive maintenance, and cybersecurity across hundreds of utility use cases [2] — but warns that messy utility data is the biggest roadblock.

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AI Adoption

How fast is AI adoption growing for Electrical Repairer?

Adoption will likely be steady but cautious. On the "go fast" side, there's a huge worker shortage: Goldman Sachs estimates the power industry may need more than 750,000 new workers by 2030 [3], and POWER Magazine reports 96% of utility leaders say AI is a new strategic focus, while 66% say the talent gap is the biggest obstacle to deploying it [4]. That gives utilities a strong reason to invest in AI tools that stretch their existing crews.

On the "go slow" side, substations are safety-critical: a bad relay decision can cause outages or injuries, so regulators demand careful testing. Beta Engineering notes the real challenge isn't the AI tool itself but getting teams to adopt it consistently [5], and the American Public Power Association points out that utilities are still learning how to layer intelligent, AI-powered workflows on top of human decision-making [6]. The good news for you: the human skills that matter most here — physically repairing high-voltage equipment, troubleshooting weird failures, and judging when a machine's recommendation is wrong — are exactly the skills AI is worst at.

This career looks like one where AI becomes a powerful sidekick, not a replacement.

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Will AI replace Electrical Repairer?

Will AI replace Electrical Repairer?

No. We don't think AI will replace Electrical and Electronics Repairers, Powerhouse, Substation, and Relay, though we do expect the job to change.

That view is backed by a 55.8% AI Resilience Score. The core reason is simple: substations and powerhouses are physically dangerous, high-stakes environments where a bad decision can cause outages or injuries. AI can flag a failing relay on a dashboard, but a human still has to climb into the yard, diagnose the weird edge case the algorithm missed, and do the repair safely. That hands-on judgment is exactly what AI handles worst right now.

What is changing is the data side of the work. Utilities are testing autonomous robots that collect camera and sensor readings inside substations [1], and AI-driven predictive maintenance tools are helping crews catch problems earlier [4]. That means less reactive emergency work and more planned, targeted repairs. Some routine inspection tasks will shift to machines over time.

The job market picture is moderate, not booming, but there is real pressure pushing utilities to invest in the people they have. The power industry may need more than 750,000 new workers by 2030 [3], and 66% of utility leaders already say the talent gap is their biggest obstacle to deploying AI at all [4]. That makes skilled repairers more valuable, not less.

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Latest AI news for Electrical Repairer

These articles highlight the evolving role of AI in the field of Electrical and Electronics Repairers, Powerhouse, Substation, and Relay careers. For instance, AI models can analyze temperature trends and load patterns, enhancing maintenance strategies and reducing outages. Furthermore, predictive AI systems can foresee equipment malfunctions, allowing for proactive repairs. Embracing these technologies can help students ensure their skills remain relevant and resilient in a future where AI plays a significant role in electrical maintenance and repairs.

More Career Info

Career: Electrical and Electronics Repairers, Powerhouse, Substation, and Relay

They fix and maintain electrical equipment at power plants and substations to ensure electricity flows smoothly and safely to homes and businesses.

Employment & Wage Data

Median Wage

$103,020

Jobs (2024)

23,400

Growth (2024-34)

+5.5%

Annual Openings

2,000

Education

Postsecondary nondegree award

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

97% ResilienceSupplemental

Set forms and pour concrete footings for installation of heavy equipment.

2

96% ResilienceCore Task

Disconnect voltage regulators, bolts, and screws, and connect replacement regulators to high-voltage lines.

3

95% ResilienceCore Task

Construct, test, maintain, and repair substation relay and control systems.

4

94% ResilienceCore Task

Repair, replace, and clean equipment and components such as circuit breakers, brushes, and commutators.

5

92% ResilienceCore Task

Open and close switches to isolate defective relays, performing adjustments or repairs.

6

92% ResilienceCore Task

Test insulators and bushings of equipment by inducing voltage across insulation, testing current, and calculating insulation loss.

7

90% ResilienceCore Task

Inspect and test equipment and circuits to identify malfunctions or defects, using wiring diagrams and testing devices such as ohmmeters, voltmeters, or ammeters.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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