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Will AI replace electrical and electronics repairers, powerhouse, substation, and relay?

A little.

Most of the day is hands-on testing and switching on live high-voltage equipment, work AI can only support. This job scores 77 out of 100 on (higher is safer). Today people do 35% of the work with AI’s help, and 65% still needs a person.

Updated 3 October 2026 49-2095 3112 2026-Q4
Installation, Maintenance, and RepairElectrical and Electronics Repairers, Powerhouse, Substation, and Relay49-2095 · 2026-Q4
0% AI does it35% AI helps65% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 65%AI helps 35%AI does it 0%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Why this work stays in the field

The job is built around live high-voltage equipment. A relay technician opens and closes switches to isolate a circuit, tests protective relays against their settings, and traces a fault through a substation that may be decades old. Software can suggest where to look. It cannot stand in the yard, confirm a bus is dead, and put hands on a breaker mechanism.

Two tasks show why. Calibrating and trip-testing a protective relay means injecting test currents, reading the response, and judging whether the scheme will clear a fault in the right order. Inspecting and repairing transformers, oil circuit breakers and switchgear means finding wear, contamination or loose connections that no sensor flagged. Both depend on touch, sight, smell and a tolerance for consequence.

Safety rules add another layer. Switching orders, lockout and tagout, and clearance paperwork all need a named, accountable person. That is a legal and contractual arrangement, not a technical gap, and it holds across the utilities sector. Pay reflects the scarcity of the skill: median annual pay is $103,020 and US employment is about 20,720 (BLS, 2025).

What AI does, assists with, and leaves to people

The clearest wins are on paper. Writing up test reports, pulling settings from relay manuals and schematics, summarizing past work orders and drafting maintenance records are all tasks a model can carry a long way. Our coverage figure, the share of task time within reach of AI today, is 19 out of 100, and the method behind it is on the coverage page. The share of task time AI can handle on its own is 0%.

Assisted work is where most of the change lands. Interpreting SCADA and event-recorder data after a trip, and narrowing down which relay or CT caused a misoperation, both get faster when pattern tools sort the records first. Condition monitoring on transformers does something similar: it tells you what to check sooner. The assisted share is 35%, and the technician still makes the call.

What stays with people is the physical and accountable core: switching and grounding, torqueing and replacing parts, commissioning new protection schemes, and signing off that a circuit is safe to re-energize. That group holds 65% of task time.

What the evidence shows

There is no published head-to-head test of an AI system against a qualified relay technician on this job’s real tasks. Our quality-parity grade is D, which means not measured, so we publish no parity number for it. The evidence list above shows what we are drawing on and how each item is graded; the wider approach is set out in our scoring method.

What would settle it is specific and testable. A benchmark where a model diagnoses recorded relay misoperations from event files and is scored against technician findings. A field trial where a robot performs a routine breaker inspection end to end. Published utility data on how often an AI-assisted diagnosis changed the repair. Until something like that exists, treating a general automation probability as a measurement of this job overstates what anyone knows.

When the picture could change

Most likely after 2045 (8 in 10 of our scenarios). The replacement-year method explains what that window covers and what it does not.

Two things could pull it earlier. Digital substations with IEC 61850 relays and remote test access cut the number of trips a technician has to make. And grid-scale sensor coverage, paired with analytics, moves more work from scheduled inspection to targeted repair, which shrinks routine hours.

Two things push it later. The hardware needed to do the physical part sits in a dexterous humanoid class, and that machinery is not deployed in live yards; our guide to robots and physical work covers how far behind the hardware runs. The installed base is also old and non-standard, with electromechanical relays, mixed vintages and site-specific wiring that resists any single automated procedure. Utility safety regulation and the sign-off chain slow adoption further.

Good to know: BLS projects employment in this occupation growing about 9.7% from 2025 to 2035, as grid rebuilds and new interconnections add protection work (BLS projections, 2025-35).

How to stay needed as a relay technician

Lean into the tasks that carry accountability. Commissioning and acceptance testing of new protection schemes. Fault investigation after a misoperation, where the written explanation matters as much as the fix. And switching, grounding and clearance work, where a person’s signature is the control.

Two skills compound. First, protection engineering depth: relay logic, coordination studies and the ability to argue a settings change, not just load a file. Second, digital substation work, including IEC 61850 configuration, networking and the test software that comes with it. Technicians who can read both a schematic and a config file are the ones utilities keep.

If you are weighing nearby options, three roles share much of the same ground: Electrical and Electronics Repairers, Commercial and Industrial Equipment, Electric Motor, Power Tool, and Related Repairers, and Electrical Power-Line Installers and Repairers. You can put any two side by side on our compare tool, browse the rest of the electrical equipment repair family, or see where hands-on roles sit on our list of jobs that mostly need a person.

Frequently asked questions

Is substation maintenance being automated?

Parts of it are changing rather than disappearing. Remote monitoring, digital relays and event recorders cut the number of routine inspection trips and point technicians at the right asset faster. The repair itself still involves isolating equipment, grounding it, and working on hardware by hand. The task list above shows which duties fall to people and which AI can assist with today.

What jobs are hardest for AI to replace?

Work that combines physical skill, judgment under risk and legal accountability is the hardest. Live electrical work fits all three: someone must confirm a circuit is dead, perform the repair, and sign off before re-energizing. Our rankings and lists pages let you see how jobs compare on the share of task time that still needs a person, using the same method for every occupation.

What training do you need to become a relay technician?

Most people come in through a utility or union apprenticeship, or an associate degree in electrical or electronics technology, then learn protection work on the job. Employers often look for relay test and NETA or NICET style certification, plus switching and safety qualification specific to the utility. Military electronics and electrical experience is a common entry route too.

Will AI tools reduce the number of substation technicians utilities hire?

The likelier effect is fewer routine hours per asset, not fewer crews. Analytics can retire some scheduled inspections, but grid rebuilds, interconnection queues and aging equipment add protection work at the same time. BLS projects employment growth for this occupation over the 2025 to 2035 decade. Entry-level hiring is the part worth watching, since trainees often learn on the routine tasks.

Should relay technicians learn to use AI tools?

It helps. The practical uses are drafting test reports, searching relay manuals and settings documents, and summarizing event data before a diagnosis. Treat the output as a starting point and verify it against the schematic and the device. Technicians who can explain and defend a settings change, with or without software help, stay the ones utilities rely on.

Each ridge is a slice of the job's task time.Needs a human 65%AI helps 35%AI does it 0%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Electrical and Electronics Repairers, Powerhouse, Substation, and Relay, O*NET-SOC 49-2095. 65% of the job’s task time still needs a human, so 65 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 65% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 65%AI helps 35%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 65%AI helps 35%AI does it 0%
Inspect and test equipment and circuits to identify malfunctions or defects, using wiring diagrams and testing devices such as ohmmeters, voltmeters, or ammeters.Needs a human
Prepare and maintain records detailing tests, repairs, and maintenance.AI helps
Consult manuals, schematics, wiring diagrams, and engineering personnel to troubleshoot and solve equipment problems and to determine optimum equipment functioning.AI helps
Analyze test data to diagnose malfunctions, to determine performance characteristics of systems, or to evaluate effects of system modifications.AI helps
Open and close switches to isolate defective relays, performing adjustments or repairs.Needs a human
Notify facility personnel of equipment shutdowns.AI helps
Repair, replace, and clean equipment and components such as circuit breakers, brushes, and commutators.Needs a human
Run signal quality and connectivity tests for individual cables, and record results.Needs a human
Maintain inventories of spare parts for all equipment, requisitioning parts as necessary.Needs a human
Construct, test, maintain, and repair substation relay and control systems.Needs a human
Test insulators and bushings of equipment by inducing voltage across insulation, testing current, and calculating insulation loss.Needs a human
Schedule and supervise the construction and testing of special devices and the implementation of unique monitoring or control systems.Needs a human
Schedule and supervise splicing or termination of cables in color-code order.Needs a human
Test oil in circuit breakers and transformers for dielectric strength, refilling oil periodically.Needs a human
Disconnect voltage regulators, bolts, and screws, and connect replacement regulators to high-voltage lines.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is , and vendor studies are labelled as such.

When could it be replaced?

When AI could largely do this job: no sooner than 2045

Most likely after 2045 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten behind its .

Today
Will AI replace this job?
A little.
By 2045
30%
of our scenarios have AI largely doing this job by 2045 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)
By 2060
90%
of our scenarios have AI largely doing this job by 2060 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 100.0% of scenarios: AI could do a little of this job (A little.)100%20302035: 60.0% of scenarios: AI could do a little of this job (A little.)60%2035: 40.0% of scenarios: AI could partly do this job (Partly.)40%20352040: 10.0% of scenarios: AI could do a little of this job (A little.)10%2040: 50.0% of scenarios: AI could partly do this job (Partly.)50%2040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%20402045: 10.0% of scenarios: AI could do a little of this job (A little.)10%2045: 10.0% of scenarios: AI could partly do this job (Partly.)10%2045: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2045: 30.0% of scenarios: AI could largely do this job (Largely.)30%20452050: 10.0% of scenarios: AI could do a little of this job (A little.)10%2050: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2050: 60.0% of scenarios: AI could largely do this job (Largely.)60%20502055: 10.0% of scenarios: AI could do a little of this job (A little.)10%2055: 90.0% of scenarios: AI could largely do this job (Largely.)90%20552060: 10.0% of scenarios: AI could do a little of this job (A little.)10%2060: 90.0% of scenarios: AI could largely do this job (Largely.)90%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%0.0%100.0%0.0%
20350.0%0.0%40.0%60.0%0.0%
20400.0%40.0%50.0%10.0%0.0%
204530.0%50.0%10.0%10.0%0.0%
205060.0%30.0%0.0%10.0%0.0%
205590.0%0.0%0.0%10.0%0.0%
206090.0%0.0%0.0%10.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from work context, licensing and the evidence we have.

LiabilityMistakes are rated 4.5 out of 5 for consequence and decisions 4.4 out of 5 for impact; someone has to answer for them.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 4.9 and physical closeness 4.5 out of 5; caring for or serving people is 2.7 out of 5 in importance.
RegulationWorkers rate responsibility for others' health and safety 4.5 out of 5.
Physical work55% of the task time is physical; robots have been shown on 76% of that time.
LicensingUsual entry requirement (BLS): postsecondary nondegree award, then moderate-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (399 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$40–$3,990
A person’s wage for the same hours
$12,620–$24,940

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

55%
of the task time is physical work
Dexterous humanoid
the kind of robot the physical work would need
Not commercial: no cited robot does most of this work; humanoids are at demonstration and pilot stage.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 65%AI helps 35%AI does it 0%
Writing · 9.4% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 18.5% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 0% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 0% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 22.4% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 49.7% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 0% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 65%AI helps 35%AI does it 0%
How exposed is it?

Still needs a human: 77/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 65% needs a human, 35% AI helps, 0% AI does it. Still needs a human: 77/100 ↑ safer. Will AI replace them? A little.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 77/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate diagnostics, monitoring, and some routine testing, but human technicians will still be needed for hands-on repairs, safety-critical decisions, and complex field work.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

This trade requires hands-on physical troubleshooting, safety-critical judgment, and work in unpredictable field environments that AI cannot physically perform or fully automate within a decade.

claude-sonnet-5 · asked 2026-10-03
GeminiNo

While AI will improve predictive maintenance and diagnostics, the high-voltage risks and complex physical troubleshooting required in substations and powerhouses will still necessitate human technicians over the next decade.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate diagnostics, monitoring, and documentation, but human technicians will still be needed for hands-on, hazardous repairs, testing, and safety decisions in substations and relay systems.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Electrical and Electronics Repairers, Powerhouse, Substation, and Relay? A little. Still needs a human: 77/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/electrical-and-electronics-repairers-powerhouse-substation-and-relay/ (accessed 4 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.