US dataswitch to UK

Electrical and Electronics Repairers, Commercial and Industrial Equipment

testing faulty equipment to diagnose malfunctions, operating equipment to demonstrate proper use or to analyze malfunctions, consulting with customers and maintaining inventory of spare parts. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: repairing or adjusting equipment, machines or defective components, replacing worn parts is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 5%
changing shape: 19%
staying human: 77%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 24 out of 100 (20–30 allowing for uncertainty): low exposure, across 20 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for electrical and electronics repairers, commercial and industrial equipment is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

What shifts is entering information into computer to copy program: the paper around the work, not the work.

Your week, as this page understands it

Repair, test, adjust, or install electronic equipment, such as industrial controls, transmitters, and antennas. The job title says “electrical”, “electronics repairers”, “commercial” or “industrial equipment”: officially one job, several names. The real job is the part underneath: repairing or adjusting equipment, machines or defective components, replacing worn parts, such as gaskets or seals in watertight electrical equipment. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But electrical and electronics repairers, commercial and industrial equipment is not one task. It is 20 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is repairing or adjusting equipment, machines or defective components, replacing worn parts, such as gaskets or seals in watertight electrical equipment, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 5%
changing shape: 19%
staying human: 77%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

1 task

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Entering information into computer to copy program
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Enter information into computer to copy program or to draw, modify, or store schematics, applying knowledge of software package used.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Drawing, editing and storing schematics at a computer is screen work that design software and AI handle well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

4 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Studying blueprints, schematics, manuals or other specifications to determine installation procedures
The software now makes the first pass at blueprints, schematics, manuals or other specifications, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Study blueprints, schematics, manuals, or other specifications to determine installation procedures.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Working out an installation method from drawings needs practical judgment, though the drawings themselves are digital.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining equipment logs that record performance problems
The software now makes the first pass at equipment logs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Maintain equipment logs that record performance problems, repairs, calibrations, or tests.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing up repairs, calibrations and test results is routine record-keeping that software drafts well from the details entered.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining feasibility of using standardized equipment or developing specifications for equipment required to perform additional functions
The software now makes the first pass at feasibility, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Determine feasibility of using standardized equipment or develop specifications for equipment required to perform additional functions.” (O*NET task statement)
How this row was scored
Exposure score: 50 out of 100 (43–57 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Judging whether standard equipment will do the job depends on specific site conditions that are rarely written down.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Advising management regarding customer satisfaction
The software now makes the first pass at management regarding customer satisfaction, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Advise management regarding customer satisfaction, product performance, or suggestions for product improvements.” (O*NET task statement)
How this row was scored
Exposure score: 57 out of 100 (50–64 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Summarizing product performance and customer feedback for managers is a writing job software drafts well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.

Staying human

15 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Testing faulty equipment to diagnose malfunctions
This work happens in the physical world: faulty equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Test faulty equipment to diagnose malfunctions, using test equipment or software, and applying knowledge of the functional operation of electronic units and systems.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Diagnosing a faulty machine means putting probes on it in person, though software helps read the results.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Repairing or adjusting equipment, machines or defective components, replacing worn parts
This work happens in the physical world: equipment, machines or defective components, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Repair or adjust equipment, machines, or defective components, replacing worn parts, such as gaskets or seals in watertight electrical equipment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Replacing worn parts and adjusting defective machines is physical repair work.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Inspecting components of industrial equipment for accurate assembly and installation
This work happens in the physical world: components of industrial equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect components of industrial equipment for accurate assembly and installation or for defects, such as loose connections or frayed wires.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Spotting loose connections or frayed wires means being at the equipment with your eyes and hands on it.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing scheduled preventive maintenance tasks
This work happens in the physical world: scheduled preventive maintenance tasks, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform scheduled preventive maintenance tasks, such as checking, cleaning, or repairing equipment, to detect and prevent problems.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Checking, cleaning and repairing equipment on a maintenance schedule is physical work at the machine.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Setting up and testing industrial equipment to ensure that it functions properly
This work happens in the physical world: and testing industrial equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Set up and test industrial equipment to ensure that it functions properly.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Setting up and testing industrial equipment means physically handling the machine, which software cannot do.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Show the other 10 tasks

Maintaining inventory of spare parts
staying human
This work happens in the physical world: inventory of spare parts, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain inventory of spare parts.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Tracking spare parts is half database work and half counting what is physically on the shelf.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Sending defective units to the manufacturer or to a specialized repair shop for repair
staying human
This work happens in the physical world: defective units, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Send defective units to the manufacturer or to a specialized repair shop for repair.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Arranging a return to the manufacturer is mostly paperwork, but someone still has to box and ship the unit.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Signing overhaul documents for equipment
staying human
The rules require a named, qualified person to answer for overhaul documents, and that person cannot be a piece of software.
importance 4 · Supplemental
Source: “Sign overhaul documents for equipment replaced or repaired.” (O*NET task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: The signature on overhaul paperwork has to come from the qualified person who did the work.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Examining work orders and converse with equipment operators to detect equipment problems and to ascertain whether mechanical or human errors contributed to the problems
staying human
The ratings behind this row put work orders well outside what today's tools can do on their own.
importance 4 · Core
Source: “Examine work orders and converse with equipment operators to detect equipment problems and to ascertain whether mechanical or human errors contributed to the problems.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Working out what went wrong means talking to the operators who were there, not just reading the work order.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Coordinating efforts with other workers involved in installing or maintaining equipment or components
staying human
The value here is that a specific person handles efforts and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Coordinate efforts with other workers involved in installing or maintaining equipment or components.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Coordinating other workers on a job runs on live conversation and shifting site conditions.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Consulting with customers, supervisors or engineers to plan layout of equipment or to resolve problems in system operation or maintenance
staying human
The value here is that a specific person handles customers, supervisors or engineers and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Consult with customers, supervisors, or engineers to plan layout of equipment or to resolve problems in system operation or maintenance.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Planning equipment layout with customers and engineers depends on back-and-forth discussion and site knowledge software cannot supply.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Developing or modifying industrial electronic devices
staying human
This work happens in the physical world: industrial electronic devices, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Develop or modify industrial electronic devices, circuits, or equipment, according to available specifications.” (O*NET task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Modifying real circuits and devices mixes design thinking with building and testing the hardware.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Operating equipment to demonstrate proper use or to analyze malfunctions
staying human
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Operate equipment to demonstrate proper use or to analyze malfunctions.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Operating the machine to show its use or reproduce a fault needs a person at the controls.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Calibrating testing instruments and installed or repaired equipment to prescribed specifications
staying human
This work happens in the physical world: instruments, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Calibrate testing instruments and installed or repaired equipment to prescribed specifications.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Calibrating instruments means adjusting real hardware against a standard, which needs hands on the device.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Installing repaired equipment in various settings
staying human
This work happens in the physical world: repaired equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Install repaired equipment in various settings, such as industrial or military establishments.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Installing repaired equipment at a customer site is hands-on physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $74,090a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 65,010in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: blueprints, schematics, manuals or other specifications in, a record out. The rows above are exactly that shape: entering information into computer to copy program and studying blueprints, schematics, manuals or other specifications to determine installation procedures. What it cannot do is be there in the room, and that is still where equipment, machines or defective components get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Start with what does not change: repairing or adjusting equipment, machines or defective components, replacing worn parts is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 5% of this job's task weight sits in rows the software is already learning, 19% in rows that change shape rather than disappear, and 77% in rows it is nowhere near. That is the position, measured across 20 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Entering information into computer to copy program is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to blueprints, schematics, manuals or other specifications, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.

What you end up holding: a straight answer about what is actually being rolled out, and when
How long it takes: ten minutes

If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether equipment, machines or defective components are in scope or not. Nothing to log into, no license needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near studying blueprints, schematics, manuals or other specifications to determine installation procedures. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to electrical and electronics repairers, commercial and industrial equipment (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was computer, automated teller, and office machine repairers: only about 11% of its durable work is work you already do and it pays 35.5% less. And on the numbers you do not need one. This job scores 24/100 here, with only 5% of the task list in the top band, and “test faulty equipment to diagnose malfunctions, using test equipment or software, and…” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Computer, Automated Teller, and Office Machine Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already calibrate testing instruments and installed or repaired equipment to prescribed specifications, and their equivalent is to align, adjust, or calibrate equipment according to specifications. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $47,810 against your $74,090, 35.5% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Electrical and Electronic Engineering Technologists and Technicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already set up and test industrial equipment to ensure that it functions properly, and their equivalent is to modify, maintain, or repair electronics equipment or systems to ensure proper functioning. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Telecommunications Equipment Installers and Repairers, Except Line Installers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already set up and test industrial equipment to ensure that it functions properly, and their equivalent is to test repaired, newly installed, or updated equipment to ensure that it functions properly…. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $63,890 against your $74,090, 13.8% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 5% of its task weight, across 20 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like repairing or adjusting equipment, machines or defective components, replacing worn parts arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Electricians and electrical fitters is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

In UK official statistics this job is counted as Electricians and electrical fitters, Electrical service and maintenance mechanics and repairers and Security system installers and repairers. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

Why there is no community here

Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.

So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.

Noted, and thank you. We’ll email you if a Space for electrical / electronics repairers / commercial / industrial equipment launches. Nothing else.

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No Space for electrical / electronics repairers / commercial / industrial equipment yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for electrical / electronics repairers / commercial / industrial equipment existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for electrical / electronics repairers / commercial / industrial equipment launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Electrical and Electronics Repairers, Commercial and Industrial Equipment?: Not as a job, but it is already doing parts of the work. Across the 20 official task statements scored for Electrical and Electronics Repairers, Commercial and Industrial Equipment (United States, SOC 49-2094), 5% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 24 out of 100 (range 20–30, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Electrical and Electronics Repairers, Commercial and Industrial Equipment” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Enter information into computer to copy program or to draw, modify, or store schematics, applying knowledge of software package used” (75/100, high); “Advise management regarding customer satisfaction, product performance, or suggestions for product improvements” (57/100, partial); “Maintain equipment logs that record performance problems, repairs, calibrations, or tests” (56/100, partial). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Electrical and Electronics Repairers, Commercial and Industrial Equipment” stay human?: About 77% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Install repaired equipment in various settings, such as industrial or military establishments” (0/100, minimal); “Inspect components of industrial equipment for accurate assembly and installation or for defects, such as loose connections or frayed wires” (0/100, minimal); “Calibrate testing instruments and installed or repaired equipment to prescribed specifications” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Electrical and Electronics Repairers, Commercial and Industrial Equipment” do about AI?: Start from the ledger rather than the headline: 5% of this job's weighted core work is exposed, and roughly 77% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Electrical and Electronics Repairers, Commercial and Industrial Equipment calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 20 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.