US dataswitch to UK
Medical Equipment Repairers
testing or calibrating components or equipment, installing medical equipment and testing, evaluating. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: testing or calibrating components or equipment is work software can't reach.
What shifts is keeping records of maintenance, repair and required updates of equipment. This page scores what today's tools actually do, not headlines.
Your week, as this page understands it
Test, adjust, or repair biomedical or electromedical equipment. The job title says “medical equipment repairers”. The real job is the part underneath: testing or calibrating components or 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 medical equipment repairers 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 testing or calibrating components or equipment, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 13%
- changing shape
- 14%
- staying human
- 73%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 23 out of 100 (18–29 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 medical equipment repairers 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 2026-08-05. 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.
- One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- 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
3 tasksTasks 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.
Keeping records of maintenance, repair and required updates of equipment
This is reading one thing and writing another: records of maintenance in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Keep records of maintenance, repair, and required updates of equipment.” (O*NET task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high 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: Keeping maintenance and repair records up to date is documentation software handles well from the service system.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Evaluating technical specifications to identify equipment or systems best suited for intended use and possible purchase
This is reading one thing and writing another: technical specifications in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Evaluate technical specifications to identify equipment or systems best suited for intended use and possible purchase, based on specifications, user needs, or technical requirements.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 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: Comparing technical specifications against stated needs is a documented comparison software does 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 3/4.
Making computations relating to load requirements of wiring or equipment
This is reading one thing and writing another: computations in, a record out. That is the shape today's tools are built for.
importance 3 · SupplementalSource: “Make computations relating to load requirements of wiring or equipment, using algebraic expressions and standard formulas.” (O*NET task statement)
How this row was scored
Exposure score: 72 out of 100 (65–79 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: Load and wiring calculations use standard formulas that software applies accurately, with a qualified person checking the result.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Changing shape
3 tasksTasks 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 technical manuals or attending training sessions provided by equipment manufacturers to maintain current knowledge
The software now makes the first pass at technical manuals, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Study technical manuals or attend training sessions provided by equipment manufacturers to maintain current knowledge.” (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: Software can summarize technical manuals quickly, but building the skill to use them is something a person does.
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.
Researching catalogs or repairing part lists to locate sources for repair parts
The software now makes the first pass at catalogs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Research catalogs or repair part lists to locate sources for repair parts, requisitioning parts and recording their receipt.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial 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: Searching catalogues, ordering parts and logging receipts is mostly system work software can do, with someone receiving the delivery.
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.
Contributing expertise to develop medical maintenance standard operating procedures
The software now makes the first pass at expertise, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Contribute expertise to develop medical maintenance standard operating procedures.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial 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: Standard operating procedures can be drafted well from manuals and practice, then agreed with the team that uses them.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Staying human
14 tasksTasks 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 or calibrating components or equipment
This work happens in the physical world: components, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Test or calibrate components or equipment, following manufacturers' manuals and troubleshooting techniques, using hand tools, power tools, or measuring devices.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, high confidence, and it moved between repeat runs, so the range is widened.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Testing and calibrating equipment means using tools and meters on the machine itself.
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 3/4.
Performing preventive maintenance or service
This work happens in the physical world: preventive maintenance, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Perform preventive maintenance or service, such as cleaning, lubricating, or adjusting 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: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Cleaning, lubricating and adjusting equipment is hands-on maintenance.
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 3/4.
Inspecting, testing or troubleshooting malfunctioning medical or related equipment
This work happens in the physical world: medical or related equipment, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Inspect, test, or troubleshoot malfunctioning medical or related equipment, following manufacturers' specifications and using test and analysis instruments.” (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: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Fault-finding guides are well documented, but the work happens with instruments connected to the actual device.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Disassembling malfunctioning equipment and remove, repair or replacing defective parts, such as motors, clutches or transformers
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Disassemble malfunctioning equipment and remove, repair, or replace defective parts, such as motors, clutches, or transformers.” (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: Stripping equipment down and swapping defective parts is physical repair 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.
Show the other 10 tasks
Testing, evaluating and classifying excess or in-use medical equipment and determining serviceability, condition and disposition
staying humanThis work happens in the physical world: excess, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Test, evaluate, and classify excess or in-use medical equipment and determine serviceability, condition, and disposition, in accordance with regulations.” (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: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Classification rules are documented, but judging whether a specific machine is still serviceable needs someone inspecting it.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Explaining or demonstrating correct operation or preventive maintenance of medical equipment to personnel
staying humanThis work happens in the physical world: correct operation, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Explain or demonstrate correct operation or preventive maintenance of medical equipment to personnel.” (O*NET task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Written guidance is easy to produce, though showing staff how to use equipment properly usually means demonstrating it.
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 2/4 · how much data exists 3/4.
Supervising or advising subordinate personnel
staying humanThe value here is that a specific person handles subordinate personnel and stands behind it. That is earned, not computed.
importance 3 · SupplementalSource: “Supervise or advise subordinate personnel.” (O*NET task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Supervising and advising staff depends on knowing the people and the work they are doing.
The five ratings: output a model can produce 1/4 · 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.
Planning and carrying out work assignments
staying humanThis work happens in the physical world: work assignments, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Plan and carry out work assignments, using blueprints, schematic drawings, technical manuals, wiring diagrams, or liquid or air flow sheets, following prescribed regulations, directives, or other instructions as required.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal 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: The planning half can be prepared from manuals and drawings; carrying out the assignment is hands-on.
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 3/4.
Computing power and space requirements for installing
staying humanThis work happens in the physical world: power, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Compute power and space requirements for installing medical, dental, or related equipment and install units to manufacturers' specifications.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal 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: The power and space calculations are straightforward, but installing the unit to specification is physical work.
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 3/4.
Examining medical equipment or facility's structural environment and checking for proper use of equipment to protect patients and staff from electrical or mechanical hazards and to ensure compliance with safety regulations
staying humanThis work happens in the physical world: medical equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Examine medical equipment or facility's structural environment and check for proper use of equipment to protect patients and staff from electrical or mechanical hazards and to ensure compliance with safety regulations.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium 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 equipment and its surroundings for electrical or mechanical hazards means being in the room looking at it.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Soldering loose connections, using soldering iron
staying humanThis work happens in the physical world: loose connections, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Solder loose connections, using soldering iron.” (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: Soldering a loose connection needs a hand on the iron.
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 1/4.
Repairing shop equipment, metal furniture or hospital equipment
staying humanThis work happens in the physical world: shop equipment, metal furniture or hospital equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Repair shop equipment, metal furniture, or hospital equipment, including welding broken parts or replacing missing parts, or bring item into local shop for major repairs.” (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: Welding and replacing parts on shop or hospital equipment is physical repair 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 1/4.
Fabricating dress down
staying humanThis work happens in the physical world: dress down, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Fabricate, dress down, or substitute parts or major new items to modify equipment to meet unique operational or research needs, working from job orders, sketches, modification orders, samples, or discussions with operating officials.” (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: Fabricating or modifying parts means machining and fitting metal by hand.
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 1/4.
Installing medical equipment
staying humanThis work happens in the physical world: medical equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Install medical 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: Installing medical equipment means physically putting it in place and connecting it.
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
- $61,660a 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
- 65,990in 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: records of maintenance in, a record out. The rows above are exactly that shape: keeping records of maintenance, repair and required updates of equipment and evaluating technical specifications to identify equipment or systems best suited for intended use and possible purchase. What it cannot do is be there in the room, and that is still where 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: testing or calibrating components or equipment is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 13% of this job's task weight sits in rows the software is already learning, 14% in rows that change shape rather than disappear, and 73% 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. Keeping records of maintenance, repair and required updates of equipment 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 records of maintenance, 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 preventive maintenance is 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 technical manuals or attending training sessions provided by equipment manufacturers to maintain current knowledge. 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 medical equipment repairers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was industrial machinery mechanics: only about 8% of its durable work is work you already do. And on the numbers you do not need one. This job scores 23/100 here, with only 13% of the task list in the top band, and “test or calibrate components or equipment, following manufacturers' manuals and troubleshooting techniques…” 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.
Industrial Machinery Mechanics
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already disassemble malfunctioning equipment and remove, repair, or replace defective parts, and their equivalent is to disassemble machinery or equipment to remove parts and make repairs. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step.
Audiovisual Equipment Installers and Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already test or calibrate components or equipment, following manufacturers' manuals and troubleshooting techniques, using…, and their equivalent is to calibrate and test equipment, and locate circuit and component faults, using hand and…. 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. It is a pay cut, in those words: $52,600 against your $61,660, 14.7% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
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 keep records of maintenance, repair, and required updates of equipment, 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 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step.
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: 13% 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 testing or calibrating components or equipment 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 Precision instrument makers and repairers 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
In UK official statistics this job is counted as Precision instrument makers and repairers. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.
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:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for medical equipment repairers, and we are not going to point you at the nearest one and call it a fit.
There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 13% of the work on this page is already inside what they can do.
7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.
The AI Authority is a general community about working with AI, not a course for medical equipment repairers. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.
Noted, and thank you. We’ll email you if a Space for medical equipment repairers launches. Nothing else.
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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 Medical Equipment Repairers?
- Not as a job, but it is already doing parts of the work. Across the 20 official task statements scored for Medical Equipment Repairers (United States, SOC 49-9062), 13% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 23 out of 100 (range 18–29, 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 “Medical Equipment Repairers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Keep records of maintenance, repair, and required updates of equipment” (81/100, very high); “Make computations relating to load requirements of wiring or equipment, using algebraic expressions and standard formulas” (72/100, high); “Evaluate technical specifications to identify equipment or systems best suited for intended use and possible purchase, based on specifications, user needs, o…” (64/100, high). 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 “Medical Equipment Repairers” stay human?
- About 73% 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 medical equipment” (0/100, minimal); “Fabricate, dress down, or substitute parts or major new items to modify equipment to meet unique operational or research needs, working from job orders, sket…” (0/100, minimal); “Repair shop equipment, metal furniture, or hospital equipment, including welding broken parts or replacing missing parts, or bring item into local shop for m…” (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 “Medical Equipment Repairers” do about AI?
- Start from the ledger rather than the headline: 13% of this job's weighted core work is exposed, and roughly 73% 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 Medical Equipment Repairers 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
About the data on this page
- One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 1 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- 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 2026-08-05.
- 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.
Using these figures?
Cite this
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}
}Data as of release 2026-q4.1, published . 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.