What should someone working in “First-Line Supervisors of Mechanics, Installers, and Repairers” do about AI?

Start from the ledger rather than the headline: 27% of this job's weighted core work is exposed, and roughly 70% 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.

US dataswitch to UK

First-Line Supervisors of Mechanics, Installers, and Repairers

inspecting, testing and measuring completed work, monitoring tool and part inventories and the condition and maintenance of shops to ensure adequate working conditions and requisitioning materials and supplies. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: requisitioning materials and supplies, such as tools, equipment or replacement parts. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 27%
changing shape: 3%
staying human: 70%

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

Whole-job exposure score 34 out of 100 (29–40 allowing for uncertainty): low exposure, across 22 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 first-line supervisors of mechanics, installers, and 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 2026-08-04. Read the full method.

That slice is not coming back; the core of the job, inspecting and monitoring work areas, stays yours. The tools change hands, the accountability doesn't.

Your week, as this page understands it

Directly supervise and coordinate the activities of mechanics, installers, and repairers. May also advise customers on recommended services. Excludes team or work leaders. The job title says “first-line supervisors of mechanics”, “installers” or “repairers”: officially one job, several names. The real job is the part underneath: inspecting and monitoring work areas. 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 first-line supervisors of mechanics, installers, and repairers is not one task. It is 22 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is inspecting and monitoring work areas, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 27%
changing shape: 3%
staying human: 70%

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.

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

6 tasks

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.

Requisitioning materials and supplies, such as tools, equipment or replacement parts
This is reading one thing and writing another: materials in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Requisition materials and supplies, such as tools, equipment, or replacement parts.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very 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: Raising orders for parts and supplies is routine system work that software can complete end to end.
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 4/4.
Determining schedules, sequences and assignments for work activities, based on work priority
This is reading one thing and writing another: schedules, sequences and assignments in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Determine schedules, sequences, and assignments for work activities, based on work priority, quantity of equipment, and skill of personnel.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 allowing for uncertainty): 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: Matching jobs to people and equipment is a scheduling puzzle software is good at solving.
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.
Computing estimates and actual costs of factors
This is reading one thing and writing another: estimates in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Compute estimates and actual costs of factors such as materials, labor, or outside contractors.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): 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: Costing materials, labour and contractor quotes is arithmetic on documented rates, which software handles 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.
Participating in budget preparation and administration
This is reading one thing and writing another: budget preparation in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Participate in budget preparation and administration, coordinating purchasing and documentation and monitoring departmental expenditures.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): 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: Budget building and expenditure tracking are spreadsheet tasks that software can largely take over.
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.
Developing, implementing or evaluating maintenance policies and procedures
This is reading one thing and writing another: maintenance policies in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Develop, implement, or evaluate maintenance policies and procedures.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): 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: Maintenance policies and procedures are documents, and drafting them from standards is something 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 0/4 · how much data exists 3/4.

Changing shape

1 task

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.

Developing or implementing electronic maintenance programs or computer information management systems
The software now makes the first pass at electronic maintenance programs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Supplemental
Source: “Develop or implement electronic maintenance programs or computer information management systems.” (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: Setting up maintenance software is mostly configuration and documentation, which software itself now handles well.
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.

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.

Inspecting and monitoring work areas
This work happens in the physical world: work areas, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect and monitor work areas, examine tools and equipment, and provide employee safety training to prevent, detect, and correct unsafe conditions or violations of procedures and safety rules.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 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: Safety courses can be written by software, but spotting hazards means walking the workshop and looking.
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 1/4 · how much data exists 3/4.
Monitoring employees' work levels and reviewing work performance
This work happens in the physical world: employees' work levels, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor employees' work levels and review work performance.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Production figures can be tracked automatically, but judging how someone is working means seeing them at 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 2/4.
Counseling employees about work-related issues and assisting employees to correct job-skill deficiencies
The value here is that a specific person handles employees and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Counsel employees about work-related issues and assist employees to correct job-skill deficiencies.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (9–17 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Helping someone improve at their job depends on a trusting working relationship built face to face.
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 3/4 · how much data exists 2/4.
Examining objects, systems or facilities and analyzing information to determine needed installations, services or repairs
This work happens in the physical world: objects, systems or facilities and analyzing information, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Working out what needs fixing starts with examining the actual equipment or building.
The five ratings: output a model can produce 1/4 · 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.

Show the other 12 tasks

Compiling operational or personnel records
shifting to AI
This is reading one thing and writing another: operational in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Compile operational or personnel records, such as time and production records, inventory data, repair or maintenance statistics, or test results.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 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: Pulling time, production and repair figures into records is routine data work that software does quickly.
The five ratings: output a model can produce 4/4 · 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.
Designing equipment configurations to meet personnel needs
staying human
The ratings behind this row put equipment configurations well outside what today's tools can do on their own.
importance 3 · Supplemental
Source: “Design equipment configurations to meet personnel needs.” (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: mistakes that are cheap to catch.
The rating behind it: Layouts can be drafted, but the useful judgement comes from knowing the site and the people using it.
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 2/4.
Recommending or initiating personnel actions
staying human
The value here is that a specific person handles personnel actions and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Recommend or initiate personnel actions, such as hires, promotions, transfers, discharges, or disciplinary measures.” (O*NET task statement)
How this row was scored
Exposure score: 31 out of 100 (24–38 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: Software can draft the paperwork, but deciding and delivering hiring or discipline decisions stays with the manager.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Reviewing, evaluating, accept and coordinating completion of work bid from contractors
staying human
The value here is that a specific person handles accept and stands behind it. That is earned, not computed.
importance 4 · Supplemental
Source: “Review, evaluate, accept, and coordinate completion of work bid from contractors.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Comparing bids can be drafted automatically, but choosing and dealing with contractors involves judgement and relationships.
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 3/4.
Monitoring tool and part inventories and the condition and maintenance of shops to ensure adequate working conditions
staying human
This work happens in the physical world: tool, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor tool and part inventories and the condition and maintenance of shops to ensure adequate working conditions.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 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: Stock levels are easy to track in software; checking the state of the workshop means walking 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 0/4 · how much data exists 3/4.
Investigating accidents or injuries and preparing reports of findings
staying human
This work happens in the physical world: accidents, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Investigate accidents or injuries and prepare reports of findings.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 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: The written report is easy to draft; getting the facts means visiting the scene and talking to people.
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 1/4 · how much data exists 3/4.
Conducting or arranging for worker training in safety
staying human
This work happens in the physical world: worker, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Conduct or arrange for worker training in safety, repair, or maintenance techniques, operational procedures, or equipment use.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 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 value is that a specific person does it.
The rating behind it: Course material can be produced by software, though hands-on training happens with real equipment and people.
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 2/4 · how much data exists 3/4.
Meeting with vendors or suppliers to discuss products used in repair work
staying human
The value here is that a specific person handles vendors and stands behind it. That is earned, not computed.
importance 3 · Core
Source: “Meet with vendors or suppliers to discuss products used in repair work.” (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: Supplier meetings turn on negotiation and relationships rather than on assembling product information.
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.
Interpreting specifications, blueprints or job orders to construct templates and lay out reference points for workers
staying human
This work happens in the physical world: specifications, blueprints or job orders, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Interpret specifications, blueprints, or job orders to construct templates and lay out reference points for workers.” (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: Reading the drawings is something software does well; making templates and marking out reference points 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 2/4.
Conferring with personnel, such as management, engineering, quality control, customer or union workers' representatives
staying human
The value here is that a specific person handles personnel and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Confer with personnel, such as management, engineering, quality control, customer, or union workers' representatives, to coordinate work activities, resolve employee grievances, or identify and review resource needs.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: These talks settle grievances and priorities because people trust the person in the room, not the paperwork.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.
Inspecting, testing and measuring completed work
staying human
This work happens in the physical world: completed work, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect, test, and measure completed work, using devices such as hand tools or gauges to verify conformance to standards or repair requirements.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking finished work with gauges and hand tools means handling the parts yourself.
The five ratings: output a model can produce 1/4 · 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.
Performing skilled repair or maintenance operations
staying human
This work happens in the physical world: skilled repair, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform skilled repair or maintenance operations, using equipment such as hand or power tools, hydraulic presses or shears, or welding 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: This is repair work with tools in your hands, which software cannot do.
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: $79,860a 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: 617,500in 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: schedules, sequences and assignments in, a record out. The rows above are exactly that shape: requisitioning materials and supplies, such as tools, equipment or replacement parts and determining schedules, sequences and assignments for work activities. What it cannot do is be there in the room, and that is still where work areas 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

Your week is splitting in two, and which half fills it is the whole question. Requisitioning materials and supplies, such as tools, equipment or replacement parts is going; inspecting and monitoring work areas is not.

So, given all that: 27% of this job's task weight sits in rows the software is already learning, 3% in rows that change shape rather than disappear, and 70% in rows it is nowhere near. That is the position, measured across 22 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (inspecting and monitoring work areas) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles inspecting and monitoring work areas, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. 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 first-line supervisors of mechanics, installers, and repairers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was helpers--installation, maintenance, and repair workers: only about 8% of its durable work is work you already do, it pays 50.4% less and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 34/100 here, with only 27% of the task list in the top band, and “inspect and monitor work areas, examine tools and equipment, and provide employee…” 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.

Helpers--Installation, Maintenance, and Repair Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already requisition materials and supplies, and their equivalent is to hold or supply tools, parts, equipment, and supplies for other workers. 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. It is a pay cut, in those words: $39,630 against your $79,860, 50.4% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 95,580 of those jobs against 617,500 of yours (OEWS May 2025), 15% as many seats.
Look at that job’s page anyway →
First-Line Supervisors of Production and Operating Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already confer with personnel, such as management, engineering, quality control, customer, or union workers'…, and their equivalent is to confer with management or subordinates to resolve worker problems, complaints, or grievances. 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.
Look at that job’s page anyway →
First-Line Supervisors of Construction Trades and Extraction Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already recommend or initiate personnel actions, and their equivalent is to suggest or initiate personnel actions. 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.
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: 27% of its task weight, across 22 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
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.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are requisitioning materials and supplies, such as tools, equipment or replacement parts, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

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

The other groups this work is counted across:

In UK official statistics this job is counted as Precision instrument makers and repairers, Computer system and equipment installers and servicers, Rail and rolling stock builders and repairers, Vehicle technicians, mechanics and electricians, Air-conditioning and refrigeration installers and repairers, Metal working production and maintenance fitters and technicians, Aircraft maintenance and related trades and Tyre, exhaust and windscreen fitters. 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.

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No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for first-line supervisors of mechanics / installers / 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 27% of the work on this page is already inside what they can do.

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The AI Authority is a general community about working with AI, not a course for first-line supervisors of mechanics / installers / 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.

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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.

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Questions people ask about this job

Will AI replace First-Line Supervisors of Mechanics, Installers, and Repairers?: Not as a job, but it is already doing parts of the work. Across the 22 official task statements scored for First-Line Supervisors of Mechanics, Installers, and Repairers (United States, SOC 49-1011), 27% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 34 out of 100 (range 29–40, 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 “First-Line Supervisors of Mechanics, Installers, and Repairers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Compile operational or personnel records, such as time and production records, inventory data, repair or maintenance statistics, or test results” (93/100, very high); “Requisition materials and supplies, such as tools, equipment, or replacement parts” (83/100, very high); “Participate in budget preparation and administration, coordinating purchasing and documentation and monitoring departmental expenditures” (75/100, 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 “First-Line Supervisors of Mechanics, Installers, and Repairers” stay human?: About 70% 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: “Perform skilled repair or maintenance operations, using equipment such as hand or power tools, hydraulic presses or shears, or welding equipment” (0/100, minimal); “Inspect, test, and measure completed work, using devices such as hand tools or gauges to verify conformance to standards or repair requirements” (8/100, minimal); “Examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs” (8/100, 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 “First-Line Supervisors of Mechanics, Installers, and Repairers” do about AI?: Start from the ledger rather than the headline: 27% of this job's weighted core work is exposed, and roughly 70% 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 First-Line Supervisors of Mechanics, Installers, and 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 22 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.
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 2026-08-04.
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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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.