Will AI replace Musical Instrument Repairers and Tuners?

Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Musical Instrument Repairers and Tuners (United States, SOC 49-9063), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 1 out of 100 (range 0–5, band: minimal). 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 “Musical Instrument Repairers and Tuners” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Inspect instruments to locate defects, and to determine their value or the level of restoration required” (11/100, minimal); “Play instruments to evaluate their sound quality and to locate any defects” (0/100, minimal); “Adjust string tensions to tune instruments, using hand tools and electronic tuning devices” (0/100, minimal). 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 “Musical Instrument Repairers and Tuners” stay human?

About 100% 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: “Assemble and install new pipe organs and pianos in buildings” (0/100, minimal); “Strike wood, fiberglass, or metal bars of instruments, and use tuned blocks, stroboscopes, or electronic tuners to evaluate tones made by instruments” (0/100, minimal); “Remove irregularities from tuning pins, strings, and hammers of pianos, using wood blocks or filing tools” (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 “Musical Instrument Repairers and Tuners” do about AI?

Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 100% 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 Musical Instrument Repairers and Tuners 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 24 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.

US dataswitch to UK

Musical Instrument Repairers and Tuners

aligning pads and keys on reed or wind instruments, removing dents and burrs from metal instruments and inspecting instruments to locate defects. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: playing instruments to evaluate their sound quality and to locate any defects 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: 0%
changing shape: 0%
staying human: 100%

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

Whole-job exposure score 1 out of 100 (0–5 allowing for uncertainty): minimal exposure, across 24 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 musical instrument repairers and tuners 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.

What shifts is the routine end of the work: the paper around the work, not the work.

Your week, as this page understands it

Repair percussion, stringed, reed, or wind instruments. May specialize in one area, such as piano tuning. The job title says “musical instrument repairers” or “tuners”: officially one job, two names. The real job is the part underneath: playing instruments to evaluate their sound quality and to locate any defects. 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 musical instrument repairers and tuners is not one task. It is 24 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is playing instruments to evaluate their sound quality and to locate any defects, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 0%
changing shape: 0%
staying human: 100%

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 2026-08-05. 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.

9 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

0 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.

Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.

Changing shape

0 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.

Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.

Staying human

24 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.

Playing instruments to evaluate their sound quality and to locate any defects
This work happens in the physical world: instruments, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Play instruments to evaluate their sound quality and to locate any defects.” (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: Playing an instrument to hear what is wrong needs the instrument in your hands.
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.
Disassembling instruments and parts for repair and adjustment
This work happens in the physical world: instruments, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Disassemble instruments and parts for repair and adjustment.” (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: Taking an instrument apart is hands-on 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.
Repairing or replacing musical instrument parts and components
This work happens in the physical world: musical instrument parts, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Repair or replace musical instrument parts and components, such as strings, bridges, felts, and keys, using hand and power tools.” (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 strings, felts, bridges and keys is done by hand with tools.
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.
Reassembling instruments following repair, using hand tools and power tools and glue, hair, yarn, resin or clamps and lubricate instruments
This work happens in the physical world: instruments following repair, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Reassemble instruments following repair, using hand tools and power tools and glue, hair, yarn, resin, or clamps, and lubricate instruments as necessary.” (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: Putting the instrument back together with glue and clamps is 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.
Comparing instrument pitches with tuning tool pitches to tune instruments
This work happens in the physical world: instrument pitches, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Compare instrument pitches with tuning tool pitches to tune instruments.” (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: Tuning means adjusting the actual instrument while listening to 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.
Inspecting instruments to locate defects
This work happens in the physical world: instruments, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect instruments to locate defects, and to determine their value or the level of restoration required.” (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: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Pricing and scoping a restoration is partly research, but finding the faults means handling the instrument.
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 1/4 · how much data exists 2/4.
Shaping old parts and replacement parts to improve tone or intonation
This work happens in the physical world: old parts, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Shape old parts and replacement parts to improve tone or intonation, using hand tools, lathes, or soldering irons.” (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: Reshaping parts to improve tone is skilled handwork judged by ear.
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.
Adjusting string tensions to tune instruments
This work happens in the physical world: tensions, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Adjust string tensions to tune instruments, using hand tools and electronic tuning devices.” (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: Tuning means turning pegs and pins on the instrument 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 2/4.
Mixing and measuring glue that will be used for instrument repair
This work happens in the physical world: glue, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Mix and measure glue that will be used for instrument repair.” (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: Mixing and measuring glue happens at the bench.
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.
Polishing instruments, using rags and polishing compounds, buffing wheels or burnishing tools
This work happens in the physical world: instruments, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Polish instruments, using rags and polishing compounds, buffing wheels, or burnishing tools.” (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: Polishing an instrument is done by hand with cloths and wheels.
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.

Show the other 14 tasks

Repairing cracks in wood or metal instruments
staying human
This work happens in the physical world: cracks, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Repair cracks in wood or metal instruments, using pinning wire, lathes, fillers, clamps, or soldering irons.” (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: Repairing cracks in wood or metal is craft work with tools.
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.
String instruments and adjusting trusses and bridges of instruments to obtain specified string tensions and heights
staying human
This work happens in the physical world: instruments, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “String instruments, and adjust trusses and bridges of instruments to obtain specified string tensions and heights.” (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: Stringing and setting bridge height is done by hand on the instrument.
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.
Making wood replacement parts, using woodworking machines and hand tools
staying human
This work happens in the physical world: wood replacement parts, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Make wood replacement parts, using woodworking machines and hand tools.” (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: Making replacement wooden parts is woodworking at a bench.
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.
Aligning pads and keys on reed or wind instruments
staying human
This work happens in the physical world: pads, in a real place. Software cannot follow it there.
importance 5 · Supplemental
Source: “Align pads and keys on reed or wind instruments.” (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: Aligning pads and keys is fine adjustment done 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.
Adjusting felt hammers on pianos to increase tonal mellowness or brilliance
staying human
This work happens in the physical world: felt hammers, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Adjust felt hammers on pianos to increase tonal mellowness or brilliance, using sanding paddles, lacquer, or needles.” (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: Voicing piano hammers with needles and sanding paddles is delicate handwork.
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.
Soldering posts and parts to hold them in their proper places
staying human
This work happens in the physical world: posts, in a real place. Software cannot follow it there.
importance 5 · Supplemental
Source: “Solder posts and parts to hold them in their proper places.” (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 posts and parts into place is fine handwork.
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.
Removing dents and burrs from metal instruments
staying human
This work happens in the physical world: dents, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Remove dents and burrs from metal instruments, using mallets and burnishing tools.” (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: Working dents out of metal instruments is done by hand with mallets and burnishers.
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.
Washing metal instruments in lacquer-stripping and cyanide solutions to remove lacquer and tarnish
staying human
This work happens in the physical world: metal instruments, in a real place. Software cannot follow it there.
importance 2 · Supplemental
Source: “Wash metal instruments in lacquer-stripping and cyanide solutions to remove lacquer and tarnish.” (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: Washing instruments in stripping solutions is physical workshop 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.
Refinishing instruments to protect and decorate them
staying human
This work happens in the physical world: instruments, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Refinish instruments to protect and decorate them, using hand tools, buffing tools, and varnish.” (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: Refinishing and varnishing is hands-on 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.
Delivering pianos to purchasers or to locations
staying human
This work happens in the physical world: pianos, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Deliver pianos to purchasers or to locations of their use.” (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: Moving a piano to a customer is heavy 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 1/4.
Refinishing and polishing piano cabinets or cases to prepare them for sale
staying human
This work happens in the physical world: piano cabinets, in a real place. Software cannot follow it there.
importance 2 · Supplemental
Source: “Refinish and polish piano cabinets or cases to prepare them for sale.” (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: Refinishing a piano case is hands-on finishing 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.
Removing irregularities from tuning pins
staying human
This work happens in the physical world: irregularities, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Remove irregularities from tuning pins, strings, and hammers of pianos, using wood blocks or filing tools.” (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: Filing pins and smoothing strings is done by hand inside the piano.
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.
Striking wood, fiberglass or metal bars of instruments and using tuned blocks, stroboscopes or electronic tuners to evaluate tones made
staying human
This work happens in the physical world: wood, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Strike wood, fiberglass, or metal bars of instruments, and use tuned blocks, stroboscopes, or electronic tuners to evaluate tones made by instruments.” (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: Striking bars and listening to the result needs the instrument present.
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.
Assembling and installing new pipe organs and pianos in buildings
staying human
This work happens in the physical world: new pipe organs, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Assemble and install new pipe organs and pianos in buildings.” (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: Assembling an organ or piano in a building is physical installation 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.

What this job pays, and how many people do it

Median pay: $46,420a 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: 5,380in 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. Almost none of this job is reading one thing and writing another (the shape today's tools are built for), because the work turns on instruments, which happens with people and things rather than on a screen. The rows above are the evidence rather than the reassurance: playing instruments to evaluate their sound quality and to locate any defects and disassembling instruments and parts for repair and adjustment. The parts that are changing are the paperwork and the tools around the job, not the middle of it, 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: playing instruments to evaluate their sound quality and to locate any defects is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 0% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 100% in rows it is nowhere near. That is the position, measured across 24 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. The routine end of the work 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 the routine work, 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 instruments 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 playing instruments to evaluate their sound quality and to locate any defects. 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 musical instrument repairers and tuners (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 7% of its durable work is work you already do and it pays 14.6% less. And on the numbers you do not need one. This job scores 1/100 here, with only 0% of the task list in the top band, and “play instruments to evaluate their sound quality and to locate any defects” 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 disassemble instruments and parts for repair and adjustment, and their equivalent is to disassemble broken or defective equipment to facilitate repair and reassemble equipment when repairs…. 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: $39,630 against your $46,420, 14.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Avionics Technicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already shape old parts and replacement parts to improve tone or intonation, using hand…, and their equivalent is to adjust, repair, or replace malfunctioning components or assemblies, using hand tools or soldering…. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Electric Motor, Power Tool, and Related Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already disassemble instruments and parts for repair and adjustment, and their equivalent is to disassemble defective equipment. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% 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: 0% of its task weight, across 24 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 playing instruments to evaluate their sound quality and to locate any defects 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 Other skilled trades n.e.c. 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 Other skilled trades n.e.c.. 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:
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 musical instrument repairers / tuners launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for musical instrument repairers / tuners 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 musical instrument repairers / tuners 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 musical instrument repairers / tuners 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 Musical Instrument Repairers and Tuners?: Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Musical Instrument Repairers and Tuners (United States, SOC 49-9063), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 1 out of 100 (range 0–5, band: minimal). 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 “Musical Instrument Repairers and Tuners” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Inspect instruments to locate defects, and to determine their value or the level of restoration required” (11/100, minimal); “Play instruments to evaluate their sound quality and to locate any defects” (0/100, minimal); “Adjust string tensions to tune instruments, using hand tools and electronic tuning devices” (0/100, minimal). 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 “Musical Instrument Repairers and Tuners” stay human?: About 100% 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: “Assemble and install new pipe organs and pianos in buildings” (0/100, minimal); “Strike wood, fiberglass, or metal bars of instruments, and use tuned blocks, stroboscopes, or electronic tuners to evaluate tones made by instruments” (0/100, minimal); “Remove irregularities from tuning pins, strings, and hammers of pianos, using wood blocks or filing tools” (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 “Musical Instrument Repairers and Tuners” do about AI?: Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 100% 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 Musical Instrument Repairers and Tuners 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 24 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.
9 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.

How we score a job Download this release Look up another job

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}
}

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.