Musical Instrument Repairers and Tuners

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

No strongly automatable task in the current data release.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Remove irregularities from tuning pins, strings, and hammers of pianos, using wood blocks or filing tools.40
• Adjust string tensions to tune instruments, using hand tools and electronic tuning devices.39
• String instruments, and adjust trusses and bridges of instruments to obtain specified string tensions and heights.39

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Inspect instruments to locate defects, and to determine their value or the level of restoration required.25
• Refinish instruments to protect and decorate them, using hand tools, buffing tools, and varnish.26
• Polish instruments, using rags and polishing compounds, buffing wheels, or burnishing tools.29

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 33 puts Musical Instrument Repairers and Tuners in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 7 augmentable, and 13 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $46,420median wage
• 5,380employed
• 600annual openings
• +1.6%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Electric Motor, Power Tool, and Related Repairers 35
• Timing Device Assemblers and Adjusters 30
• Watch and Clock Repairers 33
• Coil Winders, Tapers, and Finishers 42
• Tool Grinders, Filers, and Sharpeners 40
• Electrical and Electronic Equipment Assemblers 41

FAQ — Musical Instrument Repairers and Tuners

What does a score of 33 mean for a Musical Instrument Repairers and Tuners?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 33 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Inspect instruments to locate defects, and to determine their value or the level of restoration required; Refinish instruments to protect and decorate them, using hand tools, buffing tools, and varnish; Polish instruments, using rags and polishing compounds, buffing wheels, or burnishing tools. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.