55
/100

SOC 49-9063

Musical Instrument Repairers and Tuners

ElevatedFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

55/100

Elevated

US Employment

๐Ÿ‘ฅ

5,730

Total workers

Median Wage

๐Ÿ’ฐ

$45K

$30K โ€“ $73K

Projected Growth

๐Ÿ“ˆ

+1.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Musical Instrument Repairers and Tuners face a risk score of 55/100 โ€” 11 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $45K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 55/100, Musical Instrument Repairers and Tuners faces moderate automation pressure. While tasks like robotic inspection of hard-to-reach equipment are increasingly handled by AI, the role retains significant human elements. The 5,730 workers in this occupation should focus on strengthening skills in customer communication about technical issues and hands-on fine motor work in intricate machinery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Musical Instrument Repairers and Tuners?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Robotic inspection of hard-to-reach equipment

2

Automated fault detection via IoT sensor networks

3

Augmented reality-guided remote diagnostics

4

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer communication about technical issues

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Working in confined, elevated, or hazardous spaces

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Play instruments to evaluate their sound quality and to locate any defects.

โ€ข

Adjust string tensions to tune instruments, using hand tools and electronic tuning devices.

โ€ข

Reassemble instruments following repair, using hand tools and power tools and glue, hair, yarn, resin, or clamps, and lubricate instruments as necessary.

โ€ข

Disassemble instruments and parts for repair and adjustment.

โ€ข

Repair or replace musical instrument parts and components, such as strings, bridges, felts, and keys, using hand and power tools.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Mechanical

โ€ข

Fine Arts

โ€ข

English Language

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$45K
$-990

National avg: $46K

Risk Score55/100
+11

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth1.4%
-2.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K55%
Electrical Power-Line Installers and Repairers28$93K84%
Supervisors of Installation, Maintenance, and Repair Workers33$78K74%