51
/100

SOC 49-9069

Precision Instrument and Equipment Repairers, All Other

ElevatedFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

51/100

Elevated

US Employment

๐Ÿ‘ฅ

9,680

Total workers

Median Wage

๐Ÿ’ฐ

$67K

$45K โ€“ $101K

Projected Growth

๐Ÿ“ˆ

+2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

35/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Precision Instrument and Equipment Repairers, All Other face a risk score of 51/100 โ€” 7 points above the national average of 44. With only 35/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $67K ($21K above the national median). 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 51/100, Precision Instrument and Equipment Repairers, All Other faces moderate automation pressure. While tasks like automated fault detection via iot sensor networks are increasingly handled by AI, the role retains significant human elements. The 9,680 workers in this occupation should focus on strengthening skills in diagnosing novel equipment failures through physical inspection and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Precision Instrument and Equipment Repairers, All Other?

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

โš ๏ธ Top Risk Factors

1

Automated fault detection via IoT sensor networks

2

Augmented reality-guided remote diagnostics

3

Robotic inspection of hard-to-reach equipment

4

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Customer communication about technical issues

โœ“

Adapting repairs to non-standard or legacy equipment

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“Š vs National Average

Median Wage$67K
+$21K

National avg: $46K

Risk Score51/100
+7

National avg: 44/100

GenAI Exposure35/100
-3

National avg: 38/100

Projected Growth2.0%
-1.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K67%
Electrical Power-Line Installers and Repairers28$93K76%
Supervisors of Installation, Maintenance, and Repair Workers33$78K81%