55
/100

SOC 49-9011

Mechanical Door Repairers

ElevatedFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

55/100

Elevated

US Employment

๐Ÿ‘ฅ

27,970

Total workers

Median Wage

๐Ÿ’ฐ

$51K

$37K โ€“ $73K

Projected Growth

๐Ÿ“ˆ

+11.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Mechanical Door Repairers 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 $51K ($5K 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 55/100, Mechanical Door Repairers 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 27,970 workers in this occupation should focus on strengthening skills in customer communication about technical issues and adapting repairs to non-standard or legacy equipment to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Mechanical Door Repairers?

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

Robotic inspection of hard-to-reach equipment

3

Augmented reality-guided remote diagnostics

4

Predictive maintenance AI reducing reactive repair needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer communication about technical issues

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Diagnosing novel equipment failures through physical inspection

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

Wind large springs with upward motion of arm.

โ€ข

Adjust doors to open or close with the correct amount of effort, or make simple adjustments to electric openers.

โ€ข

Carry springs to tops of doors, using ladders or scaffolding, and attach springs to tracks to install spring systems.

โ€ข

Repair or replace worn or broken door parts, using hand tools.

โ€ข

Complete required paperwork, such as work orders, according to services performed or required.

๐Ÿ’ป Technology Skills

โ€ข

Web page creation and editing software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

โ€ข

Presentation software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Building and Construction

โ€ข

Engineering and Technology

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$51K
+$5K

National avg: $46K

Risk Score55/100
+11

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth11.4%
+7.7%

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%