Shigoto Zukan
日本語

Will AI replace mechanical door repairers?AI replacement risk 22% and how the work is changing

United States Manufacturing & Repair Confidence ★★★★★

Median annual pay
$55,720
25th–75th pct. $46,610–$65,630
Top pay (est.)
$101,700
Top 10% $78,260
Pay in 5 years
$65,600est.
2031
Pay in 10 years
$77,300est.
$66,500–$89,800
Outlook score
58/100
★★★☆☆ Average
AI replacement risk
22%
Low
Job growth (10 yr)
+6.4%
2,100 openings / yr

Will AI replace Mechanical Door Repairers? AI replacement risk

22%
Low
Ranked #147 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Skills, education and requirements for Mechanical Door Repairers

Key skills

Installation
3.4
Quality Control Analysis
3.4
Critical Thinking
3.1
Repairing
3.1
Coordination
3.0
Complex Problem Solving
3.0
Operations Monitoring
3.0
Operation and Control
3.0

O*NET skill level ratings (0–7).

Key knowledge areas

Administration and Management
4.1
Mechanical
4.1
Building and Construction
3.8
Customer and Personal Service
3.5
Education and Training
3.5
Production and Processing
3.1
Engineering and Technology
3.0
English Language
2.9

What the work involves

Handling and Moving ObjectsPerforming General Physical ActivitiesRepairing and Maintaining Electronic EquipmentUpdating and Using Relevant KnowledgeControlling Machines and ProcessesRepairing and Maintaining Mechanical EquipmentEstablishing and Maintaining Interpersonal RelationshipsMonitoring Processes, Materials, or Surroundings

Important abilities

Static StrengthExtent FlexibilityVisualizationTrunk StrengthManual DexterityOral Comprehension

Training before entry

3–6 months
17%
Up to 1 month
16%
None / short demo
15%
1–2 years
14%

Related work experience

None
48%
1–2 years
11%
2–4 years
11%
1–3 months
11%
3–6 months
11%
6–12 months
3%
6–8 years
3%

Job Zone 2 — some preparation needed (O*NET)

Difficulty of entry: ★☆☆☆☆ Easy to enter (from education, training, experience and Job Zone)

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.