Share and intensity of work current AI systems can materially affect.
SOC 49-9011
Mechanical Door Repairers AI displacement risk
Mechanical door repairers install and service garage doors, openers, and the high-tension springs that make a three-hundred-pound door liftable. Smart openers add app connectivity, but spring work is genuinely dangerous and door alignment is judged on site, in the opening.
Likely potential for exposed tasks to move to software after workflow integration.
The trade's hazards are the barrier to casual competition: torsion-spring injuries send DIYers to the ER, which keeps the work professional. Smart-opener diagnostics are an add-on service, not a replacement.
Distribution
Where Mechanical Door Repairers sits across 620 tracked roles
Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
25 O*NET task statements matched to SOC 49-9011. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $55,720 (May 2025, US national). The latest BLS row matched SOC 49-9011.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Mechanical Door Repairers
SOC 49-9011 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Mechanical Door Repairers
The current evidence import matched 25 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks25
SOC49-9011
- Core task / ID 8388
Wind large springs with upward motion of arm.
- Core task / ID 8391
Complete required paperwork, such as work orders, according to services performed or required.
- Core task / ID 8393
Repair or replace worn or broken door parts, using hand tools.
- Core task / ID 8392
Fasten angle iron back-hangers to ceilings and tracks, using fasteners or welding equipment.
- Core task / ID 8404
Order replacement springs, sections, or slats.
- Core task / ID 8394
Carry springs to tops of doors, using ladders or scaffolding, and attach springs to tracks to install spring systems.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Adjust doors to open or close with correct effort
Exposure 20, automation 8%, augmentation 38%.
O*NET evidence: Adjust doors to open or close with the correct amount of effort, or make simple adjustm... (ID 8387)
Repair or replace worn or broken door parts
Exposure 20, automation 8%, augmentation 38%.
O*NET evidence: Repair or replace worn or broken door parts, using hand tools. (ID 8393)
Install spring systems on ladders or scaffolding
Exposure 16, automation 6%, augmentation 32%.
O*NET evidence: Carry springs to tops of doors, using ladders or scaffolding, and attach springs to tra... (ID 8394)
Complete work orders for services performed
Exposure 50, automation 28%, augmentation 54%.
O*NET evidence: Complete required paperwork, such as work orders, according to services performed or re... (ID 8391)
TaskExposureAutomationAugmentation
Adjust doors to open or close with correct effort208%38%
Repair or replace worn or broken door parts208%38%
Install spring systems on ladders or scaffolding166%32%
Complete work orders for services performed5028%54%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowDoor Installation Contractor
Training horizon: 12-24 months. Skill overlap 64. Wage preservation signal 132.
- Earn contractor licensing
- Bid residential and commercial work
- Build a crew
role redesign
LowField Service Supervisor
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 118.
- Lead service technicians
- Own scheduling and routing
- Manage safety training
Comparison guides
Compare the next move before you commit
12-24 months
Mechanical Door Repairers to Door Installation Contractor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Mechanical Door Repairers into Door Installation Contractor.
6-12 months
Mechanical Door Repairers to Field Service Supervisor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Mechanical Door Repairers into Field Service Supervisor.
What the AI risk score means for Mechanical Door Repairers
The displacement pressure score for Mechanical Door Repairers is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Complete work orders for services performed carries 28% automation pressure, while Complete work orders for services performed carries 54% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $55,720 (May 2025, US national). Employment context: In-home door repair with spring-tension stakes. Typical education: High school plus on-the-job training.
Wage vulnerability is 44, while transition feasibility is 60. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Spring danger keeps work professional
- Smart openers add service revenue
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Mechanical Door Repairers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Spring system technique
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Door alignment precision
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Opener diagnostics
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Work-order documentation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Door Installation Contractor, such as earn contractor licensing.
- By 90 days, compare internal openings and external postings for Door Installation Contractor or Field Service Supervisor and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Mechanical Door Repairers
Will AI replace Mechanical Door Repairers?
Mechanical door repairers install and service garage doors, openers, and the high-tension springs that make a three-hundred-pound door liftable. Smart openers add app connectivity, but spring work is genuinely dangerous and door alignment is judged on site, in the opening. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Mechanical Door Repairers work are most exposed to AI?
Complete work orders for services performed and Adjust doors to open or close with correct effort show the strongest automation pressure in this model. Complete work orders for services performed and Adjust doors to open or close with correct effort are better treated as AI-augmented work.
What should Mechanical Door Repairers learn next?
Start with Spring system technique, Door alignment precision, Opener diagnostics. The most practical adjacent paths in this model are Door Installation Contractor and Field Service Supervisor.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics