Will AI replace Mechanical Door Repairers?
Most of the work in Mechanical Door Repairers still leans on things AI struggles with — research rates its theoretical AI reach at only ~14%, and real-world use lower still.
O*NET-SOC 49-9011
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~14%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~14%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- Complete required paperwork, such as work orders, according to services performed or required.
- Collect payment upon job completion.
- Inspect job sites, assessing headroom, side room, or other conditions to determine appropriateness of door for a given location.
- Study blueprints and schematic diagrams to determine appropriate methods of installing or repairing automated door openers.
- Wind large springs with upward motion of arm.
- Adjust doors to open or close with the correct amount of effort, or make simple adjustments to electric openers.
- Carry springs to tops of doors, using ladders or scaffolding, and attach springs to tracks to install spring systems.
- Repair or replace worn or broken door parts, using hand tools.
- Fasten angle iron back-hangers to ceilings and tracks, using fasteners or welding equipment.
- Install door frames, rails, steel rolling curtains, electronic-eye mechanisms, or electric door openers and closers, using power tools, hand tools, and electronic test equipment.
- Assemble and fasten tracks to structures or bucks, using impact wrenches or welding equipment.
- Set doors into place or stack hardware sections into openings after rail or track installation.
- Operate lifts, winches, or chain falls to move heavy curtain doors.
- Remove or disassemble defective automatic mechanical door closers, using hand tools.
- Fabricate replacements for worn or broken parts, using welders, lathes, drill presses, or shaping or milling machines.
- Prepare doors for hardware installation, such as drilling holes to install locks.
- Run low voltage wiring on ceiling surfaces, using insulated staples.
- Cut door stops or angle irons to fit openings.
- Install dock seals, bumpers, or shelters.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.