Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They fix and maintain doors, like garage or automatic ones, to ensure they open and close smoothly without any problems.
This role is evolving
The career of a mechanical door repairer is labeled as "Evolving" because while the core hands-on repair tasks are still done by humans, AI tools are starting to assist with some administrative tasks like scheduling and invoicing. Although building robots to replace repairers is costly and impractical right now, technicians are using simple digital tools to make their work more efficient.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of a mechanical door repairer is labeled as "Evolving" because while the core hands-on repair tasks are still done by humans, AI tools are starting to assist with some administrative tasks like scheduling and invoicing. Although building robots to replace repairers is costly and impractical right now, technicians are using simple digital tools to make their work more efficient.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Mechanical Door Repairers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Right now, mechanical door repair work is largely hands-on. Standard task lists show repairers using hand tools to fix or replace parts and closers on the spot [1] [1], and even account tasks (like paperwork or taking payment) are done by people with tablets or forms [1] [1]. We found no examples of robots actually fixing doors or springs.
Analysts point out that jobs involving messy or unpredictable physical work (like roofing or machine maintenance) are among the least vulnerable to AI [2]. In short, AI hasn’t yet replaced these core repair tasks. In fact, as one tech commentator quipped, when a door or toilet breaks at 2 AM, you’ll still call a human, not ChatGPT [2].

AI in the real world
There are a few digital tools to help door technicians with admin work, but real up-front automation costs and practical limits discourage replacing people. Building a robot that can climb ladders, cut metal to fit, and diagnose a stuck door would be very expensive compared to a $50K/year human worker [3]. Meanwhile, workers often use mobile apps for scheduling or invoicing – simple AI-like tools that augment rather than replace the technician.
Tech leaders note that the AI boom is actually boosting demand for skilled trades, not cutting them [4]. For example, NVIDIA’s CEO recently said AI infrastructure needs more plumbers and electricians, not fewer [4]. Labor market and social factors also favor slow automation.
Skilled technicians are in high demand (and getting higher pay) [2] [2], so companies invest in training people instead of risking customer dissatisfaction with untested robots. In short, while some software may help with office tasks, the core skills of troubleshooting, safety, and craftsmanship are still very human – and experts say those human skills will remain highly valuable [2] [4].

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Median Wage
$51,050
Jobs (2024)
28,400
Growth (2024-34)
+11.4%
Annual Openings
2,700
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
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.
Remove or disassemble defective automatic mechanical door closers, using hand tools.
Wind large springs with upward motion of arm.
Set doors into place or stack hardware sections into openings after rail or track installation.
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.
Prepare doors for hardware installation, such as drilling holes to install locks.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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