Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Maintenance and Repair Worker:

58.7%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient maintenance and repair work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For maintenance and repair workers, seven of eight sources had data (only Anthropic was missing) and largely agreed: hands-on fixing of machines and buildings stays human, with Microsoft and OpenAI Signals both rating AI resilience High. Hiring demand is strong, but pay and mobility signals pulled the score down, landing this career at "Mostly Resilient" with medium confidence.

AI Resilience Report forMaintenance and Repair Workers, General

$49,590 median salary148,700 annual openingsSOC Code: 49-9071.00

Maintenance and Repair Workers, General are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Maintenance and Repair Workers are labeled "Mostly Resilient" because the hands-on, physical side of the job (grabbing tools, diagnosing problems in person, and fixing equipment on the spot) is still very difficult for AI or robots to replicate. AI is absolutely entering this field, but it is mostly taking over the paperwork, like scheduling repairs, ordering parts, and predicting when something might break down, which actually frees workers up to focus on the skilled labor that matters most.

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is mostly resilient

Maintenance and Repair Workers are labeled "Mostly Resilient" because the hands-on, physical side of the job (grabbing tools, diagnosing problems in person, and fixing equipment on the spot) is still very difficult for AI or robots to replicate. AI is absolutely entering this field, but it is mostly taking over the paperwork, like scheduling repairs, ordering parts, and predicting when something might break down, which actually frees workers up to focus on the skilled labor that matters most.

Read full analysis

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

Analysis of Current AI Resilience

Maintenance and Repair Worker

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Maintenance and Repair Worker jobs?

If you're worried about a robot taking over a maintenance job, here's the honest answer: AI is showing up in this field, but mostly as a helper — not a replacement. Most current automation targets the paperwork side of the job, like logging repairs, ordering parts, and estimating costs. MaintainX's third annual State of Industrial Maintenance report reveals 58% of teams are using AI in their operations, with 75% reporting measurable ROI in under six months, according to industry news site Inspenet [1].

AI copilots now read manuals, draft work orders, and predict when equipment will fail — but a human still has to grab the wrench. As the Association of Physical Plant Administrators (APPA) explains [2], digital tools can turn campuses into places where "buildings monitor their maintenance requirements, HVAC systems self-adjust in real time, and space is optimized." That's augmentation — AI spots the problem, and workers fix it. Even the newest robotics research agrees the hands-on work is safe for a while: McKinsey's 2026 robotics outlook [3] says value from physical AI will come "not through worker replacement…but through our ability to innovate what products we make," elevating humans into problem-solving roles.

Reveal More
AI Adoption

How fast is AI adoption growing for Maintenance and Repair Worker?

Adoption is moving fast for software tasks and slower for physical repair. On the fast side, Maintenance World reports [4] that building maintenance in 2026 sits "at a crossroads between 'AI hype' and 'Industrial AI' reality," meaning managers are actively buying condition-monitoring and predictive tools. Facilities Dive's 2026 trends piece [5] notes that leaders now want "capital requests supported by documented evidence rather than assumptions," which pushes AI-driven maintenance data into daily decisions.

Trade groups are pushing the same direction — the Mechanical Contractors Association of America's MEP Innovation Conference [6] signaled a shift from jobsite thinking to manufacturing discipline, embracing digital tools. On the slow side, hands-on repair is hard to automate: Maintenance World's July 2026 piece on physical AI [4] shows humanoid robots are still in pilot stages at places like BMW, far from replacing a plumber or electrician. Labor demand also protects these jobs — the U.S. Bureau of Labor Statistics [7] projects 4% growth from 2025–35, adding about 68,600 jobs.

Translation: learn the tools, embrace the AI copilots, and your hands-on skills will remain valuable.

Reveal More
Will AI replace Maintenance and Repair Worker?

Will AI replace Maintenance and Repair Worker?

No. We don't think AI will replace Maintenance and Repair Workers, General, though we do expect the job to change.

We give this career a 58.7% AI Resilience Score, and the core reason is simple: AI can spot a problem, but it still needs a human to fix it. Right now, the technology is handling paperwork-style tasks like logging repairs, ordering parts, and predicting equipment failures. About 58% of maintenance teams are already using AI in their operations [1], but those tools are copilots, not replacements. The physical repair work itself remains stubbornly hard to automate, with humanoid robots still in early pilot stages far from replacing a plumber or electrician [4].

Demand for these workers is holding up well. The U.S. Bureau of Labor Statistics projects 4% job growth from 2025 to 2035, adding around 68,600 jobs [7]. Facilities leaders are leaning into AI-driven maintenance data to justify capital decisions [5], which means workers who understand those tools will be more valuable, not less.

The honest caveat is that wages and career flexibility face real pressure over time. The best move is to embrace the AI tools showing up in your field now, because the workers who pair hands-on skills with digital fluency are the ones who will stay ahead.

Reveal More
Career Village Logo

Help us improve this report.

Tell us if this analysis feels accurate or we missed something.

Share your feedback

Your Career Starts Here

Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Career Village Logo

Ask a pro on CareerVillage.org. Free career advice from more than 200,000 professionals.

Latest AI news for Maintenance and Repair Worker

These articles highlight the evolving landscape for Maintenance and Repair Workers, emphasizing the resilience of this career in the age of AI. For instance, the piece on aviation maintenance addresses the technician shortage and suggests that AI can enhance efficiency through improved tools and skills development. Additionally, the article on AI's role in maintenance reveals how real-time data analysis can lead to proactive repairs rather than reactive troubleshooting. This indicates that while AI will change workflows, skilled tradespeople will remain essential on-site, blending technology with hands-on expertise.

More Career Info

Career: Maintenance and Repair Workers, General

They fix and maintain machines, equipment, and buildings to keep everything working smoothly and safely.

Employment & Wage Data

Median Wage

$49,590

Jobs (2025)

1,621,800

Growth (2025-35)

+4.2%

Annual Openings

148,700

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

96% ResilienceCore Task

Fabricate or repair counters, benches, partitions, or other wooden structures, such as sheds or outbuildings.

2

96% ResilienceSupplemental

Assemble boilers at installation sites, using tools such as levels, plumb bobs, hammers, torches, or other hand tools.

3

95% ResilienceCore Task

Assemble, install, or repair wiring, electrical or electronic components, pipe systems, plumbing, machinery, or equipment.

4

95% ResilienceCore Task

Paint or repair roofs, windows, doors, floors, woodwork, plaster, drywall, or other parts of building structures.

5

95% ResilienceCore Task

Repair machines, equipment, or structures, using tools such as hammers, hoists, saws, drills, wrenches, or equipment such as precision measuring instruments or electrical or electronic testing devices...

6

94% ResilienceCore Task

Set up and operate machine tools to repair or fabricate machine parts, jigs, fixtures, or tools.

7

94% ResilienceCore Task

Maintain or repair specialized equipment or machinery located in cafeterias, laundries, hospitals, stores, offices, or factories.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

Built with ❤️ by Sandbox Web

The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.