Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Maintenance and Repair Worker:
63.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forMaintenance and Repair Workers, General
$49,590 median salary•159,800 annual openings•SOC 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 work is labeled "Mostly Resilient" because the physical, hands-on parts of the job (climbing into mechanical rooms, dismantling equipment, welding, and diagnosing problems on the spot) still require human skill and judgment that AI simply cannot replicate. AI tools are changing the paperwork and planning side of things, helping with scheduling, work orders, and predicting when equipment might fail, but those tools are meant to support technicians, not replace them.
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Maintenance and repair work is labeled "Mostly Resilient" because the physical, hands-on parts of the job (climbing into mechanical rooms, dismantling equipment, welding, and diagnosing problems on the spot) still require human skill and judgment that AI simply cannot replicate. AI tools are changing the paperwork and planning side of things, helping with scheduling, work orders, and predicting when equipment might fail, but those tools are meant to support technicians, not replace them.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Maintenance and Repair Worker
Updated Quarterly
How is AI changing Maintenance and Repair Worker jobs?
If you're worried that robots are about to take over building maintenance, take a breath — the picture in 2026 looks much more like teamwork than replacement. The Building Service Contractors Association International argues that AI isn't here to take the place of the people who clean buildings, care for spaces, and show up night after night — it's here to support an industry under real pressure that needs better tools, clearer insight, and more humane systems, an idea echoed at the 2025 BSCAI Contracting Success Conference [1]. Most current AI tools focus on the paperwork and planning parts of the job rather than the wrench-turning.
At the Mechanical Contractors Association of America's 2026 MEP Innovation Conference [2], breakout sessions focused on connecting field and fabrication data, and applying AI to automate routine tasks such as estimating, document review, and reporting. Predictive-maintenance software, AI-powered CMMS platforms, and augmented-reality headsets are increasingly used to flag failing motors and walk technicians through repair steps, and Plant Services' top stories for early 2026 [3] revolved around digital maintenance transformation and asset health. But hands-on tasks — dismantling machines, welding, climbing into mechanical rooms — still require humans, which is why Manufacturing Dive reports [4] that traditional assembly roles are declining while demand is growing for technicians who can work with robotics, maintain advanced equipment and use data to keep production running smoothly.
Sources
How fast is AI adoption growing for Maintenance and Repair Worker?
Adoption is moving faster on the "office" side of maintenance (work orders, scheduling, parts ordering, diagnostics) and slower on the physical side. A huge driver is the labor shortage: one BSCAI panelist warned that "we're not going to have enough workers to do the job in the next 20 years. AI is the least of our problems.
It's a resource we're going to need". The U.S. Bureau of Labor Statistics [5] still projects employment of general maintenance and repair workers to grow 4 percent from 2024 to 2034, about as fast as the average for all occupations, with about 159,800 openings projected each year — meaning demand for human technicians remains strong. Costs and trust are slowing things down: BSCAI leaders caution "Don't trust it.
Trust but verify… at least 50% of what we get back is not entirely true", and many small contractors can't afford big sensor rollouts. The World Economic Forum's Future of Jobs Report [6] notes that employers expect 39% of key skills required in the job market will change by 2030, so the smartest move for young people entering this field is learning to read sensor data, use AI work-order tools, and keep the diagnostic skills that machines still can't replicate.
Sources
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.
Our 63.4% AI Resilience Score reflects a field where the physical, hands-on core of the work remains stubbornly human. Climbing into mechanical rooms, welding, dismantling equipment: these tasks still require a person on site. AI is making real inroads on the paperwork side, handling work orders, scheduling, diagnostics, and predictive maintenance alerts [3]. But that mostly frees technicians to focus on the actual repairs rather than threatening their jobs.
Demand backs this up. The Bureau of Labor Statistics projects employment in this field to grow 4 percent through 2034, with roughly 159,800 openings expected each year [5]. A genuine labor shortage is pushing employers toward AI as a support tool, not a replacement. One industry leader put it plainly: AI is a resource the field is going to need, not a threat to the workforce [1].
The honest caveat is on the economic side. Wages and career flexibility in this field score lower, so the financial ceiling is real. The smartest move for anyone entering this work is learning to use AI tools, read sensor data, and stay current with digital maintenance systems [6]. That combination of physical skill and tech fluency is what keeps this career resilient.
Sources
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Latest AI news for Maintenance and Repair Worker
These articles highlight the evolving landscape for Maintenance and Repair Workers in the age of AI. By investing in AI skills, as discussed in the McKinsey article, workers can significantly enhance their value in the workplace, ensuring they remain indispensable. The MSN piece emphasizes that many hands-on roles, like maintenance, will continue to require human expertise, as machines often can't replicate skilled labor affordably. Moreover, the BCG article points out the urgent need for trained workers in materials processing, signaling strong job security for those who adapt and upskill in AI technologies.
Think AI will take your job? These workers are still too expensive to replace
www.msn.com • 7/17/2026
The study found that many hands-on jobs still require skills that robots cannot match at an affordable cost, even as AI becomes more capable.
How a mom-and-pop car wash chain went from sticky notes to AI-powered operations that are upleveling every part of the company
fortune.com • 5/18/2026
It's kind of become the backbone of operations in general for what we do,” said Autowash cofounder and chief of staff Erin Dreeszen.
A US productivity unlock: Investing in frontline workers’ AI skills
www.mckinsey.com • 1/15/2026
Tech investments fail without skilled workers. Explore why investing in frontline worker capabilities is essential for AI success.
The Maintenance Talent Crunch in Materials Processing
www.bcg.com • 11/11/2025
Materials processing companies are struggling to hire and retain the workers who keep their machinery running. A severe and accelerating...
Here's what job sectors are most and least at risk from AI
www.abc.net.au • 8/31/2025
Artificial intelligence is predicted to influence many sectors of work, and it is no longer a question of if, but how.
More Career Info
Career: Maintenance and Repair Workers, General
They fix and maintain machines, equipment, and buildings to keep everything working smoothly and safely.
Parent Careers
Employment & Wage Data
Median Wage
$49,590
Jobs (2024)
1,629,700
Growth (2024-34)
+3.8%
Annual Openings
159,800
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Operate cutting torches or welding equipment to cut or join metal parts.
2
Lay brick to repair or maintain buildings, walls, arches, or other structures.
3
Grind and reseat valves, using valve-grinding machines.
4
Install equipment to improve the energy or operational efficiency of residential or commercial buildings.
5
Assemble, install, or repair wiring, electrical or electronic components, pipe systems, plumbing, machinery, or equipment.
6
Paint or repair roofs, windows, doors, floors, woodwork, plaster, drywall, or other parts of building structures.
7
Dismantle machines, equipment, or devices to access and remove defective parts, using hoists, cranes, hand tools, or power tools.
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.
