Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Maintenance and Repair Worker:
60.9%
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
$48,620 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 6 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.
Learn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
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.
Read full analysisAnalysis 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 60.9% 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, and troubleshooting on the fly are tasks that robots and software still can't replicate reliably. AI is making real inroads on the paperwork side, things like scheduling, estimating, work orders, and predictive diagnostics, but those changes free up technicians rather than replace them (mcaa.org, plantservices.com).
Demand for human workers is holding up well. The Bureau of Labor Statistics projects employment in this role to grow 4 percent through 2034, with roughly 159,800 openings expected each year [5]. One industry voice at a major contractor conference put it plainly: the bigger threat isn't automation, it's not having enough workers to meet demand [1].
The honest caveat is on the economic side. Wages and career flexibility for this role score lower in our model, so the financial ceiling is a real consideration. The smartest path forward is building skills around the tools AI is bringing in, reading sensor data, using AI-powered maintenance platforms, and staying sharp on the diagnostics that machines still get wrong [6].
Sources

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Latest AI news for Maintenance and Repair Worker
These articles highlight how AI is transforming the landscape for Maintenance and Repair Workers. For instance, the Caterpillar AI Assistant enhances heavy equipment management by streamlining maintenance tasks, allowing workers to focus on more complex repairs. Additionally, the BLS article discusses how AI is creating new roles even as it automates some tasks, emphasizing the importance of adaptability. Understanding these trends can help students prepare for a future where AI complements their skills, ensuring resilience in their careers.

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 • 5/20/2026
It's kind of become the backbone of operations in general for what we do,” said Autowash cofounder and chief of staff Erin Dreeszen.

Caterpillar AI Assistant Revolutionises Heavy Equipment Management
discoveryalert.com.au • 1/7/2026
Discover how Caterpillar AI Assistant revolutionizes equipment management with conversational interfaces and predictive maintenance.

New study sheds light on what kinds of workers are losing jobs to AI
www.cbsnews.com • 8/28/2025
Stanford University research offers insights for students and young workers as artificial intelligence begins to reshape the labor market.

Incorporating AI impacts in BLS employment projections: occupational case studies
www.bls.gov • 2/10/2025
In the last few years, artificial intelligence (AI) has advanced rapidly, finding growing applications across industries and occupations.

AI in Manufacturing: Benefits and 15 Use Cases
www.netsuite.com • 5/21/2024
Artificial intelligence is reshaping the manufacturing industry. Learn how manufacturers are using AI to increase productivity,...
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
$48,620
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.
