Mostly Resilient
Last Update: 11/4/2026
AI Resilience Score for Maintenance and Repair Worker:
57.4%
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.
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
AI Resilience Report forMaintenance and Repair Workers, General
$49,590 median salary•148,700 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 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
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 analysisAnalysis of current AI resilience
Maintenance and Repair Worker
Updated quarterly
How can Maintenance and Repair Worker prepare for AI?
Latest AI news for Maintenance and Repair Worker
These articles highlight the growing importance of AI skills for Maintenance and Repair Workers. For instance, the McKinsey article emphasizes that investing in AI training for frontline workers is crucial for successful tech adoption. Additionally, the piece on predictive maintenance shows how AI can forecast equipment failures, potentially reducing maintenance costs by up to 25%. By understanding and adapting to these AI advancements, students can build resilience in their careers, ensuring they remain valuable in an evolving job market.
The Evolution of AI in Maintenance: From Expert Systems ...
maintenanceworld.com • 10/20/2026
Aug 6, 2024 — This article talks about new systems teams have to adapt to, and how AI is making a mark in the maintenance and reliability world.
Anthropic just released data on AI's impact by occupation. ...
www.facebook.com • 10/20/2026
AI can predict failures before they happen — scheduling repairs. Predictive maintenance alone can cut maintenance costs by up to 25%. Companies ...
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.
Agents, robots, and us: Skill partnerships in the age of AI
www.mckinsey.com • 11/25/2025
Learn how AI is transforming work, focusing on the collaboration between humans, agents, and robots.
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.
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
Alternate Titles
Facilities Technician · Maintenance Engineer · Maintenance Mechanic · Maintenance Technician · Building Mechanic · Equipment Engineering Technician · Maintenance Journeyman · Maintenance Man · Maintenance Specialist · Maintenance Worker
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
Fabricate or repair counters, benches, partitions, or other wooden structures, such as sheds or outbuildings.
2
Assemble boilers at installation sites, using tools such as levels, plumb bobs, hammers, torches, or other hand tools.
3
Assemble, install, or repair wiring, electrical or electronic components, pipe systems, plumbing, machinery, or equipment.
4
Paint or repair roofs, windows, doors, floors, woodwork, plaster, drywall, or other parts of building structures.
5
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
Set up and operate machine tools to repair or fabricate machine parts, jigs, fixtures, or tools.
7
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.
