Mostly Resilient
Last Update: 5/19/2026
AI Resilience Score for Installation & Repair Worker:
57.1%
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%).
Med
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.
Contributing sources
AI Resilience Report forInstallation, Maintenance, and Repair Workers, All Other
$48,640 median salary•21,500 annual openings•SOC Code: 49-9099.00
Installation, Maintenance, and Repair Workers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career earns a "Mostly Resilient" label because the hands-on physical work — stitching torn fabric, setting grommets, climbing ladders to fix awnings, and diagnosing worn parts on-site — still requires human hands, eyes, and judgment that robots simply can't replicate at scale yet. AI is stepping in to handle the less exciting stuff, like scheduling, routing, and spotting defects through cameras, which actually frees you up to focus on the skilled work that matters most.
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This career earns a "Mostly Resilient" label because the hands-on physical work — stitching torn fabric, setting grommets, climbing ladders to fix awnings, and diagnosing worn parts on-site — still requires human hands, eyes, and judgment that robots simply can't replicate at scale yet. AI is stepping in to handle the less exciting stuff, like scheduling, routing, and spotting defects through cameras, which actually frees you up to focus on the skilled work that matters most.
Read full analysisAnalysis of Current AI Resilience
Installation & Repair Worker
Updated Quarterly
How is AI changing Installation & Repair Worker jobs?
If your job is "Installation, Maintenance, and Repair Workers, All Other" — a catch-all group that includes people who patch canvas tarps, restitch torn covers, set grommets, and fix small mechanical items — the good news is that today's AI mostly helps you rather than replaces you. Most current AI tools target the paperwork and diagnostic side of the job, not the hands-on physical work. IBM notes that AI in field service management is primarily used to facilitate predictive maintenance, optimize scheduling and routing, automate data-driven processes and empower the workforce, and that AI tools can conduct predictive analytics on Internet of Things (IoT) sensor data to identify patterns that indicate an increased probability of equipment failure [1].
For the actual repair work, AI shows up as an "assistant." TSIA's State of Field Services 2026 [2] reports that 71.4% of field services organizations are investing in AI-guided troubleshooting, and 67.9% are implementing AI-powered chatbots and virtual assistants, and that voice-controlled AI agents provide hands-free access to work orders, troubleshooting guides, and real-time expert support while technicians are on-site. For the fabric-repair tasks specifically, research like this 2025 deep-learning study [3] shows AI cameras can already spot defects such as holes, color bleeding and creases — but that's inspection, not the actual stitching, hemming, or grommet-setting, which still needs human hands.
How fast is AI adoption growing for Installation & Repair Worker?
Adoption will likely be uneven and gradual in this catch-all field. On the "faster" side, labor shortages are a huge push: the Facilitiesnet/Maintenance Solutions [4] review of NFPA's 2026 trades report found that over half (53 percent) of skilled trade professionals say a shortage of qualified candidates will be the biggest roadblock in 2026, and that 38 percent of respondents believe AI will reduce mundane tasks in 2026, while 68 percent of survey respondents indicated AI and technology advancements will have a tangible impact on their work in 2026. The World Economic Forum's 2026 outlook [5] similarly stresses that deploying it successfully requires intentional adoption and a pragmatic approach because industrial settings demand safety and reliability.
On the "slower" side, the physical, varied, on-site nature of this work is hard to automate cheaply — robots that can climb a ladder to mend a torn awning or feel a worn seam don't exist at scale. Brookings' February 2026 analysis [6] found that highly AI-exposed, low-adaptive-capacity workers are concentrated in clerical and administrative roles, not hands-on trades. The takeaway for a young person eyeing this career: AI will probably take over the boring paperwork, scheduling, and inspection scans, while your eyes, hands, judgment, and problem-solving stay genuinely valuable for years to come.
Sources
Will AI replace Installation & Repair Worker?
No. We don't think AI will replace Installation, Maintenance, and Repair Workers, All Other, though we do expect the job to change.
Our 57.1% AI Resilience Score puts this career in "Mostly Resilient" territory, and that tracks with what we actually see happening. AI is moving into the administrative and diagnostic side of this work, handling scheduling, routing, and predictive analytics on equipment data [1]. That is genuinely useful, but it is not the job itself. The actual hands-on work, stitching canvas, setting grommets, climbing to fix a torn awning, feeling a worn seam, still needs human judgment and physical skill that robots cannot replicate cheaply or reliably at scale.
The broader trades picture backs this up. Over half of skilled trade professionals say a shortage of qualified candidates is the biggest challenge right now [4], which means employers need people, not fewer of them. Brookings research also found that highly AI-exposed, low-adaptive-capacity workers tend to cluster in clerical roles, not hands-on trades [6].
The honest caveat is that wages and long-term economic flexibility are areas to watch. But if you are drawn to physical, problem-solving work, this field gives you real staying power. Learning the AI tools coming into your workflow will only make you more valuable, not less.
Sources
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Latest AI news for Installation & Repair Worker
These articles highlight the evolving landscape for Installation, Maintenance, and Repair Workers amidst AI advancements. The Forbes piece emphasizes that hands-on jobs remain secure due to their reliance on human skills and creativity, suggesting a resilience in this career path. Meanwhile, the ThomasNet article illustrates how AI, through predictive maintenance, enhances efficiency and reduces costs, presenting opportunities for workers to leverage new technologies in their roles. Embracing AI can lead to improved job performance and adaptability in a changing work environment.
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.
Many Jobs May Become Obsolete Due to AI—Who’s Most at Risk?
www.newsweek.com • 3/13/2026
A new report from artificial intelligence (AI) giant Anthropic has taken a closer look at which jobs were most at risk due to the rise of AI...
From Waste Reduction to Predictive Maintenance: AI’s Impact on Machinists
www.thomasnet.com • 12/10/2025
Artificial intelligence is changing the machining industry by boosting precision, lowering costs through predictive maintenance and waste...
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.
The Resilience Of Hands-On And Experience-Based Jobs In The Age Of AI
www.forbes.com • 2/2/2025
AI is reshaping industries, but hands-on and experience-based jobs remain secure. Discover careers that thrive on human skill, creativity,...
More Career Info
Career: Installation, Maintenance, and Repair Workers, All Other
They fix and set up various equipment and systems, ensuring everything works correctly and safely in different settings.
Parent Careers
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Employment & Wage Data
Median Wage
$48,640
Jobs (2024)
221,200
Growth (2024-34)
+2.4%
Annual Openings
21,500
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
Re-knit runs and replace broken threads, using latch needles.
2
Sew fringe, tassels, and ruffles onto drapes and curtains, and buttons and trimming onto garments.
3
Pull knots to the wrong sides of garments, using hooks.
4
Check repaired and repacked survival equipment to ensure that it meets specifications.
5
Replace defective shrouds, and splice connections between shrouds and harnesses, using hand tools.
6
Patch holes, sew tears and ripped seams, or darn defects in items, using needles and thread or sewing machines.
7
Operate sewing machines to restitch defective seams, sew up holes, or replace components of fabric articles.
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.
