Mostly Resilient
Last Update: 6/19/2026
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 holds up well against AI because the core work, things like stitching torn covers, setting grommets, climbing ladders to fix awnings, and diagnosing worn parts on-site, requires human hands, eyes, and judgment that robots simply cannot replicate at scale right now. AI is stepping in to handle the less exciting parts of the job, like scheduling, paperwork, predictive maintenance alerts, and spotting defects with cameras, which actually frees you up to focus on the skilled physical work you were hired to do.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
This career holds up well against AI because the core work, things like stitching torn covers, setting grommets, climbing ladders to fix awnings, and diagnosing worn parts on-site, requires human hands, eyes, and judgment that robots simply cannot replicate at scale right now. AI is stepping in to handle the less exciting parts of the job, like scheduling, paperwork, predictive maintenance alerts, and spotting defects with cameras, which actually frees you up to focus on the skilled physical work you were hired to do.
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.
We gave this career a 57.1% AI Resilience Score, which puts it in a stronger position than many occupations. The reason is straightforward: most of this work is physical, on-site, and unpredictable. AI cameras can already spot fabric defects like holes and creases [3], and AI tools are being used for predictive maintenance and scheduling [1]. But none of that replaces the person climbing a ladder to actually mend a torn awning or reset a grommet. Those hands-on tasks still need human judgment and dexterity.
The bigger shift is that AI will absorb the tedious parts of the job. Over two-thirds of field service organizations are already investing in AI-guided troubleshooting and virtual assistants that give technicians hands-free access to work orders and repair guides [2]. That frees workers up for the harder problems, not out of a job.
The economic picture is more mixed. Wages and adaptability scores are on the lower end, so this is not a path to easy advancement without some deliberate skill-building. Still, labor shortages are real, with over half of skilled trade professionals citing a lack of qualified candidates as their top challenge [4]. That pressure works in your favor.
Sources
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Latest AI news for Installation & Repair Worker
These articles provide valuable insights for students pursuing careers in installation, maintenance, and repair. They highlight that while some jobs may be at risk from AI, roles that require hands-on skills and critical thinking, like those in this field, are likely to adapt rather than disappear. For instance, the Microsoft piece emphasizes how AI can enhance field service operations, improving efficiency and service quality. Understanding these trends can empower students to embrace AI tools, ensuring they remain relevant and resilient in a changing job landscape.
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...
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.
Will AI Replace Jobs?
www.salesforce.com • 8/3/2025
With the rise of artificial intelligence (AI) in the workplace, people are concerned about losing their jobs to AI. Some wonder if it's going to take over...
59 AI Job Statistics: Future of U.S. Jobs
www.nu.edu • 5/30/2025
Discover how artificial intelligence is transforming the U.S. job market with 59 key AI job statistics covering automation risks and more.
Harnessing transformative AI for field service excellence
www.microsoft.com • 9/26/2024
As the business landscape rapidly evolves, integrating AI solutions into field service operations isn't just a trend—it's a necessity.
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
Similar Careers
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.
