Mostly Resilient

Last Update: 5/19/2026

AI Resilience Score for Helpers - Inst/Maint/Repair:

53.7%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient helper work in installation, maintenance, and repair is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For helpers in installation, maintenance, and repair, five of seven sources had data. On AI exposure, AI Resilience Model and Microsoft both rated it low, while Will Robots Take My Job rated it medium, a mild disagreement that holds confidence at medium. Strong hands-on contribution lifts the score, but low wages pull economic opportunity down, landing this role at "Mostly Resilient."

AI Resilience Report forHelpers--Installation, Maintenance, and Repair Workers

$38,860 median salary11,800 annual openingsSOC Code: 49-9098.00

Helpers--Installation, Maintenance, and Repair Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.

This career holds up well against AI disruption because the hands-on, real-world nature of the work — crawling into tight spaces, handling tools, and responding to unexpected problems on the job site — is something software simply can't do on its own. AI is stepping in to help with things like scheduling, diagnosing equipment issues, and predicting when machines need repairs, but that just makes the human workers more effective rather than replacing them.

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This role is mostly resilient

This career holds up well against AI disruption because the hands-on, real-world nature of the work — crawling into tight spaces, handling tools, and responding to unexpected problems on the job site — is something software simply can't do on its own. AI is stepping in to help with things like scheduling, diagnosing equipment issues, and predicting when machines need repairs, but that just makes the human workers more effective rather than replacing them.

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Analysis of Current AI Resilience

Helpers - Inst/Maint/Repair

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Helpers - Inst/Maint/Repair jobs?

If you're worried that robots are about to replace helpers on a job site, here's some good news: the work of installation, maintenance, and repair helpers — carrying tools, holding parts, cleaning equipment, checking machines for defects — is mostly being augmented by AI rather than fully automated. The hands-on, in-the-real-world nature of the job is hard for software alone to do. Instead, AI is showing up as digital "helpers" for the people doing the work.

For example, contractors are now using AI-driven platforms for quoting, dispatching, customer communication, demand forecasting, and back-office efficiency, and on job sites prefabrication, BIM, digital quoting, and remote monitoring are shifting from "nice-to-have" to essential. AI-powered predictive maintenance can examine historical data from HVAC, plumbing and electrical systems to identify patterns and predict when maintenance is required [1], which makes the helper-and-technician team more accurate when checking equipment. The major trade group AGC reports that 45 percent of contractors expect robotics and AI will positively impact construction jobs by automating manual, error-prone tasks [2].pdf) — meaning AI handles paperwork or detection, while humans handle wrenches.

Sources

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AI Adoption

How fast is AI adoption growing for Helpers - Inst/Maint/Repair?

Adoption is moving fast on the software side but slowly on the physical side. The U.S. Bureau of Labor Statistics says overall employment in installation, maintenance, and repair occupations is projected to grow faster than the average for all occupations from 2024 to 2034 [3], partly because there simply aren't enough workers — the BLS estimates a shortage of roughly 81,000 electricians a year through 2034, and a McKinsey study estimates 130,000 more trained electricians plus 240,000 construction laborers and 150,000 supervisors will be needed by 2030. That labor crunch pushes companies to adopt AI for scheduling, dispatching, and diagnostics, but it also keeps human helpers in high demand.

The trade group PHCC reports that 2025 was a big year for AI integration in business and field operations, with that momentum continuing into 2026 [4], and NECA is investing in training programs that teach contractors to leverage emerging tools such as BIM, artificial intelligence, and advanced project management software [5]. Physical robots, however, remain expensive and clumsy in messy real-world settings like crawl spaces, attics, and active job sites, so the people skills you bring — problem-solving, dexterity, teamwork, and learning from experienced tradespeople — remain very valuable.

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Will AI replace Helpers - Inst/Maint/Repair?

Will AI replace Helpers - Inst/Maint/Repair?

No. We don't think AI will replace Helpers in Installation, Maintenance, and Repair work, though we do expect the job to change.

Our 53.7% AI Resilience Score reflects a role that holds up well because so much of the work happens in messy, unpredictable real-world settings: crawl spaces, active job sites, equipment rooms. Physical robots are still expensive and clumsy in those environments, so the dexterity, problem-solving, and on-the-spot judgment that helpers bring stay genuinely hard to replicate.

What AI is doing today is mostly back-office and diagnostic work. Predictive maintenance tools analyze historical data from HVAC, plumbing, and electrical systems to flag problems before they happen [1], which makes the helper-and-technician team more accurate, not obsolete. Contractors are also adopting AI for scheduling, dispatching, and quoting [4], freeing helpers to focus on hands-on tasks. The BLS projects installation, maintenance, and repair occupations to grow faster than average through 2034 [3], and trade groups like NECA are investing in training that covers AI tools alongside traditional skills [5].

The honest caveat is that wages and long-term earning flexibility in this role are a real concern. AI may not take your job, but staying current with digital tools will matter more over time.

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Latest AI news for Helpers - Inst/Maint/Repair

These articles highlight how AI can enhance careers for Helpers in Installation, Maintenance, and Repair. For instance, the McKinsey article on airline maintenance illustrates how generative AI can streamline tasks, boosting productivity and addressing labor shortages. Additionally, the Brookings article reassures that AI isn't leading to mass job losses, emphasizing the importance of adaptability. Together, these insights suggest that embracing AI technologies can help students in this field develop resilience and find new opportunities as the industry evolves.

More Career Info

Career: Helpers--Installation, Maintenance, and Repair Workers

They assist skilled workers by carrying tools, holding materials, and cleaning up, helping to fix or install things like machines or equipment.

Employment & Wage Data

Median Wage

$38,860

Jobs (2024)

98,700

Growth (2024-34)

+2.3%

Annual Openings

11,800

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

95% ResilienceCore Task

Hold or supply tools, parts, equipment, and supplies for other workers.

2

94% ResilienceCore Task

Disassemble broken or defective equipment to facilitate repair and reassemble equipment when repairs are complete.

3

94% ResilienceCore Task

Position vehicles, machinery, equipment, physical structures, and other objects for assembly or installation, using hand tools, power tools, and moving equipment.

4

93% ResilienceCore Task

Install or replace machinery, equipment, and new or replacement parts and instruments, using hand or power tools.

5

93% ResilienceCore Task

Assemble and maintain physical structures, using hand or power tools.

6

93% ResilienceSupplemental

Prepare work stations for use by mechanics and repairers.

7

92% ResilienceCore Task

Adjust, connect, or disconnect wiring, piping, tubing, and other parts, using hand 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.

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