Mostly Resilient

Last Update: 6/19/2026

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

51.2%

Median Score

Meaningful human contribution

Med

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. Most agreed that hands-on physical assistance stays hard for AI to replace, though Will Robots Take My Job flagged higher exposure than AI Resilience Model and Microsoft, which kept confidence at medium. Modest hiring and low wage signals held the score to "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 earns a "Mostly Resilient" label because the hands-on, physical nature of the work (crawling into tight spaces, handling tools, and responding to unpredictable real-world conditions) is genuinely difficult for robots or software to replicate right now. AI is stepping in to help with things like scheduling, diagnostics, and predicting when equipment needs repairs, but that actually makes human helpers more effective rather than pushing them out of a job.

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This role is mostly resilient

This career earns a "Mostly Resilient" label because the hands-on, physical nature of the work (crawling into tight spaces, handling tools, and responding to unpredictable real-world conditions) is genuinely difficult for robots or software to replicate right now. AI is stepping in to help with things like scheduling, diagnostics, and predicting when equipment needs repairs, but that actually makes human helpers more effective rather than pushing them out of a job.

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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--Installation, Maintenance, and Repair Workers, though we do expect the job to change.

Our 51.2% AI Resilience Score reflects a real truth about this work: crawling through attics, holding parts in tight spaces, and learning hands-on from experienced tradespeople are things software simply cannot do yet. Physical robots remain expensive and clumsy in messy real-world environments, so the dexterity and problem-solving helpers bring stay genuinely valuable.

What AI is doing is handling the paperwork and prediction side of the trade. AI-powered tools are already forecasting when HVAC, plumbing, and electrical systems need maintenance [1], and platforms for scheduling, dispatching, and quoting are becoming standard on job sites [4]. That makes helper-and-technician teams more efficient, but it does not replace them. Trade groups like NECA are actively training contractors to use tools like BIM and AI alongside their workforce, not instead of it [5].

The economic picture is more mixed. Employer demand looks moderate, and wages for this role face some pressure over time. Still, the BLS projects installation, maintenance, and repair occupations to grow faster than average through 2034 [3], and a documented labor shortage keeps human helpers in demand. Learning the digital tools early puts you ahead.

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Latest AI news for Helpers - Inst/Maint/Repair

These articles highlight the evolving role of AI in the installation, maintenance, and repair sectors, emphasizing the importance of skill adaptation. For instance, the McKinsey piece on airline maintenance illustrates how generative AI can streamline operations, benefiting repair workers. Meanwhile, the BLS report warns about job displacement due to automation but encourages resilience through upskilling. By embracing AI training, students can enhance their employability and thrive in a tech-enhanced workforce, turning potential challenges into opportunities for growth.

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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