Somewhat Resilient
Last Update: 7/31/2026
AI Resilience Score for Electrical & Electronic Repair:
47.4%
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%).
Low
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%).
Med
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 forElectrical and Electronics Repairers, Commercial and Industrial Equipment
$74,090 median salary•4,700 annual openings•SOC Code: 49-2094.00
Electrical and Electronics Repairers, Commercial and Industrial Equipment are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career lands at "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it is not eliminating the job entirely. Predictive maintenance software can now handle 40 to 60 percent of routine tasks like scheduling, parts ordering, and even diagnosing problems before a technician arrives, so the day-to-day workflow is shifting in real ways.
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This career lands at "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it is not eliminating the job entirely. Predictive maintenance software can now handle 40 to 60 percent of routine tasks like scheduling, parts ordering, and even diagnosing problems before a technician arrives, so the day-to-day workflow is shifting in real ways.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Electrical & Electronic Repair
Updated Quarterly
How is AI changing Electrical & Electronic Repair jobs?
Right now, AI is mostly augmenting the work of commercial and industrial equipment repairers rather than fully replacing it. The big shift is "predictive maintenance" — AI software that watches sensor data from factory machines and warns technicians before a part breaks. By 2026, leading manufacturers are expected to automate 40 to 60 percent of routine maintenance tasks end-to-end, powered by AI systems that handle scheduling, spare parts management, and technician dispatch autonomously, according to an analysis published in The AI Journal [1].
But that doesn't mean the technician disappears. As Plant Engineering explains [2], an AI agent might comb through historical data, predict a malfunction, open a work order, and even suggest a cause — yet "the employee will still need to inspect the asset, verify the malfunction and approve the suggested cause." Newer AI agents can also walk a technician through repair steps for a specific make and model, acting like a smart digital coworker. Deloitte's 2026 report, summarized in Manufacturing Dive [3], found that AI agents can reason, plan and act with autonomy, perform routine activities that reduce cycle times and free up humans for other strategic tasks.
The hands-on tasks with the lowest automation scores on your list — operating equipment, calibrating instruments, and judging whether standardized gear will work — are exactly the ones where physical skill, judgment, and on-site problem-solving still need a human.
Sources
How fast is AI adoption growing for Electrical & Electronic Repair?
Adoption is moving fast on the software side but slower on the wrench-turning side, and that's good news for technicians. A massive labor shortage is pushing companies to use AI to help — not replace — workers. Fortune reports [4] that demand for robotics technicians has jumped 107%, HVAC engineers increased 67%, and construction roles grew by 30% since late 2022, and in manufacturing for every 100 young people entering the sector, 102 leave.
McKinsey's late-2025 report Agents, Robots, and Us [5] similarly frames AI as a skill partnership with workers rather than a wholesale replacement, especially in jobs that require physical dexterity. On the cost side, predictive maintenance software is already commercially affordable and pays for itself by avoiding expensive unplanned downtime, which is why Plant Engineering describes it as a business imperative for success in asset intensive industries. The slower-moving factor is the long-term outlook for this specific role: the U.S. Bureau of Labor Statistics [6] projects 0% employment change from 2024 to 2034, noting that the automation and digital transformation of industrial control systems are expected to overtake the need for hard-wired electronics, which may limit the need for electrical and electronics repairers of commercial and industrial equipment.
The bottom line: workers who learn to use AI dashboards, sensors, and digital twins alongside their traditional repair skills will be in the strongest position — the technician of 2026 is becoming a tech-savvy problem-solver, not an endangered species.
Sources
Will AI replace Electrical & Electronic Repair?
Not entirely. We think AI will take over some tasks, but not the whole job.
AI is already reshaping how this work gets done. Predictive maintenance software watches sensor data and flags problems before they happen, and by 2026 leading manufacturers are expected to automate 40 to 60 percent of routine maintenance tasks end-to-end [1]. AI agents can now open work orders, suggest causes, and walk technicians through repair steps. That is real, meaningful change to the daily workflow.
But the hands-on core of this job still needs a human. As Plant Engineering explains, even when an AI predicts a malfunction and suggests a cause, a technician still has to inspect the asset, verify the problem, and approve the fix [2]. Physical dexterity, on-site judgment, and calibrating equipment in unpredictable environments are exactly where AI falls short. McKinsey frames this kind of work as a skill partnership, not a replacement [5].
The long-term demand picture is the honest concern here. Our 47.4% AI Resilience Score reflects real risk, and the BLS projects 0% employment growth for this role through 2034, citing digital transformation of industrial control systems [6]. Technicians who learn to work alongside AI dashboards and sensors will hold the strongest position, but the overall field is not growing, and that matters for anyone planning a career here.
Sources
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Latest AI news for Electrical & Electronic Repair
The recommended articles highlight the evolving landscape for Electrical and Electronics Repairers in commercial and industrial equipment. For instance, the piece on silicon photonics underscores the need for technicians to adapt to cutting-edge technologies that enhance AI computing. Similarly, the discussion on AI and robotics in factories emphasizes how these advancements can prevent equipment breakdowns, suggesting a growing demand for skilled repairers who can maintain complex systems. By embracing these innovations, students can position themselves as vital contributors in an AI-driven economy, ensuring their careers remain resilient and relevant.
ITI Technical College Highlights AI-Resistant Careers Built on Skilled Technical Work
www.indystar.com • 7/6/2026
ITI Technical College highlights how skilled trades and technical careers remain essential—and automation-resistant—in an AI-driven economy.
Silicon Photonics: The Lightspeed Revolution That Will Transform AI Computing
newsroom.lamresearch.com • 1/15/2026
Lam Research is setting the agenda for the wafer fabrication equipment industry's approach to a silicon photonics revolution, driving the...
The rise of edge AI in automotive
www.mckinsey.com • 8/25/2025
AI is already talking to your car. Now automakers must decide how to harness its full potential while balancing latency, privacy, and cost.
How AI and robotics can help prevent breakdowns in factories — and save manufacturers big bucks
www.businessinsider.com • 5/13/2025
Equipment failures have long haunted manufacturers — and they come at a staggering price. A 2024 Siemens report estimated that unplanned...
Powering AI: The Energy Workforce Crisis No One Is Talking About
www.aei.org • 2/27/2025
AI is an energy-intensive industry and data centers are rapidly becoming massive energy consumers, with power demands rivaling those of entire states.
More Career Info
Career: Electrical and Electronics Repairers, Commercial and Industrial Equipment
They fix and maintain machines and equipment used in factories by diagnosing problems and making sure everything works correctly.
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Employment & Wage Data
Median Wage
$74,090
Jobs (2024)
61,100
Growth (2024-34)
-0.8%
Annual Openings
4,700
Education
Postsecondary nondegree award
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
Determine feasibility of using standardized equipment or develop specifications for equipment required to perform additional functions.
2
Calibrate testing instruments and installed or repaired equipment to prescribed specifications.
3
Operate equipment to demonstrate proper use or to analyze malfunctions.
4
Set up and test industrial equipment to ensure that it functions properly.
5
Perform scheduled preventive maintenance tasks, such as checking, cleaning, or repairing equipment, to detect and prevent problems.
6
Sign overhaul documents for equipment replaced or repaired.
7
Advise management regarding customer satisfaction, product performance, or suggestions for product improvements.
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.
