Will AI replace Electrical and Electronics Repairers, Commercial and Industrial Equipment?
Most of the work in Electrical and Electronics Repairers, Commercial and Industrial Equipment still leans on things AI struggles with — research rates its theoretical AI reach at only ~31%, and real-world use lower still.
O*NET-SOC 49-2094
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~31%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~31%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- Maintain equipment logs that record performance problems, repairs, calibrations, or tests.
- Enter information into computer to copy program or to draw, modify, or store schematics, applying knowledge of software package used.
- Develop or modify industrial electronic devices, circuits, or equipment, according to available specifications.
- Consult with customers, supervisors, or engineers to plan layout of equipment or to resolve problems in system operation or maintenance.
- Maintain inventory of spare parts.
- Study blueprints, schematics, manuals, or other specifications to determine installation procedures.
- Determine feasibility of using standardized equipment or develop specifications for equipment required to perform additional functions.
- Advise management regarding customer satisfaction, product performance, or suggestions for product improvements.
- Test faulty equipment to diagnose malfunctions, using test equipment or software, and applying knowledge of the functional operation of electronic units and systems.
- Set up and test industrial equipment to ensure that it functions properly.
- Inspect components of industrial equipment for accurate assembly and installation or for defects, such as loose connections or frayed wires.
- Install repaired equipment in various settings, such as industrial or military establishments.
- Operate equipment to demonstrate proper use or to analyze malfunctions.
- Perform scheduled preventive maintenance tasks, such as checking, cleaning, or repairing equipment, to detect and prevent problems.
- Calibrate testing instruments and installed or repaired equipment to prescribed specifications.
- Repair or adjust equipment, machines, or defective components, replacing worn parts, such as gaskets or seals in watertight electrical equipment.
- Examine work orders and converse with equipment operators to detect equipment problems and to ascertain whether mechanical or human errors contributed to the problems.
- Coordinate efforts with other workers involved in installing or maintaining equipment or components.
- Send defective units to the manufacturer or to a specialized repair shop for repair.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.