Will AI replace Electronic Equipment Installers and Repairers, Motor Vehicles?
Most of the work in Electronic Equipment Installers and Repairers, Motor Vehicles still leans on things AI struggles with — research rates its theoretical AI reach at only ~17%, and real-world use lower still.
O*NET-SOC 49-2096
How your 12 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 (~17%). 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 (~17%), 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 12 tasks, ratedBased on real task-level AI scores — click to collapse
- Record results of diagnostic tests.
- Estimate costs of repairs, based on parts and labor charges.
- No tasks in this middle tier.
- Install equipment and accessories, such as stereos, navigation equipment, communication equipment, and security systems.
- Inspect and test electrical or electronic systems to locate and diagnose malfunctions, using visual inspections and testing instruments, such as oscilloscopes and voltmeters.
- Cut openings and drill holes for fixtures and equipment, using electric drills and routers.
- Splice wires with knives or cutting pliers, and solder connections to fixtures and equipment.
- Diagnose or repair problems with electronic equipment, such as sound, navigation, communication, and security equipment, in motor vehicles.
- Run new speaker and electrical cables.
- Confer with customers to determine the nature of malfunctions.
- Remove seats, carpeting, and interiors of doors and add sound-absorbing material in empty spaces, reinstalling interior parts.
- Replace and clean electrical or electronic components.
- Build fiberglass or wooden enclosures for sound components, and fit them to automobile dimensions.
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.