GistGarden

Will AI replace Electrical and Electronics Repairers, Powerhouse, Substation, and Relay?

Most of the work in Electrical and Electronics Repairers, Powerhouse, Substation, and Relay still leans on things AI struggles with — research rates its theoretical AI reach at only ~34%, and real-world use lower still.

The Human Moat Work that's hard for AI to cross — for now.

O*NET-SOC 49-2095

How your 9 core tasks split

56% within AI's reach
3 AI can do this now
2 AI speeds this up
4 Still on you
AI could do · GPT-4 study
34%
34-pt gap
AI actually does · 2026 report
0%

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.

⚡ The short answer

Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~34%). 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

Being automatedTicking (can, but unused)Relatively safeQuietly happeningYOU0%50%100%0%40%75% → How much AI could do (theory) → How much AI is actually used (late 2025)

Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.

Lowconfidence

Don't trust a single AI-risk score here

For this job, the signals disagree sharply. AI's theoretical reach looks relatively low (~34%), but real-world use is only ~0%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.

See all 9 tasks, ratedBased on real task-level AI scores — click to collapse
AI can already do this3 of 9
  • Prepare and maintain records detailing tests, repairs, and maintenance.
  • Consult manuals, schematics, wiring diagrams, and engineering personnel to troubleshoot and solve equipment problems and to determine optimum equipment functioning.
  • Run signal quality and connectivity tests for individual cables, and record results.
AI speeds this up2 of 9
  • Analyze test data to diagnose malfunctions, to determine performance characteristics of systems, or to evaluate effects of system modifications.
  • Maintain inventories of spare parts for all equipment, requisitioning parts as necessary.
Still on you4 of 9
  • Inspect and test equipment and circuits to identify malfunctions or defects, using wiring diagrams and testing devices such as ohmmeters, voltmeters, or ammeters.
  • Open and close switches to isolate defective relays, performing adjustments or repairs.
  • Notify facility personnel of equipment shutdowns.
  • Repair, replace, and clean equipment and components such as circuit breakers, brushes, and commutators.

My job is a Human Moat 😌

Turns out being human is still the hard part to copy.

Theoretical estimate · not a prediction · gistgarden.com

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.