Electricians
Construction, Maintenance & RepairAI exposure
- Data source: BLSPublished: '26.08
Moderate· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: '26.03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.19
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 87% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 17 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Diagnose malfunctioning systems, apparatus, or components, using test equipment and hand tools to locate the cause of a breakdown and correct the problem.47-2111 | 0.006145.6 |
Direct or train workers to install, maintain, or repair electrical wiring, equipment, or fixtures.47-2111 | 0.003022.3 |
Plan layout and installation of electrical wiring, equipment, or fixtures, based on job specifications and local codes.47-2111 | 0.002216.5 |
Test electrical systems or continuity of circuits in electrical wiring, equipment, or fixtures, using testing devices, such as ohmmeters, voltmeters, or oscilloscopes, to ensure compatibility and safety of system.47-2111 | 0.002115.5 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Perform business management duties, such as maintaining records or files, preparing reports, or ordering supplies or equipment.O*NET Task ID 2885 | 1.0 |
Provide preliminary sketches or cost estimates for materials or services.O*NET Task ID 2892 | 1.0 |
Plan layout and installation of electrical wiring, equipment, or fixtures, based on job specifications and local codes.O*NET Task ID 2880 | 0.5 |
Prepare sketches or follow blueprints to determine the location of wiring or equipment and to ensure conformance to building and safety codes.O*NET Task ID 2882 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page