OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
24% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Maintain equipment service records
- Confer with customers to determine the nature of malfunctions
- Estimate costs of repairs based on parts and labor requirements
- Refer to schematics and manufacturers' specifications that show connections and provide instructions on how to locate problems
- Inspect and test electrical systems and equipment to locate and diagnose malfunctions, using visual inspections, testing devices, and computer software
WHAT IT STILL CAN’T
- Reassemble and test equipment after repairs
- Adjust, repair, or replace defective wiring and relays in ignition, lighting, air-conditioning, and safety control systems, using electrician's tools
- Splice wires with knives or cutting pliers, and solder connections to fixtures, outlets, and equipment
- Locate and remove or repair circuit defects such as blown fuses or malfunctioning transistors
- Install fixtures, outlets, terminal boards, switches, and wall boxes, using hand tools
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 24% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16