OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Mostly fireproof. AI hands you the paperwork and steps back.
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
- Compute cost estimates for labor and materials
- Keep records of work orders and test and maintenance reports
- Read and interpret electronic circuit diagrams, function block diagrams, specifications, engineering drawings, and service manuals
WHAT IT STILL CAN’T
- Disassemble entertainment equipment and repair or replace loose, worn, or defective components and wiring, using hand tools and soldering irons
- Install, service, and repair electronic equipment or instruments such as televisions, radios, and videocassette recorders
- Calibrate and test equipment, and locate circuit and component faults, using hand and power tools and measuring and testing instruments such as resistance meters and oscilloscopes
- Tune or adjust equipment and instruments to obtain optimum visual or auditory reception, according to specifications, manuals, and drawings
- Instruct customers on the safe and proper use of equipment
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