OBSERVED IN REAL USE · Anthropic 2026
2%
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.
27% 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
- Record repairs and maintenance performed
- Record parts or materials used and order or requisition new parts or materials, as necessary
- Enter codes and instructions to program computer-controlled machinery
- Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems
- Study blueprints or manufacturers' manuals to determine correct installation or operation of machinery
WHAT IT STILL CAN’T
- Repair or maintain the operating condition of industrial production or processing machinery or equipment
- Repair or replace broken or malfunctioning components of machinery or equipment
- Clean, lubricate, or adjust parts, equipment, or machinery
- Disassemble machinery or equipment to remove parts and make repairs
- Reassemble equipment after completion of inspections, testing, or repairs
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 27% 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