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.
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 instrument readings and operational changes in operating logs
- Submit daily reports on facility operations
- Read gas meters, and maintain records of the amounts of gas received and dispensed from holders
- Take samples of gases and conduct chemical tests to determine gas quality and sulfur or moisture content, or send samples to laboratories for analysis
WHAT IT STILL CAN’T
- Monitor meters and pressure gauges to determine consumption rate variations, temperatures, and pressures
- Respond to problems by adjusting control room equipment or instructing other personnel to adjust equipment at problem locations or in other control areas
- Adjust valves and equipment to obtain specified performance
- Move controls and turn valves to start compressor engines, pumps, and auxiliary equipment
- Operate power-driven pumps that transfer liquids, semi-liquids, gases, or powdered materials
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