◀ scan anotherSEPARATING, FILTERING, CLARIFYING, PRECIPITATING, AND STILL MACHINE SETTERS, OPERATORS, AND TENDERSshare ⧉ EXPOSURE TO AI
14%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
14% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Communicate processing instructions to other workers
- Maintain logs of instrument readings, test results, or shift production for entry in computer databases
- Examine samples to verify qualities such as clarity, cleanliness, consistency, dryness, or texture
WHAT IT STILL CAN’T
- Dump, pour, or load specified amounts of refined or unrefined materials into equipment or containers for further processing or storage
- Operate machines to process materials in compliance with applicable safety, energy, or environmental regulations
- Monitor material flow or instruments, such as temperature or pressure gauges, indicators, or meters, to ensure optimal processing conditions
- Turn valves or move controls to admit, drain, separate, filter, clarify, mix, or transfer materials
- Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure
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 14% 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