OBSERVED IN REAL USE · Anthropic 2026
9%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
60% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Distribute production schedules or work orders to departments
- Review documents, such as production schedules, work orders, or staffing tables, to determine personnel or materials requirements or material priorities
- Calculate figures, such as required amounts of labor or materials, manufacturing costs, or wages, using pricing schedules, adding machines, calculators, or computers
- Maintain files, such as maintenance records, bills of lading, or cost reports
- Provide documentation and information to account for delays, difficulties, or changes to cost estimates
WHAT IT STILL CAN’T
- Confer with department supervisors or other personnel to assess progress and discuss needed changes
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 60% 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