OBSERVED IN REAL USE · Anthropic 2026
24%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
61% 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
- Prepare purchase orders and send copies to suppliers and to departments originating requests
- Calculate costs of orders, and charge or forward invoices to appropriate accounts
- Review requisition orders to verify accuracy, terminology, and specifications
- Compare suppliers' bills with bids and purchase orders to verify accuracy
- Prepare invitation-of-bid forms, and mail forms to supplier firms or distribute forms for public posting
WHAT IT STILL CAN’T
- Train and supervise subordinates and other staff
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 61% 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