OBSERVED IN REAL USE · Anthropic 2026
18%
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.
63% 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
- Create, manage, or automate orders or invoices, using order management or invoicing software
- Deliver e-mail confirmation of completed transactions and shipment
- Calculate purchase subtotals, taxes, and shipping costs for submission to customers
- Compose descriptions of merchandise for posting to online storefront, auction sites, or other shopping Web sites
- Calculate revenue, sales, and expenses, using financial accounting or spreadsheet software
WHAT IT STILL CAN’T
- Receive and process payments from customers, using electronic transaction services
- Maintain inventory of shipping supplies, such as boxes, labels, tape, bubble wrap, loose packing materials, or tape guns
- Fill customer orders by packaging sold items and documentation for direct shipping or by transferring orders to manufacturers or third-party distributors
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 63% 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