OBSERVED IN REAL USE · Anthropic 2026
45%
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.
58% 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
- Maintain and update filing, inventory, mailing, and database systems, either manually or using a computer
- Compile, copy, sort, and file records of office activities, business transactions, and other activities
- Compute, record, and proofread data and other information, such as records or reports
- Type, format, proofread, and edit correspondence and other documents, from notes or dictating machines, using computers or typewriters
- Complete and mail bills, contracts, policies, invoices, or checks
WHAT IT STILL CAN’T
- Operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems, and personal computers
- Deliver messages and run errands
- Collect, count, and disburse money, do basic bookkeeping, and complete banking transactions
- Train other staff members to perform work activities, such as using computer applications
- Count, weigh, measure, or organize 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 58% 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