OBSERVED IN REAL USE · Anthropic 2026
20%
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.
59% 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
- Record applications for loan and credit, loan information, and disbursements of funds, using computers
- Prepare and type loan applications, closing documents, legal documents, letters, forms, government notices, and checks, using computers
- Calculate, review, and correct errors on interest, principal, payment, and closing costs, using computers or calculators
- Verify and examine information and accuracy of loan application and closing documents
- Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts
WHAT IT STILL CAN’T
- Almost nothing here is clearly out of reach. That’s the warning in this one.
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 59% 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