OBSERVED IN REAL USE · Anthropic 2026
2%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
54% 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
- Balance currency, coin, and checks in cash drawers at ends of shifts and calculate daily transactions, using computers, calculators, or adding machines
- Enter customers' transactions into computers to record transactions and issue computer-generated receipts
- Answer telephones and assist customers with their questions
- Identify transaction mistakes when debits and credits do not balance
- Perform clerical tasks, such as typing, filing, and microfilm photography
WHAT IT STILL CAN’T
- Monitor bank vaults to ensure cash balances are correct
- Count currency, coins, and checks received, by hand or using currency-counting machine, to prepare them for deposit or shipment to branch banks or the Federal Reserve Bank
- Sort and file deposit slips and checks
- Receive and count daily inventories of cash, drafts, and travelers' checks
- Arrange monies received in cash boxes and coin dispensers according to denomination
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 54% 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