OBSERVED IN REAL USE · Anthropic 2026
24%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
You might want to sit down for this one.
74% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Check completed work for spelling, grammar, punctuation, and format
- Address envelopes or prepare envelope labels, using typewriter or computer
- Type correspondence, reports, text and other written material from rough drafts, corrected copies, voice recordings, dictation, or previous versions, using a computer, word processor, or typewriter
- Gather, register, and arrange the material to be typed, following instructions
- Compute and verify totals on report forms, requisitions, or bills, using adding machine or calculator
WHAT IT STILL CAN’T
- Print and make copies of work
- Transmit work electronically to other locations
- Operate and resupply printers and computers, changing print wheels or fluid cartridges, adding paper, and loading blank tapes, cards, or disks into equipment
- Perform other clerical duties, such as answering telephone, sorting and distributing mail, running errands or sending faxes
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 74% 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