EXPOSURE TO AI
44%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
10%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
44% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Enter, store, and retrieve information on computer-aided equipment
- Enter, position, and alter text size, using computers, to make up and arrange pages so that printed materials can be produced
- Generate prepress proofs in digital or other format to approximate the appearance of the final printed piece
- Proofread and perform quality control of text and images
- "Perform ""preflight"" check of required font, graphic, text and image files to ensure completeness prior to delivery to printer."
WHAT IT STILL CAN’T
- Operate and maintain laser plate-making equipment that converts electronic data to plates without the use of film
- Maintain, adjust, and clean equipment, and perform minor repairs
- Punch holes in light-sensitive plates and insert pins in holes to prepare plates for contact with positive or negative film
- Mix solutions such as developing solutions and colored coating solutions
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 44% 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