EXPOSURE TO AI
39%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
20%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
39% 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
- Perform general office duties, such as scheduling appointments, keeping books, and ordering supplies
- Determine desired images and picture composition, selecting and adjusting subjects, equipment, and lighting to achieve desired effects
- Transfer photographs to computers for editing, archiving, and electronic transmission
- Manipulate and enhance scanned or digital images to create desired effects, using computers and specialized software
- Estimate or measure light levels, distances, and numbers of exposures needed, using measuring devices and formulas
WHAT IT STILL CAN’T
- Test equipment prior to use to ensure that it is in good working order
- Set up, mount, or install photographic equipment and cameras
- Perform maintenance tasks necessary to keep equipment working properly
- Select and assemble equipment and required background properties, according to subjects, materials, and conditions
- Direct activities of workers setting up photographic equipment
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 39% 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