EXPOSURE TO AI
13%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
The last desk the machine reaches. Breathe.
13% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Archive diagnostic material, such as histologic slides and blocks
- Stain tissue specimens with dyes or other chemicals to make cell details visible under microscopes
WHAT IT STILL CAN’T
- Cut sections of body tissues for microscopic examination, using microtomes
- Embed tissue specimens into paraffin wax blocks, or infiltrate tissue specimens with wax
- Freeze tissue specimens
- Maintain laboratory equipment, such as microscopes, mass spectrometers, microtomes, immunostainers, tissue processors, embedding centers, and water baths
- Mount tissue specimens on glass slides
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 13% 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