EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
Half in the fire, half out. Choose which half you become.
42% 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
- Attend continuing education programs that address laboratory issues
- Document specimens by verifying patients' and specimens' information
- Submit slides with abnormal cell structures to pathologists for further examination
- Provide patient clinical data or microscopic findings to assist pathologists in the preparation of pathology reports
- Examine cell samples to detect abnormalities in the color, shape, or size of cellular components and patterns
WHAT IT STILL CAN’T
- Assist pathologists or other physicians to collect cell samples by fine needle aspiration (FNA) biopsy or other method
- Prepare cell samples by applying special staining techniques, such as chromosomal staining, to differentiate cells or cell components
- Adjust, maintain, or repair laboratory equipment, such as microscopes
- Maintain effective laboratory operations by adhering to standards of specimen collection, preparation, or laboratory safety
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 42% 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