OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
Mostly fireproof. AI hands you the paperwork and steps back.
21% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Conduct chemical analyses of body fluids, such as blood or urine, using microscope or automatic analyzer to detect abnormalities or diseases and enter findings into computer
- Analyze the results of tests or experiments to ensure conformity to specifications, using special mechanical or electrical devices
- Examine cells stained with dye to locate abnormalities
- Consult with a pathologist to determine a final diagnosis when abnormal cells are found
- Perform medical research to further control or cure disease
WHAT IT STILL CAN’T
- Set up, maintain, calibrate, clean, and test sterility of medical laboratory equipment
- Prepare standard volumetric solutions or reagents to be combined with samples, following standardized formulas or experimental procedures
- Collect blood or tissue samples from patients, observing principles of asepsis to obtain blood sample
- Supervise or instruct other technicians or laboratory assistants
- Conduct blood tests for transfusion purposes and perform blood counts
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 21% 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