OBSERVED IN REAL USE · Anthropic 2026
24%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
54% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Prepare a major meal, following recipes and determining group food quantities
- Develop job specifications, job descriptions, or work schedules
- Observe and monitor patient food intake and body weight, and report changes, progress, and dietary problems to dietician
- Conduct nutritional assessments of individuals, including obtaining and evaluating individuals' dietary histories, to plan nutritional programs
- Supervise food production or service or assist dietitians or nutritionists in food service supervision or planning
WHAT IT STILL CAN’T
- Attend interdisciplinary meetings with other health care professionals to discuss patient care
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 54% 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