OBSERVED IN REAL USE · Anthropic 2026
13%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
55% 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
- Develop recipes and menus to address special nutrition needs, such as low glycemic, low histamine, or gluten- or allergen-free
- Develop curriculum and prepare manuals, visual aids, course outlines, and other materials used in teaching
- Write research reports and other publications to document and communicate research findings
- Assess nutritional needs, diet restrictions, and current health plans to develop and implement dietary-care plans and provide nutritional counseling
- Evaluate laboratory tests in preparing nutrition recommendations
WHAT IT STILL CAN’T
- Purchase food in accordance with health and safety codes
- Test new food products and 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 55% 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