OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
29% 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
- Write reports of findings and recommendations and advise farmers, growers, or processors of corrective action to be taken
- Compare product recipes with government-approved formulas or recipes to determine acceptability
- Interpret and enforce government acts and regulations and explain required standards to agricultural workers
- Set standards for the production of meat or poultry products or for food ingredients, additives, or compounds used to prepare or package products
- Set labeling standards and approve labels for meat or poultry products
WHAT IT STILL CAN’T
- Inspect food products and processing procedures to determine whether products are safe to eat
- Inspect agricultural commodities or related operations, as well as fish or logging operations, for compliance with laws and regulations governing health, quality, and safety
- Monitor the operations and sanitary conditions of slaughtering or meat processing plants
- Verify that transportation and handling procedures meet regulatory requirements
- Inspect the cleanliness and practices of establishment employees
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 29% 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