EXPOSURE TO AI
14%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
2%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
14% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Record information about crops, such as pesticide use, yields, or costs
- Record information about plants and plant growth
- Identify plants, pests, and weeds to determine the selection and application of pesticides and fertilizers
- Provide information and advice to the public regarding the selection, purchase, and care of products
- Feel plants' leaves and note their coloring to detect the presence of insects or disease
WHAT IT STILL CAN’T
- Direct and monitor the work of casual and seasonal help during planting and harvesting
- Participate in the inspection, grading, sorting, storage, and post-harvest treatment of crops
- Harvest plants, and transplant or pot and label them
- Repair and maintain farm vehicles, implements, and mechanical equipment
- Harvest fruits and vegetables by hand
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 14% 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