OBSERVED IN REAL USE · Anthropic 2026
1%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Mostly fireproof. AI hands you the paperwork and steps back.
32% 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
- Record data pertaining to experimentation, research, or animal care
- Prepare data summaries, reports, or analyses that include results, charts, or graphs to document research findings and results
- Respond to general inquiries or requests from the public
- Devise cultural methods or environmental controls for plants for which guidelines are sketchy or nonexistent
- Examine animals or crop specimens to determine the presence of diseases or other problems
WHAT IT STILL CAN’T
- Measure or weigh ingredients used in laboratory testing
- Set up laboratory or field equipment as required for site testing
- Prepare laboratory samples for analysis, following proper protocols to ensure that they will be stored, prepared, and disposed of efficiently and effectively
- Collect animal or crop samples
- Supervise or train agricultural technicians or farm laborers
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 32% 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