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EXPOSURE TO AI
53%
HIGH
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.

53% 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
  • Write up or orally communicate research findings to the scientific community, producers, and the public
  • Study nutritional requirements of animals and nutritive values of animal feed materials
  • Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals
  • Advise producers about improved products and techniques that could enhance their animal production efforts
  • Conduct research concerning animal nutrition, breeding, or management to improve products or processes
WHAT IT STILL CAN’T
  • Crossbreed animals with existing strains or cross strains to obtain new combinations of desirable characteristics
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.
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