EXPOSURE TO AI
44%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
44% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease
- Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis
- Monitor and report incidents of infectious diseases to local and state health agencies
- Investigate diseases or parasites to determine cause and risk factors, progress, life cycle, or mode of transmission
- Communicate research findings on various types of diseases to health practitioners, policy makers, and the public
WHAT IT STILL CAN’T
- Supervise professional, technical, and clerical personnel
- Prepare and analyze samples to study effects of drugs, gases, pesticides, or microorganisms on cell structure and tissue
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 44% 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