EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
6%
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.
42% 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
- Use computers, computer-interfaced equipment, robotics or high-technology industrial applications to perform work duties
- Keep detailed logs of all work-related activities
- Input data into databases
- Analyze experimental data and interpret results to write reports and summaries of findings
- Provide technical support and services for scientists and engineers working in fields such as agriculture, environmental science, resource management, biology, and health sciences
WHAT IT STILL CAN’T
- Conduct research, or assist in the conduct of research, including the collection of information and samples, such as blood, water, soil, plants and animals
- Isolate, identify and prepare specimens for examination
- Set up, adjust, calibrate, clean, maintain, and troubleshoot laboratory and field equipment
- Clean, maintain and prepare supplies and work areas
- Feed livestock or laboratory animals
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 42% 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