OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
26% 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
- Explain exercise program or physiological testing procedures to participants
- Develop exercise programs to improve participant strength, flexibility, endurance, or circulatory functioning, in accordance with exercise science standards, regulatory requirements, and credentialing requirements
- Recommend methods to increase lifestyle physical activity
- Interpret exercise program participant data to evaluate progress or identify needed program changes
- Assess physical performance requirements to aid in the development of individualized recovery or rehabilitation exercise programs
WHAT IT STILL CAN’T
- Provide emergency or other appropriate medical care to participants with symptoms or signs of physical distress
- Demonstrate correct use of exercise equipment or performance of exercise routines
- Provide clinical oversight of exercise for participants at all risk levels
- Measure oxygen consumption or lung functioning, using spirometers
- Evaluate staff performance in leading group exercise or conducting diagnostic tests
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 26% 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