OBSERVED IN REAL USE · Anthropic 2026
0%
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.
30% 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
- Adjust coaching techniques, based on the strengths and weaknesses of athletes
- File scouting reports that detail player assessments, provide recommendations on athlete recruitment, and identify locations and individuals to be targeted for future recruitment efforts
- Keep abreast of changing rules, techniques, technologies, and philosophies relevant to their sport
- Plan, organize, and conduct practice sessions
- Provide training direction, encouragement, motivation, and nutritional advice to prepare athletes for games, competitive events, or tours
WHAT IT STILL CAN’T
- Instruct individuals or groups in sports rules, game strategies, and performance principles, such as specific ways of moving the body, hands, or feet, to achieve desired results
- Counsel student athletes on academic, athletic, and personal issues
- Monitor athletes' use of equipment to ensure safe and proper use
- Explain and enforce safety rules and regulations
- Arrange and conduct sports-related activities, such as training camps, skill-improvement courses, clinics, and pre-season try-outs
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 30% 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