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.
31% 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
- Teach and explain the rules and regulations governing a specific sport
- Report to regulating organizations regarding sporting activities, complaints made, and actions taken or needed, such as fines or other disciplinary actions
- Compile scores and other athletic records
- Verify scoring calculations before competition winners are announced
- Verify credentials of participants in sporting events, and make other qualifying determinations, such as starting order or handicap number
WHAT IT STILL CAN’T
- Officiate at sporting events, games, or competitions, to maintain standards of play and to ensure that game rules are observed
- Inspect game sites for compliance with regulations or safety requirements
- Resolve claims of rule infractions or complaints by participants and assess any necessary penalties, according to regulations
- Signal participants or other officials to make them aware of infractions or to otherwise regulate play or competition
- Inspect sporting equipment or examine participants to ensure compliance with event and safety regulations
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 31% 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