EXPOSURE TO AI
17%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
Robots can’t hold a hand, a scalpel, or your nerve.
17% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Announce routes or stops
- Report delays, accidents, or other traffic and transportation situations to dispatchers or other bus drivers, using phones or mobile two-way radios
- Write and submit reports that include data such as the number of passengers or trips, hours worked, mileage driven, or fuel consumed
WHAT IT STILL CAN’T
- Assist disabled children or children with psychological, emotional, or behavioral issues with boarding and exiting the school bus
- Buckle seatbelts or fasten wheelchair tie-down straps to secure passengers for transportation
- Clean school bus interiors by picking up waste, wiping down windows, or vacuuming
- Direct students boarding and exiting the school bus
- Direct students evacuating the bus during safety drills
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 17% 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