EXPOSURE TO AI
11%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
11% 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
- Learn the location and purpose of street traffic signs within assigned patrol areas
- Record license numbers of vehicles disregarding traffic signals, and report infractions to appropriate authorities
WHAT IT STILL CAN’T
- Direct or escort pedestrians across streets, stopping traffic, as necessary
- Guide or control vehicular or pedestrian traffic at such places as street and railroad crossings and construction sites
- Communicate traffic and crossing rules and other information to students and adults
- Monitor traffic flow to locate safe gaps through which pedestrians can cross streets
- Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals
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 11% 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