EXPOSURE TO AI
41%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
41% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios
- Make announcements to passengers, such as notifications of upcoming stops or schedule delays
- Complete reports, including shift summaries and incident or accident reports
- Greet passengers, provide information, and answer questions concerning fares, schedules, transfers, and routings
- Record transactions and coin receptor readings to verify the amount of money collected
WHAT IT STILL CAN’T
- Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards
- Operate controls to open and close transit vehicle doors
- Drive and control rail-guided public transportation, such as subways, elevated trains, and electric-powered streetcars, trams, or trolleys, to transport passengers
- Regulate vehicle speed and the time spent at each stop to maintain schedules
- Direct emergency evacuation procedures
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 41% 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