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.
29% 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
- Record names, types, and destinations of vessels passing through bridge openings or locks, and numbers of trains or vehicles crossing bridges
- Write and submit maintenance work requisitions
- Log data, such as water levels and weather conditions
- Prepare accident reports
WHAT IT STILL CAN’T
- Control machinery to open and close canal locks and dams, railroad or highway drawbridges, or horizontally or vertically adjustable bridges
- Direct movements of vessels in locks or bridge areas, using signals, telecommunication equipment, or loudspeakers
- Observe position and progress of vessels to ensure best use of lock spaces or bridge opening spaces
- Observe approaching vessels to determine size and speed, and listen for whistle signals indicating desire to pass
- Move levers to activate traffic signals, navigation lights, and alarms
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 29% 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