OBSERVED IN REAL USE · Anthropic 2026
1%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
50% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Develop or assist in the development of transportation-related computer software or computer processes
- Check construction plans, design calculations, or cost estimations to ensure completeness, accuracy, or conformity to engineering standards or practices
- Design or prepare plans for new transportation systems or parts of systems, such as airports, commuter trains, highways, streets, bridges, drainage structures, or roadway lighting
- Design or engineer drainage, erosion, or sedimentation control systems for transportation projects
- Prepare project budgets, schedules, or specifications for labor or materials
WHAT IT STILL CAN’T
- Supervise the maintenance or repair of transportation systems or system components
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 50% 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