EXPOSURE TO AI
18%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
18% 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
- Review daily work or delivery schedules to determine orders, sequences of deliveries, or special loading instructions
- Determine load weights and check them against lifting capacities to prevent overload
- Weigh bundles, using floor scales, and record weights for company records
WHAT IT STILL CAN’T
- Move levers, depress foot pedals, or turn dials to operate cranes, cherry pickers, electromagnets, or other moving equipment for lifting, moving, or placing loads
- Inspect and adjust crane mechanisms or lifting accessories to prevent malfunctions or damage
- Inspect cables or grappling devices for wear and install or replace cables, as needed
- Direct helpers engaged in placing blocking or outrigging under cranes
- Clean, lubricate, and maintain mechanisms such as cables, pulleys, or grappling devices, making repairs, as necessary
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 18% 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