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EXPOSURE TO AI
7%
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.

7% 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
  • Record operating data such as products and quantities pumped, gauge readings, and operating times, manually or using computers
WHAT IT STILL CAN’T
  • Seal outlet valves on tank cars, barges, and trucks
  • Start pumps and adjust valves or cables to regulate the flow of products to vessels, using knowledge of loading procedures
  • Check conditions and weights of vessels to ensure cleanliness and compliance with loading procedures
  • Observe positions of cars passing loading spouts, and swing spouts into the correct positions at the appropriate times
  • Operate ship loading and unloading equipment, conveyors, hoists, and other specialized material handling equipment such as railroad tank car unloading equipment
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.
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