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EXPOSURE TO AI
10%
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.

10% 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 production data such as weights, types, quantities, and storage locations of materials, as well as equipment performance problems and downtime
  • Observe packages moving along conveyors to identify packages, detect defective packaging, and perform quality control
  • Contact workers in work stations or other departments to request movement of materials, products, or machinery, or to notify them of incoming shipments and their estimated delivery times
WHAT IT STILL CAN’T
  • Observe conveyor operations and monitor lights, dials, and gauges to maintain specified operating levels and to detect equipment malfunctions
  • Load, unload, or adjust materials or products on conveyors by hand, by using lifts, hoists, and scoops, or by opening gates, chutes, or hoppers
  • Stop equipment or machinery and clear jams, using poles, bars, and hand tools, or remove damaged materials from conveyors
  • Distribute materials, supplies, and equipment to work stations, using lifts and trucks
  • Inform supervisors of equipment malfunctions that need to be addressed
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