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EXPOSURE TO AI
8%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.

8% 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
  • Locate grain line patterns to determine how rocks will split when cut
WHAT IT STILL CAN’T
  • Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools
  • Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses
  • Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines
  • Cut slabs of stone into sheets that will be used for floors or counters
  • Set charges of explosives to split rock
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