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EXPOSURE TO AI
51%
HIGH
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.

51% 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
  • Review and update standard operating procedures or quality assurance manuals
  • Document testing procedures, methodologies, or criteria
  • Monitor performance of quality control systems to ensure effectiveness and efficiency
  • Review quality documentation necessary for regulatory submissions and inspections
  • Analyze quality control test results and provide feedback and interpretation to production management or staff
WHAT IT STILL CAN’T
  • Stop production if serious product defects are present
  • Audit and inspect subcontractor facilities including external laboratories
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