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EXPOSURE TO AI
38%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
1%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.

38% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Maintain records, such as quantities or types of processing completed, materials used, or customer charges
  • Read work orders to determine required processes, techniques, materials, or equipment
  • Select digital images for printing, specify number of images to be printed, and direct to printer, using computer software
  • Create prints according to customer specifications and laboratory protocols
  • Produce color or black-and-white photographs, negatives, or slides, applying standard photographic reproduction techniques and procedures
WHAT IT STILL CAN’T
  • Set or adjust machine controls, according to specifications, type of operation, or material requirements
  • Fill tanks of processing machines with solutions such as developer, dyes, stop-baths, fixers, bleaches, or washes
  • Measure and mix chemicals to prepare solutions for processing, according to formulas
  • Load circuit boards, racks or rolls of film, negatives, or printing paper into processing or printing machines
  • Insert processed negatives and prints into envelopes for delivery to customers
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