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EXPOSURE TO AI
18%
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.

18% 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
  • Coordinate equipment operation with presentation of supplemental material, such as music, oral commentaries, or sound effects
  • Prepare film inspection reports, attendance sheets, and log books
  • Monitor operations to ensure that standards for sound and image projection quality are met
  • Inspect movie films to ensure that they are complete and in good condition
  • Project motion pictures onto back screens for inclusion in scenes within film or stage productions
WHAT IT STILL CAN’T
  • Start projectors and open shutters to project images onto screens
  • Operate equipment to show films in a number of theaters simultaneously
  • Perform regular maintenance tasks, such as rotating or replacing xenon bulbs, cleaning projectors and lenses, lubricating machinery, and keeping electrical contacts clean and tight
  • Set up and adjust picture projectors and screens to achieve proper size, illumination, and focus of images, and proper volume and tone of sound
  • Inspect projection equipment prior to operation to ensure proper working order
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