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EXPOSURE TO AI
16%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
Robots can’t hold a hand, a scalpel, or your nerve.

16% 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
  • Program lighting consoles or load automated lighting control systems onto consoles
  • Match light fixture settings, such as brightness and color, to lighting design plans
  • Visit and assess structural and electrical layout of locations before setting up lighting equipment
  • Operate manual or automated systems to control lighting throughout productions
WHAT IT STILL CAN’T
  • Assess safety of wiring or equipment set-up to determine the risk of fire or electrical shock
  • Disassemble and store equipment after performances
  • Install color effects or image patterns, such as color filters, onto lighting fixtures
  • Install electrical cables or wire fixtures
  • Load, unload, or position lighting equipment
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