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.
"My job is 16% cooked. What’s yours?"
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