EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
17%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
42% 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
- Write new scripts for broadcasts
- Prepare slates that describe the scenes being filmed
- Compose and frame each shot, applying the technical aspects of light, lenses, film, filters, and camera settings to achieve the effects sought by directors
- Confer with directors, sound and lighting technicians, electricians, and other crew members to discuss assignments and determine filming sequences, desired effects, camera movements, and lighting requirements
- Operate television or motion picture cameras to record scenes for television broadcasts, advertising, or motion pictures
WHAT IT STILL CAN’T
- Use cameras in any of several different camera mounts, such as stationary, track-mounted, or crane-mounted
- Test, clean, maintain, and repair broadcast equipment, including testing microphones, to ensure proper working condition
- Assemble studio sets and select and arrange cameras, film stock, audio, or lighting equipment to be used during filming
- Direct studio productions
- Reload camera magazines with fresh raw film stock
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 42% 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