EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
9%
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.
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
- Observe pictures through monitors and direct camera and video staff concerning shading and composition
- Monitor broadcasts to ensure that programs conform to station or network policies and regulations
- Act as liaisons between engineering and production departments
- Confer with operations directors to formulate and maintain fair and attainable technical policies for programs
- Schedule use of studio and editing facilities for producers and engineering and maintenance staff
WHAT IT STILL CAN’T
- Test equipment to ensure proper operation
- Train workers in use of equipment, such as switchers, cameras, monitors, microphones, and lights
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