EXPOSURE TO AI
43%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
43% 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
- Keep logs of recordings
- Confer with producers, performers, and others to determine and achieve the desired sound for a production, such as a musical recording or a film
- Separate instruments, vocals, and other sounds, and combine sounds during the mixing or postproduction stage
- Mix and edit voices, music, and taped sound effects for live performances and for prerecorded events, using sound mixing boards
- Reproduce and duplicate sound recordings from original recording media, using sound editing and duplication equipment
WHAT IT STILL CAN’T
- Prepare for recording sessions by performing such activities as selecting and setting up microphones
- Tear down equipment after event completion
- Report equipment problems and ensure that required repairs are made
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 43% 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