EXPOSURE TO AI
44%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
2%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
44% 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
- Perform narration of productions or present announcements
- Analyze and maintain data logs for audio-visual activities
- Develop manuals, texts, workbooks, or related materials for use in conjunction with production materials or for training
- Maintain inventories of audio and videotapes and related supplies
- Inform users of audio and videotaping service policies and procedures
WHAT IT STILL CAN’T
- Notify supervisors when major equipment repairs are needed
- Direct and coordinate activities of assistants and other personnel during production
- Perform minor repairs and routine cleaning of audio and video equipment
- Conduct training sessions on selection, use, and design of audio-visual materials and on operation of presentation equipment
- Construct and position properties, sets, lighting equipment, and other 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 44% 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