EXPOSURE TO AI
40%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
2%
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.
40% 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
- Read job orders to determine the type of work to be done, the quantities to be produced, and the materials needed
- Complete records of production, including work volumes and outputs, materials used, and any backlogs
- Compute prices for services and receive payment, or provide supervisors with billing information
- File and store completed documents
- Sort, assemble, and proof completed work
WHAT IT STILL CAN’T
- Deliver completed work
- Place original copies in feed trays, feed originals into feed rolls, or position originals on tables beneath camera lenses
- Set up and adjust machines, regulating factors such as speed, ink flow, focus, and number of copies
- Load machines with materials such as blank paper or film
- Monitor machine operation, and make adjustments as necessary to ensure proper operation
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 40% 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