OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
29% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Input production job settings into workstation terminals that control automated printing systems
- Maintain time or production records
- Download or scan files to be printed, using printing production software
- Download completed jobs to archive media so that questions can be answered or jobs replicated
- Control workflow scheduling or job tracking, using computer database software
WHAT IT STILL CAN’T
- Start presses and pull proofs to check for ink coverage and density, alignment, and registration
- Adjust ink fountain flow rates
- Feed paper through press cylinders and adjust feed and tension controls
- Load presses with paper and make necessary adjustments, according to paper size
- Secure printing plates to printing units and adjust tolerances
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 29% 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