OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
26% 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
- Adapt the quantity of ingredients to match the amount of items to be baked
- Prepare or maintain inventory or production records
- Develop new recipes for baked goods
- Check products for quality, and identify damaged or expired goods
- Decorate baked goods, such as cakes or pastries
WHAT IT STILL CAN’T
- Set oven temperatures, and place items into hot ovens for baking
- Combine measured ingredients in bowls of mixing, blending, or cooking machinery
- Place dough in pans, molds, or on sheets, and bake in production ovens or on grills
- Set time and speed controls for mixing machines, blending machines, or steam kettles so that ingredients will be mixed or cooked according to instructions
- Measure or weigh flour or other ingredients to prepare batters, doughs, fillings, or icings, using scales or graduated containers
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 26% 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