Will AI replace Bakers?
Most of the work in Bakers still leans on things AI struggles with — research rates its theoretical AI reach at only ~26%, and real-world use lower still.
O*NET-SOC 51-3011
How your 16 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~26%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~26%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- Adapt the quantity of ingredients to match the amount of items to be baked.
- Prepare or maintain inventory or production records.
- Check products for quality, and identify damaged or expired goods.
- Decorate baked goods, such as cakes or pastries.
- Direct or coordinate bakery deliveries.
- Order or receive supplies or equipment.
- 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.
- Observe color of products being baked, and adjust oven temperatures, humidity, or conveyor speeds accordingly.
- Check the quality of raw materials to ensure that standards and specifications are met.
- Check equipment to ensure that it meets health and safety regulations, and perform maintenance or cleaning, as necessary.
- Apply glazes, icings, or other toppings to baked goods, using spatulas or brushes.
- Roll, knead, cut, or shape dough to form sweet rolls, pie crusts, tarts, cookies, or other products.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.