Mix and bake ingredients to produce breads, rolls, cookies, cakes, pies, pastries, or other baked goods.
U.S. Workers
231,890
Median Salary
$36,650
10-Year Growth
+5.6%
Annual Openings
39,900
Typical entry: No formal educational credential
18 of 18 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Check products for quality and identify damaged or expired goods.
AI: Fully automatable - Computer vision and label-reading systems already perform automated visual quality inspections and expiry detection in many production contexts.
Set oven temperatures and place items into hot ovens for baking.
AI: Fully automatable - Automated ovens with AI control and robotic loaders are common in industrial bakeries, enabling automated temperature setting and placement.
Combine measured ingredients in bowls of mixing, blending, or cooking machinery.
AI: Fully automatable - Ingredient dispensing and mixing are routinely automated with AI/PLC-controlled feeders and machinery in commercial production.
Set time and speed controls for mixing machines, blending machines, or steam kettles so that ingredients will be mixed or cooked according to instructions.
AI: Fully automatable - AI and control systems can set and manage time and speed controls for mixers, blenders, and kettles to follow recipes.
Place dough in pans, molds, or on sheets and bake in production ovens or on grills.
AI: Fully automatable - Dough depositing into pans and loading into production ovens is handled by existing automated bakery equipment.
Measure or weigh flour or other ingredients to prepare batters, doughs, fillings, or icings, using scales or graduated containers.
AI: Fully automatable - Automated scales and dosing systems enable AI-controlled precise measurement and weighing of ingredients.
Observe color of products being baked and adjust oven temperatures, humidity, or conveyor speeds accordingly.
AI: Fully automatable - Computer vision can monitor product color and closed-loop control systems can adjust oven temperature, humidity, and conveyor speed accordingly.
Adapt the quantity of ingredients to match the amount of items to be baked.
AI: Fully automatable - AI can accurately calculate scaled ingredient quantities, convert units, and adjust formulas using baker's percentages and yield considerations.
Operate slicing or wrapping machines.
AI: Fully automatable - Slicing and wrapping are commonly performed by automated machinery that can be controlled and monitored by AI, minimizing manual operation.
Roll, knead, cut, or shape dough to form sweet rolls, pie crusts, tarts, cookies, or other products.
AI: Fully automatable - Industrial mixers, sheeters, dividers and cutters and increasingly robotic systems can roll, knead, cut and shape dough for a wide range of products, enabling full automation in many production contexts.
Direct or coordinate bakery deliveries.
AI: Fully automatable - Logistics and routing software driven by AI can fully coordinate, schedule and optimize bakery deliveries even though physical transport is executed by drivers or carrier networks.
Prepare or maintain inventory or production records.
AI: Fully automatable - Digital inventory and production-tracking systems can automatically prepare and maintain records, with AI handling reconciliation and forecasting.
Check the quality of raw materials to ensure that standards and specifications are met.
AI: Partial - AI and sensors can perform many raw-material checks, but full assurance against all specification failures often still requires lab tests or human sensory judgment.
Check equipment to ensure that it meets health and safety regulations and perform maintenance or cleaning, as necessary.
AI: Partial - AI can provide checklists, sensor diagnostics and maintenance guidance but cannot physically inspect or perform cleaning/repairs without specialized robotics and full IoT integration.
Apply glazes, icings, or other toppings to baked goods, using spatulas or brushes.
AI: Partial - Automation and robotic glazing exist for uniform applications, but AI-driven systems generally cannot replicate skilled manual spatula or brush work for artisanal finishes in most settings.
Decorate baked goods, such as cakes or pastries.
AI: Partial - AI can design decoration patterns and drive some robotic decorators, but bespoke, fine-detail cake and pastry decorating still relies on human dexterity and sensory judgment.
Order or receive supplies or equipment.
AI: Partial - Automated ordering via inventory systems is mature, but physical receiving and inspection of supplies typically still require human involvement unless the facility has advanced receiving automation.
Develop new recipes for baked goods.
AI: Partial - AI can generate and optimize recipe formulations and suggest novel combinations, but final recipe development requires physical trials and sensory validation by humans.