# Will AI replace blender? Updated October 2026 Food batchmakers score 24 of 100 for AI exposure. 51% of their task time still needs a person. AI can do 6% today and speed up another 43%. - **6%** AI can do it - **43%** AI helps - **51%** Needs a person Low exposure Lower than 73% of the 923 occupations we scored. ## Task by task We graded 25 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 10 and leaves 14 to people. | Task | AI exposure | | --- | --- | | Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle. AI can structure batch logs from sensors and forms automatically. | 85% AI can do it | | Formulate or modify recipes for specific kinds of food products. AI can generate and scale formulations; food scientist approves. | 55% AI helps | | Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients. AI can reason about mixing order from solubility and temperature. | 50% AI helps | | Modify cooking and forming operations based on the results of sampling processes, adjusting time cycles and ingredients to achieve desired qualities, such as firmness or texture. AI can suggest time and ingredient changes from sample data. | 35% AI helps | | Grade food products according to government regulations or according to type, color, bouquet, and moisture content. Vision tools can grade color and defects; people confirm. | 35% AI helps | ## How food batchmakers compare All occupations (923) Production (107) **Food batchmakers score 24**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 22 for production. ## Pay and outlook in the US Median pay $42,290 a year, May 2025 People employed 174,520 in the US, May 2025 Projected change in jobs +6.5% from 2024 to 2034 ## Skills to build - Log batch records and deviations in Plex Manufacturing Cloud - Scale recipes and costings in Edible Software - Build batch yield reports in Microsoft Excel - Adjust cook times from texture and firmness sample results - Sterilize vats and check for residue before each batch ## Safer roles nearby 5 related occupations with lower scores. - [Separating machine operators20 out of 100](https://www.aigentcy.com/ai-exposure/separating-machine-operators/) - [Agricultural graders22 out of 100](https://www.aigentcy.com/ai-exposure/agricultural-graders/) - [Refrigeration operators21 out of 100](https://www.aigentcy.com/ai-exposure/refrigeration-operators/) - [Packaging machine operators19 out of 100](https://www.aigentcy.com/ai-exposure/packaging-machine-operators/) - [Packers19 out of 100](https://www.aigentcy.com/ai-exposure/packers/) ## Questions about food batchmakers and AI Will blender be replaced by AI? Partly. About 2 in 10 working hours go to tasks AI can already do, mostly recording production and test data for each batch and formulating or modifying recipes. Filling kettles, turning valves, cleaning vats, cooling batches and moving product stay with people because they need hands on the equipment and product. Which food batchmaker tasks is AI taking over? Batch record keeping is the most exposed task, with an exposure score of 85, because AI can structure logs from sensors and forms automatically. Recipe formulation follows at 55, since AI can generate and scale formulations while a food scientist approves them. Mixing sequence decisions score 50, because AI can reason about order from solubility and temperature. Which food batchmaker tasks stay human? Cleaning and sterilizing vats, cooling batches on slabs, and placing product on carts all score 8 on exposure. These tasks stay with people because they need physical work on equipment and product, and they sit within the 51% of task weight that stays human. Filling containers manually and turning valves also score low, at 10. How can food batchmakers stay valuable as AI spreads? Read batch data in Plex Manufacturing Cloud and catch deviations before they reach the next stage. Scale recipes in Edible Software and check each change with a food scientist. Keep sampling skills sharp, because adjusting cook times and ingredients from texture and firmness tests is where AI suggests changes and a person must confirm them. ## Related jobs - [Mixing machine operators24 out of 100](https://www.aigentcy.com/ai-exposure/mixing-machine-operators/) - [Bakers25 out of 100](https://www.aigentcy.com/ai-exposure/bakers/) - [Forming press operators26 out of 100](https://www.aigentcy.com/ai-exposure/forming-press-operators/) - [Cooks23 out of 100](https://www.aigentcy.com/ai-exposure/cooks/) ## Next steps for food batchmakers - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.