# Will mixing machine operators be replaced by AI? Updated October 2026 Mixing machine operators score 24 of 100 for AI exposure. 54% of their task time still needs a person. AI can do 11% today and speed up another 35%. - **11%** AI can do it - **35%** AI helps - **54%** Needs a person Low exposure Lower than 73% of the 923 occupations we scored. ## Task by task We graded 20 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 7 and leaves 11 to people. | Task | AI exposure | | --- | --- | | Record operational or production data on specified forms. Data logging into forms is well suited to AI and software. | 80% AI can do it | | Read work orders to determine production specifications or information. AI extracts specs from digital or scanned work orders. | 65% AI can do it | | Test samples of materials or products to ensure compliance with specifications, using test equipment. AI can interpret lab results; running test equipment stays physical. | 40% AI helps | | Weigh or measure materials, ingredients, or products to ensure conformance to requirements. Physical weighing, but software can verify readings against specs. | 35% AI helps | | Observe production or monitor equipment to ensure safe and efficient operation. Sensors and alerts assist, but someone must stay on site. | 35% AI helps | ## How mixing machine operators compare All occupations (923) Production (107) **Mixing machine operators 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 $48,990 a year, May 2025 People employed 94,920 in the US, May 2025 Projected change in jobs \-6.1% from 2024 to 2034 ## Skills to build - Run test equipment on material samples to confirm specifications - Read work orders and set batch specifications in SAP software - Log production data accurately in operational databases - Verify scale readings against specs in Microsoft Excel - Clear jams from mixers and machinery with hand tools - Clean and maintain mixers and drain valves manually ## Safer roles nearby 5 related occupations with lower scores. - [Separating machine operators20 out of 100](https://www.aigentcy.com/ai-exposure/separating-machine-operators/) - [Machine feeders20 out of 100](https://www.aigentcy.com/ai-exposure/machine-feeders/) - [Adhesive bonding machine operators22 out of 100](https://www.aigentcy.com/ai-exposure/adhesive-bonding-machine-operators/) - [Packaging machine operators19 out of 100](https://www.aigentcy.com/ai-exposure/packaging-machine-operators/) - [Grinding machine operators21 out of 100](https://www.aigentcy.com/ai-exposure/grinding-machine-operators/) ## Questions about mixing machine operators and AI Will AI replace mixing machine operators? Partly. About 2 in 10 working hours go to tasks AI can already do, mostly logging production data on forms and reading work orders. Physical work on the plant floor, such as loading materials, clearing jams and cleaning mixers, stays with people. Which mixing machine operator tasks will AI take over? Recording production data on forms is the most exposed task, scoring 80, because logging values into structured forms is well suited to software. Reading work orders scores 65, since AI can pull specifications from digital or scanned documents without a person retyping them. Which mixing machine operator tasks stay with people? Clearing jammed materials from machinery scores 3, the lowest in this job, because it takes skilled hands on site. Pouring materials into machines and opening drain valves score 8 because they are physical tasks on the plant floor that need a person present. How can mixing machine operators stay valuable? Learn to run the test equipment yourself and read the results in Excel, since sample testing scores 40. Verify weighing and measuring readings against specs, and log exceptions in SAP software at the source. Stay on site to act on sensor alerts, and keep clearing jams and cleaning mixers manually. ## Related jobs - [Food batchmakers24 out of 100](https://www.aigentcy.com/ai-exposure/food-batchmakers/) - [Forming press operators26 out of 100](https://www.aigentcy.com/ai-exposure/forming-press-operators/) - [Chemical equipment operators25 out of 100](https://www.aigentcy.com/ai-exposure/chemical-equipment-operators/) ## Next steps for mixing machine operators - ### 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.