# Will separating machine operators be replaced by AI? Updated October 2026 Separating machine operators score 20 of 100 for AI exposure. 76% of their task time still needs a person. AI can do 6% today and speed up another 18%. - **6%** AI can do it - **18%** AI helps - **76%** Needs a person Low exposure Lower than 79% of the 923 occupations we scored. ## Task by task We graded 20 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 3 and leaves 16 to people. | Task | AI exposure | | --- | --- | | Maintain logs of instrument readings, test results, or shift production for entry in computer databases. Logging readings and results into databases is routine data entry. | 80% AI can do it | | Monitor material flow or instruments, such as temperature or pressure gauges, indicators, or meters, to ensure optimal processing conditions. AI can watch instrument feeds and flag drift; person responds. | 35% AI helps | | Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure. AI can suggest setpoints; operator makes physical adjustments. | 25% AI helps | | Communicate processing instructions to other workers. AI can draft handover notes; live instructions stay person-to-person. | 25% AI helps | | Test samples to determine viscosity, acidity, specific gravity, or degree of concentration, using test equipment such as viscometers, pH meters, or hydrometers. Lab testing is hands-on; AI only helps interpret readings. | 20% Needs a person | ## How separating machine operators compare All occupations (923) Production (107) **Separating machine operators score 20**, 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 $51,610 a year, May 2025 People employed 60,100 in the US, May 2025 Projected change in jobs \-5.7% from 2024 to 2034 ## Skills to build - Log shift readings into SAP software batch records - Test viscosity and specific gravity with hydrometers and viscometers - Set machine setpoints and adjust valves manually on the floor - Run safety and energy compliance checks on filter presses and centrifuges - Repair pumps, filters, and screens with hand tools - Hand over shift instructions face to face at changeover ## Safer roles nearby 2 related occupations with lower scores. - [Packaging machine operators19 out of 100](https://www.aigentcy.com/ai-exposure/packaging-machine-operators/) - [Fiber extrusion operators18 out of 100](https://www.aigentcy.com/ai-exposure/fiber-extrusion-operators/) ## Questions about separating machine operators and AI Will AI replace separating machine operators? Partly. About 2 in 10 working hours of a separating machine operator's time go to tasks AI can already do, mostly logging readings into databases and watching instrument feeds. What stays with people is physical work at the equipment, including connecting vats, cleaning tanks, and repairing pumps, because those tasks need a person with hands on the machine. Which tasks is AI taking over for separating machine operators? Logging instrument readings, test results, and shift production into computer databases is the most exposed task, with an exposure score of 80, because it is routine data entry. AI can also watch temperature and pressure feeds and flag drift, with an exposure score of 35, leaving the operator to respond at the machine. Which tasks stay with separating machine operators? Connecting pipes between vats, repairing pumps and filters with hand tools, and cleaning tanks all score 5 or lower on exposure. These tasks stay human because they need physical skill at the equipment, and hands-on lab testing with hydrometers and viscometers, scoring 20, is also mostly done by a person. How can separating machine operators stay valuable? Learn to pull batch data from SAP software and build Excel trend charts, so you can check AI flags against the gauges on the floor. Keep your hands-on skills on filter presses, centrifuges, and hydrometer testing, and train to sign off on the compliance paperwork for each run. ## Related jobs - [Mixing machine operators24 out of 100](https://www.aigentcy.com/ai-exposure/mixing-machine-operators/) - [Chemical equipment operators25 out of 100](https://www.aigentcy.com/ai-exposure/chemical-equipment-operators/) - [Forming press operators26 out of 100](https://www.aigentcy.com/ai-exposure/forming-press-operators/) - [Food batchmakers24 out of 100](https://www.aigentcy.com/ai-exposure/food-batchmakers/) ## Next steps for separating 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.