AI exposure score

Mixing and Blending Machine Setters, Operators, and Tenders

Mixing and Blending Machine Setters, Operators, and Tenders score 11 out of 100, which is low exposure to AI. That ranks #731 of 923 US occupations, where #1 is the most exposed. Of the 19 tasks in this job, AI could speed up 2 on its own and 0 more with extra software built on top of it. In April–May 2026, 2 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

11/ 100

Low

Rank: #731of 923 jobs
US workers: 94,920BLS, May 2025
Median pay: $48,990a year
In real AI use: 2 of 19tasks, April–May 2026

Free report

Follow how AI is changing mixing and blending machine setters, operators, and tenders work.

Subscribe to the weekly report and get The AI Job Exposure Report (PDF) right away: the most and least exposed jobs, exposure by field, and the AI-resilient jobs that pay well.

Free · one email a week · unsubscribe anytime

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

AI can speed this up on its own: 2 (11%)
AI can speed this up with extra software: 0 (0%)
Little or no AI speed-up: 17 (89%)

Read work orders to determine production specifications or information.AI can speed this up on its own · core task · Seen in real AI use
Record operational or production data on specified forms.AI can speed this up on its own · core task · Seen in real AI use
Weigh or measure materials, ingredients, or products to ensure conformance to requirements.Little or no AI speed-up · core task
Compound or process ingredients or dyes, according to formulas.Little or no AI speed-up · core task
Observe production or monitor equipment to ensure safe and efficient operation.Little or no AI speed-up · core task
Mix or blend ingredients by starting machines and mixing for specified times.Little or no AI speed-up · core task
Dump or pour specified amounts of materials into machinery or equipment.Little or no AI speed-up · core task
Collect samples of materials or products for laboratory testing.Little or no AI speed-up · core task
Operate or tend machines to mix or blend any of a wide variety of materials, such as spices, dough batter, tobacco, fruit juices, chemicals, livestock feed, food products, color pigments, or explosive ingredients.Little or no AI speed-up · core task
Add or mix chemicals or ingredients for processing, using hand tools or other devices.Little or no AI speed-up · core task
Stop mixing or blending machines when specified product qualities are obtained and open valves and start pumps to transfer mixtures.Little or no AI speed-up · core task
Examine materials, ingredients, or products visually or with hands to ensure conformance to established standards.Little or no AI speed-up · core task
Transfer materials, supplies, or products between work areas, using moving equipment or hand tools.Little or no AI speed-up · core task
Test samples of materials or products to ensure compliance with specifications, using test equipment.Little or no AI speed-up · core task
Tend accessory equipment, such as pumps or conveyors, to move materials or ingredients through production processes.Little or no AI speed-up · core task
Unload mixtures into containers or onto conveyors for further processing.Little or no AI speed-up · core task
Clean and maintain equipment, using hand tools.Little or no AI speed-up · core task
Open valves to drain slurry from mixers into storage tanks.Little or no AI speed-up · supplemental task
Dislodge and clear jammed materials or other items from machinery or equipment, using hand tools.Little or no AI speed-up · supplemental task

What you can do about it

Get a personal plan for what to learn next.

Skill Half Life turns this score into a 90-day plan for your situation: your realistic options, the skills that carry over, and training that fits your time and budget. Coming soon.

See your options

Similar jobs, lower exposure

Related occupations that score at least 10 points lower.

Other jobs in this field

Production occupations close to this one.

All production jobs and AI

Questions about mixing and blending machine setters, operators, and tenders and AI

Will AI replace mixing and blending machine setters, operators, and tenders?

Unlikely. Most of the work is hard for today's AI to speed up. Mixing and Blending Machine Setters, Operators, and Tenders score 11 out of 100 (low exposure), #731 of 923 US jobs. AI could speed up 2 of the job's 19 tasks, 2 of them on its own, while 17 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which mixing and blending machine setters, operators, and tenders tasks can AI do?

The most exposed tasks include "Read work orders to determine production specifications or information"; "Record operational or production data on specified forms".

Which mixing and blending machine setters, operators, and tenders tasks are hardest for AI?

Tasks with little or no AI speed-up include "Weigh or measure materials, ingredients, or products to ensure conformance to requirements"; "Compound or process ingredients or dyes, according to formulas"; "Observe production or monitor equipment to ensure safe and efficient operation".

Are people already using AI for this work?

Yes. In April–May 2026, 2 of the 19 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as mixing and blending machine setters, operators, and tenders, and what do they earn?

About 94,920 people in the US, with median pay of $48,990 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.