Will AI replace Mixing and Blending Machine Setters, Operators, and Tenders?
Most of the work in Mixing and Blending Machine Setters, Operators, and Tenders still leans on things AI struggles with — research rates its theoretical AI reach at only ~11%, and real-world use lower still.
O*NET-SOC 51-9023
How your 17 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~11%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~11%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 17 tasks, ratedBased on real task-level AI scores — click to collapse
- Read work orders to determine production specifications or information.
- Record operational or production data on specified forms.
- No tasks in this middle tier.
- 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.
- Mix or blend ingredients by starting machines and mixing for specified times.
- Dump or pour specified amounts of materials into machinery or equipment.
- Collect samples of materials or products for laboratory testing.
- 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.
- Add or mix chemicals or ingredients for processing, using hand tools or other devices.
- Stop mixing or blending machines when specified product qualities are obtained and open valves and start pumps to transfer mixtures.
- Examine materials, ingredients, or products visually or with hands to ensure conformance to established standards.
- Transfer materials, supplies, or products between work areas, using moving equipment or hand tools.
- Test samples of materials or products to ensure compliance with specifications, using test equipment.
- Tend accessory equipment, such as pumps or conveyors, to move materials or ingredients through production processes.
- Unload mixtures into containers or onto conveyors for further processing.
- Clean and maintain equipment, using hand tools.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.