The Task Exposure Indexv2026.Q3
Occupation · SOC 51-9023.00 · Job Zone 2

AI exposure: Mixing and Blending Machine Setters, Operators, and Tenders

Set up, operate, or tend machines to mix or blend materials, such as chemicals, tobacco, liquids, color pigments, or explosive ingredients.

Reading this score

computed

At 15.8% of weighted task load, Mixing and Blending Machine Setters, Operators, and Tenders sits at the 25th percentile, below the point where a job's centre of gravity has moved. 76.1% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.

What holds the line here is embodiment. Across this occupation's 20 tasks it averages 2.60 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.

The most exposed thing this job does is Record operational or production data on specified forms, at 73.3%. The least is Dislodge and clear jammed materials or other items from machinery or equipment, at 0.0%. A gap of 73.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within production occupations, this one is less exposed than the median of 16.2% across the group's 107 roles, with 55 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.

What would move this score. Of 20 tasks, 6 are currently banded exposed, 0 assisted and 14 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability0.950-4
Embodiment2.600-3
Presence0.250-3
Accountability0.710-3
Context1.010-3
Verification cost0.980-3

Task by task

20 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Record operational or production data on specified forms.73.3%26.7%0.0%4.41exposed
Read work orders to determine production specifications or information.55.0%20.0%25.0%4.58exposed
Stop mixing or blending machines when specified product qualities are obtained and open valves and start pumps to transfer mixtures.33.3%16.7%50.0%4.47exposed
Tend accessory equipment, such as pumps or conveyors, to move materials or ingredients through production processes.33.3%16.7%50.0%4.22exposed
Open valves to drain slurry from mixers into storage tanks.33.3%16.7%50.0%4.03exposed
Observe production or monitor equipment to ensure safe and efficient operation.30.0%20.0%50.0%4.56exposed
Mix or blend ingredients by starting machines and mixing for specified times.16.7%8.3%75.0%4.54untouched
Examine materials, ingredients, or products visually or with hands to ensure conformance to established standards.11.7%13.3%75.0%4.46untouched
Test samples of materials or products to ensure compliance with specifications, using test equipment.11.7%13.3%75.0%4.28untouched
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.7.5%5.0%87.5%4.41untouched
Clean and maintain equipment, using hand tools.6.7%5.8%87.5%4.09untouched
Weigh or measure materials, ingredients, or products to ensure conformance to requirements.0.0%0.0%100.0%4.61untouched
Compound or process ingredients or dyes, according to formulas.0.0%0.0%100.0%4.46untouched
Dump or pour specified amounts of materials into machinery or equipment.0.0%0.0%100.0%4.41untouched
Collect samples of materials or products for laboratory testing.0.0%0.0%100.0%4.40untouched
Unload mixtures into containers or onto conveyors for further processing.0.0%0.0%100.0%4.35untouched
Clean work areas.0.0%0.0%100.0%4.26untouched
Add or mix chemicals or ingredients for processing, using hand tools or other devices.0.0%0.0%100.0%4.22untouched
Transfer materials, supplies, or products between work areas, using moving equipment or hand tools.0.0%0.0%100.0%4.19untouched
Dislodge and clear jammed materials or other items from machinery or equipment, using hand tools.0.0%0.0%100.0%3.90untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.

What this means in practice

Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.