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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.

94,920 people do this job in the US. $48,990 a year.

now
4%

of the working time. Estimate.

Kinds of work
  • 4%
  • 0%
  • 96%
0%

Measured, from Anthropic's usage data (2025). Counts help on part of a task.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 4% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 4.4 h long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 3%. With Claude Mythos Preview (early), measured in April 2026, 5%. Today's estimate: 5%.

0%5%10%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 1% within reachClaude 3.7 Sonnet, February 2025: 3% within reacho3, April 2025: 4% within reachGPT-5, August 2025: 4% within reachGemini 3 Pro, November 2025: 4% within reachClaude Opus 4.5, November 2025: 4% within reachGPT-5.2, December 2025: 5% within reachClaude Opus 4.6, February 2026: 5% within reachClaude Mythos Preview (early), April 2026: 5% within reachToday (estimate), September 2026: 5% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

The tasks

Sorted by . 20 tasks from .

TaskKind
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.Done daily by most who do it. 15%50 min17 min to 2.5 hStays with people
Compound or process ingredients or dyes, according to formulas.Done daily by most who do it. 10%38 min13 min to 1.7 hStays with people
Observe production or monitor equipment to ensure safe and efficient operation.Done daily by most who do it. 9%25 min8 min to 1.3 hStays with people
Tend accessory equipment, such as pumps or conveyors, to move materials or ingredients through production processes.Done daily by most who do it. 7%25 min8 min to 1.3 hStays with people
Mix or blend ingredients by starting machines and mixing for specified times.Done daily by most who do it. 6%21 min8 min to 50 minStays with people
Clean and maintain equipment, using hand tools.Done daily by most who do it. 6%38 min13 min to 1.7 hStays with people
Test samples of materials or products to ensure compliance with specifications, using test equipment.Done daily by most who do it.6%25 min8 min to 50 minStays with people
Weigh or measure materials, ingredients, or products to ensure conformance to requirements.Done daily by most who do it. 5%13 min4 min to 25 minStays with people
Clean work areas.Done daily by most who do it. 4%17 min8 min to 50 minStays with people
Stop mixing or blending machines when specified product qualities are obtained and open valves and start pumps to transfer mixtures.Done daily by most who do it. 4%13 min4 min to 29 minStays with people
Unload mixtures into containers or onto conveyors for further processing.Done daily by most who do it. 4%13 min4 min to 33 minStays with people
Collect samples of materials or products for laboratory testing.Done daily by most who do it. 4%13 min4 min to 29 minStays with people

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025).

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025).