Food Science Technicians

Food Science Technicians score 36 out of 100, which is moderate exposure to AI. That ranks #466 of 923 US occupations, where #1 is the most exposed. Of the 16 tasks in this job, AI could speed up 4 on its own and 3 more with extra software built on top of it. In April–May 2026, 3 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

36/ 100

Moderate

Rank: #466of 923 jobs
US workers: 14,600BLS, May 2025
Median pay: $52,130a year
In real AI use: 3 of 16tasks, April–May 2026

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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: 4 (25%)
AI can speed this up with extra software: 3 (19%)
Little or no AI speed-up: 9 (56%)

Record or compile test results or prepare graphs, charts, or reports.AI can speed this up on its own · core task · Seen in real AI use
Maintain records of testing results or other documents as required by state or other governing agencies.AI can speed this up on its own · core task
Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures.AI can speed this up on its own · core task · Seen in real AI use
Analyze test results to classify products or compare results with standard tables.AI can speed this up on its own · core task · Seen in real AI use
Provide assistance to food scientists or technologists in research and development, production technology, or quality control.AI can speed this up with extra software · core task
Examine chemical or biological samples to identify cell structures or to locate bacteria or extraneous material, using a microscope.AI can speed this up with extra software · supplemental task
Order supplies needed to maintain inventories in laboratories or in storage facilities of food or beverage processing plants.AI can speed this up with extra software · supplemental task
Conduct standardized tests on food, beverages, additives, or preservatives to ensure compliance with standards and regulations regarding factors such as color, texture, or nutrients.Little or no AI speed-up · core task
Taste or smell foods or beverages to ensure that flavors meet specifications or to select samples with specific characteristics.Little or no AI speed-up · core task
Monitor and control temperature of products.Little or no AI speed-up · core task
Perform regular maintenance of laboratory equipment by inspecting, calibrating, cleaning, or sterilizing.Little or no AI speed-up · core task
Train newly hired laboratory personnel.Little or no AI speed-up · core task
Measure, test, or weigh bottles, cans, or other containers to ensure that hardness, strength, or dimensions meet specifications.Little or no AI speed-up · core task
Mix, blend, or cultivate ingredients to make reagents or to manufacture food or beverage products.Little or no AI speed-up · core task
Prepare or incubate slides with cell cultures.Little or no AI speed-up · supplemental task
Supervise other food science technicians.Little or no AI speed-up

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Questions about food science technicians and AI

Will AI replace food science technicians?

Unlikely. Most of the work is hard for today's AI to speed up. Food Science Technicians score 36 out of 100 (moderate exposure), #466 of 923 US jobs. AI could speed up 7 of the job's 16 tasks, 4 of them on its own, while 9 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which food science technicians tasks can AI do?

The most exposed tasks include "Record or compile test results or prepare graphs, charts, or reports"; "Maintain records of testing results or other documents as required by state or other governing agencies"; "Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures".

Which food science technicians tasks are hardest for AI?

Tasks with little or no AI speed-up include "Conduct standardized tests on food, beverages, additives, or preservatives to ensure compliance with standards and regulations regarding factors such as color, texture, or nutrients"; "Taste or smell foods or beverages to ensure that flavors meet specifications or to select samples with specific characteristics"; "Monitor and control temperature of products".

Are people already using AI for this work?

Yes. In April–May 2026, 3 of the 16 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as food science technicians, and what do they earn?

About 14,600 people in the US, with median pay of $52,130 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.