AI exposure: Food Science Technicians
Work with food scientists or technologists to perform standardized qualitative and quantitative tests to determine physical or chemical properties of food or beverage products. Includes technicians who assist in research and development of production technology, quality control, packaging, processing, and use of foods.
Reading this score
computedAt 20.7% of weighted task load, Food Science Technicians sits at the 37th percentile, below the point where a job's centre of gravity has moved. 60.7% 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 16 tasks it averages 2.38 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 Order supplies needed to maintain inventories in laboratories or in storage facilities of food..., at 50.0%. The least is Supervise other food science technicians, at 6.7%. A gap of 43.3% 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 life, physical and social science occupations, this one is less exposed than the median of 36.3% across the group's 60 roles, with 52 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 16 tasks, 4 are currently banded exposed, 2 assisted and 10 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
judgedEvery 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.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.56 | 0-4 |
| Embodiment | 2.38 | 0-3 |
| Presence | 0.72 | 0-3 |
| Accountability | 1.25 | 0-3 |
| Context | 1.47 | 0-3 |
| Verification cost | 1.62 | 0-3 |
Task by task
16 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Order supplies needed to maintain inventories in laboratories or in storage facilities of food or beverage processing plants. | 50.0% | 25.0% | 25.0% | 3.71 | exposed |
| Maintain records of testing results or other documents as required by state or other governing agencies. | 45.0% | 30.0% | 25.0% | 4.44 | exposed |
| Record or compile test results or prepare graphs, charts, or reports. | 45.0% | 30.0% | 25.0% | 4.26 | exposed |
| Provide assistance to food scientists or technologists in research and development, production technology, or quality control. | 26.7% | 23.3% | 50.0% | 3.91 | exposed |
| Analyze test results to classify products or compare results with standard tables. | 20.0% | 30.0% | 50.0% | 4.30 | assisted |
| Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures. | 20.0% | 30.0% | 50.0% | 3.76 | assisted |
| Measure, test, or weigh bottles, cans, or other containers to ensure that hardness, strength, or dimensions meet specifications. | 15.0% | 10.0% | 75.0% | 4.51 | untouched |
| Monitor and control temperature of products. | 15.0% | 10.0% | 75.0% | 4.38 | untouched |
| Examine chemical or biological samples to identify cell structures or to locate bacteria or extraneous material, using a microscope. | 15.0% | 22.5% | 62.5% | 4.19 | untouched |
| Conduct standardized tests on food, beverages, additives, or preservatives to ensure compliance with standards and regulations regarding factors such as color, texture, or nutrients. | 15.0% | 10.0% | 75.0% | 4.16 | untouched |
| Mix, blend, or cultivate ingredients to make reagents or to manufacture food or beverage products. | 13.3% | 11.7% | 75.0% | 3.97 | untouched |
| Taste or smell foods or beverages to ensure that flavors meet specifications or to select samples with specific characteristics. | 11.7% | 13.3% | 75.0% | 4.68 | untouched |
| Train newly hired laboratory personnel. | 10.0% | 15.0% | 75.0% | 3.93 | untouched |
| Prepare or incubate slides with cell cultures. | 10.0% | 15.0% | 75.0% | 4.25 | untouched |
| Perform regular maintenance of laboratory equipment by inspecting, calibrating, cleaning, or sterilizing. | 7.5% | 5.0% | 87.5% | 4.23 | untouched |
| Supervise other food science technicians. | 6.7% | 18.3% | 75.0% | 3.78 | untouched |
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.