1.5AI / 10
Use the score to choose where to start adapting
Not ExposedCompare the score with the work you actually do. Separate repetitive work, work that needs review, and work that depends on human judgement.
Source ID: SRC-2026-07-14-ilo-wp140International Labour Organization (ILO) Working Paper 140
Food and Related Products Machine Operators in the age of AI: impact evidence and adaptation options
ISCO-08 8160 · Thai source label: ผู้ควบคุมเครื่องจักรผลิตผลิตภัณฑ์อาหารและผลิตภัณฑ์ที่เกี่ยวข้อง
This score estimates where generative AI may assist with or perform parts of tasks. It does not predict that a job will disappear.
What the ILO evidence measures
Occupation codeISCO-08 8160
AI exposure groupNot Exposed
Score sourceILO Working Paper 140
Tasks in this occupation
O*NET statements are enrichment from US roles connected through the official BLS and O*NET crosswalk chain. Confirm that an example fits your local work before using it.
Observe, feel, taste, or otherwise examine products during and after processing to ensure conformance to standards.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Observe temperature, humidity, pressure gauges, and product samples and adjust controls, such as thermostats and valves, to maintain prescribed operating conditions for specific stages.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Operate or tend equipment that roasts, bakes, dries, or cures food items such as cocoa and coffee beans, grains, nuts, and bakery products.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Set temperature and time controls, light ovens, burners, driers, or roasters, and start equipment, such as conveyors, cylinders, blowers, driers, or pumps.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Observe flow of materials and listen for machine malfunctions, such as jamming or spillage, and notify supervisors if corrective actions fail.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Record production data, such as weight and amount of product processed, type of product, and time and temperature of processing.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Weigh or measure products, using scale hoppers or scale conveyors.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Read work orders to determine quantities and types of products to be baked, dried, or roasted.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Skills used in this occupation
O*NET importance ratings provide a sourced starting point for deciding which existing capabilities to strengthen.
Critical Thinking
Importance rating: 3.62 out of 5.
Monitoring
Importance rating: 3.50 out of 5.
Active Listening
Importance rating: 3.12 out of 5.
Reading Comprehension
Importance rating: 3.12 out of 5.
Speaking
Importance rating: 3.12 out of 5.
Active Learning
Importance rating: 3.00 out of 5.
ESCO skill-group context
These shares describe how ESCO skill records for the occupation group are distributed across broad categories. They are not personal capability scores or mandatory skills for every job.
assisting and caring
25.8% of the published ESCO matrix row
handling and moving
22.4% of the published ESCO matrix row
working with machinery and specialised equipment
20.1% of the published ESCO matrix row
information skills
12.4% of the published ESCO matrix row
Build a plan from the task you choose
The Planner does not display invented capability percentages. You select a task, baseline the current method, run a safe bounded experiment, and keep evidence before deciding whether to continue.
30 days
Select one task, map its process, and measure time, quality, and rework across at least three examples.
60 days
Test one bounded step with synthetic or de-identified data, then log errors, human checks, and limitations.
90 days
Use the reviewed method in a real cycle with the process owner's approval, or stop if the result is not good enough.
Relevant courses
Recommendations match reviewed course categories to ISCO-08 and mapped ESCO skill-group records. Occupation-title keywords are not used as sole evidence. Before enrolling, recheck the syllabus, language, schedule, cost, and current access with the provider.
No verified course currently matches this occupation's specific skill evidence as of 12 August 2026. The foundation below applies across occupations and is not occupation-specific.
AI Fluency
ความคล่องตัวของ AI
- Why it is recommended
- A cross-occupation foundation, not a course specific to Food and Related Products Machine Operators: use it to practise AI literacy, prompting, output checks, and responsible use.
- Practice output
- Choose one Food and Related Products Machine Operators duty, use synthetic data to create a prompt, verify three outputs against a source, and record the errors.
- Study time
- 7 modules
- Cost and access
- Microsoft Learn content is free and can be consumed without signing in; a free profile is needed to save progress or achievements.
This page uses scores from International Labour Organization (ILO) Working Paper 140, official Thai duties from NSO, mapped O*NET enrichment, and ESCO skill-group context with an explicit mapping scope. Roongan does not fill evidence gaps with generated claims.
This service uses the ESCO classification of the European Commission.