1.9AI / 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
Poultry Producers in the age of AI: impact evidence and adaptation options
ISCO-08 6122 · Thai source label: ผู้เลี้ยงสัตว์ปีก
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 6122
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.
Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Record the numbers and types of fish or shellfish reared, harvested, released, sold, and shipped.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Observe animals for signs of illness, injury, or unusual behavior, notifying veterinarians or managers as warranted.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Observe fish and beds or ponds to detect diseases, monitor fish growth, determine quality of fish, or determine completeness of harvesting.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Treat animal illnesses or injuries, following experience or instructions of veterinarians.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment.
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: 3.75 out of 5.
Monitoring
Importance rating: 3.62 out of 5.
Speaking
Importance rating: 3.62 out of 5.
Reading Comprehension
Importance rating: 3.50 out of 5.
Active Listening
Importance rating: 3.38 out of 5.
Learning Strategies
Importance rating: 3.25 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.
handling and moving
76.3% of the published ESCO matrix row
information skills
15.8% of the published ESCO matrix row
communication, collaboration and creativity
3.9% of the published ESCO matrix row
working with machinery and specialised equipment
3.9% 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 Poultry Producers: use it to practise AI literacy, prompting, output checks, and responsible use.
- Practice output
- Choose one Poultry Producers 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.