Animal Producers Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Animal Producers Not Elsewhere Classified (ISCO-08 6129) score an average of 0.20 on a 0–1 exposure scale — more exposed than about 33% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Monitoring market activity and conditions, determining kinds and amounts of products to produce, planning and coordinating production accordingly;”

Scores 0.46 on the 2025 scale. The task of monitoring market activity and conditions, determining products to produce, and planning and coordinating production is complex, involving both strategic decision-making and data analysis. Generative AI can significantly aid in the analysis of market trends and data processing, similar to the task of "Analyzing market of similar services and forecasting demand for services," which had a score of 0.405. However, this task also requires high-level strategic thinking, market expertise, and adaptability, akin to "Developing strategies and production policies" with an adjusted score of 0.375. Additionally, the task involves executing production planning, sharing elements with the "Creating short-, medium-, and long-term plans" task, which scored 0.44. Given these parallels and AI's capacity for supporting but not entirely taking over such roles, the adjusted score of 0.475 reflects a moderate potential for GenAI to assist comprehensively in data analysis and preliminary decision-making, while final strategic and adaptive decisions remain heavily reliant on human expertise, considering Poland's high technological infrastructure.

Moving fastest, 2023 → 2025

“Slaughtering and skinning animals and preparing animal products for market;”

Model capability on this task changed by +0.05 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 6129, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• First-Line Supervisors of Farming, Fishing, and Forestry Workers
• Animal Breeders

In context

Part of the 6 - Skilled agricultural, forestry and fishery workers major group. Return to the full gradient to see how the whole group sits.

Animal Producers Not Elsewhere Classified sit at the 33rd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Animal Producers Not Elsewhere Classified rank in the 33rd percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure fell by 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Monitoring market activity and conditions, determining kinds and amounts of products to produce, planning and coordinating production accordingly;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Animal Producers Not Elsewhere Classified". https://singulariki.com/gradient/6129-animal-producers-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.