Apiarists and Sericulturists

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Apiarists and Sericulturists (ISCO-08 6123) score an average of 0.22 on a 0–1 exposure scale — more exposed than about 40% 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 7 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 insect products to produce, and planning and coordinating production accordingly;”

Scores 0.41 on the 2025 scale. The task "Monitoring market activity and conditions, determining kinds and amounts of insect products to produce, and planning and coordinating production accordingly" involves complex decision-making, data analysis, and strategic planning, areas where Generative AI can assist significantly but not entirely replace human expertise. The tasks with similar cognitive demands, such as "Determining the amount of required seeds, fertilizers", "Creating short-, medium-, and long-term plans" and "Planning and controlling the use of resources and assets", have scores ranging from 0.38 to 0.44, reflecting moderate automation potential due to AI's strengths in data analysis and forecasting. Given these tasks necessarily involve human oversight and domain-specific expertise, as well as the context of Poland's high-tech infrastructure which facilitates AI integration, an adjusted score of 0.38 acknowledges AI's valuable role in supporting this complex blend of analytical and strategic functions, while recognizing the necessity for human insight and decision-making for execution and adjustments based on nuanced market realities.

Moving fastest, 2023 → 2025

“Training and supervising workers in production procedures, maintenance duties, and health and safety precautions, and hiring and discharging workers and contractors.”

Model capability on this task changed by +0.04 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 6123, 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.

Apiarists and Sericulturists sit at the 40th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Apiarists and Sericulturists rank in the 40th 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 0.11 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 insect products to produce, and planning and coordinating production accordingly;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Apiarists and Sericulturists". https://singulariki.com/gradient/6123-apiarists-and-sericulturists.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.