Gardeners, Horticultural and Nursery Growers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 12 task statements that define Gardeners, Horticultural and Nursery Growers (ISCO-08 6113) score an average of 0.18 on a 0–1 exposure scale — more exposed than about 29% 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 12 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Promoting and marketing products, arranging the sale, purchase and transportation of produce and supplies, and maintaining and evaluating records of activities and transactions;”

Scores 0.45 on the 2025 scale. The task of promoting and marketing products, arranging the sale, purchase, and transportation of produce and supplies, while maintaining and evaluating records of activities and transactions, involves various components that are partly automatable with Generative AI. It includes both logistical organization and promotional activities. From the context provided, promotional tasks such as "Promoting the bookstore's assortment" (adjusted score 0.445) and "Promoting manufactured eco-friendly products" (adjusted score 0.385) show significant potential for AI to assist in content generation, data analysis, and customer interactions. Similarly, tasks like "Organizing the storage of products and preparing them for sale" (adjusted score 0.135) point to automation potential in logistical organization, albeit more limited due to physical components. Given that this task combines promotion, marketing, logistical planning, and transaction monitoring, AI can enhance efficiency by generating marketing materials, analyzing sales data, and optimizing logistics plans. However, human oversight is essential for strategy development, customer interactions, and adapting to market changes. Considering these factors and the context of a high-income country like Poland, an adjusted score of 0.45 reflects the moderate potential for AI support, capturing both the routine and strategic elements of the task.

Moving fastest, 2023 → 2025

“Monitoring market activity and conditions determining kinds and amounts of vegetables, horticultural and nursery products to be grown, and planning and coordinating production accordingly;”

Model capability on this task changed by +0.14 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 6113, 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 Landscaping, Lawn Service, and Groundskeeping Workers
• Tree Trimmers and Pruners
• Agricultural Equipment Operators

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.

Gardeners, Horticultural and Nursery Growers sit at the 29th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Gardeners, Horticultural and Nursery Growers rank in the 29th 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 rose by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Promoting and marketing products, arranging the sale, purchase and transportation of produce and supplies, and maintaining and evaluating records of activities and transactions;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Gardeners, Horticultural and Nursery Growers". https://singulariki.com/gradient/6113-gardeners-horticultural-and-nursery-growers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.