How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Determine how to allocate resources and to respond to unanticipated problems, such as insect infestation, drought, and fire.73
- Collect and record growth, production, and environmental data.71
- Coordinate clerical, record-keeping, inventory, requisitioning, and marketing activities.70
- Maintain financial, operational, production, or employment records for farms or ranches.70
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Direct and monitor the transfer of mature fish to lakes, ponds, streams, or commercial tanks.01
- Direct and monitor trapping and spawning of fish, egg incubation, and fry rearing, applying knowledge of management and fish culturing techniques.02
- Inspect facilities and equipment for signs of disrepair, and perform necessary maintenance work.03
- Manage nurseries that grow horticultural plants for sale to trade or retail customers, for display or exhibition, or for research.04
- Determine plant growing conditions, such as greenhouses, hydroponics, or natural settings, and set planting and care schedules.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Soil and Plant Scientists
Closely related work
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
