Conduct educational programs that provide farmers or farm cooperative members with information that can help them improve agricultural productivity.
Work task
“Conduct educational programs that provide farmers or farm cooperative members with information that can help them improve agricultural productivity.” is a core task performed by Agricultural Engineers. Among the occupation's 14 rated tasks, workers place it 5th by importance (#10 most important). About 90% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T1.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 0.014% share of AI-use records mapped to this task
- 26% of that use is work-related
- Most common interaction: directive
- Average autonomy of the AI: 3.6 (1–5; higher = more autonomous)
- 97% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Working with AI vs. handing it off
Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.
How people interact with AI on this task
| Interaction pattern | Share | % | What it means |
|---|---|---|---|
| directive | 34% | you give the instruction; AI produces a finished result | |
| learning | 29% | you ask AI to explain or teach you | |
| task iteration | 24% | you and AI go back and forth on the work |
Other tasks in this occupation
- Prepare reports, sketches, working drawings, specifications, proposals, and budgets for proposed sites or systems. · importance 4.0
- Visit sites to observe environmental problems, to consult with contractors, or to monitor construction activities. · importance 3.9
- Meet with clients, such as district or regional councils, farmers, and developers, to discuss their needs. · importance 3.8
- Discuss plans with clients, contractors, consultants, and other engineers so that they can be evaluated and necessary changes made. · importance 3.6
- Design food processing plants and related mechanical systems. · importance 3.6
- Test agricultural machinery and equipment to ensure adequate performance. · importance 3.6
- Plan and direct construction of rural electric-power distribution systems, and irrigation, drainage, and flood control systems for soil and water conservation. · importance 3.6
- Provide advice on water quality and issues related to pollution management, river control, and ground and surface water resources. · importance 3.6
- Design structures for crop storage, animal shelter and loading, and animal and crop processing, and supervise their construction. · importance 3.6
- Design sensing, measuring, and recording devices, and other instrumentation used to study plant or animal life. · importance 3.5
- Design agricultural machinery components and equipment, using computer-aided design (CAD) technology. · importance 3.4
- Supervise food processing or manufacturing plant operations. · importance 3.4
- Design and supervise environmental and land reclamation projects in agriculture and related industries. · importance 3.3
See all tasks on the Agricultural Engineers page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Conduct educational programs that provide farmers or farm cooperative members with information that can help them improve agricultural productivity.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-5330
Singulariki. (2026). Conduct educational programs that provide farmers or farm cooperative members with information that can help them improve agricultural productivity.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-5330
@misc{singulariki-task-5330,
title = {Conduct educational programs that provide farmers or farm cooperative members with information that can help them improve agricultural productivity.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-5330}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.