# Buyers and Purchasing Agents, Farm Products

> Purchase farm products either for further processing or resale. Includes tree farm contractors, grain brokers and market operators, grain buyers, and tobacco buyers. May negotiate contracts.

- **SOC code:** 13-1021.00
- **Canonical URL:** https://singulariki.com/roles/role-13-1021-00
- **Also known as:** Buyer, Grain Buyer, Grain Merchandiser, Purchasing Agent, Grain Origination Specialist, Tobacco Buyer, Agriculture Industry Coordinator, Agriculture Industry Specialist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Purchase, for further processing or for resale, farm products, such as milk, grains, or Christmas trees.
- Arrange for processing or resale of purchased products.
- Negotiate contracts with farmers for the production or purchase of farm products.
- Arrange for transportation or storage of purchased products.
- Maintain records of business transactions and product inventories, reporting data to companies or government agencies as necessary.
- Review orders to determine product types and quantities required to meet demand.
- Examine or test crops or products to estimate their value, determine their grade, or locate any evidence of disease or insect damage.
- Coordinate or direct activities of workers engaged in cutting, transporting, storing, or milling products and maintaining records.
- Sell supplies, such as seed, feed, fertilizers, or insecticides, arranging for loans or financing as necessary.
- Advise farm groups or growers on land preparation or livestock care techniques that will maximize the quantity and quality of production.
- Calculate applicable government grain quotas.
- Estimate land production possibilities, surveying property and studying factors such as crop rotation history, soil fertility, or irrigation facilities.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Oral Expression _(ability)_
- Mathematics _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Transportation _(knowledge)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Economics and Accounting _(knowledge)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Sales and Marketing _(knowledge)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- English Language _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Negotiation _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- SAP software _(hot technology, in demand)_
- Amazon Web Services AWS software _(hot technology)_
- Atlassian JIRA _(hot technology)_
- Google Angular _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Project _(hot technology)_
- Oracle Database _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 83rd percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 66th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **Frey–Osborne (2013, historical computerization estimate):** 74th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-13-1021-00_