As of June 2026, Agricultural Engineers has an AI-exposure score of 57/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Agricultural Engineers

57/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 54% of the roles we track. Median pay ~US$98,590. About 100 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Apply knowledge of engineering technology and biological science to agricultural problems concerned with power and machinery, electrification, structures, soil and water conservation, and processing of agricultural products.

Common titles
Agricultural EngineerEngineerProject EngineerResearch Agricultural EngineerAgricultural Systems SpecialistConservation Engineer
Typical preparation
Considerable Preparation Needed: Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be...
Skills and knowledge
Reading ComprehensionSpeakingWritingComplex Problem SolvingCritical ThinkingJudgment and Decision Making
Tools and technology
Adobe InDesignAdobe PhotoshopAutodesk AutoCADDassault Systemes SolidWorksMicrosoft AccessMicrosoft Excel
Work context
Email useIndoor controlled settingFace-to-face discussionsTelephoneDecision latitude

Source: O*NET 29.1 exact occupation - Agricultural Engineers, SOC 17-2021.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Agricultural Engineers tasks, by AI exposure

Automatable

No automatable tasks identified for this role — its real, individually-assessed tasks consistently read as augmentable (64%).

Augmentable
  • Conduct educational programs that provide farmers or farm cooperative members with information that can help them improve agricultural productivity.
  • Test agricultural machinery and equipment to ensure adequate performance.
7 more augmentable tasks locked in the report.
Durable
  • Design food processing plants and related mechanical systems.
  • Design agricultural machinery components and equipment, using computer-aided design (CAD) technology.
3 more durable tasks locked in the report.

We analyzed all 14 Agricultural Engineers tasks — 9 augmentable and 5 durable. The full task map — every task with exactly what to do about each — is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

Safer adjacent roles

Precision Agriculture Technicians
80% skills overlap · Elevated exposure · ~US$49,630
62
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Conduct educational programs that provide farmers or farm cooperative members with information that can help them improve agricultural productivity.". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.