Will AI replace Agricultural Workers, All Other?

All agricultural workers not listed separately. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 45-2099.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
28%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
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Task automation shareⓘ
28%Automatable
Automatable28%
Augmentable40%
Hard to automate32%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Trades & Physical
Field & Physical
Modeled pay midpoint$
$90,500/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Organize role-specific information and routine work38%
⚙Prepare standard outputs and records29%
✦Physical dexterity in unpredictable settings24%
✦Safety responsibility and on-site judgment20%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with organize role-specific information and routine work.
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in physical dexterity in unpredictable settings.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Agricultural Workers, All Other.
02>AI can help with: Organize role-specific information and routine work.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Physical dexterity in unpredictable settings.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 28% is estimated task exposure—not a 28% chance of losing the job.
What AI can do
Organize role-specific information and routine workLOW MATCH
Prepare standard outputs and recordsLOW MATCH
How estimates work →
Your human moat
◆

Physical dexterity in unpredictable settings

HIGH MOAT

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength8.8
Similar-role comparison
RoleRisk
Agricultural Workers, All Other28%
Plumber28%
Pest Control Workers29%
Forest and Conservation Workers29%
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Why this score?

✓The model evaluates 2 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is physical dexterity in unpredictable settings.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

Explore safer adjacent careers

These roles are in Trades & Physical and have lower modeled task exposure. Transferability depends on your skills, location, and qualifications.

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