This role faces substantial automation risk. Many tasks are repetitive or data-driven, making them prime candidates for AI replacement. Proactive career planning is strongly recommended.
Agricultural Laborer / Farm Worker faces a 78% AI displacement risk. Workers who don't adapt to AI tools face significant career disruption. The median salary is $35,980, with AI projected to shift compensation by +5%. Our analysis covers timeline, adaptation strategies, and skills that remain valuable.
Source: What About AI? Career Assessment ·
Agriculture, Environmental & Natural Resources
AI isn't replacing jobs—people using AI are replacing people who don't
What this means: Most workers in this field will need AI skills to stay competitive. Those who learn now will have a significant advantage over those who wait.
Complete job elimination risk
When major changes expected
Primary automation technology
Analysis updated February 2026
"Our goal is to have a fully autonomous corn and soy production system by the end of the decade, but we see technology augmenting farmworkers rather than replacing them outright."
This role faces substantial automation risk. Many tasks are repetitive or data-driven, making them prime candidates for AI replacement. Proactive career planning is strongly recommended.
Physical agricultural labor remains difficult to automate due to unstructured outdoor environments. AI-powered robotics are advancing in harvesting and weeding but remain expensive and limited to specific crops. Wages may rise as labor shortages persist alongside gradual automation.
AI-driven precision agriculture tools for targeted spraying, soil monitoring, and crop scouting will become standard on mid-to-large farms, reducing manual scouting labor
Source: World Economic Forum
Fully autonomous use cases across orchards and vineyards delivering over $400 per acre per year in value, with autonomous tractors handling planting and tillage on row crops
Source: McKinsey & Company
Physical agricultural labor will be among the last occupations fully displaced by AI due to unstructured environments, with only 3-7% of farm labor roles fully automatable in the near term
Source: Goldman Sachs
See & Spray technology uses computer vision and ML to identify individual weeds and spray them directly, saving farmers an estimated 8 million gallons of herbicide mix on over 1 million acres in the 2024 growing season
Joint venture combining precision agriculture hardware, AI-driven decision support, and cloud-based farm management platforms serving mixed-fleet operations across tractor brands
Lower-risk roles that leverage your existing skills
Similar manual labor skill requirements with seasonal farm workers specializing in peak harvest and planting periods
Natural career progression as laborers gain technical skills in precision agriculture equipment and data-driven farming methods
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