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AI Work Index

Headline risk

2%

Very Low Risk

Agricultural technicians

United States AI Work IndexISCO 1120major_group_fallback

United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.

18.6 current · 19.4 projectedConfidence high

Why This Score

Tasks 100%

Share of job tasks that overlap with current AI capabilities

Wage $47K

Median annual wage

Demand 4%

Projected employment change over 10 years

Preparation Zone 3

Typical preparation needed for this occupation

Occupation profile

Work with agricultural scientists in plant, fiber, and animal research, or assist with animal breeding and nutrition. Set up or maintain laboratory equipment and collect samples from crops or animals. Prepare specimens or record data to assist scientists in biology or related life science experiments. Conduct tests and experiments to improve yield and quality of crops or to increase the resistance of plants and animals to disease or insects.

Task evidence

100% weighted task match · 1% effective coverage

Scores combine AI task overlap, human advantages, and local demand. How it works

United States Now

Median Wage

USD 46,790

Employment 2024

18.6K

Projected Change (2024–34)

4.3%

Openings (2024–34)

2.9K

Wage distribution

Bottom 10%: USD 32,86025th pctl: USD 38,480Median: USD 46,79075th pctl: USD 59,370Top 10%: USD 69,010

Demand outlook

Overall employment of agricultural and food science technicians is projected to grow 5 percent from 2024 to 2034, faster than the average for all occupations.

Education: Associate's degree Experience: None

Role Profile

Detail orientedAdaptabilityWriting and reading

Tasks

  • 1. Document and maintain records of precision agriculture information. AI use: 0%
  • 2. Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS). AI use: 0%
  • 3. Use geospatial technology to develop soil sampling grids or identify sampling sites for testing characteristics such as nitrogen, phosphorus, or potassium content, pH, or micronutrients. AI use: 0%
  • 4. Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials. AI use: 0%
  • 5. Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history. AI use: 0%
  • 6. Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions. AI use: 0%

Technologies

Microsoft ExcelMicrosoft Office softwareESRI ArcGIS softwareMicrosoft AccessMicrosoft OutlookMicrosoft PowerPoint

Requirements

Telework: 13.7%Telework: 86.3%License required: 33.3%License required: 66.7%

Work context

Telephone Conversations 4.9/5
E-Mail 4.8/5
Face-to-Face Discussions with Individuals and Within Teams 4.6/5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.5/5
Face-to-Face Discussions with Individuals and Within Teams 4.5/5
Contact With Others 4.3/5

Worker profile

Median age 43.1 · 55K employed

Under 25: 4% · 25–54: 75% · 55+: 22%

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