AI JOB RISK SCANNER
O*NET-SOC 19-4012.01 / model V11 rated-task engine

Will AI replace
Precision Agriculture Technicians?

Apply geospatial technologies, including geographic information systems (GIS) and Global Positioning System (GPS), to agricultural production or management activities, such as pest scouting, site-specific pesticide application, yield mapping, or variable-rate irrigation. May use computers to develop or analyze maps or remote sensing images to compare physical topography with data on soils, fertilizer, pests, or weather.

Estimated AI task exposure
71%

High exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

22 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

80/100

Physical moat

44/100

Human moat

25/100

Rating coverage

100%

22 task statements / 22 rated

Highest-weighted occupation tasks

Document and maintain records of precision agriculture information.
Importance 82/100Relevance 100/100Frequency 62/100Weight 0.84
Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS).
Importance 80/100Relevance 100/100Frequency 49/100Weight 0.80
Identify spatial coordinates, using remote sensing and Global Positioning System (GPS) data.
Importance 75/100Relevance 100/100Frequency 54/100Weight 0.79
Create, layer, and analyze maps showing precision agricultural data, such as crop yields, soil characteristics, input applications, terrain, drainage patterns, or field management history.
Importance 76/100Relevance 100/100Frequency 51/100Weight 0.79
Analyze geospatial data to determine agricultural implications of factors such as soil quality, terrain, field productivity, fertilizers, or weather conditions.
Importance 76/100Relevance 100/100Frequency 48/100Weight 0.78
Divide agricultural fields into georeferenced zones, based on soil characteristics and production potentials.
Importance 78/100Relevance 100/100Frequency 44/100Weight 0.78
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.
Importance 79/100Relevance 100/100Frequency 41/100Weight 0.77
Compare crop yield maps with maps of soil test data, chemical application patterns, or other information to develop site-specific crop management plans.
Importance 76/100Relevance 100/100Frequency 42/100Weight 0.77
Analyze data from harvester monitors to develop yield maps.
Importance 74/100Relevance 100/100Frequency 41/100Weight 0.75
Apply precision agriculture information to specifically reduce the negative environmental impacts of farming practices.
Importance 73/100Relevance 100/100Frequency 42/100Weight 0.75

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$49,630

BLS OEWS May 2025

National employment

15,130

BLS OEWS May 2025

Projected growth

+5.4%

BLS Employment Projections 2025–2035

Average annual openings

3

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

  • routine information gathering
  • first-pass document drafting
  • standard reporting and summarization
  • repeatable administrative workflows

AUGMENT

  • research and analysis
  • quality checking AI-generated work
  • decision preparation
  • scenario generation

PROTECT

  • domain expertise
  • exception handling
  • accountability for outcomes

LEARN

  • AI-assisted research
  • workflow automation
  • data literacy
  • prompt and workflow design
  • AI output verification

AI-PROOFING RESOURCES

What this score does not mean

The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

New in V11

Find a Safer Career Path

High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

EXPLORE CAREER ALTERNATIVES
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