59
/100

SOC 45-2091

Agricultural Equipment Operators

ElevatedFrey/Osborne: 87.0%

Risk Score

โš ๏ธ

59/100

Elevated

US Employment

๐Ÿ‘ฅ

30,940

Total workers

Median Wage

๐Ÿ’ฐ

$43K

$31K โ€“ $58K

Projected Growth

๐Ÿ“ˆ

+7.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

34/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Agricultural Equipment Operators face a risk score of 59/100 โ€” 15 points above the national average of 44. With only 34/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $43K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 59/100, Agricultural Equipment Operators faces moderate automation pressure. While tasks like drone crop monitoring and precision spraying are increasingly handled by AI, the role retains significant human elements. The 30,940 workers in this occupation should focus on strengthening skills in adapting to variable weather and terrain conditions and sustainable land management judgment calls to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Agricultural Equipment Operators?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Drone crop monitoring and precision spraying

2

AI-driven irrigation and soil analysis systems

3

Satellite and sensor-based yield prediction models

4

Robotic sorting and packing of produce

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting to variable weather and terrain conditions

โœ“

Sustainable land management judgment calls

โœ“

Assessing crop health through hands-on field inspection

โœ“

Managing livestock behavior and welfare

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Load and unload crops or containers of materials, manually or using conveyors, handtrucks, forklifts, or transfer augers.

โ€ข

Mix specified materials or chemicals, and dump solutions, powders, or seeds into planter or sprayer machinery.

โ€ข

Spray fertilizer or pesticide solutions to control insects, fungus and weed growth, and diseases, using hand sprayers.

โ€ข

Observe and listen to machinery operation to detect equipment malfunctions.

โ€ข

Manipulate controls to set, activate, and adjust mechanisms on machinery.

๐Ÿ’ป Technology Skills

โ€ข

Enterprise resource planning ERP software

โ€ข

Map creation software

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

โ€ข

Presentation software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Mathematics

โ€ข

Transportation

๐Ÿ“Š vs National Average

Median Wage$43K
$-4K

National avg: $46K

Risk Score59/100
+15

National avg: 44/100

GenAI Exposure34/100
-4

National avg: 38/100

Projected Growth7.7%
+4.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K61%
Occupational Health and Safety Specialists and Technicians26$79K51%
Industrial-Organizational Psychologists27$110K69%