47
/100

SOC 17-2021

Agricultural Engineers

ElevatedFrey/Osborne: 49.0%

Risk Score

โš ๏ธ

47/100

Elevated

US Employment

๐Ÿ‘ฅ

1,680

Total workers

Median Wage

๐Ÿ’ฐ

$85K

$43K โ€“ $133K

Projected Growth

๐Ÿ“ˆ

+5.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Agricultural Engineers face a risk score of 47/100 โ€” 3 points above the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $85K ($38K above the national median). 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 47/100, Agricultural Engineers faces moderate automation pressure. While tasks like ai-optimized manufacturing process design are increasingly handled by AI, the role retains significant human elements. The 1,680 workers in this occupation should focus on strengthening skills in safety-critical judgment in design review and novel engineering design for unprecedented challenges to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Agricultural Engineers?

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

โš ๏ธ Top Risk Factors

1

AI-optimized manufacturing process design

2

Automated data interpretation and insight generation

3

Simulation and digital twin automation

4

AI summarization replacing manual report compilation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Safety-critical judgment in design review

โœ“

Novel engineering design for unprecedented challenges

โœ“

Client communication and technical consultation

โœ“

On-site problem-solving in variable physical conditions

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

Prepare reports, sketches, working drawings, specifications, proposals, and budgets for proposed sites or systems.

โ€ข

Visit sites to observe environmental problems, to consult with contractors, or to monitor construction activities.

โ€ข

Meet with clients, such as district or regional councils, farmers, and developers, to discuss their needs.

โ€ข

Discuss plans with clients, contractors, consultants, and other engineers so that they can be evaluated and necessary changes made.

โ€ข

Test agricultural machinery and equipment to ensure adequate performance.

๐Ÿ’ป Technology Skills

โ€ข

Desktop publishing software

โ€ข

Graphics or photo imaging software

โ€ข

Computer aided design CAD software

โ€ข

Enterprise resource planning ERP software

โ€ข

Geographic information system

๐ŸŽ“ Key Knowledge Areas

โ€ข

Engineering and Technology

โ€ข

Computers and Electronics

โ€ข

Design

โ€ข

Mathematics

โ€ข

Physics

๐Ÿ“Š vs National Average

Median Wage$85K
+$38K

National avg: $46K

Risk Score47/100
+3

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth5.9%
+2.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K84%
Social Scientists and Related Workers21$93K57%
Architects, Except Landscape and Naval29$97K81%