Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

56.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Agricultural Technicians

They help improve farming by testing soil, studying crops, and using technology to boost plant growth and health.

This role is evolving

The career of an agricultural technician is labeled as "Evolving" because AI is gradually being integrated into many of the routine tasks, like using digital tools in labs and smart sensors in fields. While these technologies can make work more efficient and sustainable, they don't replace the need for human skills such as flexible thinking and training others.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

The career of an agricultural technician is labeled as "Evolving" because AI is gradually being integrated into many of the routine tasks, like using digital tools in labs and smart sensors in fields. While these technologies can make work more efficient and sustainable, they don't replace the need for human skills such as flexible thinking and training others.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

57.9%

57.9%

Anthropic's Observed Exposure

AI Resilience

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Stable iconStable

99.6%

99.6%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

40.4%

40.4%

Althoff & Reichardt

Economic Growth

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Evolving iconEvolving

35.2%

35.2%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

4.3%

Growth Percentile:

66.2%

Annual Openings:

2,900

Annual Openings Pct:

29.0%

Analysis of Current AI Resilience

Agricultural Technicians

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Many routine tasks of an agricultural technician are partly aided by machines today. For example, labs now use digital scales, mixing robots and sensors to help measure and log samples, which saves time and improves consistency [1] [2]. Likewise, farms install smart sensors in fields that automatically record data on soil moisture, weather or plant health, and send it to computers for analysis [2].

In pest control, AI-powered robots are already being tested. Small autonomous “weeders” with cameras can drive through fields, spot weeds, and spray or remove them one by one [3] [4]. These systems cut herbicide use by treating only weeds, not the whole crop.

However, jobs that need flexible thinking or people skills – like training workers or answering questions – are still done by humans. Experts point out that despite new tools, many lab protocols “remain heavily reliant” on people [1]. Even in research, scholars note dozens of studies on AI in farming (over 150 in one review) but say machines cover only certain steps in planting, monitoring and harvesting [5] [3].

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AI Adoption

AI in the real world

Whether farms and labs rush to use AI often depends on cost, benefits and practicality. New equipment (drones, robots, smart sensors) can be expensive, so big farms and research centers are more likely to try them first [1] [3]. On the plus side, these tools promise big gains: for example, robotic weeders can improve efficiency and sustainability by cutting chemical use [3].

Also, global pressures – like the need to grow 70% more food by 2050 as population rises – push companies to adopt technology [2] [3]. On the downside, many farmers lack reliable internet or data support in fields, which makes AI hard to use. Some worry about learning new tech or losing jobs.

In short, adoption is a balance: AI is in fact available, but high upfront cost and training slow it down [1] [2]. Over time, however, clear benefits (higher yields, less drudgery and safer practices) are likely to bring more AI tools into agriculture.

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More Career Info

Career: Agricultural Technicians

Employment & Wage Data

Median Wage

$46,790

Jobs (2024)

18,600

Growth (2024-34)

+4.3%

Annual Openings

2,900

Education

Associate's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% ResilienceSupplemental

Perform general nursery duties, such as propagating standard varieties of plant materials, collecting and germinating seeds, maintaining cuttings of plants, or controlling environmental conditions.

2

75% ResilienceCore Task

Respond to general inquiries or requests from the public.

3

75% ResilienceSupplemental

Assess comparative soil erosion from various planting or tillage systems, such as conservation tillage with mulch or ridge till systems, no-till systems, or conventional tillage systems with or withou...

4

70% ResilienceCore Task

Supervise or train agricultural technicians or farm laborers.

5

70% ResilienceSupplemental

Transplant trees, vegetables, or horticultural plants.

6

65% ResilienceCore Task

Supervise pest or weed control operations, including locating and identifying pests or weeds, selecting chemicals and application methods, or scheduling application.

7

60% ResilienceCore Task

Examine animals or crop specimens to determine the presence of diseases or other problems.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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