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Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

53.0%

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

Soil and Plant Scientists

They study soil and plants to understand how to grow crops better and keep the environment healthy.

Summary

This career is labeled as "Evolving" because AI is increasingly used to handle routine tasks like analyzing soil data and spotting plant diseases, making field work more precise and efficient. However, human scientists are still crucial for designing experiments and creating new solutions, as AI can't match human creativity and judgement.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info

Summary

This career is labeled as "Evolving" because AI is increasingly used to handle routine tasks like analyzing soil data and spotting plant diseases, making field work more precise and efficient. However, human scientists are still crucial for designing experiments and creating new solutions, as AI can't match human creativity and judgement.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

66.7%

66.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

35.7%

35.7%

Anthropic's Economic Index

Evolving iconEvolving

34.9%

34.9%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

92.0%

92.0%

Medium Demand

Labor Market Outlook

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

Learn about this score

Growth Rate (2024-34):

5.4%

Growth Percentile:

76.1%

Annual Openings:

1.7

Annual Openings Pct:

18.9%

Analysis of Current AI Resilience

Soil and Plant Scientists

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Soil and plant scientists already use AI tools to help with routine tasks. For example, smart sensors and satellite images feed data into computer programs that predict soil needs and suggest exactly how much water or fertilizer to use [1] [1]. Cameras and drones with AI can spot plant diseases or weeds early, giving farmers quick warnings [2] [3].

There are even robotic “weeders” that use AI vision to find and remove weeds without spraying chemicals [3]. These systems make field work more precise and efficient.

However, many jobs still need human scientists. No AI can yet replace a person designing new crop experiments or inventing a new soil treatment. In other words, today AI augments (helps) scientists by handling data and scans, but people still make the key decisions.

Human skills like creativity, judgement, and understanding of local climate remain crucial to interpret AI’s results and adapt solutions to each farm [1] [2].

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AI Adoption

AI Adoption

Using AI in soil science can boost efficiency, but adoption varies. Precision tools (sensors, GPS machines, robots) can save water, fertilizer and labor [4] [5]. The U.S. government sees this promise – agencies have invested hundreds of millions of dollars to help farmers use AI agriculture tools [4].

Still, only about 27% of U.S. farms currently use advanced precision tech [4]. Cost is one reason: new robots and data systems are expensive, especially for small farms.

Other barriers are social and technical. Many farms lack fast internet or training, making it hard to use AI tools [2]. Trust is also key.

Studies find that farmers accept AI more when they trust the scientists behind it [6], and some worry about data privacy or job loss [6]. In the end, experts expect AI to grow as a helpful partner for soil scientists rather than a replacement. Machines can do precise scans and number-crunching, but people will still plan experiments and understand nature.

For students worried about AI, the outlook is hopeful: tech will change the job, but creative problem-solving and real-world know-how will always be valuable in farming science.

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More Career Info

Career: Soil and Plant Scientists

Employment & Wage Data

Median Wage

$71,410

Jobs (2024)

20,700

Growth (2024-34)

+5.4%

Annual Openings

1,700

Education

Bachelor'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

65% ResilienceCore Task

Communicate research or project results to other professionals or the public or teach related courses, seminars, or workshops.

2

65% ResilienceCore Task

Investigate responses of soils to specific management practices to determine the use capabilities of soils and the effects of alternative practices on soil productivity.

3

65% ResilienceCore Task

Conduct experiments to develop new or improved varieties of field crops, focusing on characteristics such as yield, quality, disease resistance, nutritional value, or adaptation to specific soils or c...

4

65% ResilienceCore Task

Conduct experiments investigating how soil forms, changes, or interacts with land-based ecosystems or living organisms.

5

65% ResilienceCore Task

Develop environmentally safe methods or products for controlling or eliminating weeds, crop diseases, or insect pests.

6

65% ResilienceCore Task

Investigate responses of soils to specific management practices to determine the effects of alternative practices on the environment.

7

65% ResilienceSupplemental

Provide advice regarding the development of regulatory standards for land reclamation or soil conservation.

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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