Mostly Resilient

Last Update: 10/7/2026

AI Resilience Score for Farming Supervisors:

61.2%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient farming supervisor work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For farming supervisors, six of eight sources had data, with Anthropic and Adaptive Capacity missing. The sources mostly agreed: AI Resilience Model and Microsoft both rated AI exposure as High (meaning the work stays human), while Will Robots Take My Job and OpenAI Signals landed at Medium. Strong pay signals from Wage Bill pushed economic opportunity up, landing this role at "Mostly Resilient" with medium-high confidence.

AI Resilience Report forFirst-Line Supervisors of Farming, Fishing, and Forestry Workers

$59,320 median salary•7,200 annual openings•SOC Code: 45-1011.00

First-Line Supervisors of Farming, Fishing, and Forestry Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

This career earns a "Mostly Resilient" label because the heart of the work, which includes training crews, operating equipment in unpredictable outdoor conditions, and making real-time judgment calls about animals, crops, and forests, is genuinely hard for AI to replicate. Where AI is making the biggest moves is in the more routine, desk-based tasks like managing records, scheduling, and analyzing sensor data, so expect those parts of the job to shrink or get much easier over time.

Learn more about how you can thrive in this position

This role is mostly resilient

This career earns a "Mostly Resilient" label because the heart of the work, which includes training crews, operating equipment in unpredictable outdoor conditions, and making real-time judgment calls about animals, crops, and forests, is genuinely hard for AI to replicate. Where AI is making the biggest moves is in the more routine, desk-based tasks like managing records, scheduling, and analyzing sensor data, so expect those parts of the job to shrink or get much easier over time.

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Analysis of current AI resilience

Farming Supervisors

Updated quarterly

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Latest AI news for Farming Supervisors

These articles highlight the evolving role of First-Line Supervisors in Farming, Fishing, and Forestry due to AI. For instance, monitoring technologies and predictive analytics will enhance resource management, making supervisors more effective rather than redundant. While concerns about job displacement exist, the articles emphasize that AI is more likely to augment rather than replace these roles, fostering resilience in this career path. As technology advances, those in this field can adapt and thrive by embracing these tools to improve productivity and decision-making.

More Career Info

Career: First-Line Supervisors of Farming, Fishing, and Forestry Workers

They oversee workers in farming, fishing, and forestry, making sure tasks are done safely and efficiently while managing schedules and equipment.

Employment & Wage Data

Median Wage

$59,320

Jobs (2025)

57,600

Growth (2025-35)

+3.8%

Annual Openings

7,200

Education

High school diploma or equivalent

Experience

Less than 5 years

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

92% ResilienceCore Task

Treat animal illnesses or injuries, following experience or instructions of veterinarians.

2

88% ResilienceCore Task

Drive or operate farm machinery, such as trucks, tractors, or self-propelled harvesters, to transport workers or supplies or to cultivate or harvest fields.

3

86% ResilienceCore Task

Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment.

4

85% ResilienceCore Task

Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations.

5

85% ResilienceSupplemental

Direct or assist with the adjustment or repair of equipment or machinery.

6

84% ResilienceCore Task

Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures.

7

82% ResilienceCore Task

Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters.

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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