Mostly Resilient

Last Update: 5/19/2026

AI Resilience Score for Landscaping Supervisors:

53.8%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

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

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. 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 landscaping supervisors, all seven sources had data and aligned reasonably well. AI exposure came in low to medium across sources, with AI Resilience Model and Will Robots Take My Job leaning low while Anthropic and Microsoft saw moderate exposure. Demand signals were steady, but wage and mobility data pulled the economic score down, settling this role at "Mostly Resilient" with high confidence.

AI Resilience Report forFirst-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers

$56,170 median salary23,200 annual openingsSOC Code: 37-1012.00

First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.

This career holds up well against AI because the heart of the job — leading a crew, reading a job site, handling unexpected problems, and keeping clients happy — requires human judgment and people skills that robots simply can't replicate. AI and autonomous mowers are definitely changing some of the work, taking over repetitive tasks like mowing open turf so supervisors can focus on the detail work that actually requires experience and decision-making.

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This role is mostly resilient

This career holds up well against AI because the heart of the job — leading a crew, reading a job site, handling unexpected problems, and keeping clients happy — requires human judgment and people skills that robots simply can't replicate. AI and autonomous mowers are definitely changing some of the work, taking over repetitive tasks like mowing open turf so supervisors can focus on the detail work that actually requires experience and decision-making.

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Analysis of Current AI Resilience

Landscaping Supervisors

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Landscaping Supervisors jobs?

Right now, AI is mostly augmenting — not replacing — landscape supervisors. The biggest shift is happening with autonomous mowers. According to a trade publication report, one of the most significant advancements in autonomous mowing is the shift from traditional boundary wires to GPS and real-time kinematic (RTK) technology, along with a sophisticated blend of cameras and computer vision, inertial measurement units, ultrasonic and lidar sensors, and precision mapping.

These machines now travel with crews from site to site as "your next team member" [1], letting supervisors deploy people on detail work while a robot handles open turf. A May 2026 industry analysis [2] notes the industry is moving from "rule-based automation" to spatially intelligent systems using AI vision and RTK positioning.

Supervisors' administrative tasks are also being augmented. NALP's 2026 report found that 62% of commercial landscape companies are using seven or more software systems, with the most common being accounting, invoicing, estimating, marketing automation, payroll, GPS tracking, and end-to-end business management. AI design tools are also gaining traction — though industry experts emphasize that contractors "need AI to be a helper, not a doer" [1], assisting with imaging, CAD drawings, and estimates rather than running the job.

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AI Adoption

How fast is AI adoption growing for Landscaping Supervisors?

Adoption pressure is strong but uneven. The U.S. Bureau of Labor Statistics projects [3] about 171,600 grounds-maintenance openings per year through 2034 — a chronic labor gap that pushes employers toward automation. NALP's survey confirms this: 54% cite recruiting and retaining staff as a major business risk, and 70% plan to raise wages, while the top reasons companies change software are to automate workflows (58%) and improve operational efficiency (51%).

Still, full adoption will be slow. Commercial autonomous mowers cost tens of thousands of dollars, and the work itself is messy, weather-exposed, and unpredictable — areas where humans still excel. The World Economic Forum's outlook [4] projects a net 78 million new roles by 2030 even as 22% of jobs change structurally, with human-centered skills remaining highly valued.

That's good news for you: supervisors who can lead crews, talk with clients, troubleshoot equipment, and learn new software will likely become more valuable, not less. The robot can mow the lawn, but it can't mentor a new hire, calm an upset homeowner, or decide what to do when a storm flattens a job site.

Sources

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Will AI replace Landscaping Supervisors?

Will AI replace Landscaping Supervisors?

No. We don't think AI will replace First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers, though we do expect the job to change.

Our scorecard gives this role a 53.8% AI Resilience Score, and we think that's about right. The biggest shift happening now is autonomous mowing technology. GPS, computer vision, and precision mapping let robotic mowers travel with crews and handle open turf on their own [1], freeing supervisors to focus on detail work and client relationships. Administrative tasks are also being automated, with most commercial landscape companies now running seven or more software platforms for scheduling, payroll, and estimating [1]. AI is a real presence here, but it's augmenting the supervisor, not replacing them.

What stays human is the core of the job: leading a crew through an unpredictable day, calming a frustrated client, deciding what to do when a storm changes everything on site. Robots can mow, but they can't mentor. The labor shortage is also working in supervisors' favor. The BLS projects roughly 171,600 grounds-maintenance openings per year through 2034 [3], and that chronic gap pushes employers to value experienced humans who can manage both people and new technology. The World Economic Forum projects net job growth even as roles shift structurally [4]. Supervisors who learn the tools will likely find themselves more valuable, not less.

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Latest AI news for Landscaping Supervisors

These articles highlight the evolving role of AI in landscaping, emphasizing how it can enhance the effectiveness of First-Line Supervisors. For instance, AI automates routine tasks and improves route planning, allowing supervisors to focus on quality service delivery. Additionally, AI's ability to analyze data on soil and weather patterns empowers supervisors to make informed decisions. This integration of technology not only addresses labor shortages but also creates new opportunities, showcasing the resilience of this career path in an increasingly automated industry.

More Career Info

Career: First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers

They oversee teams that maintain and beautify outdoor spaces, ensuring tasks like mowing and planting are done correctly and safely.

Employment & Wage Data

Median Wage

$56,170

Jobs (2024)

224,700

Growth (2024-34)

+2.3%

Annual Openings

23,200

Education

High school diploma or equivalent

Experience

Less than 5 years

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

95% ResilienceSupplemental

Tour grounds, such as parks, botanical gardens, cemeteries, or golf courses, to inspect conditions of plants and soil.

2

93% ResilienceCore Task

Inventory supplies of tools, equipment, or materials to ensure that sufficient supplies are available and items are in usable condition.

3

92% ResilienceCore Task

Plant or maintain vegetation through activities such as mulching, fertilizing, watering, mowing, or pruning.

4

90% ResilienceCore Task

Direct activities of workers who perform duties such as landscaping, cultivating lawns, or pruning trees and shrubs.

5

90% ResilienceCore Task

Perform administrative duties, such as authorizing leaves or processing time sheets.

6

85% ResilienceCore Task

Establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety.

7

85% ResilienceCore Task

Review contracts or work assignments to determine service, machine, or workforce requirements for jobs.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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