Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

66.7%

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

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.

This role is evolving

This career is labeled as "Evolving" because AI is starting to change how some tasks are done, like scheduling and planning, making them faster and more efficient. However, the most important parts of the job, such as inspecting sites, training workers, and interacting with customers, still need a human touch and can't be replaced by AI.

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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

This career is labeled as "Evolving" because AI is starting to change how some tasks are done, like scheduling and planning, making them faster and more efficient. However, the most important parts of the job, such as inspecting sites, training workers, and interacting with customers, still need a human touch and can't be replaced by AI.

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
Stable iconStable

90.6%

90.6%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

62.1%

62.1%

Anthropic's Economic Index

Evolving iconEvolving

50.5%

50.5%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

73.6%

73.6%

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):

2.3%

Growth Percentile:

44.4%

Annual Openings:

23,200

Annual Openings Pct:

71.0%

Analysis of Current AI Resilience

Landscaping Supervisors

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Today’s landscaping supervisors still mainly rely on people skills, but some tools are helping with routine work. For example, many companies use computer scheduling and GPS software so workers’ addresses and routes are entered automatically [1] [2]. One manager describes how a CRM system now instantly adds new job addresses into the route planner, saving a manual copy step [1].

Others use AI tools like ChatGPT to help do the math (plant spacing, material estimates) or draft project proposals [1]. Industry reports note that 93% of firms use digital tools (accounting, invoicing, scheduling), but only about 17% have tried true AI systems yet [2]. In practice, AI handles mainly back-office tasks.

Core duties – inspecting sites, answering unique customer questions, or training crews – still need human judgment. (For example, government data say supervisors “inspect conditions” and “train workers” on pruning or equipment use [3] [3].) In short, simple data entry and planning can be automated, but the on-site, people-facing parts of the job remain human-led.

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AI Adoption

AI in the real world

New AI tools could boost efficiency, but adoption is slow in landscaping. Many businesses are small with tight budgets, so half of contractors cite cost as the biggest barrier to using AI, and about as many cite lack of time or training to learn new tech [2]. For now most supervisors stick with familiar software or plain spreadsheets.

When AI is used, leaders report real gains – one firm says it can “hire AI instead of another person,” enabling the same crew to handle more work [1]. Early users see smoother scheduling and fewer job delays, improving profits [2]. Experts note that AI today works best as an assistant: it saves time so people can focus on the parts only a human can do (like coaching a team or connecting with clients) [1] [2].

In sum, technology is growing in the green industry, but high costs, training needs, and trust mean human supervisors will still be vital for overseeing crews and solving problems.

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More Career Info

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

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

90% ResilienceCore Task

Provide workers with assistance in performing duties as necessary to meet deadlines.

2

85% ResilienceCore Task

Train workers in tasks such as transplanting or pruning trees or shrubs, finishing cement, using equipment, or caring for turf.

3

85% ResilienceSupplemental

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

4

80% ResilienceCore Task

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

5

80% ResilienceCore Task

Direct or assist workers engaged in the maintenance or repair of equipment, such as power tools or motorized equipment.

6

80% ResilienceCore Task

Answer inquiries from current or prospective customers regarding methods, materials, or price ranges.

7

80% ResilienceSupplemental

Design or supervise the installation of sprinkler systems, calculating water pressure, or valve and pipe coverage needs.

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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