Will AI replace First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers?

Directly supervise and coordinate activities of workers engaged in landscaping or groundskeeping activities. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 37-1012.00 · modeled exposure, not guaranteed job loss

LOW TASK EXPOSURE

24%

Estimated share of representative tasks exposed to current AI capabilities.

Category#

Trades & Physical

Field & Physical

Modeled pay midpoint$

$83,300/yr

Directional estimate — verify locally

Time until impact⌁

6–10+ years

Earliest 2032 · widespread 2036+

Task-level replaceability ⓘ

Representative tasks ranked from highest to lowest AI exposure.

◇Establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety.34%

⚙Schedule work for crews, depending on work priorities, crew or equipment availability, or weather conditions.26%

✦Physical dexterity in unpredictable settings26%

✦Safety responsibility and on-site judgment22%

▥Tour grounds, such as parks, botanical gardens, cemeteries, or golf courses, to inspect conditions of plants and soil.17%

Impact timeline ⓘ

How AI assistance may move from early support to wider adoption.

2032Next2036+

Light supportAI provides limited help with establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety..

AugmentationTools improve productivity without owning outcomes.

Human-ledCore work stays anchored in physical dexterity in unpredictable settings.

6–10+ yearsdirectional confidence window

HOW AI CHANGES THIS JOBtyping the logic in plain English

01>Start with the real work done by First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers.

02>AI can help with: Establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety.

03>If a task is repetitive and easy to check, AI pressure goes up.

04>But a person is still needed for: Physical dexterity in unpredictable settings.

05>Likely result: AI mostly acts as a helper while the core job stays human-led.

06>Important: 24% is estimated task exposure—not a 24% chance of losing the job.

What AI can do

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

Schedule work for crews, depending on work priorities, crew or equipment availability, or weather conditions.LOW MATCH

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

How estimates work →

Your human moat

◆

Physical dexterity in unpredictable settings

MEDIUM-HIGH

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength8.3

Similar-role comparison

RoleRisk

First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers24%

Agricultural Inspectors24%

Fallers24%

Automotive Mechanic25%

Why this score?

✓The model evaluates 3 representative core tasks.

✓The core work depends on presence, dexterity, or accountability.

✓Occupation and task language comes from O*NET 30.3.

✓The strongest human advantage is physical dexterity in unpredictable settings.

Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →

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Will AI replace First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers?

Physical dexterity in unpredictable settings

Why this score?

Related Trades & Physical job reports