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Will AI replace Landscaping and Groundskeeping Workers?

Landscape or maintain grounds of property using hand or power tools or equipment. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 37-3011.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
32%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
32%Automatable
Automatable32%
Augmentable37%
Hard to automate31%
Based on analysis of representative responsibilities and current AI capability maturity.
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.
◇Gather and remove litter.42%
⚙Use hand tools, such as shovels, rakes, pruning saws, saws, hedge or brush trimmers, or axes.31%
✦Physical dexterity in unpredictable settings23%
▥Operate vehicles or powered equipment, such as mowers, tractors, twin-axle vehicles, snow blowers, chainsaws, electric clippers, sod cutters, or pruning saws.19%
✦Safety responsibility and on-site judgment19%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with gather and remove litter..
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 Landscaping and Groundskeeping Workers.
02>AI can help with: Gather and remove litter.
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: 32% is estimated task exposure—not a 32% chance of losing the job.
What AI can do
Gather and remove litter.LOW MATCH
Use hand tools, such as shovels, rakes, pruning saws, saws, hedge or brush trimmers, or axes.LOW MATCH
Operate vehicles or powered equipment, such as mowers, tractors, twin-axle vehicles, snow blowers, chainsaws, electric clippers, sod cutters, or pruning saws.LOW MATCH
How estimates work →
Your human moat
◆

Physical dexterity in unpredictable settings

HIGH MOAT

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

Strength8.8
Similar-role comparison
RoleRisk
Landscaping and Groundskeeping Workers32%
Grounds Maintenance Workers, All Other31%
Logging Equipment Operators33%
Janitors and Cleaners, Except Maids and Housekeeping Cleaners33%
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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 →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Related Trades & Physical job reports

Grounds Maintenance Workers, All Other · 31% exposureLogging Equipment Operators · 33% exposureJanitors and Cleaners, Except Maids and Housekeeping Cleaners · 33% exposure