Somewhat Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

47.6%

Median Score

Meaningful human contribution

High

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Low-medium

Contributing sources

AI Resilience Report forGrounds Maintenance Workers, All Other

Grounds Maintenance Workers, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 3 sources.

Grounds maintenance work is "Somewhat Resilient" because while AI-powered mowers are already handling the repetitive mowing tasks that used to eat up most of a crew's time, plenty of the job still genuinely needs a human touch — think trimming, pruning, planting, and making a property look its best. The real shift happening here is that workers are becoming supervisors and skilled finishers rather than just doing the same laps over and over, which means the job is changing more than it's disappearing.

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This role is somewhat resilient

Grounds maintenance work is "Somewhat Resilient" because while AI-powered mowers are already handling the repetitive mowing tasks that used to eat up most of a crew's time, plenty of the job still genuinely needs a human touch — think trimming, pruning, planting, and making a property look its best. The real shift happening here is that workers are becoming supervisors and skilled finishers rather than just doing the same laps over and over, which means the job is changing more than it's disappearing.

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Analysis of Current AI Resilience

Grounds Maintenance Worker

Updated Quarterly • Last Update: 5/14/2026

Analysis
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State of Automation

How is AI changing Grounds Maintenance Worker jobs?

If you've ever pushed a mower around in summer heat, you'll get why this field is leaning hard into robots. Autonomous mowers have moved from a curiosity to an everyday tool, and the National Association of Landscape Professionals reports [1] that one Florida company can now have two crew members spend just 30 minutes string-trimming, edging, and blowing a half-acre property while the robot mows — work that previously took two people two hours. The mowers themselves are getting smarter, too: Landscape Management explains [2] they now use GPS with real-time kinematic positioning, cameras, computer vision, lidar, and centralized dashboards so a single technician can supervise multiple machines.

AI is also creeping into the back office for scheduling, estimating, and even AI-powered phone screening of job candidates, though NALP notes [1] that owners say it has not replaced field roles — it mostly delays the need for that "one extra person."

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AI Adoption

How fast is AI adoption growing for Grounds Maintenance Worker?

Adoption is speeding up because the math works. The U.S. Bureau of Labor Statistics [3] lists about 1.3 million grounds maintenance jobs with roughly 171,600 openings projected each year, and rising wages plus a chronic labor shortage are pushing companies to automate the repetitive mowing hours. The AI Insider [4] notes that Scythe, Graze, John Deere, Toro, and Husqvarna are all shipping commercial AI-driven electric mowers, with payback periods of about 18–24 months according to NALP interviews.

What may slow things down is terrain complexity, weather, equipment cost, and the simple fact that string trimming, planting, pruning, and customer interaction still need humans. Encouragingly, BCG's April 2026 analysis [5] finds AI is far more likely to reshape jobs than eliminate them, and groundskeeping is a great example — the mower handles the boring laps so you can focus on the skilled, creative outdoor work that makes a property look amazing.

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More Career Info

Career: Grounds Maintenance Workers, All Other

They keep outdoor spaces looking neat and tidy by mowing lawns, trimming bushes, and maintaining gardens.

Employment & Wage Data

Median Wage

$43,410

Jobs (2024)

14,100

Growth (2024-34)

+2.4%

Annual Openings

1,900

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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