Mostly Resilient

Last Update: 5/19/2026

AI Resilience Score for Landscaping & Groundskeep:

57.2%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient landscaping and groundskeeping 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 and groundskeeping workers, six of seven sources had data (Anthropic had none). On AI exposure, AI Resilience Model and Microsoft both rated it low, but Will Robots Take My Job rated it high, creating a split that pulls confidence to medium. Strong demand and hands-on physical work boost the score, while low pay and mobility pull it down, landing this career at "Mostly Resilient."

AI Resilience Report forLandscaping and Groundskeeping Workers

$38,090 median salary158,200 annual openingsSOC Code: 37-3011.00

Landscaping and Groundskeeping Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Landscaping and groundskeeping is "Mostly Resilient" because so much of the work — planting flowers, pruning shrubs, decorating beds, and reading the unique quirks of each outdoor space — still requires human hands, eyes, and judgment that robots simply can't replicate yet. AI is definitely making its way into the field, especially through autonomous mowers that can handle repetitive cutting on large properties, but that's shifting workers toward more detailed, creative tasks rather than pushing them out the door entirely.

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This role is mostly resilient

Landscaping and groundskeeping is "Mostly Resilient" because so much of the work — planting flowers, pruning shrubs, decorating beds, and reading the unique quirks of each outdoor space — still requires human hands, eyes, and judgment that robots simply can't replicate yet. AI is definitely making its way into the field, especially through autonomous mowers that can handle repetitive cutting on large properties, but that's shifting workers toward more detailed, creative tasks rather than pushing them out the door entirely.

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Analysis of Current AI Resilience

Landscaping & Groundskeep

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Landscaping & Groundskeep jobs?

Right now, the biggest AI changes in landscaping are happening with the mowers themselves, not behind a desk. Industry experts say autonomous mowers have evolved from small, Roomba-like devices into powerful machines capable of handling larger and more complex terrains [1], using GPS, RTK positioning, cameras, computer vision, and LiDAR to navigate around trees, benches, and even pedestrians. Honda recently joined the field with its ProZision autonomous zero-turn riding mower, built for professional-grade commercial use and starting at $32,999 [2].

For facility managers, LiDAR- and AI-equipped mowers handle the repetitive cutting so groundskeepers can shift focus to trimming, edging, and landscape detailing [3]. AI is also helping the office side of the business — software like Bobyard now uses AI to help landscape contractors generate takeoffs and bids faster, winning more jobs [1]. So far, this looks much more like augmentation than replacement: the delicate work of planting flowers, decorating beds, staking trees, and pruning still needs human hands and eyes.

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AI Adoption

How fast is AI adoption growing for Landscaping & Groundskeep?

Adoption is picking up, but slowly and unevenly. The biggest push is a worker shortage — the National Association of Landscape Professionals reports that finding skilled labor remains one of the primary business challenges in the industry [4], making robots an appealing way to stretch crews. One Kress executive told Landscape Management that "the industry is starting to become more open-minded because labor is becoming more of a concern" [1].

On the other hand, costs slow things down: a single commercial autonomous unit can cost tens of thousands of dollars, and small landscape companies often can't pay that upfront. The work itself also resists full automation — yards are messy, uneven, and full of surprises like kids, pets, and decorative stones. That's why the U.S. Bureau of Labor Statistics still projects employment of grounds maintenance workers to grow 4 percent from 2024 to 2034, with about 171,600 openings each year [5].

If you're entering this field, the smart move is to learn the tech — workers who can operate, troubleshoot, and supervise robotic fleets will be more valuable than ever, while creative human skills like design, planting, and customer service stay firmly in human hands.

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Will AI replace Landscaping & Groundskeep?

Will AI replace Landscaping & Groundskeep?

No. We don't think AI will replace Landscaping and Groundskeeping Workers, though we do expect the job to change.

The biggest shift happening right now is in mowing. Autonomous machines using GPS, computer vision, and LiDAR can now handle repetitive cutting on large commercial properties, freeing workers to focus on trimming, edging, and detailing [3]. Commercial units from brands like Honda are already priced for professional use [2], and adoption is growing partly because labor shortages are pushing companies to look for ways to stretch their crews [4]. That's augmentation, not replacement.

The work itself pushes back hard against full automation. Planting, pruning, bed design, and reading a client's vision still need human hands, judgment, and creativity. Yards are unpredictable, and no robot handles surprises the way a skilled worker does. The Bureau of Labor Statistics projects about 171,600 openings each year in this field through 2034 [5], which points to lasting demand.

Our 57.2% AI Resilience Score reflects this mixed picture. The role is holding up well, but wages and career flexibility are areas worth watching as the field evolves. Workers who learn to operate and supervise robotic equipment, while sharpening their design and customer skills, will be the ones who come out ahead.

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Latest AI news for Landscaping & Groundskeep

These articles highlight how AI is transforming the landscaping and groundskeeping industry, offering both challenges and opportunities. For instance, "The Blue Collar Gold Rush" discusses how AI tools can enhance profitability for skilled tradespeople, while "How Landscapers Can Run Their Business With AI" shows practical applications like scheduling and communication that save time. Understanding these advancements can help students build AI resilience in their careers, ensuring they stay relevant and competitive as technology evolves in the field.

More Career Info

Career: Landscaping and Groundskeeping Workers

They keep outdoor spaces looking nice by planting flowers, mowing lawns, and trimming bushes.

Employment & Wage Data

Median Wage

$38,090

Jobs (2024)

1,192,500

Growth (2024-34)

+3.6%

Annual Openings

158,200

Education

No formal educational credential

Experience

None

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

94% ResilienceCore Task

Attach wires from planted trees to support stakes.

2

94% ResilienceSupplemental

Mark design boundaries and paint natural or artificial turf fields with team logos or names before events.

3

93% ResilienceCore Task

Decorate gardens with stones or plants.

4

93% ResilienceSupplemental

Provide proper upkeep of sidewalks, driveways, parking lots, fountains, planters, burial sites, or other grounds features.

5

92% ResilienceCore Task

Use hand tools, such as shovels, rakes, pruning saws, saws, hedge or brush trimmers, or axes.

6

92% ResilienceCore Task

Plant seeds, bulbs, foliage, flowering plants, grass, ground covers, trees, or shrubs and apply mulch for protection, using gardening tools.

7

90% ResilienceCore Task

Prune or trim trees, shrubs, or hedges, using shears, pruners, or chain saws.

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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