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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
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.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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.
Read full analysisAnalysis of Current AI Resilience
Landscaping & Groundskeep
Updated Quarterly • Last Update: 5/15/2026

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.

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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They keep outdoor spaces looking nice by planting flowers, mowing lawns, and trimming bushes.
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
AI-generated estimates of task resilience over the next 3 years
Attach wires from planted trees to support stakes.
Mark design boundaries and paint natural or artificial turf fields with team logos or names before events.
Decorate gardens with stones or plants.
Provide proper upkeep of sidewalks, driveways, parking lots, fountains, planters, burial sites, or other grounds features.
Use hand tools, such as shovels, rakes, pruning saws, saws, hedge or brush trimmers, or axes.
Plant seeds, bulbs, foliage, flowering plants, grass, ground covers, trees, or shrubs and apply mulch for protection, using gardening tools.
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.

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