Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Landscaping & Groundskeep:
56.5%
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forLandscaping and Groundskeeping Workers
$39,150 median salary•149,500 annual openings•SOC 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 earns a "Mostly Resilient" label because so much of the hands-on work, like pruning shrubs, arranging flower beds, and hauling debris on uneven ground, requires the kind of physical judgment and adaptability that AI simply cannot replicate yet. Robotic mowers are growing fast and will likely take over large, predictable spaces like parks and corporate campuses, but residential and detail-heavy work will continue to depend on skilled human workers who can read a space and respond to what they see.
Learn more about how you can thrive in this position
This role is mostly resilient
Landscaping earns a "Mostly Resilient" label because so much of the hands-on work, like pruning shrubs, arranging flower beds, and hauling debris on uneven ground, requires the kind of physical judgment and adaptability that AI simply cannot replicate yet. Robotic mowers are growing fast and will likely take over large, predictable spaces like parks and corporate campuses, but residential and detail-heavy work will continue to depend on skilled human workers who can read a space and respond to what they see.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Landscaping & Groundskeep
Updated Quarterly

How is AI changing Landscaping & Groundskeep jobs?
If you're worried that robots are already replacing landscapers, take a breath — the reality is more of a slow evolution than a takeover. The biggest AI story in this field is the rise of autonomous mowers that use GPS, cameras, and machine learning to cut grass on their own. Landscape Management notes that most landscape pros are still taking a cautious, wait-and-see attitude when it comes to autonomy, but even the most vocal skeptics will admit that the day is coming when robotic technology will be the rule rather than the exception.
A few early adopters are already seeing big gains: one company shared an instance where sports field prep was cut from six hours to two with the introduction of autonomy. Major manufacturers are still refining the tech — John Deere continues to pursue extensive field work on a prototype autonomous stand-on mower, but when landscape pros can actually begin adding one to their fleets remains to be determined. Beyond mowing, AI is quietly augmenting the office side of landscaping too.
A recent NALP article on where landscape businesses should use AI [1] argues AI is best pointed at back-office bottlenecks like estimates and reports, not at replacing crews. Tasks that require human judgment — pruning delicate shrubs, arranging flower beds, hauling debris on uneven ground — remain firmly in human hands, which matches why the automation percentages for trimming, weeding, and hand-tool work are all under 20%.
Sources

How fast is AI adoption growing for Landscaping & Groundskeep?
Adoption will likely be steady but uneven. On the "speed it up" side, the robotic mower market is booming — Grand View Research valued it at $9.3 billion in 2025 and projects growth to $22 billion by 2033 at an 11.4% CAGR. A chronic labor shortage is another accelerant: NALP's 2026 forecast [2] urges members to build redundancy into their labor strategies and notes many firms can gain 10–20% efficiency by tightening operations, which autonomy helps with.
On the "slow it down" side, upfront costs, seasonal weather, uneven terrain, and customer expectations for a hand-finished look all favor human workers. Government data reinforces this — the Bureau of Labor Statistics Occupational Outlook Handbook [3] shows grounds maintenance is projected to keep growing, with many openings each year to replace workers who retire or move on. The bottom line for young people considering this career: experts predict autonomous equipment will be a primary fixture on large, predictable properties such as municipalities, public parks and corporate campuses, while residential mowing — which requires more intricate detailing — will continue to rely on skilled laborers.
Learning to run the robots, not compete with them, is your edge.
Sources

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.
Our 56.5% AI Resilience Score reflects a field that is holding up well, even as automation creeps in. The biggest shift is autonomous mowing. Robotic mowers are already cutting large, predictable spaces like parks and corporate campuses, and the technology is only getting more capable. Some firms have already seen dramatic time savings on sports field prep by introducing autonomy. But experts still expect residential and detail-heavy work to rely on skilled human hands, and industry voices argue AI is better aimed at back-office tasks like estimates and reports than at replacing crews [1].
The tasks that define this job, pruning, arranging, hauling debris on uneven ground, reading a client's vision, still require human judgment in ways machines cannot replicate. Government data shows grounds maintenance is projected to keep growing, with steady openings each year as workers retire or move on [3]. A chronic labor shortage is actually pushing firms toward efficiency tools, not full replacement [2].
The honest caveat is that wages and adaptability scores are a real concern in our data. The smartest move for anyone entering this field is to learn how to operate and manage the new equipment, because the workers who run the robots will be far harder to replace than those who don't.

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Latest AI news for Landscaping & Groundskeep
These articles highlight how AI is transforming landscaping careers, offering insights into the industry's future. For instance, "The Blue Collar Gold Rush" discusses how AI creates new opportunities for skilled tradespeople, while "AI in Landscaping: Transform Your Business for Success" emphasizes tools that enhance scheduling and resource management. By embracing these technologies, landscaping and groundskeeping workers can improve efficiency and focus on strategic growth, ensuring their relevance and resilience in a changing job landscape.
6 Ways to Use AI and Automation to Scale Your Lawn Care ...
www.realgreen.com • 8/20/2026
AI and automation allow lawn care operations to scale efficiently by handling routine tasks — so your team can focus on service delivery and strategic growth. Read more
Artificial Intelligence is changing the landscape industry ...
www.linkedin.com • 8/20/2026
Common sense reminds you to verify the slope, soil conditions, and irrigation before pricing the work. AI can optimize your crew's routes. Read more
The Blue Collar Gold Rush: AI in Landscaping Industry
leanscaper.com • 8/20/2026
Discover how AI is revolutionizing the landscaping industry, creating opportunities and increasing profitability for skilled tradespeople.
AI in Landscaping: Transform Your Business for Success
www.mulchmule.com • 8/20/2026
In landscaping, AI tools can analyze data, recognize patterns, and provide insights that improve scheduling, maintenance, and resource management.

Overview: How Vulnerable are Indianapolis Jobs to Automation?
www.newamerica.org • 3/10/2026
In the Indianapolis-Carmel-Anderson metro area, 337,900 people are employed in occupations that are at high risk of automation—35 percent of total jobs.
More Career Info
Career: Landscaping and Groundskeeping Workers
They keep outdoor spaces looking nice by planting flowers, mowing lawns, and trimming bushes.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$39,150
Jobs (2025)
1,188,600
Growth (2025-35)
+4.7%
Annual Openings
149,500
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Use hand tools, such as shovels, rakes, pruning saws, saws, hedge or brush trimmers, or axes.
2
Attach wires from planted trees to support stakes.
3
Maintain or repair tools, equipment, or structures, such as buildings, greenhouses, fences, or benches, using hand or power tools.
4
Trim or pick flowers and clean flower beds.
5
Plant seeds, bulbs, foliage, flowering plants, grass, ground covers, trees, or shrubs, and apply mulch for protection, using gardening tools.
6
Follow planned landscaping designs to determine where to lay sod, sow grass, or plant flowers or foliage.
7
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.
