Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Landscaping Supervisors:
52.9%
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.
Med
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%).
Med
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%).
Med
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forFirst-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers
$58,430 median salary•23,900 annual openings•SOC Code: 37-1012.00
First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Landscaping supervisors are labeled "Mostly Resilient" because the heart of their job, leading crews, making real-time decisions outdoors, and building client relationships, relies on human judgment and people skills that AI simply cannot replicate. AI is stepping in to handle time-consuming tasks like writing job descriptions, analyzing pay rates, and speeding up estimates, which actually frees supervisors to focus on the hands-on leadership work that matters most.
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Landscaping supervisors are labeled "Mostly Resilient" because the heart of their job, leading crews, making real-time decisions outdoors, and building client relationships, relies on human judgment and people skills that AI simply cannot replicate. AI is stepping in to handle time-consuming tasks like writing job descriptions, analyzing pay rates, and speeding up estimates, which actually frees supervisors to focus on the hands-on leadership work that matters most.
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Landscaping Supervisors
Updated Quarterly
How is AI changing Landscaping Supervisors jobs?
If you're worried that a robot is coming for the landscaping supervisor's clipboard tomorrow — take a breath. Right now, AI is mostly helping supervisors do their jobs rather than replacing them. According to the National Association of Landscape Professionals, supervisors are using AI for the paperwork-heavy parts of the job: salary analysis, job‑posting optimization, and candidate communication so recruiters can spend more time on relationship-building [1], plus writing better job descriptions and speeding up estimates and takeoffs.
One owner told NALP that AI has not replaced any roles but has made positions more efficient, delaying the need to hire an extra person [1]. Out in the field, autonomous mowers are the biggest change — supervisors at companies like Reinhart Landscaping now oversee robotic mowers as part of their day-to-day operations [2], but this actually raises the value of a human supervisor. As one insurance expert put it, a robotic mower can't explain why it crossed a property line or damaged landscaping, so businesses still need human oversight, safety practices, and clear records [2].
How fast is AI adoption growing for Landscaping Supervisors?
Adoption is happening, but slowly and unevenly. A huge push factor is labor: USCIS hit the statutory H-2B seasonal-worker cap for fiscal 2026 [3], and Turf Magazine notes that demand for H-2B visas far exceeds the 66,000 annual supply [4], pushing owners toward robotics and AI scheduling tools. Yet the U.S. Bureau of Labor Statistics still projects grounds maintenance employment to grow 5 percent from 2025 to 2035, faster than average, with about 162,500 openings each year [5] — meaning humans are very much still needed.
Adoption slows because robotic mowers cost thousands of dollars, weather and terrain are unpredictable, and — as one Dallas recruiter told NALP — great hires come from genuine conversations and culture alignment that no algorithm can replace [1]. The bottom line: supervisors who learn to manage AI tools and robotic crews will likely become more valuable, not less.
Sources
Will AI replace Landscaping Supervisors?
No. We don't think AI will replace First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers, though we do expect the job to change.
That view lines up with a 52.9% AI Resilience Score for this role. Right now, AI is mostly handling the paperwork side of the job: salary analysis, writing job descriptions, and speeding up estimates [1]. One landscaping owner told the National Association of Landscape Professionals that AI has not replaced any roles but has made positions more efficient [1]. That is augmentation, not replacement.
The bigger field change is robotic mowers. Supervisors at some companies now oversee autonomous equipment as part of daily operations, but this actually raises the value of human oversight. As one insurance expert noted, a robotic mower cannot explain why it crossed a property line or damaged a client's garden, so businesses still need someone accountable on the ground [2].
Demand also supports a stable outlook. The BLS projects grounds maintenance employment to grow 5 percent through 2035, with about 162,500 openings each year [5]. Labor shortages are pushing more owners toward automation tools, but that same pressure makes a supervisor who can manage both human crews and robotic equipment genuinely harder to replace, not easier.
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Latest AI news for Landscaping Supervisors
These articles provide valuable insights for students pursuing careers as First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers. With an AI-exposure score of 53/100, the role faces elevated risks of automation, particularly in tasks like recordkeeping and scheduling, which could see significant automation. However, the lower risk score of 36/100 for overall job functions suggests many responsibilities remain secure. Understanding these dynamics can help students prepare for a resilient career by focusing on skills that enhance human oversight and customer interaction.
First-Line Supervisors of Landscaping, Lawn Service ... - AI Exposure
www.aiexposure.org • 8/20/2026
First -Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers scored 53/100 for AI automation risk. 124130 Americans hold this job.
AI Impact on Landscaping Supervisors | Risk ... - AI Job Checker
www.aijobchecker.com • 8/20/2026
Landscaping supervisor AI risk score: 36/100. Recordkeeping (88%) and scheduling (72%) face near-term automation. See which tasks are safe and how to ad...
First-Line Supervisors of Landscaping, Lawn ... - AI-Safe Careers
aisafe.careers • 8/20/2026
As of July 2026, First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers has an AI-exposure score of 53/100 (Elevated exposure) on the ...
More Career Info
Career: First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers
They oversee teams that maintain and beautify outdoor spaces, ensuring tasks like mowing and planting are done correctly and safely.
Parent Careers
Employment & Wage Data
Median Wage
$58,430
Jobs (2025)
243,300
Growth (2025-35)
+4.0%
Annual Openings
23,900
Education
High school diploma or equivalent
Experience
Less than 5 years
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
Install or maintain landscaped areas, performing tasks such as removing snow, pouring cement curbs, or repairing sidewalks.
2
Provide workers with assistance in performing duties as necessary to meet deadlines.
3
Plant or maintain vegetation through activities such as mulching, fertilizing, watering, mowing, or pruning.
4
Direct or assist workers engaged in the maintenance or repair of equipment, such as power tools or motorized equipment.
5
Direct activities of workers who perform duties, such as landscaping, cultivating lawns, or pruning trees and shrubs.
6
Direct or perform mixing or application of fertilizers, insecticides, herbicides, or fungicides.
7
Establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety.
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.
