Last Update: 2/18/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They keep outdoor spaces looking neat and tidy by mowing lawns, trimming bushes, and maintaining gardens.
This role is stable
Grounds maintenance work is considered stable because most tasks are hands-on and require human skills like creativity and problem-solving, which AI can't fully replicate. While new technologies like robotic mowers and drones can help with repetitive tasks, they are expensive and still need human oversight for safety and effectiveness.
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 stable
Grounds maintenance work is considered stable because most tasks are hands-on and require human skills like creativity and problem-solving, which AI can't fully replicate. While new technologies like robotic mowers and drones can help with repetitive tasks, they are expensive and still need human oversight for safety and effectiveness.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Grounds Maintenance Worker
Updated Quarterly • Last Update: 2/18/2026

What's changing and what's not
Some basic robot tools already work in grounds care. For example, commercial robot lawnmowers are on the market for large lawns [1], and even universities are testing fully driverless tractors and sprayers for sports fields [1]. Drones and smart sensors can scan for weeds or dry soil, and precision equipment can spot-spray weeds or water.
Still, these machines mainly handle repetitive chores. Experts point out that “human intervention will always be needed” for creative landscaping designs or hands-on tasks [2]. In fact, trials show even an “autonomous” mower or sprayer usually has a person standing by as a safety backup [1].
In short, current technology can help cut grass or detect weeds, but most complex judgment calls and creative planting still rely on people [2] [1].

AI in the real world
Many grounds crews use simple power tools and scheduling software today, but full AI adoption has been slow. One reason is cost: robotic mowers and smart machines can be very expensive compared to hourly labor, so small landscaping businesses often stick with manual work [1] [1]. Early forecasts even said robots would “quickly take over” lawn care tasks [2], but in reality businesses move carefully.
Large, uniform areas like golf courses or sports fields are trying more automation first, since equipment can run all night and cut noise in those settings [1] [1]. Labor trends also matter: if it’s hard to find enough workers or if wages rise, companies have more reason to invest in machines. On the other hand, park and garden jobs change with weather and need human flexibility, so many places are happy with skilled crews for now.
Overall, robots may slowly take on routine jobs (like mowing schedules), but people’s skills – creativity, problem-solving and care – remain in high demand. Young workers in grounds care can learn to use new machines as helpers, turning technology into a tool that still needs human teamwork and judgment [2] [1].

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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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