Stable

Last Update: 2/17/2026

Your role’s AI Resilience Score is

75.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Landscaping and Groundskeeping Workers

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

This role is stable

Landscaping and groundskeeping are labeled as "Evolving" because technology is gradually changing how the work is done. AI-powered tools like robotic mowers and smart sprinklers are being used to handle routine tasks, helping crews with the workload.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is stable

Landscaping and groundskeeping are labeled as "Evolving" because technology is gradually changing how the work is done. AI-powered tools like robotic mowers and smart sprinklers are being used to handle routine tasks, helping crews with the workload.

Read full analysis

Contributing 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

Learn about this score
Stable iconStable

78.1%

78.1%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

91.3%

91.3%

Anthropic's Economic Index

Stable iconStable

99%

99%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

30.6%

30.6%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.6%

Growth Percentile:

58.2%

Annual Openings:

158,200

Annual Openings Pct:

92.7%

Analysis of Current AI Resilience

Landscaping & Groundskeep

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Some landscaping jobs are getting high-tech helpers, but people still do most of the work. For example, facilities managers use robotic mowers with lasers and cameras (AI) to map and cut grass on schedule [1] [2]. These machines can handle wide, flat areas and steep slopes, letting human crews focus on tricky details.

In labs and farms, researchers have even built robots that seed, water, weed, and prune plants [3]. One company’s “LaserWeeder” uses AI to identify and zap weeds in row crops [4]. Many homes also have smart sprinkler controllers that automate watering.

However, most everyday chores still need human hands. Picking up litter, raking leaves, pruning shrubs, or tying up trees all require judgment and care. Some prototype robots can sweep park paths or pick up trash [5], but these aren’t common yet.

In fact, one industry report found about 80% of businesses use automation mainly to help workers, not to fire them [6]. In practice, machines handle routine parts of landscaping (like mowing or watering) while people handle the creative and complex tasks.

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AI Adoption

AI in the real world

AI and robots in landscaping could spread because crews are often short-staffed. Properties have a “chronic labor shortage” in grounds work [1], so managers look for tools that relieve hard tasks. Industry surveys say most firms adopting robotics do it to free staff from difficult chores [6].

For example, a robotic mower can let one person do work a whole crew used to handle [1]. New tech also makes jobs feel more modern, which can attract younger, tech-savvy workers [1].

On the other hand, there are big challenges. Advanced machines cost a lot. One report notes that a laser-weeding tractor with AI is “more expensive than traditional machinery” [4], so small landscaping companies may hesitate.

Yards and parks are also unpredictable – different plants, hills, and weather mean robots must be very adaptable. For now, most crews use technology in simple ways (like smart irrigation or scheduling apps) while people do core tasks. In many cases, AI helps with planning or light work, but gardeners still lead the job [6] [1].

This suggests human skills – creativity, judgement, and care for plants – will remain at the heart of landscaping for a long time.

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More Career Info

Career: Landscaping and Groundskeeping Workers

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

80% ResilienceSupplemental

Care for artificial turf fields, periodically removing the turf and replacing cushioning pads or vacuuming and disinfecting the turf after use to prevent the growth of harmful bacteria.

2

75% ResilienceSupplemental

Build forms and mix and pour cement to form garden borders.

3

70% ResilienceSupplemental

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

4

70% ResilienceSupplemental

Install rock gardens, ponds, decks, drainage systems, irrigation systems, retaining walls, fences, planters, or playground equipment.

5

65% ResilienceCore Task

Operate vehicles or powered equipment, such as mowers, tractors, twin-axle vehicles, snow blowers, chain-saws, electric clippers, sod cutters, or pruning saws.

6

65% ResilienceSupplemental

Use irrigation methods to adjust the amount of water consumption and to prevent waste.

7

60% ResilienceCore Task

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

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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