45
/100

SOC 37-3011

Landscaping and Groundskeeping Workers

ElevatedFrey/Osborne: 95.0%

Risk Score

โš ๏ธ

45/100

Elevated

US Employment

๐Ÿ‘ฅ

943,430

Total workers

Median Wage

๐Ÿ’ฐ

$38K

$30K โ€“ $54K

Projected Growth

๐Ÿ“ˆ

+3.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

22/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Landscaping and Groundskeeping Workers face a risk score of 45/100 โ€” 1 points above the national average of 44. With only 22/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $38K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 45/100, Landscaping and Groundskeeping Workers faces moderate automation pressure. While tasks like automated grounds-keeping and landscaping equipment are increasingly handled by AI, the role retains significant human elements. The 943,430 workers in this occupation should focus on strengthening skills in tenant and occupant relationship management and responding to unpredictable facility emergencies to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Landscaping and Groundskeeping Workers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated grounds-keeping and landscaping equipment

2

IoT-based predictive maintenance scheduling

3

Robotic cleaning and facility maintenance systems

4

Remote monitoring reducing on-site maintenance staff

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Tenant and occupant relationship management

โœ“

Responding to unpredictable facility emergencies

โœ“

Physical work in diverse and unstructured environments

โœ“

Judgment calls on repair vs. replacement decisions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Gather and remove litter.

โ€ข

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

โ€ข

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

โ€ข

Water lawns, trees, or plants, using portable sprinkler systems, hoses, or watering cans.

โ€ข

Prune or trim trees, shrubs, or hedges, using shears, pruners, or chain saws.

๐Ÿ’ป Technology Skills

โ€ข

Web page creation and editing software

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Customer and Personal Service

โ€ข

Chemistry

โ€ข

Mechanical

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$38K
$-8K

National avg: $46K

Risk Score45/100
+1

National avg: 44/100

GenAI Exposure22/100
-16

National avg: 38/100

Projected Growth3.6%
-0.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K65%
Electrical Power-Line Installers and Repairers28$93K59%
Supervisors of Building and Grounds Cleaning and Maintenance Workers36$50K78%