Headline risk
23%
Moderate RiskGrounds maintenance workers, all other
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
All grounds maintenance workers not listed separately.
Task evidence
Task primitive coverage is not published for this occupation.
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 43,410
Employment 2024
14.1K
Projected Change (2024–34)
2.4%
Openings (2024–34)
1.9K
Wage distribution
Demand outlook
Overall employment of grounds maintenance workers is projected to grow 4 percent from 2024 to 2034, about as fast as the average for all occupations.
Role Profile
Requirements
Worker profile
Median age 42.4 · 596K employed
Under 25: 4% · 25–54: 75% · 55+: 21%
Related
Source coverage
7/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Data quality
Employment data available
Narrative & sources
Grounds maintenance workers install and maintain landscapes, prune trees or shrubs, and do other tasks to ensure that vegetation is attractive, orderly, and safe.
Most grounds maintenance work is done outdoors in all weather conditions. Some work is seasonal, available mainly in the spring, summer, and fall. The work may be repetitive and physically demanding, requiring frequent bending, kneeling, lifting, or shoveling.
Grounds maintenance workers typically do not need a formal educational credential and are trained on the job. States may require licensing for workers who apply pesticides and fertilizers.
The median hourly wage for grounds maintenance workers was $18.50 in May 2024.
Overall employment of grounds maintenance workers is projected to grow 4 percent from 2024 to 2034, about as fast as the average for all occupations.
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.