As of August 2026,
First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers has an AI-exposure score of 53/100
(Elevated exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers
More exposed than 39% of the roles we track. Median pay ~US$58,430. About 23,200 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
Will AI replace First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers?
No exposure score can predict whether AI will replace this role. The 53/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.
Early-career context (study ages 22-25)
This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Building & Grounds roles
What this role usually involves
Directly supervise and coordinate activities of workers engaged in landscaping or groundskeeping activities. Work may involve reviewing contracts to ascertain service, machine, and workforce requirements; answering inquiries from potential customers regarding methods, material, and price ranges; and preparing estimates according to labor, material, and machine costs.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers, SOC 37-1012.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers tasks, by AI exposure
- Maintain required records, such as personnel information or project records.
- Monitor project activities to ensure that instructions are followed, deadlines are met, and schedules are maintained.
- Schedule work for crews, depending on work priorities, crew or equipment availability, or weather conditions.
- Confer with other supervisors to coordinate work activities with those of other departments or units.
- Inventory supplies of tools, equipment, or materials to ensure that sufficient supplies are available and items are in usable condition.
No durable tasks identified for this role - its individually-assessed tasks split 55% augmentable / 45% automatable.
We analyzed all 20 First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers tasks - 9 automatable and 11 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.
Maintain required records, such as personnel information or project records.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers - median pay by US state (BLS OEWS, USD)
Median annual wage, in USD. US national: US$58,430. More states are being added.