# First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers

> 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.

- **SOC code:** 37-1012.00
- **Canonical URL:** https://singulariki.com/roles/role-37-1012-00
- **Also known as:** Golf Course Superintendent, Grounds Manager, Grounds Supervisor, Landscape Supervisor, Field Manager, Grounds Crew Supervisor, Grounds Foreman, Grounds Maintenance Supervisor
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety.
- Schedule work for crews, depending on work priorities, crew or equipment availability, or weather conditions.
- Monitor project activities to ensure that instructions are followed, deadlines are met, and schedules are maintained.
- Tour grounds, such as parks, botanical gardens, cemeteries, or golf courses, to inspect conditions of plants and soil.
- Direct activities of workers who perform duties, such as landscaping, cultivating lawns, or pruning trees and shrubs.
- Inspect completed work to ensure conformance to specifications, standards, and contract requirements.
- Plant or maintain vegetation through activities such as mulching, fertilizing, watering, mowing, or pruning.
- Negotiate with customers regarding fees for landscaping, lawn service, or groundskeeping work.
- Direct or perform mixing or application of fertilizers, insecticides, herbicides, or fungicides.
- Train workers in tasks such as transplanting or pruning trees or shrubs, finishing cement, using equipment, or caring for turf.
- Identify diseases or pests affecting landscaping and order appropriate treatments.
- Prepare service estimates based on labor, material, and machine costs and maintain budgets for individual projects.

**Emerging tasks** (O*NET):
- Repair irrigation systems.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Monitoring _(essential_skill)_
- Time Management _(transferable_skill)_
- Customer and Personal Service _(knowledge)_
- Oral Comprehension _(ability)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Management of Personnel Resources _(transferable_skill)_
- Oral Expression _(ability)_
- Administration and Management _(knowledge)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Coordination _(transferable_skill)_

**Skills in demand:**
- Time Management _(Common Skill)_
- English Language _(Common Skill)_
- Active Listening _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Mathematics _(Common Skill)_
- Visualization _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Instructing _(Specialized Skill)_
- Chemistry _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Learning Strategies _(Specialized Skill)_

**Tools & technology:**
- Facebook _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Payroll software
- Work order software

## AI exposure & outlook

- **AI task-overlap index:** 37th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 33rd percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 47th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 36th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 49th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.3% growth (About average); 23.2k annual openings; 224.7k → 230k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $56,170; 124,130 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 27% automation, 19% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** none.

**Tasks most handed to AI here:**
- Answer inquiries from current or prospective customers regarding methods, materials, or price ranges. _(3.9% of measured AI use; none)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me answer inquiries from current or prospective customers regarding methods, materials, or price ranges.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-37-1012-00_