---
title: "Will AI Replace First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers?"
description: "BLS rates first-line supervisors of landscaping, lawn service, and groundskeeping workers' exposure to AI as high. What that means, which parts of the…"
canonical: "https://nuecareer.com/careers/will-ai-replace-first-line-supervisors-of-landscaping-lawn-service-and-groundskeeping-workers"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers? (2026)

**Short answer:** Not replaced, but changed. BLS rates the exposure as high, so AI can help with a real share of the work, yet it still projects employment to grow faster than average.

The Bureau of Labor Statistics places first-line supervisors of landscaping, lawn service, and groundskeeping workers in its high AI exposure category, above the middle of the pack: a substantial share of the work overlaps with what AI can do. BLS projects employment to change by +4.0% over 2025–2035, against 3.5% for all occupations, with about 23,900 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | High | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 69/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +4.0% | BLS EP 2025–2035 |
| Openings a year | 23,900 | BLS EP 2025–2035 |
| Median annual wage | $58,430 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate | 194 |
| High (this job) | 190 |
| Very high | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Face-to-face discussions: 4.8/5 (O\*NET work context)
- Working outdoors in all weather: 5.0/5 (O\*NET work context)
- Performing general physical activities: 4.0/5 (O\*NET work activity importance)
- Operating vehicles, mechanized devices, or equipment: 4.3/5 (O\*NET work activity importance)

## What AI reaches first

- Documenting/recording information: 4.0/5 (O\*NET work activity importance)
- Processing information: 3.7/5 (O\*NET work activity importance)
- Evaluating information to determine compliance with standards: 4.2/5 (O\*NET work activity importance)
- Scheduling work and activities: 4.4/5 (O\*NET work activity importance)

## O\*NET tasks

- Monitor project activities to ensure that instructions are followed, deadlines are met, and schedules are maintained.
- Inspect completed work to ensure conformance to specifications, standards, and contract requirements.
- Provide workers with assistance in performing duties as necessary to meet deadlines.
- Inventory supplies of tools, equipment, or materials to ensure that sufficient supplies are available and items are in usable condition.
- Recommend changes in working conditions or equipment used to increase crew efficiency.
- Maintain required records, such as personnel information or project records.

## Related careers less exposed to AI than first-line supervisors of landscaping, lawn service, and groundskeeping workers

- [Tree Trimmer and Pruner](https://nuecareer.com/careers/tree-trimmer-and-pruner): BLS exposure Low, median $50,960

## FAQ

**Will AI replace first-line supervisors of landscaping, lawn service, and groundskeeping workers?**

Not replaced, but changed. BLS rates the exposure as high, so AI can help with a real share of the work, yet it still projects employment to grow faster than average. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +4.0% over 2025–2035, against 3.5% for all occupations, with about 23,900 openings a year.

**How exposed are first-line supervisors of landscaping, lawn service, and groundskeeping workers to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers are in the high category, alongside 189 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a first-line supervisor of landscaping, lawn service, and groundskeeping workers's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are documenting/recording information, processing information and evaluating information to determine compliance with standards. The parts that hold up best are face-to-face discussions, working outdoors in all weather and performing general physical activities. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a first-line supervisor of landscaping, lawn service, and groundskeeping workers a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, first-line supervisors of landscaping, lawn service, and groundskeeping workers score 69 out of 100, higher than 97% of the occupations we score. The job pays a median of $58,430 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to first-line supervisors of landscaping, lawn service, and groundskeeping workers are less exposed to AI?**

Tree Trimmer and Pruner (low exposure, $50,960 median). Each is in a lower BLS exposure category than first-line supervisors of landscaping, lawn service, and groundskeeping workers, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/first-line-supervisor-of-landscaping-lawn-service-and-groundskeeping-workers.

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This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology