Share and intensity of work current AI systems can materially affect.
SOC 37-1012
First-Line Supervisors of Landscaping Workers AI displacement risk
Landscaping supervisors schedule crews, inspect grounds, and direct planting and maintenance work. Route-optimization and job-tracking software streamline dispatch, but crew leadership, client walkthroughs, and judgment about plants and soil stay on site.
Likely potential for exposed tasks to move to software after workflow integration.
This is the advancement path for landscaping workers as software absorbs route planning. Supervisors who master both the horticulture and the scheduling stack run larger, more profitable crews.
Distribution
Where First-Line Supervisors of Landscaping Workers sits across 620 tracked roles
Displacement pressure 20 — higher than 23% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
28 O*NET task statements matched to SOC 37-1012. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $58,430 (May 2025, US national). The latest BLS row matched SOC 37-1012.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify First-Line Supervisors of Landscaping Workers
SOC 37-1012 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 20/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for First-Line Supervisors of Landscaping Workers
The current evidence import matched 28 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks28
SOC37-1012
- Core task / ID 11199
Establish and enforce operating procedures and work standards that will ensure adequate performance and personnel safety.
- Core task / ID 11202
Schedule work for crews, depending on work priorities, crew or equipment availability, or weather conditions.
- Core task / ID 11225
Tour grounds, such as parks, botanical gardens, cemeteries, or golf courses, to inspect conditions of plants and soil.
- Core task / ID 11204
Monitor project activities to ensure that instructions are followed, deadlines are met, and schedules are maintained.
- Core task / ID 11201
Direct activities of workers who perform duties, such as landscaping, cultivating lawns, or pruning trees and shrubs.
- Core task / ID 11200
Inspect completed work to ensure conformance to specifications, standards, and contract requirements.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Schedule work for crews by priorities and weather
Exposure 46, automation 24%, augmentation 54%.
O*NET evidence: Schedule work for crews, depending on work priorities, crew or equipment availability, ... (ID 11202)
Tour grounds to inspect conditions of plants and soil
Exposure 24, automation 9%, augmentation 46%.
O*NET evidence: Tour grounds, such as parks, botanical gardens, cemeteries, or golf courses, to inspect... (ID 11225)
Direct workers performing landscaping duties
Exposure 24, automation 9%, augmentation 48%.
O*NET evidence: Direct activities of workers who perform duties, such as landscaping, cultivating lawns... (ID 11201)
Inspect completed work for contract conformance
Exposure 30, automation 13%, augmentation 50%.
O*NET evidence: Inspect completed work to ensure conformance to specifications, standards, and contract... (ID 11200)
TaskExposureAutomationAugmentation
Schedule work for crews by priorities and weather4624%54%
Tour grounds to inspect conditions of plants and soil249%46%
Direct workers performing landscaping duties249%48%
Inspect completed work for contract conformance3013%50%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowBranch Manager, Landscape Services
Training horizon: 6-12 months. Skill overlap 68. Wage preservation signal 124.
- Own client portfolios
- Lead estimating and bids
- Manage multiple crews
credentialed transition
LowGrounds Manager
Training horizon: 12-24 months. Skill overlap 62. Wage preservation signal 120.
- Add horticulture credentials
- Own campus or estate grounds
- Manage capital projects
Comparison guides
Compare the next move before you commit
6-12 months
First-Line Supervisors of Landscaping Workers to Branch Manager, Landscape Services
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from First-Line Supervisors of Landscaping Workers into Branch Manager, Landscape Services.
12-24 months
First-Line Supervisors of Landscaping Workers to Grounds Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from First-Line Supervisors of Landscaping Workers into Grounds Manager.
What the AI risk score means for First-Line Supervisors of Landscaping Workers
The displacement pressure score for First-Line Supervisors of Landscaping Workers is 20. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Schedule work for crews by priorities and weather carries 24% automation pressure, while Schedule work for crews by priorities and weather carries 54% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $58,430 (May 2025, US national). Employment context: The near-move target for landscaping and grounds crews. Typical education: Work experience in landscaping or groundskeeping.
Wage vulnerability is 44, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Software optimizes routes and dispatch
- Plant and soil judgment stays on site
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For First-Line Supervisors of Landscaping Workers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Crew leadership
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Route scheduling
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Horticultural judgment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Contract inspection
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Branch Manager, Landscape Services, such as own client portfolios.
- By 90 days, compare internal openings and external postings for Branch Manager, Landscape Services or Grounds Manager and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and First-Line Supervisors of Landscaping Workers
Will AI replace First-Line Supervisors of Landscaping Workers?
Landscaping supervisors schedule crews, inspect grounds, and direct planting and maintenance work. Route-optimization and job-tracking software streamline dispatch, but crew leadership, client walkthroughs, and judgment about plants and soil stay on site. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of First-Line Supervisors of Landscaping Workers work are most exposed to AI?
Schedule work for crews by priorities and weather and Inspect completed work for contract conformance show the strongest automation pressure in this model. Schedule work for crews by priorities and weather and Inspect completed work for contract conformance are better treated as AI-augmented work.
What should First-Line Supervisors of Landscaping Workers learn next?
Start with Crew leadership, Route scheduling, Horticultural judgment. The most practical adjacent paths in this model are Branch Manager, Landscape Services and Grounds Manager.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics