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Time Machine

Landscaping and Groundskeeping Workers

Scrub through 178years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

2026drag to travel through time
187519001925195019752000now
Country
2026
Known today as Landscaping and Groundskeeping Workers (BLS SOC 37-3011)
Latest actual · 2024
1.19M
BLS National Employment Matrix baseline for 2024, sourced from O*NET and the National Employment Matrix projections document. Employment has grown substantially since 2019, reflecting continued residential landscaping demand, commercial property growth, and municipal green-space investment. The 2024 figure of 1,192,500 workers makes 37-3011 one of the largest physically-demanding occupations in the United States. The median annual wage in 2024 was $38,090.
Latest actual · 2024
$38,090
BLS OES May 2024 median annual wage for 37-3011 Landscaping and Groundskeeping Workers, sourced from O*NET and the BLS current OES page. Real-terms base year 2024. The median has grown substantially since 2002 in nominal terms but has experienced erosion in real terms during the 2021-2023 inflation period. Workers with specialty credentials (pesticide applicator license, Irrigation Association CIT certification, ISA Certified Arborist) earn substantially above the median.
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Hand tools and horse-drawn equipment (pre-mechanical mower era)

    The groundskeeper of the 1850s worked entirely with hand tools: scythes, sickles, rakes, spades, and wheelbarrows. Large estates and parks maintained their turf using teams of workers swinging scythes -- the same technique that had maintained English manor gardens for centuries. Horse-drawn equipment was used for heavier soil-moving work. The limiting factor was labor: a single worker could scythe and rake perhaps a quarter-acre of turf per day in good conditions. For Olmsted's Central Park crew of 4,000 workers in 1859, the manual intensity of the work was part of its identity -- there was no mechanical shortcut to shaping terrain, planting thousands of trees, or cultivating grass from bare rock and swamp.

    Work toolChanging equipment
  • Reel push mower and early mechanical equipment (Hills patent era)

    On January 28, 1868, Amariah Hills of Hockanum, Connecticut received the first American patent for a reel-type lawn mower, building on the English cylinder mower invented by Edwin Budding in 1830. In 1870, Elwood McGuire of Richmond, Indiana designed a lightweight human-pushed reel mower that became a commercial success; by 1885 the United States was producing 50,000 lawn mowers annually. The reel mower did not transform professional groundskeeping overnight -- estate and park workers still used large numbers of manual laborers -- but it made the suburban lawn a practical aspiration for middle-class homeowners rather than an exclusively wealthy preoccupation. The mower that still required pushing was the founding tool of the residential lawn; it also seeded a commercial premise: someone had to do this work.

    Effect on the work

    The reel mower democratized lawn ownership but increased total labor demand by expanding the population of lawns that needed maintenance. It did not reduce the number of grounds workers; it created the market for them.

    Work toolChanging equipment
  • Rotary power mower (postwar suburbanization era)

    The rotary power mower transformed professional grounds maintenance after World War II. Propelled by gasoline engines developed during the war, rotary mowers could cut at higher speeds and handle taller, wetter grass than reel designs -- making them practical for the quarter-acre residential lots that characterize postwar suburban developments. Power mower sales in the US climbed from 139,000 units in 1946 to 4.2 million by 1959. For professional groundskeepers, the power mower increased productivity per worker on large properties: a single worker with a riding mower could now manage acreage that previously required a crew. The same period saw the founding of the Associated Landscape Contractors of America (ALCA) in 1961, marking the point at which the profession had sufficient commercial scale to warrant a national trade association.

    Effect on the work

    The rotary power mower dramatically increased the productivity of individual grounds workers on large properties, enabling the commercial landscaping industry to grow without proportional headcount increases. The residential market grew fast enough to absorb the productivity gains -- total employment expanded rather than contracted through the 1950s-60s.

    Work toolChanging equipment
  • Leaf blower, commercial irrigation, and chemical lawn programs (ChemLawn era)

    The leaf blower first appeared in the 1970s as a farm crop-drying tool adapted for grounds work. It sharply reduced the labor time for leaf removal and site cleanup -- a task that had previously required hours of raking -- and quickly became ubiquitous in commercial landscaping. Simultaneously, the commercial chemical lawn care industry emerged: ChemLawn was founded in Troy, Ohio in 1969 by Paul and Richard Duke, offering homeowners scheduled fertilizer and weed-control applications by uniformed technicians. By the mid-1970s, chemical lawn care had become firmly established as a residential service; TruGreen followed in 1973-74. The Professional Lawn Care Association of America was founded in 1979. This era created the multi-crew, route-based commercial landscaping model that still characterizes the industry today.

    Effect on the work

    ChemLawn and TruGreen grew rapidly through the 1970s and 1980s by converting DIY lawn care into a paid service. The industry employed approximately 400,000-500,000 workers in grounds maintenance by the early 1980s. The commercial model created large numbers of driving-intensive, route-based lawn care jobs -- a workforce profile that would persist for decades.

    Work toolChanging equipment
  • GPS fleet management, estimating software, and smart irrigation controllers

    The 1990s through 2010s brought digital tools to the logistics layer of landscaping: GPS route optimization, scheduling software, and later smart irrigation controllers transformed back-office operations. Smart irrigation controllers from companies like Rachio (launched 2014) connected weather data and soil-moisture sensing to automated scheduling -- reducing the manual watering decisions that workers previously made site by site. On the business side, field service management platforms (Jobber launched 2011; Aspire followed) automated crew dispatching, customer invoicing, and route optimization for multi-crew commercial operations. The result was not job loss but restructuring: administrative tasks that small owner-operators had done manually between job sites began migrating to software, and crew efficiency on routes improved measurably.

    Effect on the work

    Smart irrigation cut the labor-hours spent on manual irrigation management, but the total savings per site were modest -- irrigation had never been the majority of a grounds crew's time. More significant was route optimization: Jobber-style software reduced drive time between jobs and administrative overhead for small contractors.

    Work toolChanging equipment
  • H-2B visa dependency, consolidation, and mobile field apps

    After 2015, the landscaping industry's labor dynamics were significantly shaped by structural workforce shortages. H-2B visa certifications for seasonal workers show that landscaping services receive 31.3% of all H-2B seasonal-worker allocations -- the largest single industry share. With domestic labor markets tightening, mid-size and large landscaping contractors invested heavily in field operations software (mobile apps for time tracking, job completion documentation, and real-time crew communication). Aspire PropertyIntel, launched in 2023, introduced aerial-imagery-based property measurement that automated the site-takeoff process -- compressing proposal preparation from hours to minutes for large commercial contracts. The era also saw significant consolidation: private-equity rollups of regional landscaping contractors created larger multi-state operators with more capital to invest in technology.

    Effect on the work

    Mobile field apps increased crew accountability and reduced administrative overhead without reducing headcount. If anything, the tight labor market increased wages more than it reduced employment -- the landscaping industry's structural worker shortage meant that technology adoption was driven by the need to retain workers and serve more accounts per crew, not to replace workers with machines.

    Work toolChanging equipment
  • Autonomous robotic mowers and AI job scheduling (commercial scale)

    Husqvarna launched its CEORA commercial robotic mower platform in December 2020, targeting large-format turf sites (schools, corporate campuses, parks, municipalities) that require continuous maintenance on open, relatively flat terrain. The EPOS (Electric Positioning Operating System) platform, using RTK satellite navigation at centimeter-level accuracy with no boundary wire, reached its commercial 560 EPOS model in April 2026. Electric Sheep Robotics (acquired by Oso Electric Equipment in October 2025) developed autonomous outdoor work platforms that can handle mowing and debris collection on commercial sites. The robotic mower market is growing at 18.4% CAGR through 2031. Simultaneously, AI scheduling tools within Jobber (2025 expansion) and similar platforms began automating quote generation, customer communication, and high-value job alerts -- tasks that previously required administrative staff. The combination represents the first sustained threat to the direct labor-hour model for large commercial mowing contracts.

    Effect on the work

    On large, flat commercial and municipal turf -- the most mechanizable segment of the market -- robotic mowing systems are beginning to displace repetitive mowing labor. But the install base is still early: at 18.4% CAGR from a small base, commercial robotic mowers will cover meaningful acreage by 2030 but are not yet transforming headcount at scale. The role for front-line workers on robotic-equipped properties shifts from operating the mower to deploying, monitoring, and servicing the robot -- a skill-upgrade rather than an elimination.

    Work toolChanging equipment
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
BLS National Employment Matrix 2024-34
2034
+3.6%
BLS Employment Projections -- industry-occupation matrix and labor productivity assumptions. The 2024-34 cycle projects a 3.6% employment increase for 37-3011, from 1,192,500 (2024) to approximately 1,235,000 (2034), adding roughly 42,400 positions. This is approximately in line with the all-occupations average. The BLS methodology models continued residential landscaping demand, municipal green-space investment, and commercial property expansion as the primary growth drivers, with robotic mowing displacement on large flat turf sites as a modest offsetting factor. The projection also reflects substantial annual turnover in the occupation: the BLS projects 171,600 job openings per year on average, of which the majority represent replacement needs rather than net new positions.
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Frey and Osborne (2013) -- "The Future of Employment"
2033
22%
of tasks
Gaussian-process classifier on O*NET task features. Frey and Osborne placed Landscaping and Groundskeeping Workers in a low-to-medium automation risk category in their 2013 study, reflecting the physical and unstructured nature of the work. Grounds maintenance tasks -- operating mowers on irregular terrain, pruning plants with context-sensitive judgment, reading soil and plant health conditions, managing unpredictable outdoor environments -- presented meaningful bottlenecks under the F&O "perception and manipulation" category that their model treated as automation-limiting. The occupation's automation probability was estimated in the 20-30% range, substantially lower than cashiers (97%), telemarketers (99%), or data entry workers (99%). The -22% figure here represents an approximate F&O-implied task-exposure ceiling for this role, not a forecast of realized job losses; actual employment has grown since 2013, the opposite of what high-probability automation scenarios would predict.
MarketsandMarkets Smart Irrigation Market 2025-2030
2030
8%
of tasks
MarketsandMarkets projects the global smart irrigation market to grow from USD 1.59 billion in 2025 to USD 2.65 billion by 2030 at a 10.8% CAGR. Smart irrigation controllers automate the watering-schedule decisions that grounds workers previously made manually, reducing the labor-hours spent on irrigation management per site. The 8% figure represents an estimate of the share of total grounds maintenance labor-time exposed to automation via smart irrigation specifically -- a meaningful but bounded slice of the overall job (irrigation management is roughly 10-15% of a landscaping crew's weekly time on maintained properties). It does not represent forecast job losses; the market for maintained properties is growing faster than automation is reducing per-property labor intensity.
Eloundou et al. -- "GPTs are GPTs" (2023)
2028
5%
of tasks
GPT-4 task-by-task LLM exposure labeling on O*NET tasks. Landscaping and groundskeeping workers score among the lowest LLM exposure of any major occupational group. The dominant tasks -- mowing, edging, planting, pruning, applying pesticides, operating power equipment in variable outdoor conditions -- require physical presence, sensory judgment, and contextual adaptability that LLMs cannot provide. The Eloundou methodology explicitly excluded tasks requiring a high degree of physicality from LLM exposure scores. The primary AI risk channel for this occupation is not LLMs displacing the workers directly but robotic systems (autonomous mowers, smart irrigation) reducing the labor-hours per maintained acre on specific site types. The -5% figure represents a conservative estimate of the indirect channel: AI scheduling tools reducing the number of workers needed to manage equivalent route volumes.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereMow, edge, and maintain turf on commercial, municipal, and residential properties using ride-on and push mowers

Mow, edge, and maintain turf on commercial, municipal, and residential properties using ride-on and push mowers; on large flat sites, deploy and monitor autonomous robotic mowers (e.g. Husqvarna Automower EPOS), setting boundary zones, reviewing fleet telemetry, and intervening when robots encounter obstacles or terrain the system cannot resolve.[3],[9],[2]

Where your edge is

Learn to operate robotic mower fleet management software (Husqvarna Fleet Services or equivalent). Workers who can deploy, diagnose, and maintain autonomous mowing units are promoted to site technician roles; those who only operate walk-behind mowers face shrinking roles on large commercial contracts.

AI is sitting alongside you hereSupport landscape proposals and estimates: help measure and photograph site conditions

Support landscape proposals and estimates: help measure and photograph site conditions; use property measurement tools (e.g. Aspire PropertyIntel) to generate aerial takeoffs; assist with plant selection and layout sketches in design software (DynaSCAPE, iScape) for client presentations.[6],[13]

Tools picking this up
Where your edge is

Learn Aspire or Jobber estimating workflows. AI-generated property takeoffs compress proposal time from hours to minutes, but someone still needs to finalize plant specs, adjust for site conditions, and present to the client. Workers who own the proposal step earn more and work in less physically demanding conditions.

AI is sitting alongside you hereTrack and report job completion, equipment condition, and supply usage via mobile field apps (e.g

Track and report job completion, equipment condition, and supply usage via mobile field apps (e.g. Jobber); receive AI-optimized daily route and schedule; log time and materials for invoicing; flag unexpected site conditions (pest damage, irrigation breaks, hazardous trees) for supervisor follow-up.[5],[14]

Tools picking this up
Where your edge is

Become the crew member who owns the field app. Workers comfortable with Jobber or Aspire mobile (logging time accurately, submitting photo documentation, and using the AI-generated quote features) transition more easily to crew lead and operations coordinator roles.

Where this role is heading

Natural next steps for someone with your foundation: not exits, evolutions.

A direction you could grow

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

Most landscaping supervisors are promoted from crew worker roles; direct field experience is the primary qualification. The shift is driven by demonstrated reliability, equipment expertise, and willingness to manage crew scheduling and customer communication. Workers who adopt field service software (Jobber, Aspire) and robotic equipment operation stand out as supervisor candidates because they are already doing the technology management that supervisors now handle. Median wages for supervisors are roughly 50% higher than for workers.

What you'd add
  • · Crew scheduling and performance management using Jobber or Aspire
  • · Safety training and OSHA 10 certification for grounds and equipment operations
  • · Customer communication: upselling additional services, handling complaints, and producing site inspection reports
  • · Pesticide applicator license (if not already held) to supervise licensed applications
What it takesMost of your skills carry over
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The data behind this timeline

On record since1858
Latest tracked employment1,192,500 (US, 2024)
Latest median pay$38,090 (2024)
Outlook+3.6% by 2034 (BLS National Employment Matrix 2024-34)
View all 31 cited data points
YearUS employmentMedian annual paySource
18594,000n/aESTIMATE
190075,000n/aCENSUS-DECENNIAL
1950200,000n/aESTIMATE
1952n/a$2,100ESTIMATE
1979400,000n/aESTIMATE
1988n/a$11,960BLS-CPS
1996n/a$15,600BLS-CPS
2000820,000n/aBLS-OEWS
2002n/a$19,760BLS-OEWS
2003819,780$19,940BLS-OEWS
2004860,200$20,420BLS-OEWS
2005896,690$20,670BLS-OEWS
2006924,330$21,260BLS-OEWS
2007932,730$22,240BLS-OEWS
2008921,900$23,150BLS-OEWS
2009859,960$23,480BLS-OEWS
2010829,350$23,400BLS-OEWS
2011821,750$23,410BLS-OEWS
2012830,640$23,570BLS-OEWS
2013839,780$23,940BLS-OEWS
2014868,770$24,290BLS-OEWS
2015895,600$25,030BLS-OEWS
2016906,570$26,320BLS-OEWS
2017912,360$27,670BLS-OEWS
2018913,480$29,000BLS-OEWS
2019912,660$30,440BLS-OEWS
2020872,370$31,730BLS-OEWS
2021892,450$34,430BLS-OEWS
2022914,230$35,890BLS-OEWS
2023929,930$37,360BLS-OEWS
20241,192,500$38,090BLS-OEWS
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