First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers
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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.
The occupation "First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers" carries an automation risk of 54.5%, which is closely aligned with its base risk of 55.4%. This means that just over half of the tasks performed in this role could potentially be automated, primarily because many core job duties involve routine managerial functions and standardized operational procedures. For instance, the most automatable tasks include establishing and enforcing operating procedures and work standards, scheduling work for crews based on various logistical factors, and touring grounds to inspect the conditions of plants and soil. These responsibilities largely rely on process adherence, scheduling optimization, and straightforward observation—tasks that can be increasingly managed by algorithms and sensor-driven technologies. Despite the moderate risk of automation, there remain significant aspects of this supervisory occupation that are more resistant to replacement by technology. The top resistant tasks require a higher degree of personal interaction, nuanced judgment, and technical expertise. For example, negotiating with customers about service fees involves communication skills, emotional intelligence, and contextual understanding that current automated systems struggle to replicate. Similarly, designing or overseeing the installation of sprinkler systems demands the ability to calculate site-specific requirements and adapt to unforeseen challenges. Direct involvement in tasks like snow removal, pouring curbs, or repairing sidewalks embodies hands-on problem-solving and adaptability, areas where automation faces substantial practical and technical hurdles. The most persistent bottleneck skills anchoring human involvement in this occupation are related to originality, with related skill scores of 2.9% and 3.0%. Originality encompasses the ability to develop novel solutions, tailor approaches to unique circumstances, and inject creative thinking into problem-solving—traits that remain exceptionally difficult for most current automated systems to emulate. The presence of these bottleneck skills means that while many routine, repetitive, or data-driven aspects of supervisory work might be automated, the occupation as a whole will continue to rely on human supervisors for tasks that demand innovative thinking and adaptability. Thus, the overall automation risk reflects a balance between the efficiency gains from technology and the enduring need for uniquely human qualities in leadership and complex problem-solving.