Landscaping and Groundskeeping Workers
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Landscape or maintain grounds of property using hand or power tools or equipment. Workers typically perform a variety of tasks, which may include any combination of the following: sod laying, mowing, trimming, planting, watering, fertilizing, digging, raking, sprinkler installation, and installation of mortarless segmental concrete masonry wall units.
The occupation "Landscaping and Groundskeeping Workers" has an automation risk of 19.0%, slightly below its base risk of 19.2%. This moderate risk level reflects the blend of repetitive, easily-systematized tasks with others requiring human judgment or adaptability. Many core activities in this field involve physical labor and interaction with natural environments, where full replication by automation remains somewhat challenging. The sector does see encroachment from technology in areas such as ride-on lawnmowers, robotic trimmers, and automated litter pickers, which justifies the non-negligible base risk. Yet, complexity and irregularity inherent to outdoor work slow down the transition to completely automated solutions. The most automatable tasks in landscaping and groundskeeping are those that are highly repetitive or dependent on machinery. For example, "gather and remove litter" is straightforward and well-suited to automation, given the success of automated cleaning robots in other sectors. Using hand tools such as shovels, rakes, or trimmers is also automatable where robot dexterity and vision systems can handle simple, repetitive motions. Operating vehicles and powered equipment, including mowers, tractors, and blowers, is already being partly automated and requires less human oversight as technology advances. These tasks feature predictable settings or actions, making them amenable to algorithmic control or robotic platforms. However, several core responsibilities remain highly resistant to automation. Building forms and mixing and pouring cement to form garden borders involve creative problem-solving, adaptation to terrain, and careful judgment—traits difficult for robots to match. Likewise, hauling or spreading topsoil and straw over uneven, changing landscapes still requires nuanced physical abilities and decision-making. Offering advice to customers about plant selection or care necessitates complex communication and expert knowledge, demanding a human touch for satisfactory results. The bottleneck skill for automating these resistant tasks is "Originality," at very low levels (2.0% and 1.9%). This indicates that even as robots handle more of the routine work, genuine creativity and tailored advice retain their importance, ultimately limiting widespread automation in this field.