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Paint walls, equipment, buildings, bridges, and other structural surfaces, using brushes, rollers, and spray guns. May remove old paint to prepare surface prior to painting. May mix colors or oils to obtain desired color or consistency.
The occupation “Painters, Construction and Maintenance” currently has an automation risk of 20.8%, only slightly below the base risk of 21.1%. This means that, while some elements of the job are susceptible to automation, a significant majority of tasks still require human intervention. Although advances in robotics and artificial intelligence have led to increased mechanization in some construction roles, the intricate and varied nature of painting work acts as a barrier to widespread automation. Painting tasks must often be completed in diverse, unpredictable environments that present physical and logistical challenges not easily addressed by standard machines or automated tools. As a result, only a modest portion of the core activities could feasibly be automated with current technology. The most automatable tasks for painters include filling cracks, holes, or joints with filler materials using caulking guns or putty knives; covering surfaces with dropcloths or masking tape and paper for protection during the painting process; and smoothing surfaces with sandpaper, scrapers, brushes, steel wool, or sanding machines. These activities are relatively standardized, repetitive, and physically focused, making them compatible with automation solutions like robotic arms, specialized sanders, or masking devices. As such, these processes could be performed by machines with minimal oversight, reducing some of the manual labor involved in preparation and finishing. However, certain tasks remain highly resistant to automation, ensuring humans will continue to play a vital role in this occupation. These include baking finishes on painted or enameled articles using specialized ovens, spraying or brushing hot plastics or pitch onto surfaces, and waterproofing buildings with proprietary waterproofers or caulks. These activities require advanced procedure management, keen attention to surface characteristics, and a nuanced understanding of application techniques—which current automated systems struggle to replicate reliably. In addition, bottleneck skills for this job category, particularly originality (rated at 2.3% and 2.0%), reveal that creative decision-making and adaptation are integral to the work, further safeguarding many painting tasks from full automation in the foreseeable future.