Water/Wastewater Engineers
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Design or oversee projects involving provision of potable water, disposal of wastewater and sewage, or prevention of flood-related damage. Prepare environmental documentation for water resources, regulatory program compliance, data management and analysis, and field work. Perform hydraulic modeling and pipeline design.
The occupation of Water/Wastewater Engineers has an automation risk of 47.3%, which closely aligns with its base risk of 48.2%. This moderate level of automation risk reflects the blend of highly technical, procedural tasks—many of which are increasingly amenable to automation—and tasks that require advanced, context-specific expertise. As advanced algorithms and computer-aided design (CAD) technologies develop, the automation of routine and structured components of water and wastewater engineering becomes more feasible. Automatable tasks, such as providing technical direction or supervision to junior engineers and CAD technicians, are ripe for automation given the rise of sophisticated project management software and expert systems that can offer real-time feedback and coordination. Additionally, tasks like reviewing and critiquing proposals, plans, or designs related to water or wastewater treatment systems are increasingly being handled by specialized AI tools. These tools can apply standardized codes, detect design flaws, and ensure regulatory compliance faster and more consistently than manual reviews. Likewise, the actual design of domestic or industrial water and wastewater treatment plants often involves repetitive calculations, simulations, and optimization—activities that are efficiently automated using advanced software. Automating these top tasks can substantially reduce human intervention, driving the overall automation risk close to the base rate. Despite the trend toward automation, significant portions of the water/wastewater engineering role remain resistant to full automation, mainly due to the need for originality and complex reasoning. Tasks such as performing mathematical modeling of underground or surface water resources, conducting environmental impact studies, and gathering and analyzing water use data to forecast demand require creative problem-solving, judgment in dealing with unique environmental variables, and an understanding of broader ecological impacts. Bottleneck skills such as originality, measured at 3.6%–3.9%, underscore the occupation’s reliance on creative and innovative thinking to handle nuanced engineering challenges. These more resistant tasks help keep the automation risk below 50%, indicating that while automation will shape the role, human expertise will remain essential for the foreseeable future.