Can AI make waves in your water utility?

According to Bluefield Research, AI is poised for rapid growth through 2030 in the water sector, making it crucial for organizations to question what it takes to implement AI in their operations. The primary motivators for AI adoption, such as compliance deadlines, workforce shortages, and operational efficiencies—through automation of complex systems and early leak detection—highlight the inevitability of AI for water utilities. Understanding the barriers to adoption is essential for organizations questioning how and when to implement AI. 

Recent examples, such as energy optimization, pipe replacement optimization, or generative design, confirm the value of AI but highlight areas that need attention. In agreement with Bluefield, we believe the top three barriers from an industry view include: 

For smart water utilities, overcoming these barriers to AI adoption requires financial investment, time, and training upfront. Understanding the key questions that are top-of-mind throughout an organization is essential to making the right decision and successfully implementing AI in digital water strategies. 

Thinking about implementing AI? Consider this. 

C-Suite: Does the implementation of AI support our objectives, and will it deliver sustainable value?

Case studies compiled by Bluefield Research from utilities around the world highlight common operational improvements achieved through artificial intelligence. When applied correctly, AI helps manage costs by avoiding rate increases, growing the general fund at utilities, and increasing profitability through optimized resource utilization and reduced expenditures. Additionally, AI provides connected and reliable data, enabling early responses to operational failures such as leaks, which minimizes downtime and service disruptions.

Procurement: Can AI solutions really bring value to our organization? 

Several factors will influence the scale and scope of the initial investment required for AI implementation, including infrastructure costs, data management, training and change management, and ongoing maintenance and support. However, the gains from implementing AI—especially in smart water utilities and digital water strategies—are significant regardless of upfront costs. 

The following graphic outlines the value opportunities across the entire water cycle because of AI implementation: 

AI has the capacity to drive efficiencies throughout the entire water cycle. By pinpointing where your operations are impacted by technical and physical issues, AI will help identify where investments need to be made to bring the most value to your organization. 

IT/Technology: What data infrastructure do we need to support AI implementation? 

To support AI implementation in the water sector, robust and scalable data infrastructure is crucial. This infrastructure should encompass high-capacity data storage solutions, ensuring real-time data processing and integration capabilities. Cloud-based platforms can provide the necessary flexibility and scalability, allowing for the storage of vast amounts of data generated by IoT sensors and monitoring systems. Additionally, robust data pipelines must be established to ensure seamless data flow from collection points to AI algorithms, facilitating timely analysis and decision-making. Advanced analytics and machine learning models require powerful computational resources, which can be provided through high-performance computing clusters or cloud-based solutions.

Technical experts and specialists: How will this impact the way I work? 

Change in the workplace can, at times, seem daunting, but the impacts of AI on the workforce are clear. In simple terms, AI can automate repetitive tasks and process data at an expedited speed to help operators manage challenges quickly. Additionally, AI-driven simulations can optimize water distribution networks, improve resource allocation, reduce waste, and facilitate real-time water quality monitoring and rapid response to contamination events, ensuring public safety. By automating routine tasks and providing deeper insights, AI will allow water experts to focus on strategic planning and innovation, ultimately enhancing the sustainability and resilience of water management systems.

At a glance, Bluefield Research has compiled a summary of the anticipated changes AI will bring to roles: 

Utility new roles: 

At Arcadis, we’ve embraced AI tools to help streamline and enhance the way we work. Our innovative Asset Generator, powered by Autodesk, exemplifies this approach by streamlining design visualization, enabling our technical experts and designers to collaborate seamlessly on a unified platform. While AI often raises concerns about job displacement, our Asset Generator highlights how we've integrated AI to enhance productivity and efficiency without compromising the need for technical expertise. This tool empowers our team to focus on higher-value tasks, demonstrating that AI can be a powerful ally in advancing digital water strategies and improving outcomes for smart water utilities.

Human resources: How can we responsibly and ethically implement AI? 

One of the top concerns related to implementing AI is not having staff or consultants who know how to use or manage AI. This concern becomes a fundamental principle for how AI should be implemented. As AI is integrated into a system, it is essential to create clear lines of communication and provide upskilling and digital training for water utility teams, ensuring they are well-equipped to harness this technology effectively.

According to Autodesk, 39% of professionals believe that AI can help automate mundane, repeatable tasks, freeing time for staff to focus on more complex and critical activities and resulting in more meaningful work. Furthermore, AI can play a crucial role in bridging the skills gap and addressing workforce shortages, particularly in the face of an aging water workforce. By leveraging AI, organizations can support their employees in adapting to evolving industry demands and ensure the continuity and excellence of their services. 

Making AI implementation a reality 

Once an organization has decided to implement AI, the next steps are crucial to ensure a successful integration. Consider these next steps: 

The promise of AI is great, but it’s important to ensure your organization experiences the benefits of its implementation by properly planning. 

In our next article, we’ll dive deeper to understand how AI can enable performance improvements through automation and discuss water security and safeguarding digital water systems against hacking. 

AI for Water: A game-changer or a pipe dream?

Paired with human intelligence, AI has the power to tackle many of the water sector’s most pressing problems. But, what are the key building blocks to be considered when it comes to AI and water?

Learn more