Smart Water: How AI is Powering the Middle East’s Energy Shift

AI moves into daily plant operations as Saudi Arabia and UAE widen digital water-management efforts

5 Nov 2025

Artificial intelligence is beginning to play a larger role in managing produced water across the Middle East’s energy industry, as companies and regulators integrate digital tools to improve monitoring, treatment and reuse.

Saudi Aramco has detailed how AI and large datasets are being added to existing workflows to classify produced-water sources and forecast properties that guide reuse or disposal. The models are being deployed alongside conventional sampling and laboratory analysis and are linked to wider operational platforms.

Progress accelerated in October 2025 with the completion of an industrial AI project at one of Aramco’s facilities, signalling that digital systems are shifting from pilot trials to routine plant activity. At the same time, authorities in the United Arab Emirates launched an AI system for water and energy management designed to support planning across networks rather than individual sites.

The initiatives come as governments in water-scarce Gulf economies seek tools that can reduce pressure on freshwater supplies. Digital models can anticipate changes in water quality, adjust treatment steps, cut chemical use and identify options for recycling. Officials say the approach supports national sustainability plans by reducing trucking volumes and improving environmental performance while maintaining operational reliability.

Adoption remains uneven. Companies still face obstacles integrating AI with older infrastructure, securing reliable data and working within regulatory boundaries. But industry executives and policymakers expect digital water management to become a central part of regional energy strategies as operators look to convert a long-standing operational burden into a more efficient and predictable process.