
Amazon and AI: A 17.2 Million Plan to Combat Floods and Improve Water Management in Aragon
Artificial intelligence (AI) is playing a crucial role in water management and the prevention of natural disasters. In this context, Amazon Web Services (AWS) has announced a €17.2 million investment in Aragon, Spain, with the aim of applying AI to optimise water use and reduce flood risk.
This initiative is part of the digital transformation of the region, which has already become a key technological hub in Europe thanks to AWS’s data centre infrastructure. The company seeks to improve water efficiency through intelligent systems that enable a faster and more effective response to extreme weather events.
Aragon: A Strategic Point for AWS Technology
In recent years, Aragon has attracted significant investments in technological infrastructure. In 2024, AWS allocated €15.7 billion to the expansion of its cloud infrastructure in the region, consolidating its presence as a key player in Spain’s digital ecosystem.
Now, with this new investment, Amazon is not only strengthening its commitment to innovation, but also addressing a critical challenge: sustainable water management in a region facing increasing risks of droughts and floods.
The Three Axes of the Project
The investment will focus on three main areas that will improve the region’s water resilience.
Flood Early Warning System
The implementation of advanced sensors and predictive AI models will allow real-time monitoring of water levels and weather conditions. This will facilitate early detection of potential flooding, sending alerts to emergency services and reducing damage in vulnerable areas.
Irrigation Optimization in Agriculture
Using AI, a system will be developed that will adjust crop irrigation based on weather data and soil conditions. This technology will allow for more efficient use of water in agriculture, reducing waste and improving productivity in the sector.
Modernization of water infrastructure
AWS will also work on modernising the water supply network in Huesca, incorporating leak detection and supply optimisation systems. This will ensure more stable and secure access to water for the local population and industries.
Impact on the Community and the Economy
AWS’s plan not only has implications for water sustainability, but also generates a positive impact on the local economy. It is expected to create specialized jobs in technology and water resource management, as well as attract new investments in the digital and environmental sectors.
El presidente del Gobierno de Aragón, Jorge Azcón, destacó que esta iniciativa se alinea con la visión de una gestión hídrica responsable, donde la tecnología no solo optimiza el consumo de agua, sino que también contribuye a su preservación para futuras generaciones.
Environmental Challenges and Considerations
Despite its benefits, the expansion of data centers in Aragon has raised concerns about its environmental impact. Environmental organizations warn about the high water consumption of these infrastructures, which could generate tensions in a region with limited water resources.
AWS has responded to these criticisms by ensuring that its facilities in Aragon will operate with 100% renewable energy and that water efficiency strategies will be implemented to minimize their impact. However, the need for constant monitoring and transparency policies remains a key issue in the debate.
A Model for the Future?
The combination of AI and sustainability in water management could become a replicable model at a global level. If the AWS initiative in Aragon manages to demonstrate its effectiveness without compromising local ecosystems, it will serve as a reference for other regions seeking technological solutions to environmental challenges.
The balance between innovation and sustainability will be decisive for the success of this project. In the meantime, Aragon is positioning itself as a laboratory for digital transformation and intelligent water management, with artificial intelligence as a key ally in the fight against climate change.