How the UAE Can Leverage Its AI Infrastructure to Pioneer the Materials of Tomorrow


This story, titled "The UAE’s AI advantage can help build the materials of tomorrow" First published on The National and was retrieved from its original source on September 4, 2026.
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In the global race to build artificial intelligence and compute capability, the UAE has established a definite lead. MGX, a $100 billion sovereign AI investment vehicle, is based here, while Stargate UAE is set to become the largest data centre campus outside the US. Furthermore, the UAE has secured an agreement with Washington allowing for the import of 500,000 advanced Nvidia chips annually. The crucial question now is how best to utilize this infrastructure head-start to generate long-term impact and greater prosperity.
As an Emirati pioneer in materials science and nanoengineering, I believe the country has an invaluable opportunity to put its growing AI infrastructure to work in materials discovery. This is the process of finding, designing, and understanding new materials with useful properties, ranging from metals, plastics, ceramics, composites, semiconductors, batteries, and nanomaterials to entirely new substances engineered at the atomic level. Almost every major technological advance, from computer-powering silicon chips to lightweight carbon-fibre composites in aerospace, begins with a breakthrough in materials.
Traditionally, materials discovery has been among the slowest processes in industrial science, typically taking 15 to 20 years of repeated synthesis, testing, and failure. However, with the advancement of machine learning and AI, this timescale has radically transformed. Over the past three years, AI has helped cut the time needed to discover new materials to a matter of months, shifting the paradigm from slow trial and error to a faster prediction-based approach.
Machine-learning models trained on materials databases can accurately predict a material's performance—including strength, conductivity, heat and corrosion resistance, and catalytic properties—before scientists even manufacture it in the laboratory. The potential is immense, with AI tools like Gnome having identified 2.2 million new crystals in less than a month, equivalent to about 800 years of traditional scientific knowledge.
For the UAE, whose long-term economic goal is to become a knowledge-based, innovation-driven economy, prioritising advanced materials discovery is both a scientific ambition and an economic necessity. Advanced materials sit upstream of every strategic supply chain, including semiconductors, energy storage, aerospace, water treatment, and defence platforms.
Using this AI infrastructure can significantly improve productivity in the hydrocarbons sector through more durable pipelines, corrosion-resistant alloys, better catalysts, and AI-optimised carbon capture, helping the nation extract more value from existing energy assets while cutting costs and emissions. Additionally, advances in batteries and hydrogen storage will support the UAE's clean-energy demands and water security goals through next-generation desalination.
By investing in AI-enabled materials discovery today, the UAE can strengthen strategic industries, develop exportable intellectual property, attract high-value talent, and reinforce its position as a global hub for technological innovation. Integrating this technology into university research programmes at institutions like Khalifa University and Mohamed bin Zayed University of Artificial Intelligence will further cultivate a new generation of local researchers, securing a strong foothold in the global advanced materials industry.
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