Researchers at the University of Toronto are harnessing the power of artificial intelligence (AI) to enhance the efficiency of green hydrogen production, a key element in reducing carbon emissions in industries like heavy industry and long-haul transportation. By focusing on catalyst development, the team led by Jehad Abed has employed AI to analyze over 36,000 metal oxide combinations, significantly speeding up the search for an optimal alloy. Through virtual simulations, a specific combination of ruthenium, chromium, and titanium was identified as a promising catalyst, outperforming the benchmark metal in stability and efficiency. The AI program's success, as published in the Journal of the American Chemical Society, signals a breakthrough in catalyst discovery for green hydrogen production. While further testing is necessary to confirm its real-world applicability, the findings showcase the transformative potential of AI in revolutionizing sustainable energy solutions. AI is playing a vital role in various aspects of green hydrogen production, from optimizing electrolyzer manufacturing to improving renewable energy system design and supply chain management. By leveraging AI, the green hydrogen industry aims to address key challenges such as high production costs and scalability, paving the way for a more sustainable and efficient energy future. The University of Toronto's innovative approach highlights the importance of AI-driven technology in driving forward the transition towards cleaner energy sources.