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NEWS16 CPI %u2013 Concrete Plant International | India Edition %u2013 5 | 2025 www.cpi-worldwide.comterial types. They also aim to experimentally validate the most promising candidates. This research demonstrates how AI technologies are accelerating innovation in concrete science and engineering. By automating complex material screening processes that would previously require extensive manual testing and literature review, AI enables promising SCMs to be identified at a greater speed and scale. This not only shortens development timelines but also opens the door to a wider range of materials, including locally sourced industrial byproducts and natural minerals that may have previously been overlooked. As a result, concrete producers gain new opportunities to design more resource-efficient mixes tailored to specific environmental and economic goals. In doing so, AI supports industry efforts to reduce carbon emissions while maintaining strength, durability, and safety standards.The work was conducted by the MIT Concrete Sustainability Hub (CSHub) [3] %u2013 supported by the Concrete Advancement Foundation [4] %u2013 and the Olivetti Group [5], with additional funding from the MIT-IBM Watson AI Lab [6]. Authors of the study include Dr. Soroush Mahjoubi, Dr. Vineeth Venugopal, Dr. Ipek Bensu Manav, Dr. Hessam AzariJafari, Dr. Randolph Kirchain, and Professor Elsa Olivetti. n[1] https://www.astm.org/[2] https://store.astm.org/c1897-20.html[3] https://cshub.mit.edu/[4] https://www.concreteadvancement.org/[5] https://olivetti.mit.edu/[6] https://mitibmwatsonailab.mit.edu/[7] https://www.nature.com/articles/s43246-025-00820-4Global availability of reactive materials with pozzolanic (top) or hydraulic (bottom) behavior, shown by number of identified locations per country. [7]