Displaying items by tag: AI

US: The American Cement Association expects that data centres will need 1Mt of cement by 2028 as investment in artifical intelligence technology rises. 

Data centres are projected to consume 247,000t of cement in 2025 and 860,000t by 2027. There were 5426 operational AI data centres in the US at the end of March 2025, with the number reportedly expected to exceed 6000 by 2027. However, the association warned that there could be challenges in meeting this demand, such as regulatory hurdles and labour shortages.

US: Researchers at the Massachusetts Institute of Technology (MIT) have developed an AI tool to compare studies of alternative raw materials for cement production. A collaborative team from the MIT Concrete Sustainability Hub and MIT’s recycling research programme, Olivetti Group, published its findings in the Nature journal. The team mined 5.7m academic publications to identify 14,434 alternative raw materials. These belonged to 19 ‘types,’ including bottom ashes, fly ashes, calcined clays and slags, as well as less homogenous types such as biomass ashes, glasses and mine tailings. The study more than doubles the number of fly ashes and slags recorded on a database of this kind. The tool then provides a unified assessment of cementitious reactivity and pozzolanicity, also accounting for variables in particle size and amorphous content.

Anhui Conch Cement held an event in Wuhu, China, this week showcasing its new artificial intelligence (AI) model for the cement sector. The cement company and Huawei started the project in April 2024 with the support of the China Building Materials Federation. The companies say they have now identified over 200 “promising AI application scenarios across 15 categories” across the entire production process from quarrying to packaging and logistics. Conch has set up an AI training centre using the Huawei Cloud Stack product. It is using Huawei’s Pangu prediction, computer vision (CV) and natural language processing (NLP) models to create an AI operating system that integrates central training, edge inference, cloud-edge synergy, continuous learning and ongoing optimisation.

Thankfully Huawei gave some examples of what this actually meant for operators in the real world. The model is able to give real-time recommendations of key quality features enabling the prediction of three-day and 28-day clinker strength. The predicted strength values closely match test results, with deviations within 1MPa and an accuracy rate exceeding 85%. Other benefits include reducing kiln fuel consumption by 1%, monitoring and managing various components and machines along the production line, staff safety gains and creating a ‘smart digital assistant’ that can answer technical questions from employees.

Little of this seems particularly novel, so far, compared to what other companies are already doing in this field. For example, ABB said in early 2022 that it was using machine learning to predict 28-day strength on the day of sampling and in 2023 that it was doing it using production data provided every two - three hours. Another example is the work that Inform does using AI-based software to support logistics for heavy building materials. Plenty of other western-based companies also offer production optimisation and/or predictive maintenance products.

Conch’s use of an NLP model to create a knowledge base assistant does seem new for the cement sector. Although how specific the software running it might be to one business or industrial area remains to be seen. One could easily imagine this kind of product being sold to lots of different kinds of industries in the manner of current enterprise style software. Along these lines though, Juan Beltrán, digital manager of global sales excellence at Holcim, told McKinsey in an interview about Holcim’s pilot project in Spain testing an AI-enabled copilot customer-ordering assistant via WhatsApp.

Recent events in AI for the cement sector include ABB’s agreement to work with UK-based Carbon Re in late 2024. This collaboration was intended to combine ABB's expertise in automation and process control with Carbon Re's AI and machine learning technologies. It followed a pilot at a cement plant in the Czech Republic. On the producer side, Holcim said in mid-2024 that it was preparing to expand the use of AI-based software to 100 production plants by 2028. It noted that it had installed the system at 45 plants so far at the time of this announcement and that it was using a predictive maintenance solution from software supplier C3 AI. Titan Cement said that it had invested in Spain-based AI software supplier Optimitive in February 2025. Then, Cemex announced this week that it too had invested in Optimitive, via its corporate venture capital arm Cemex Ventures. Molins has also worked with Optimitive.

What isn't being disclosed much are the examples of the mistakes of introducing AI into cement production. These are valuable learning opportunities for any company implementing this kind of software. However, the developers and cement producers are extremely unlikely to admit anything publicly. Global Cement Weekly has heard off-the-record information previously about AI projects at cement plants that have gone wrong but we can’t reveal it either. To his credit though Beltrán mentions an incident, in his interview with McKinsey, where the WhatsApp ordering assistant was tricked during testing into almost placing an order for a truck of gazpacho soup!

We’re still watching how AI is being deployed in heavy industries such as cement. The announcement by Conch is exactly the kind of thing its peers are doing around the world. So far what they’ve done is impressive but not unique. Yet, China’s large but shrinking cement sector and its determination to develop its own AI-based software sector may start to deliver more cutting-edge advances in the future. Companies elsewhere are also pressing ahead to find out how AI products will deliver efficiency gains.

China: The China Building Materials Federation, Conch Group and Huawei have partnered to showcase their AI model for the cement industry. Conch Group and Huawei began constructing the model in April 2024 with federation support. Since then, they have identified over 200 AI application scenarios across 15 categories spanning the entire production process, from mining to shipment. The model can reportedly predict the strength of clinker with an 85% accuracy rate and can allow for a reduction in coal consumption.

Mexico: Cemex has executed an investment agreement with Spain-based AI and analytics company Optimitive through its corporate venture capital arm Cemex Ventures. The company seeks to scale Optimitive’s solution across its operations as part of its Digital Innovation in Motion programme. It aims to significantly reduce energy consumption while increasing production efficiency by ‘double-digit percentage points’, according to a press release.

Alfredo Carrato, investment and open innovation advisor at Cemex Ventures, said “We are excited about this partnership with Optimitive, given the impressive results they have already achieved in Europe and the US in projects to date with Cemex.”

Europe: Titan Cement has invested in AI solutions provider Optimitive, to reinforce the use of AI for the optimisation of its plants. The producer aims to continue to improve its productivity and efficiency through this investment. The investment follows Titan Cement's implementation of Optimitive's Optibat software at its plants in order to improve their operational performance, reduce energy consumption and curb CO₂ emissions.

Fernando de la Prida, CEO of Optimitive, said "For Optimitive, the investment by Titan, one of the main players in the cement market, demonstrates the strength of the company, the cutting-edge technology built inside our product and the high level of satisfaction of our customers."

Switzerland: ABB has entered into a memorandum of understanding with UK-based climate tech company Carbon Re, to explore integrated solutions aimed at accelerating the decarbonisation of cement production while improving productivity. The collaboration will reportedly combine ABB's expertise in automation and process control with Carbon Re's AI and machine learning technologies. The partnership follows a successful pilot at a cement plant in the Czech Republic, where ABB plans to augment its ‘Ability Expert Optimizer’ solution with Carbon Re's AI platform. This integration is expected to automate and optimise plant conditions, potentially reducing specific energy consumption by up to 5% and increasing alternative fuel use by 50% by maintaining optimal kiln conditions.

CEO at Carbon Re, Josh Vernon, said “At Carbon Re we are accelerating industrial decarbonisation through the use of cutting-edge AI – our models have demonstrated that AI can find efficiencies within the complex chemical processes of material production, especially cement.”

Global portfolio manager for Business Line Digital, ABB Process Industries, Tyron Vardy said “Driving down the emissions of cement production is a pressing priority for the industry. Our collaboration with Carbon Re will bring us closer to achieving this. Enhanced by cloud-based AI technology, our decision support software will be able to help customers enhance and improve the efficiency of their systems faster than ever before.”

Switzerland: Holcim plans to expand the use of artificial intelligence (AI)-based software at 100 production plants by 2028. The company will use the technology for predictive maintenance, in order to increase operational efficiency and resilience. It has installed the system at 45 plants to date. C3 AI is providing its predictive software products, and the group is also piloting generative AI techniques.

Holcim CEO Miljan Gutovic said "AI is a transformative technology that will revolutionise our industry. Already widely embedded across Holcim, AI catalyses operational efficiency and enhances customer service.”

Brazil: Votorantim Cimentos plans to invest US$1bn in expanding its Brazilian operations in the period up to the end of 2028. US$304m-worth of the investments are already underway at the start of 2024. Reuters has reported that the investments include cement plant projects to raise Votorantim Cimentos’ Brazilian cement production capacity by 8.8% to 37Mt/yr. These include a US$162m investment in a 20% capacity expansion to its Votorantim cement plant and a US$60.8m, 1Mt/yr expansion to its Salto de Pirapora plant. Further aims are to ensure structural competitiveness, raise energy efficiency and digitise operations, including applying artificial intelligence (AI) to freight. The producer expects its earnings before interest, taxation, depreciation, and amortization (EBITDA) to eventually rise by US$263/yr between 2023 and 2028 as a result.

Spain: Cemex’s venture capital unit Cemex Ventures announced the launch of its second LeapLab accelerator programme for high-potential start-ups on 30 November 2023. The programme introduces a cohort of five start-ups from around the globe, which will carry out pilot-scale tests of their technologies across 100 Cemex sites in 12 different countries. Throughout the process, experts from Cemex and partner organisations will support the work of the start-ups as mentors, pilot leaders, speakers and assistants, as well as providing business advice and support in network building. The selected start-ups are AI technology developers Introid, Mixteresting and Verusen, hybrid vehicle fuel optimisation company Movener and water monitoring specialist Waterplan.

Cemex’s executive vice president of digital and organisation development Luis Hernández said “Start-up acceleration is a key pillar of Cemex’s open innovation strategy, since the time to scale the technologies that enable us to build a better future is now. By combining the disruptive solutions and agility of start-ups with Cemex’s extensive industry networks and resources, start-up acceleration is a vehicle for tangible innovation generation.”