ArcelorMittal partners AWS to bring AI, cloud and edge technologies to steel production operations

It will see ArcelorMittal deploy AI-driven predictive maintenance, digital twins and real-time process optimisation across its global manufacturing footprint while advancing lower-carbon steel adoption.

ArcelorMittal has announced a collaboration with Amazon Web Services (AWS) to work on industrial automation across its global steelmaking operations through cloud, artificial intelligence and edge technologies.

The partnership will bring AWS' cloud and AI capabilities directly into ArcelorMittal's manufacturing environments, helping the steelmaker to optimise production processes, improve asset reliability, enhance worker safety and increase energy efficiency.

As part of the initiative, ArcelorMittal will converge elements of its operational technology (OT) and information technology (IT) environments on AWS infrastructure, extending cloud and AI capabilities to the edge of production operations.

In present times, across industrial sectors, manufacturers are looking to embed AI closer to operational systems rather than limiting its use to enterprise applications and analytics platforms.

According to the companies, the collaboration will leverage AWS services across industrial Internet of Things (IoT), real-time sensor data processing and machine learning to support a range of production-focused use cases.

These include predictive maintenance, computer vision-based quality control, process optimisation and the creation of digital twins of physical assets and production lines.

AWS’ managing director and vice president, EMEA, Tanuja Randery, said the collaboration will focus on bringing AI directly to the point of production.

"ArcelorMittal is rethinking how steelmaking works, from predictive maintenance on furnaces and other industrial installations to AI-driven energy optimisation," Randery said.

"By bringing AI to the point of production, they are creating new ways of running safer, more efficient operations across steelmaking sites in 14 countries."

The partnership also includes a workforce transformation component.

Looks to scale AI adoption

AWS will design and deliver a comprehensive education programme to help ArcelorMittal's global workforce develop skills around digital technologies, cloud platforms and artificial intelligence.

For ArcelorMittal, the initiative represents the next stage of its digital transformation strategy as it looks to scale AI adoption across its steelmaking operations.

ArcelorMittal’s Group CIO and CISO, Nik Puri, said the focus is shifting from enterprise-level digitisation to operational transformation on the plant floor.

"The next frontier of digital transformation for steel is on the plant floor," Puri said.

"With AWS, we are bringing cloud and AI directly to the point of production, connecting our assets and building plants that sense, learn and optimise in real time."

According to Puri, converging operational and information technology environments on a common platform will help the company create digitally enabled operations that are safer, more reliable and more sustainable.

The collaboration extends beyond industrial AI and automation.

Amazon has also entered into a multi-year Supply Framework Agreement with ArcelorMittal for the supply of structural steel across Europe and the United Kingdom.

Under the agreement, ArcelorMittal will provide its lower-carbon XCarb steel for use in Amazon operational facilities and AWS data centres.

The companies said the agreement supports Amazon's commitment to achieve net-zero carbon emissions by 2040 while advancing the decarbonisation of construction projects at scale.

The announcement highlights the growing convergence of industrial AI, cloud infrastructure and sustainability initiatives as large enterprises seek to modernise operations while reducing environmental impact.

For AWS, the partnership strengthens its position in industrial digital transformation by extending cloud, edge and AI technologies into complex manufacturing environments.