Stellantis and Microsoft announced a strategic partnership lasting five years to collaborate on artificial intelligence (AI), cybersecurity, and engineering capabilities. This move comes as the automaker aims to stay competitive with technology-driven rivals. The importance of software and data-driven services has grown significantly in the long-term strategies of automotive companies, particularly as Chinese automakers enhance features to attract customers both locally and internationally.
Traditional automakers, facing challenges in software and technology development, are increasingly seeking partnerships with tech companies to capitalize on their expertise and accelerate progress. Stellantis’ Chief Engineering and Technology Officer, Ned Curic, emphasized the acceleration of AI initiatives across the enterprise through the collaboration with Microsoft. However, specific financial terms of the partnership were not disclosed.
Stellantis has previously relied on tech partnerships to advance its software goals and enhance personalized driving experiences. While some efforts have been abandoned, the focus now shifts to enhancing core vehicle sales and quality. The partnership with Microsoft builds upon their existing relationship, where they have collaborated on connected vehicle platforms and in-car digital services.
The agreement involves co-developing over 100 AI initiatives, spanning various areas such as product development, predictive maintenance, testing, and the rapid deployment of digital features and services. Additionally, the partnership aims to bolster Stellantis’ global cyber defense center using AI-driven analytics to safeguard against cyber threats and protect vehicles, customer data, and operations worldwide.
The cyber defense center will encompass IT systems, connected vehicles, manufacturing sites, and digital products, integrating security measures into mobile apps and in-vehicle services. As part of the collaboration, Stellantis plans to modernize its IT infrastructure on Microsoft’s Azure cloud platform, with a target of reducing its data center footprint by 60% by 2029.
