Mercedes-Benz bets $560M on AI to cut car development by 17 months
What's the deal? Mercedes-Benz is investing around €500 million ($560 million) in PLM.AI, an AI-based product lifecycle management system it says could cut vehicle development time by up to 30%, or about 17 months. The platform links engineering, purchasing, production, sales, and after-sales on shared data.
How it works: AI agents already help with material costs, homologation, fault-finding, and software work, but mostly within single steps. Standardised data models will connect them across the development chain, so engineers see knock-on effects early. In weight reduction, for example, agents will weigh cost, crash behaviour, electronics, and production impacts together.
The details: Mercedes-Benz expects efficiency gains of up to 50% in some engineering tasks, and greater use of simulation could halve physical testing over time. Contact SoftwareDealroom has a profile for this one. Try Dealroom → supplies the open core layer, while Siemens extends its long partnership with AI-enabled design and validation tools.
What could go wrong? With outside suppliers sitting at the heart of development, Mercedes-Benz keeps control of the architecture, data models, and governance, and retains full ownership of its data and the AI models built on it. Those 30% and 50% figures are company targets, not demonstrated results.
What they said: Chief technology officer Jörg Burzer said PLM.AI is "the digital backbone for the future of product development at Mercedes-Benz," adding that it would make the company "faster, more connected and more capable of learning" without lowering its standards for quality and safety.
The signal: The investment matters less as a standalone AI product than as a bet on the shared data and workflows needed to compete on launch cadence. Chinese manufacturers are setting a faster pace: NissanDealroom has a profile for this one. Try Dealroom → has targeted a 30-month cycle, while GM wants to halve its four-to-five-year timeline using AI and virtual engineering. Speed is becoming the battleground.
Read more: automotiveworld.com
Image credit: Generated with Gemini
