GM commits $900 million to LMR battery tech and new Michigan facility
General Motors outlines a strategic push to lower production costs, with potential price drops for the Chevrolet Silverado EV and expanded use of artificial intelligence in engineering.

General Motors has announced a $900 million investment initiative designed to reduce the production costs of its next generation of electric vehicles. The capital deployment focuses on the development of Lithium Manganese Rich (LMR) battery chemistry and the construction of a new Battery Cell Development Center at the company’s Warren Technical Center in Michigan.
The new facility is positioned as a critical bridge between research and development efforts and full-scale manufacturing. Kurt Kelty, GM’s vice-president of battery and sustainability, stated that the LMR technology aims to maintain vehicle range while significantly lowering costs. The company projects that these efficiencies could result in the Chevrolet Silverado EV being up to $6,000 cheaper for consumers.
Beyond battery chemistry, GM is integrating artificial intelligence to accelerate its vehicle development cycle. The automaker is utilising a combination of in-house and external AI models across large swaths of the business. This strategic shift is being overseen by Chief Product Officer Sterling Anderson and Executive Director of Virtual Integration Engineering Jason Fischer.
The Warren Technical Center, located outside Detroit, serves as the hub for this initiative. The focus on LMR batteries represents a specific chemical approach to EV powertrains, distinct from other common chemistries such as NMC or LFP. The potential price reduction for the Silverado EV is presented as a key example of the cost-saving benefits derived from this new technology.
While the announcement details the financial commitment and technological direction, the exact timeline for the commercial availability of LMR batteries and the new development center has not been specified. Similarly, specific metrics regarding the impact of AI on the overall development cycle are expected to be detailed in future reports.


