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GM's Manufacturing Chief Sets Out the Case for $16 Billion U.S. Investment in Plants, R&D and Workforce

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GM's Manufacturing Chief Sets Out the Case for $16 Billion U.S. Investment in Plants, R&D and Workforce

SHERIDAN, WYOMING -- June 25, 2026 -- General Motors senior vice president of global manufacturing Mike Trevorrow has outlined the scale of GM's current U.S. manufacturing commitment, citing $9 billion in American plant and facilities investment in 2026 alongside $7 billion in domestic research and development. Writing as the United States approaches its 250th anniversary, Trevorrow frames the spending not as a one-time commitment but as the infrastructure necessary to scale advanced technology through skilled workers, supply chains and local economic ecosystems. GM employs one in every 10 American autoworkers and contributed nearly $50 billion to U.S. GDP in 2025.

Cadillac Racing Wins 2026 DHL Sustainable Endurance Award for Measurable Le Mans Operations Program

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Cadillac Racing Wins 2026 DHL Sustainable Endurance Award for Measurable Le Mans Operations Program

SHERIDAN, WYOMING -- June 25, 2026 -- Cadillac Racing has been named winner of the 2026 DHL Sustainable Endurance Award in the Hypercar category, a recognition presented by the FIA, ACO and DHL in connection with the 24 Hours of Le Mans. The award acknowledges a structured sustainability program spanning race logistics, hospitality, waste reduction, procurement and community engagement. Judges cited Cadillac Racing's submission as one of the most complete and measurable dossiers received in this year's competition, with every element tied directly to Le Mans race operations.

General Motors Builds Three-Tier AI Pipeline to Mine Rare Safety Events from Fleet Video at Scale

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General Motors Builds Three-Tier AI Pipeline to Mine Rare Safety Events from Fleet Video at Scale

SHERIDAN, WYOMING -- June 25, 2026 -- General Motors has published details of EMWU, an offboard data pipeline designed to extract rare, safety-critical driving scenarios from millions of miles of autonomous vehicle fleet footage without proportional increases in compute cost. GM's autonomous vehicle fleet generates continuous sensor and camera streams across hundreds of test vehicles, and the volume of that data has made brute-force AI analysis economically and technically unworkable. EMWU separates the problem into three distinct tiers — domain projection, candidate retrieval, and deep visual reasoning — each calibrated to spend compute only where it is warranted.