Autos

General Motors Takes $7.1 Billion Charge as Chinese Competition and Market Realities Force Strategic Pivot BLUF (Bottom Line Up Front): General Motors posted a $7.1 billion charge in Q4 2025—$6 billion tied to EV operations and $1.1 billion to China restructuring—marking a dramatic strategic retreat from its all-electric future as Chinese automaker BYD captures global market dominance and U.S. demand falters. Despite achieving variable EV profitability in Q4 2024, GM is pivoting back toward ICE vehicles and hybrids, joining Ford in a wholesale recalibration that raises existential questions about whether legacy Detroit automakers can compete in an EV landscape increasingly dominated by subsidized Chinese manufacturers and a resurgent Tesla. Even with 100% U.S. tariffs protecting the domestic market, the competitive gap appears to be widening, with BYD now producing vehicles for under $15,000 while operating at scale GM cannot match. The Charge That Shook Detroit General Motors rep...

New Auto Loan Tax Break Benefits US-Built Vehicles, But Middle-Class Savings Remain Modest July 2025 — A new tax deduction buried in the "One Big Beautiful Bill Act" signed into law on July 4th promises to help American car buyers save on auto loan interest, but the benefits are targeted specifically at purchasers of US-assembled vehicles and may deliver more modest savings than the $10,000 maximum suggests. Which Vehicles Qualify The legislation allows buyers to deduct up to $10,000 in auto loan interest for vehicles purchased between 2025 and 2028, but only for new vehicles under 14,000 pounds that are assembled in the United States. This requirement positions several major manufacturers to benefit: Compact Sedans Assembled in the US Honda Models (Greensburg, Indiana): Honda Civic Hatchback - Currently produced at Honda's Indiana Auto Plant alongside the CR-V Honda Accord - Production moved from Marysville, Ohio to Greensburg, Indiana in 2025 as part o...

  A Comprehensive Review of Sensor Fusion and Machine Learning Approaches Abstract —The integration of artificial intelligence (AI) and machine learning (ML) technologies in automotive driver monitoring systems has emerged as a critical solution for detecting impaired driving behaviors. This paper presents a comprehensive analysis of AI-based impaired driver detection systems, evaluating the performance characteristics of various sensor modalities, feature extraction methods, and classification algorithms. Through systematic review of recent developments in computer vision, physiological monitoring, and alcohol detection technologies, we examine the accuracy, reliability, and practical implementation challenges of these systems. Our analysis reveals that multi-modal sensor fusion approaches achieve superior performance compared to single-sensor systems, with combined vision-based and physiological monitoring achieving detection accuracies ranging from 85% to 96% across different ...