According to Sawyer Merritt, Tesla has announced a significant increase in investments for its 4680 battery cell production at Giga Berlin, aiming to reach 8 gigawatt hours per year starting in 2027 (Source: Sawyer Merritt on X). Tesla's plan to vertically integrate battery cell and vehicle manufacturing at a single site is unique in Europe and is set to strengthen supply chain resilience. For AI-driven businesses, this presents major opportunities in smart factory automation, predictive maintenance, and supply chain optimization, as large-scale battery manufacturing increasingly relies on artificial intelligence to maximize efficiency and output.

According to Sawyer Merritt, Ford's U.S. sales of the Mach-E dropped approximately 50% year-over-year in November 2025, reaching only 3,014 units after the expiration of the federal EV credit. F-150 Lightning sales also saw a significant 72% YoY decline to 1,006 units, partly due to a supply chain disruption caused by a fire at an aluminum supplier factory, which halted production (source: Sawyer Merritt on Twitter). AI-driven analytics can help automakers like Ford better forecast demand shifts due to policy changes and supply chain events, enabling more agile pricing, inventory, and marketing strategies. This trend highlights a critical opportunity for AI solutions in EV sales optimization, predictive modeling, and resilient supply chain planning within the automotive industry.

According to Sawyer Merritt, deliveries of the Model Y Standard have officially started in the US, highlighting Tesla’s use of advanced AI-driven manufacturing and logistics systems to streamline production and enhance the customer experience (source: x.com/teslabros/status/1980651737276117123). Tesla’s integration of artificial intelligence in supply chain management and vehicle software updates positions the company as a leader in smart manufacturing, creating new business opportunities for AI solution providers and automotive tech startups. This development signals growing demand for AI-powered automation in the automotive industry and offers a blueprint for scalable, efficient vehicle delivery using machine learning technologies.