According to Sawyer Merritt, Tesla's upcoming Cybercab leverages advanced AI systems to maximize energy efficiency and sustainability in electric vehicles. Compared to conventional internal combustion engine (ICE) cars, which rely on fossil fuels and require ongoing resource extraction, electric vehicles (EVs) like Tesla's Model 3 and Model Y incur most of their environmental costs upfront during battery production, with significant potential for material recycling. Over time, EVs demonstrate considerably lower lifetime emissions—even when charged with coal-based electricity—thanks to the increasing share of renewable energy in the power grid. Data cited by Sawyer Merritt shows that, using the global weighted average grid mix, Tesla EVs surpass ICE vehicles in emissions efficiency after just 6,500 miles driven. The integration of AI in Tesla's Cybercab is expected to further optimize energy consumption and route planning for autonomous fleets, presenting substantial business opportunities in green mobility and sustainable AI-driven transportation solutions (Source: Sawyer Merritt via Twitter).