According to Sawyer Merritt, Tesla has filed new trademark applications for its next-generation Roadster, including a stylized 'Roadster' wordmark and what appears to be the vehicle's updated design. As reported by Sawyer Merritt on Twitter, these filings with the USPTO suggest the official unveiling is imminent. Industry analysts note that Tesla's next-gen Roadster is expected to feature advanced AI-driven driver-assist and autonomous systems, leveraging Tesla's proprietary machine learning technologies. This move could strengthen Tesla’s position in the AI-powered electric vehicle market, offering new business opportunities for AI integration in automotive design and performance optimization.

According to Sawyer Merritt on Twitter, Tesla is actively preparing for the production of its next-generation Roadster, alongside the ramp-up for Tesla Semi and Cybercab in North America, which are both scheduled to commence in the first half of 2026. This development highlights Tesla's continued investment in advanced manufacturing, where AI-driven automation, robotics, and supply chain optimization are likely to play critical roles. As reported by Sawyer Merritt, these new vehicle lines present significant opportunities for the integration of machine learning algorithms to enhance production efficiency, quality control, and autonomous vehicle capabilities, positioning Tesla as a leader in AI-powered automotive manufacturing.

According to Sawyer Merritt, Tesla has posted a new job opening for a Manufacturing Vision Engineer specializing in Battery Vision for the Roadster, as listed on tesla.com/careers (source: Sawyer Merritt, Dec 9, 2025). This role highlights Tesla's continued investment in AI-driven computer vision technologies to enhance manufacturing automation and quality control for its next-generation vehicles. The job posting emphasizes the integration of advanced machine learning and vision systems in battery production, underscoring significant business opportunities for AI professionals in the automotive sector. Companies leveraging AI for smart manufacturing and process optimization can expect increased demand and competitive advantage as automation becomes central to EV production.