Tesla Faces Waymo. Musk Delivers on Promise, Tesla Cybercab Enters Mass Production Tesla has begun production of its Cybercab Robotaxi, a fully autonomous vehicle designed for a Vehicle-as-a-Service model. This marks a strategic shift for Tesla towards becoming an AI and mobility platform, aiming to capture ride-hailing markets. The Cybercab's mass production signals progress towards commercial execution, potentially re-evaluating Tesla's valuation to a technology platform. Challenges include regulatory hurdles for autonomous driving, ongoing FSD system verification, and increased capital expenditures impacting cash flow amidst slowing EV sales. The Cybercab launch intensifies competition, with Tesla leveraging data, integration, and cost advantages. Investors should monitor regulatory and execution risks. TradingKey - On Friday, March 24, Eastern Time, Tesla CEO Elon Musk stated in a post on X that Tesla (TSLA) has begun production of its Robotaxi model, the highly anticipated fully autonomous taxi known as "Cybercab." The Cybercab is a fully autonomous taxi with no steering wheel or pedals, positioned for commercial operation within a Robotaxi network. This model serves as a key vehicle for Tesla's transformation from an "electric vehicle manufacturer" into an "AI and mobility platform," representing a significant step in Musk's push for a "physical AI" strategy. From a business model perspective, the Cybercab does not rely on hardware sales for profitability. Instead, it accesses an autonomous driving network through a "Vehicle-as-a-Service" (VaaS) model to maximize asset utilization, with a long-term goal of capturing portions of the ride-hailing and taxi markets. For the investment market, Musk has delivered on his 2025 commitment to the Robotaxi mass production plan, signaling that Tesla is accelerating its transformation into a technology platform company. Furthermore, it marks the progression of Tesla's Robotaxi from a conceptual stage toward commercial execution. If the Cybercab achieves smooth mass production and large-scale deployment, it is expected to