Core Viewpoint - Bank of America raised the target price for Xpeng Motors to $27, driven by the validation of its "Physical AI" strategy and technology monetization capabilities [2][4]. Group 1: AI Strategy and Developments - Xpeng Motors introduced the "Physical AI" concept, which aims to enable AI to deeply understand, interact with, and change the physical world, supported by the new VLA 2.0 model [7][10]. - The VLA 2.0 model is powered by Xpeng's self-developed Turing AI chip, boasting a computing power of 2,250 TOPS and a 12-fold increase in inference efficiency [8][10]. - Volkswagen has become the first external customer for Xpeng's VLA 2.0 model and has ordered the Turing AI chip, marking a significant step in the commercialization of Xpeng's AI technology [5][10]. Group 2: Future Product Plans - Xpeng plans to launch three Robotaxi models in 2026, equipped with four Turing chips (total computing power of 3,000 TOPS) and the VLA 2.0 model, with Gaode Map as its first global ecosystem partner [12]. - The new generation humanoid robot, IRON, is expected to achieve mass production by the end of 2026, featuring solid-state batteries and applications in commercial scenarios like patrolling [12]. - The flying car brand ARIDGE plans to start mass production and delivery of its "land carrier" flying cars in 2026, with an annual production capacity of 10,000 units [13]. Group 3: Financial Adjustments and Projections - Bank of America adjusted its financial forecasts, increasing the expected non-GAAP net loss for 2025 by 36.7% while lowering profit expectations for 2026 and 2027 by 4.5% and 5.5%, respectively [5][16]. - Despite the target price increase, the bank remains cautious about Xpeng's profitability, projecting that the company may face pressure on gross margins due to product mix changes, leading to an expanded loss in 2025 [15][16]. - The new target price of $27 is based on an average of EV/Sales and DCF valuation methods, reflecting a higher sales growth expectation compared to peers [15].
小鹏AI日后,美银上调其目标价:看好“物理AI”战略和技术变现的能力