Ant Group-backed Hello launches robotaxi to challenge Baidu, WeRide, Pony.ai in China

Greater China
Source: South China Morning PostPublished: 09/11/2025, 08:28:15 EDT
Hello
Ant Group
Alibaba
Robotaxi
Autonomous Driving
China Tech Competition
Ant Group-backed Hello launches robotaxi to challenge Baidu, WeRide, Pony.ai in China

News Summary

Hello, a Chinese bike-sharing and ride-hailing firm backed by fintech giant Ant Group, has launched its first driverless taxi, the “Hello Robot1,” intensifying competition with local rivals like Baidu, WeRide, and Pony.ai. The vehicle is based on the Venucia VX6 SUV, a product of a Dongfeng Motor-Nissan joint venture, and is equipped with 14 high-resolution cameras, eight lidars, and 18 other sensors for 360-degree environmental detection. Hello has partnered with Alibaba Cloud to establish a computing cluster powered by over 10,000 GPUs and collaborated with Alibaba Group Holding to develop the Daoyu model series, based on Alibaba’s Qwen AI models. Hello's robotaxi unit has secured initial funding exceeding 3 billion yuan (US$421 million) from Hello, Ant Group, and Contemporary Amperex Technology (CATL), the world’s largest EV battery manufacturer. As a latecomer, Hello faces fierce competition in China's rapidly developing autonomous driving sector. Established players such as WeRide, Pony.ai, and Baidu's Apollo unit have already expanded their services beyond China to international markets including the US and the UAE.

Background

China is one of the most active global markets for autonomous driving technology development and commercialization. Baidu (Apollo), WeRide, and Pony.ai are among the pioneers and major players in this sector, having deployed robotaxi services in multiple Chinese cities and actively expanding into international markets. Hello previously focused primarily on bike-sharing and ride-hailing services, boasting a substantial user base and travel data. Ant Group, as an investor and affiliate of Hello, will provide crucial support for Hello's autonomous driving business with its capabilities in fintech, data, and AI. CATL's investment underscores the deep integration trend between electrification and intelligent technologies.

In-Depth AI Insights

What are the strategic implications of Ant Group/Alibaba's deep involvement in Hello's robotaxi venture, especially given their existing tech ecosystem? This is far more than a simple financial investment; it represents a deep strategic play by the Alibaba-Ant ecosystem in the future mobility sector. Its significance lies in: - Data Loop and AI Ecosystem Reinforcement: Hello's shared mobility data (bike-sharing, ride-hailing) combined with autonomous driving data can provide massive training datasets and application scenarios for Alibaba's large models (Qwen) and AI cloud services (Alibaba Cloud). This creates a data-AI-application-data feedback loop, further solidifying its advantages in AI infrastructure and application layers. - Mobility Service Synergy: Robotaxis will complement Hello's existing two-wheeler and four-wheeler mobility services, building a more complete MaaS (Mobility-as-a-Service) ecosystem. This allows the Alibaba ecosystem to cover diverse mobility needs, from short to long distances, and from human-driven to autonomous, enhancing user stickiness. - Countering Tencent/Didi Alliance: In China's mobility market, Didi Chuxing is closely linked with Tencent. Alibaba-Ant's entry into autonomous driving through Hello could reshape the competitive landscape in future intelligent mobility, vying for user entry points and data dominance against Didi. As a latecomer, how will Hello differentiate itself and overcome the significant first-mover advantage and technological lead of rivals like Baidu, WeRide, and Pony.ai in China's intensely competitive robotaxi market? Hello faces considerable challenges, but its breakthrough points may include: - Scenario and Data Advantages: Hello possesses a vast amount of shared mobility scenarios and user travel behavior data. This could enable faster optimization of autonomous driving algorithms in specific cities or mobility patterns, for example, by integrating with existing bike/e-bike networks to offer seamless "last-mile + main road" autonomous services. - Cost Control and Scaling Strategy: Leveraging Ant and Alibaba's experience in supply chain management and big data operations, Hello might be able to develop more cost-effective robotaxi operational models, accelerating vehicle deployment and commercialization, especially in tier-two or tier-three cities or specific regions. - Ecosystem Integration: Deep integration with the Alibaba ecosystem is its core competitive strength. By incorporating Alibaba Cloud's computing power, DAMO Academy's AI technology, and AutoNavi's navigation capabilities, Hello can build an end-to-end autonomous driving solution with rapid iteration capabilities, rather than being just a single technology provider. What are the broader investment risks and opportunities for investors in China's autonomous driving sector, considering the regulatory landscape, technological hurdles, and current market saturation? While China's autonomous driving market is intensely competitive, it presents long-term investment opportunities alongside significant risks: - Opportunities: - Policy Support: The Chinese government continuously promotes the development of intelligent connected vehicles, providing policy support and infrastructure for autonomous driving testing and commercialization. - Vast Market Potential: Enormous demand for mobility and the pursuit of efficiency and safety offer broad commercialization prospects for autonomous driving services. - Accelerated Technological Iteration: Advances in AI and sensor technologies will continue to enhance autonomous driving capabilities and reduce costs. - Risks: - Commercialization Challenges: Unclear profitability models, high operating costs for large-scale commercialization, safety accident risks, and user acceptance issues remain. - Regulatory Uncertainty: Autonomous driving regulations are still evolving, and policy changes could impact operating models and development paths. - Technological Bottlenecks: Technology still requires breakthroughs in scenarios like extreme weather, complex road conditions, and long-tail events; fully unsupervised driving remains distant. - Intensified Competition: Numerous market players and fierce homogeneous competition lead to a significant winner-take-all effect, putting latecomers at risk of elimination.