2026年春季投资峰会速递：PhysicalAI和AgenticAI起革命

Investment Rating - The report maintains a "Buy" rating for the technology sector, emphasizing the potential of Physical AI and Agentic AI in driving future growth [5]. Core Insights - The AI industry is transitioning from isolated technological breakthroughs to systematic capability building, with both Physical AI and Agentic AI evolving in parallel [1][6]. - The focus is shifting from single-point product breakthroughs to systematic collaborative capabilities, emphasizing data, engineering, platform, and ecosystem integration [3]. - Companies are extending their capabilities from single scenarios to cross-scenario applications, enhancing business expansion and capability reuse [4]. Summary by Sections Trend 1: Core Focus on Scalable Traffic and Ecological Entry - As AI moves from technology validation to industrial deployment, traffic scale and entry control are becoming core competitive resources [2]. - Companies like Jiushi have covered over 300 cities and delivered more than 1.5 billion orders, creating a complete data loop through extensive real business scenarios [2]. - QCraft has achieved mass production of high-level NOA, covering 23 vehicle models, and aims to penetrate over 50 models by 2026, forming a positive cycle of "scale-data-capability enhancement" [2]. Trend 2: Capability Building Towards Systematic Collaborative Ability - The competitive focus is shifting towards systematic capability construction, concentrating on data, engineering, platform, and ecosystem [3]. - Jiushi is building a complete loop covering data production, model training, and simulation evaluation, transitioning from the initial stage to large-scale expansion [3]. - QCraft proposes the concept of an AI-driven "autonomous driving super factory," integrating key processes and achieving technical reuse between L2++ and L4 [3]. Trend 3: Continuous Extension of Capability Boundaries - Companies are no longer limited to single products or scenarios but are extending their capabilities to broader applications [4]. - Jiushi has expanded from unmanned freight to sanitation and inspection scenarios, accelerating overseas expansion [4]. - QCraft is leveraging its L2++ and L4 technology base to explore high-level intelligent driving and Robobus applications [4]. Jiushi Intelligent - Jiushi is a leading L4 autonomous driving technology company focused on urban logistics, having launched the world's first L4 urban distribution vehicle in 2023 [13]. - The company has established a comprehensive product matrix covering various scenarios and has achieved significant operational milestones, including over 20,000 operational vehicles and a market share of 88% in the mid-to-large vehicle segment [15][19]. - Jiushi's business model includes an "AI driver subscription" service, allowing customers to pay monthly for autonomous driving capacity, thus creating a sustainable revenue stream [14]. QCraft - QCraft focuses on autonomous driving technology development and commercialization, proposing a dual-engine strategy to advance both L4 and L2++ solutions [25]. - The company has achieved over 1 million units of its high-level intelligent driving solutions and is expanding its product offerings to include Robobus for urban public transport [31][27]. - QCraft emphasizes safety as a core logic for commercialization, with significant mileage and accident avoidance metrics supporting its product viability [28]. Wanka Yilian - Wanka Yilian specializes in mobile internet and has established deep partnerships with major smartphone manufacturers, covering over 90% of smartphone users [43]. - The company is focusing on AI and overseas expansion, leveraging its unique position to optimize content for better integration with AI models [49]. - Wanka Yilian's GEO strategy aims to transform advertising logic by shifting from traditional SEO to a model that integrates content generation and intelligent recommendations [55].