京东曹鹏两会建言：激活AI产业效能，夯实新质生产力发展基石

The article highlights Cao Peng's policy proposals during the Two Sessions regarding AI industry development and JD.com's practical achievements, emphasizing the strategic shift from scale expansion to efficiency improvement in AI.

1. The AI industry currently faces three major challenges: insufficient domestic chip ecosystems leading to computational "islands," misaligned technical demands causing "parameter hype," and collaboration barriers hindering value realization.

2. JD.com has deeply advanced its independent computing capabilities, developing a full-stack domestic AI computing system with closed-loop application abilities to solve problems in retail, automotive, and other sectors; its JoyAI model has been integrated into over 2,000 business scenarios.

3. Efficiency enhancement strategies include open-sourcing the JoyAgent intelligent agent and JoyCode tool, with the latter achieving over 50% adoption rate, reducing development cycles by 40%, and deploying over 50,000 agents to improve business insights.

4. AI-industry integration practices include free digital human livestreaming services helping merchants achieve GMV exceeding 235 billion yuan, and the JoyInside brand launching hit products like AI toys, jointly building social networks with brands.

The article emphasizes application opportunities for AI technology in brand marketing, product development, and consumer trend insights.

1. In brand marketing, JD.com offers free digital human livestreaming services, helping merchants establish 24/7直播 rooms to enhance traffic conversion efficiency; by 2025, it served over 50,000 merchants with GMV reaching 235 billion yuan, demonstrating new channel potential.

2. Product development insights come from the JoyInside brand, which embeds AI "brains" in hardware, collaborating with over 40 brands to launch AI toys and robots, reflecting shifting consumer trends in smart hardware.

3. Consumer trend observations show AI integration sparks new scenarios like social gameplay and dialect functions, suggesting brands can leverage AI for innovative pricing and competition strategies, with future manufacturing integration bringing more R&D opportunities.

The article interprets policy recommendations and reveals market growth opportunities and countermeasures brought by AI.

1. Regarding policy interpretation, Cao Peng's proposals for AI efficiency improvement and computing power accessibility provide strategic insights for sellers.

2. Growth opportunities are reflected in JD.com's free digital human service, which helps sellers quickly set up livestream rooms, boosting GMV past 235 billion yuan, indicating traffic conversion potential from changing consumer demands.

3. Countermeasures include open-sourcing JoyAgent tools, reducing development cycles by 40%; sellers can learn from its agent deployment experience. Risk warnings like collaboration barriers are addressed through JD's cooperative ecosystem, suggesting partnership models for product launches.

4. The latest business model demonstration is the super supply chain nexus, whose digital service operations sellers can reference to capture AI integration opportunities.

The article reveals AI's commercial opportunities for factory product design and digital advancement.

1. In product design, JD's JoyInside brand embeds AI "brains" in hardware, collaborating with brands to launch hit products like AI toys, enabling factories to develop innovative designs using AI.

2. Future opportunities include AI-manufacturing integration, such as JD's push for deeper AI applications in manufacturing, where factories can explore smart hardware production partnerships.

3. Digital and e-commerce insights come from JD's open-source JoyCode tool, which shortens development cycles by 40%; factories can adopt similar approaches to enhance production efficiency and digital processes, with accessible computing power offering cost optimization.

The article analyzes AI industry trends, client pain points, and solutions.

1. Industry trends indicate a shift from scale expansion to efficiency priority, with JD promoting computing power accessibility and ecosystem collaboration, future integration with manufacturing and government services.

2. Technological highlights include the JoyAgent platform and JoyCode development tool, the latter achieving over 50% code adoption rate to boost development efficiency; digital human services expand business scenarios as new tools.

3. Client pain points like computational "islands" and "parameter hype" are addressed through JD's full-stack closed-loop solutions; remedies include open-source toolchains lowering innovation barriers and digital human services重构流量转化 to overcome collaboration barriers.

The article showcases platforms' latest approaches to business demands and risk mitigation strategies.

1. Regarding business demands, JD.com as a platform offers digital human livestreaming services to meet merchants' 24/7直播 needs, boosting traffic and GMV; open-source JoyCode tools support development and lower innovation thresholds.

2. Latest platform practices include free digital human services to attract merchants, serving over 50,000 businesses; ecosystem co-building involves joint brand social networks, covering operations management and collaboration.

3. Risk mitigation strategies include JD's super supply chain nexus addressing collaboration barriers, with platforms referencing its efficiency-first model to avoid computational islands and parameter hype; open-source tools strengthen ecosystem management.

The article explores new industry movements, emerging issues, and policy recommendation insights.

1. New industry movements include AI transitioning from application leadership to system leadership, with JD practicing efficiency improvement paths and future integration in manufacturing, elderly care, and government services to develop new quality productive forces.

2. Emerging issues like computational "islands" from weak domestic chip ecosystems and "parameter hype" from misaligned technical demands require collaborative solutions; policy insights from Cao Peng emphasize efficiency gains, computing power accessibility, and open ecosystems.

3. Business model cases include JD's super supply chain nexus, combined with open-source toolchains and digital human services, building a closed loop of technology, scenarios, and livelihood value, offering researchers analysis of sustainable momentum construction.