2025年度AI十大趋势发布：AI重塑流量入口 开源AI已经进入中国时间

The "2025 Top 10 AI Trends Report" reveals key AI transformation points for the future, offering practical operational insights.

1. Key highlights include AI's evolution from a tool to a partner, reshaping traffic gateways like the Agentic Internet and enabling proactive service delivery models. The rising global influence of Chinese open-source AI, such as the DeepSeek model, signals a transition from participant to leader.

2. Practical guidance involves using Tencent's ima knowledge base to build personalized knowledge repositories, enabling deep customization with large models. Edge computing addresses data privacy and latency issues, enhancing efficiency for end devices like smartphones and vehicles.

Computing power is becoming the engine of the intelligent industry, driving a surge in data center demand. Multimodal AI applications are freeing up high-value labor, with video, 3D, and code generation becoming core productivity drivers.

The report focuses on AI's profound impact on brand building and product R&D, helping brands adapt to shifting consumer trends.

1. Marketing insights: AI is reshaping traffic gateways, with the Agentic Internet shifting to proactive service delivery. Tencent's ima knowledge base enables deeply personalized services, boosting user engagement and brand loyalty.

2. Product R&D direction: AI hardware proliferation, including smartphones and vehicles with local AI capabilities, is optimizing product design. Multimodal AI applications in creative content generation are driving product innovation.

3. Consumer trend observation: User behavior is shifting toward reliance on AI assistants. Embodied intelligence, such as Ziliang Robotics' systems, is moving from small-scale orders to widespread adoption, signaling the need for brands to embrace intelligent experiences.

Market opportunities arise from China's development in open-source ecosystems and AGI roadmaps, with cases like the DeepSeek model demonstrating global competitiveness.

The report provides insights into AI policy support and market opportunities, helping sellers navigate changes and identify growth areas.

1. Policy interpretation: National projects like "East Data West Computing" are building green computing networks. China's AGI strategy prioritizes technological autonomy and controllable ecosystems, creating collaboration and support opportunities.

2. Growth markets and opportunities: The proliferation of AI hardware terminals, such as vehicles and smart glasses, opens new sales channels. Large model inference deployment is accelerating, with edge computing addressing cost and efficiency issues, creating new e-commerce opportunities.

3. Response measures: The rise of Chinese open-source AI, evidenced by DeepSeek's high download rankings, suggests leveraging open-source ecosystems for collaboration. The Agentic Internet business model is replacing traditional apps, requiring new strategic approaches.

Risks include rapid technological iteration, necessitating adaptation to multimodal AI applications. Positive impacts include productivity gains, shifting AI from a competitive advantage to a business necessity.

The report outlines AI-driven innovations in product manufacturing and design, revealing digitalization and e-commerce opportunities.

1. Production demands: AI chip integration, including widespread NPU deployment and growing ASIC/FPGA adoption, is driving hardware manufacturing upgrades. Mature edge computing optimizes local AI processing while addressing production data privacy concerns.

2. Design insights: Embodied intelligence R&D, such as Ziliang Robotics' "Great Wall" model enabling end-to-end control, suggests integrating robotics for precision improvement. Multimodal AI applications in 3D and code generation support creative design.

3. Business opportunities: The development of China's open-source ecosystem, exemplified by the DeepSeek model, indicates e-commerce advancement potential. The infrastructuralization of computing power is driving surging data center demand, creating supply chain collaboration opportunities.

Digitalization insights highlight how edge AI proliferation in terminal devices enhances efficiency and reduces costs.

The report analyzes AI industry trends and new technological solutions to address client pain points.

1. Industry development trends: AI is evolving from a research tool to an active research participant, enabling new Agentic Science paradigms. Large model deployment is entering the inference phase, with multimodal AI becoming an application cornerstone.

2. New technology introductions: Pre-training architecture innovations, such as mixture-of-experts models overcoming Transformer limitations and linear attention supporting long-text processing, are emerging. Edge computing maturity is expanding AI capability coverage to terminals.

3. Client pain point solutions: Data privacy and network latency issues are being addressed through real-time responses from edge AI in hardware devices. Tencent's ima knowledge base provides personalized knowledge retrieval solutions, optimizing service interactions.

Cases like Tencent's DeepGEM pathology model reducing detection costs demonstrate AI's potential in healthcare.

The report outlines new AI-driven platform operational requirements and practices, guiding merchant recruitment and risk mitigation.

1. Platform needs and challenges: AI is reshaping traffic gateways, requiring platforms to evolve into super-agents for personalized services. The growing influence of open-source AI ecosystems, like China's DeepSeek model, creates merchant recruitment demands.

2. Latest platform practices: Building intelligent assistants, such as Tencent's ima knowledge base integrated with large models, enables deep service capabilities. China's AGI roadmap emphasizes open-source collaboration, offering partnership models like full-stack domestic capability verification.

3. Operational management and risk mitigation: Multimodal AI applications require platforms to support cross-modal understanding. Edge computing addresses cost issues while mitigating latency risks. Policies like "East Data West Computing" indicate the need to adapt operations to green computing.

Cases include Ziliang Robotics' embodied intelligence order expansion, demonstrating platform integration opportunities.

The report reveals new AI industry movements and policy implications, supporting business model research.

1. Industry trends and challenges: AI4S breakthroughs are accelerating AGI realization, with autonomous scientific discovery reaching doctoral-level capabilities in materials and healthcare. Architecture innovations are moving toward consensus in the post-Transformer era.

2. Policy and regulatory recommendations: China's national strategy positions AGI as core, providing insights through open-source ecosystems and computing networks. Industry-academia-research collaboration models, like DeepSeek's optimization for domestic chips, demonstrate a distinctive Chinese approach.

3. Business model implications: Open-source AI's "China time" has arrived, with DeepSeek and Qwen models ranking among global download leaders, fostering innovation collaboration. Embodied intelligence research, such as Ziliang Robotics' developments, is expanding application exploration.

Cases like Tencent's DeepGEM predicting gene mutations offer references for scientific breakthroughs.