Amidst the surging global tide of technological advancement, artificial intelligence (AI) remains firmly at the forefront of innovation, continuously unleashing formidable potential to shape the future. Recent months have witnessed significant strides in AI across multiple fronts: policy guidance, corporate R&D, diverse application scenarios, and cross-sector collaboration. These developments have injected fresh vitality into technological implementation and industrial upgrading. Key dynamics are detailed below.

Policy Leadership: Forging a New AI Ecosystem to Drive International Collaboration and Industrial Advancement

To integrate AI technology deeply into the broader socio-economic landscape, China has launched the ‘AI Plus’ international cooperation initiative. This endeavour aims to establish collaborative platforms in critical domains such as public services, technological innovation, and industrial transformation. The initiative not only provides an open, shared framework for global AI innovation but also enhances public service efficiency worldwide, catalysing AI innovation potential across nations and expanding the industry's horizons.

Concurrently, the 2025 Artificial Intelligence Industry and Empowering New Industrialisation Conference convened successfully in Beijing, focusing on practical AI applications and future trends to chart the course for industry advancement. The Ministry of Industry and Information Technology explicitly stated it will launch the ‘AI+ Manufacturing’ initiative to accelerate the deep integration of AI technology with the industrial internet, further propelling the intelligent and digital transformation of manufacturing. Data indicates that China's artificial intelligence industry scale surpassed 900 billion yuan in 2024, representing a 24% year-on-year increase. This robust growth trajectory underscores the vibrant vitality and substantial development potential of China's AI sector.

Corporate Breakthroughs: Overcoming Technical Bottlenecks to Lead New Directions in AI Innovation

Within the AI technology R&D sphere, leading enterprises are intensifying their efforts, continuously delivering breakthrough achievements that propel the industry's technical capabilities to new heights.

At the 2025 Connect Conference, Huawei unveiled its latest super node product. This innovation achieves substantial enhancements in core metrics such as computing power scale, memory capacity, and interconnect bandwidth, effectively overcoming limitations of traditional computing infrastructure. Huawei emphasised that computing power, as the core enabler of AI development, is crucial for innovation. The newly introduced hypernode interconnection technology will establish a new paradigm for AI infrastructure, providing robust solutions to meet the ever-growing demand for large-scale computing power.

Alibaba also delivered significant announcements at the 2025 Alibaba Cloud Computing Conference. Firstly, Alibaba announced a deep collaboration with NVIDIA in the field of Physical AI, covering multiple critical areas including data synthesis processing, model training, and environmental simulation. Both parties will integrate their technological strengths to jointly advance the research, development, and implementation of Physical AI technologies. Concurrently, Alibaba formally open-sourced its multimodal pre-trained large model series Qwen3-Omni. This model possesses comprehensive multimodal input and output capabilities, demonstrating outstanding performance in multiple audio-visual benchmark tests and achieving industry-leading standards. It provides developers with powerful technical tools to foster the construction of a multimodal AI application ecosystem.

At the WAVESUMMIT Deep Learning Developer Conference, Baidu unveiled significant achievements including the Wenxin X1.1 large model and PaddlePaddle framework V3.2. The Wenxin X1.1 model demonstrates substantial enhancements in core capabilities: factual knowledge accuracy improved by 34.8%, instruction following capability increased by 12.5%, and agent capabilities optimised by 9.6%. Across multiple authoritative benchmarks, this model outperformed DeepSeek-R1-0528 and achieved parity with international leaders like GPT-5 and Gemini 2.5 Pro, signifying China's ascension to the global forefront of large model technology.

Application Expansion: AI Penetrates Diverse Scenarios, Reshaping Daily Life and Consumer Experiences

As AI technology matures, its application scenarios continue to expand, gradually penetrating daily life from industrial domains to deliver novel user experiences.

At its Global Technology Explorers Conference, JD.com unveiled ‘He She Ta’—an innovative AI-powered social product. Focusing on AI's creative applications in social interactions, this offering employs unique technical architecture and functional design to potentially transcend traditional social paradigms. It aims to craft personalised, intelligent social scenarios for users while further unlocking AI's potential in social domains.

On 12 September 2025, Meituan formally announced the public beta launch of its inaugural AI Agent product, the ‘Xiao Mei’ app. Powered by Meituan's proprietary Long Cat-Flash-Chat model, Xiao Mei enables users to complete local lifestyle services—such as ordering takeaway or receiving restaurant recommendations—through natural language interaction. By deeply integrating AI technology with local services, this product significantly streamlines user workflows, bringing greater convenience to daily life.

Meanwhile, Taobao continues advancing AI innovation in e-commerce, with recent reports indicating it is trialling an AI shopping assistant feature named ‘Help Me Choose’. Leveraging AI's data analysis and intelligent recommendation capabilities, this feature precisely discerns user consumption needs to recommend products and content better aligned with preferences. Following ‘AI Universal Search,’ this marks another AI-enhanced shopping experience feature launched on Taobao's main platform, fully demonstrating Alibaba's deepening AI e-commerce strategy and driving the industry's transition towards smarter, more precise service models.

Collaborative Advancement: Crafting the ‘Beijing Solution’ for Intelligent Computing Applications to Drive AI Implementation Across Industries

To accelerate the deep integration of AI technology across industries and establish a collaborative, efficient intelligent computing ecosystem, the AICC 2025 Artificial Intelligence Computing Conference convened in Beijing on 26 September 2025. At the event, over 30 organisations including China Mobile, Inspur Information, and Beijing Academy of Artificial Intelligence jointly released the ‘Beijing Solution for Intelligent Computing Applications: Building Industry-Specific Intelligent Entities Through Super-Node Innovation Consortiums’.

Centred on establishing a super-node innovation consortium, this initiative brings together AI chip developers, system equipment manufacturers, large model research institutions and other stakeholders to develop customised ‘industry-specific intelligent entities’ tailored to diverse sectoral requirements. The blueprint explicitly sets forth the development objectives of ‘domestic chips, domestic connectivity, domestic application’. This entails leveraging indigenous chip technology, establishing an autonomous and controllable interconnection system, and promoting practical application across domestic industries. The initiative aims to dismantle sector-specific technological barriers, achieve precise alignment between AI capabilities and industrial requirements, and deliver replicable, scalable solutions for the intelligent transformation of diverse sectors.

Presently, the artificial intelligence sector is undergoing a pivotal phase of rapid advancement, where the deep integration of technological innovation and industrial application continually generates fresh opportunities. From policy guidance to corporate R&D, and from scenario expansion to collaborative partnerships, AI is reshaping the socio-economic landscape in comprehensive and multidimensional ways. Looking ahead, as technological breakthroughs persist and applications deepen, artificial intelligence will inevitably create value across broader domains, exerting increasingly profound impacts on human life and societal progress.