en.Wedoany.com Reported - On June 16, at the 2026 AI-Native Conference opening in Beijing, Ao Li, Vice President of the China Academy of Information and Communications Technology (CAICT), delivered an opening address on the technological paradigm shift and industrial development path of AI-Native. Ao Li stated that artificial intelligence is currently at a critical turning point in technological development. New-generation AI technologies, represented by Large Language Models (LLMs) and Agents, are reshaping the global technology landscape. AI is rapidly evolving from a traditional auxiliary tool into a core productivity engine driving economic and social development.
Driven by the national "Artificial Intelligence+" strategy, China's AI industry is experiencing vigorous growth. Monitoring data from CAICT shows that the scale of China's core AI industry continues to expand, with enterprise digital transformation accelerating toward intelligent transformation. An increasing number of enterprises are beginning to build native business models centered on AI.
Regarding the current state of the industry, Ao Li pointed out that AI-Native, as a new-generation technological paradigm, is profoundly reshaping enterprise organizational structures, business processes, and value creation methods. This paradigm involves not only technological integration but also a comprehensive restructuring from underlying architecture to upper-layer applications, achieving an organic unity of data-driven operations, intelligent decision-making, and automated execution.
Ao Li analyzed the development trends of AI technology. In terms of large model technology, key indicators such as parameter scale, training data volume, and reasoning capabilities continue to improve, with rapid development in multimodal large models and industry-specific large models. Agent technology is maturing, with LLM-based agents capable of autonomously perceiving environments, planning decisions, and executing tasks, providing intelligent solutions for complex business scenarios. AI infrastructure is continuously improving, gradually forming a full-industry-chain ecosystem from chips and frameworks to platforms and applications. Meanwhile, industry-integrated applications are advancing deeply, with AI increasingly integrating into manufacturing, finance, healthcare, education, and other sectors, giving rise to new business forms and models.
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