B[Beijing: Promote global competition in basic artificial intelligence models] On September 9, the Beijing Municipal People’s Government issued the “Beijing Digital Economy Development Plan during the 15th Five-Year Plan Period.” It pointed out that the level of scientific research on basic theories of artificial intelligence should be improved. Enhance the long-range reasoning, code generation, and intent understanding capabilities of large language models, tackle multimodal model understanding, generation, and alignment technologies, and achieve world-leading breakthroughs in basic models. Explore new model architecture, swarm intelligence, brain-like intelligence and other directions to seize the commanding heights of the next generation of artificial intelligence technology. Improve engineering levels such as model compression, efficient inference, and lightweight deployment. Construct a classification and grading model evaluation system with international influence. B[CITIC Construction Investment: Demand for computing power on the reasoning side and infrastructure is expected to remain high] On September 9th, CITIC Construction Investment’s research report pointed out that on September 3rd, OpenAI released a new generation of flagship model GPT-6 Astra, which further strengthens complex reasoning, code generation, web browsing, computer operation and agent autonomous execution capabilities, and supports complex workflows such as documents, tables, PPT, etc., and the API context window has approximately 1.05 million Tokens. Broadcom FY2026 Q3 achieved revenue of US$29.59 billion, a year-on-year increase of 86%, of which AI semiconductor revenue was US$16.7 billion, a year-on-year increase of 221%, mainly driven by the demand for customized AI accelerators and high-speed networks; Q4 estimated AI semiconductor revenue of US$21.7 billion, a year-on-year increase of 236%. CITIC Construction Investment believes that with the continued upgrading of large model capabilities and the expansion of capital expenditures of overseas cloud manufacturers, the demand for computing power on the inference side and infrastructure is expected to remain high, and it continues to be optimistic about the core links of AI computing power such as chips, optical modules, switches and PCBs.
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