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计算机行业月报:海外AI投入加大,国产基础软硬加速发展-20250815
Zhongyuan Securities·2025-08-15 14:09

Investment Rating - The report maintains an "Outperform" rating for the industry [1][4]. Core Insights - The AI sector is witnessing significant advancements, with the release of GPT-5 showing performance improvements, although it did not meet expectations for a generational leap. The overall performance gap with competitors remains limited [3][41]. - Domestic software and hardware are accelerating development, with foundational software growth at 13.8% in the first half of 2025, indicating a recovery trend and potential for further acceleration in the second half of the year [3][19]. - The capital expenditure of major US tech firms reached a record high of $99.973 billion in Q2 2025, reflecting a 77% year-on-year increase, driven by AI business growth [4][62]. Summary by Sections Industry Data - In the first half of 2025, the software industry revenue reached 7.06 trillion yuan, growing by 11.9% year-on-year, with a profit total of 858.1 billion yuan, up 12.0% [13][14]. - The IC design sector showed the highest growth at 18.8%, while cloud and big data services grew by 12.1% [18][19]. AI Developments - The number of AI-related project bids reached 574 in July 2025, with disclosed amounts totaling approximately 1.335 billion yuan, marking year-on-year increases of 422% and 540% respectively [3][79]. - Major models in the first tier include OpenAI's GPT-5, xAI's Grok 4, and Alibaba's Qwen3-235B, with the latter being recognized as the strongest open-source model globally [33][73]. Domestic Market Trends - The domestic AI chip manufacturers are experiencing accelerated growth, with the open-source CANN aiding in the establishment of a robust AI ecosystem [3][19]. - The report highlights the increasing preference for domestic software and hardware solutions amid international uncertainties [4][19]. Capital Expenditure Trends - The capital expenditures of six major US tech firms reached a new high, indicating a strong investment trend in AI and cloud infrastructure [4][62].