AI技术渗透漫画创作，并非始于Agent平台的爆发，早在2024年，已有头部创作者与工作室开始尝试。 开年不到一个月，Agent平台们就成为内容创作领域的现象级风口，这些平台正凭借自动化、全流程的智能创作能力，改写整个影视行业的生产逻辑与人 才格局，这其中也包括长期处于困境的漫画行业。 一边是传统漫画市场持续遇冷，原创作者生存空间被不断挤压；另一边是AI技术从高门槛走向普惠化，Agent平台打通漫画、漫剧、动画的创作链路。 当行业产能与创作门槛被同时重塑，低效产能与同质化内容快速出清，创意价值与工业化能力成为新的核心分水岭。人力流水线逐步被智能协同体系替 代，岗位分工、收入分配与内容话语权都在发生结构性位移。这场技术变革，究竟是帮助漫画人突破瓶颈的"好帮手"，还是加速行业洗牌的"颠覆者" 漫画人其实早和AI打过交道了 图片由 AI生成 2024年的漫画行业正陷入一场矛盾且残酷的行业困境：各大内容平台为收紧成本、优化自身盈利模型，持续压缩漫画内容的采购预算与作者稿酬分成，让 本就盈利空间有限的原创作者面临更严峻的收入压力。 但与此同时，平台为了在激烈的内容竞争中留住用户，又不断提高对画面精细度、分镜完成度、视觉 ...

Group 1 - The Hong Kong stock market opened high on January 23, with the Hong Kong Technology 30 ETF (513160) rising by 0.88% and trading volume exceeding 1 billion yuan [1] - Major constituents of the Hong Kong Technology 30 ETF include leading tech companies such as Alibaba-W, Meituan-W, and Tencent Holdings, with Alibaba-W increasing by over 3% [1] - The ETF has attracted over 110 million yuan in capital over the last 10 trading days, indicating strong investor interest [1] Group 2 - Haitong International Securities suggests that Hong Kong tech stocks will benefit from an upcoming window of intensive AI product releases, with companies like Alibaba and Tencent integrating AI into their business ecosystems [1] - The market sentiment is supported by expectations of a Federal Reserve interest rate cut and a recovery in A-share sentiment, leading to a structural upward trend in the Hong Kong stock market [2] - The long-term outlook for the AI and semiconductor industries remains positive, with a vibrant IPO market in Hong Kong, particularly in the new economy sector, providing structural opportunities for investors [2]

Group 1 - The core viewpoint of the article highlights that Zhouming Technology (300232) has a diverse client base that includes numerous Fortune 500 companies, government departments, and international professional organizations [1] - The company has successfully integrated its Agent platform with several mainstream models, including Microsoft AzureGPT5, Google CloudVertexGemini2.5, DeepSeekR1, and KimiK2, enabling comprehensive AI capability design through multi-model intelligent scheduling [1]