Group 1 - The core message of the article emphasizes that the AI era is just beginning, with a focus on selling outcomes rather than tools, marking a shift towards a trillion-dollar opportunity in the AI sector [2][3][88] - The article highlights a fundamental change in the revenue model from selling tools to selling results, indicating that companies will now be evaluated based on their ability to deliver measurable outcomes [10][54][90] - The concept of "operating system-level AI" is introduced, suggesting that the future of AI will involve systems that actively manage tasks rather than merely responding to commands, thus reshaping the interaction between users and AI [23][25][29] Group 2 - The article discusses the emergence of an "agentic economy," where AI systems are not just tools but autonomous agents capable of decision-making and collaboration, fundamentally altering the economic landscape [31][38][88] - It outlines the transition from traditional software models to a new paradigm where AI applications are evaluated based on their ability to complete tasks and deliver results, rather than just their features [46][54][90] - The article stresses the importance of organizational structure in leveraging AI effectively, indicating that success will depend on how well companies can integrate AI into their workflows and decision-making processes [68][72][87] Group 3 - The article notes that the AI market is shifting from a focus on model capabilities to a focus on the ability to deliver results, with companies needing to adapt their strategies accordingly [17][54][90] - It emphasizes that the future of AI applications will rely on a collaborative network of intelligent agents rather than isolated tools, requiring a rethinking of organizational roles and responsibilities [38][72][86] - The article concludes that AI is evolving from a technical product to a new economic model, where the emphasis is on continuous delivery and self-driven collaboration rather than merely performing tasks [88][90][91]

Counterpoint AI 360 研讨会圆满落幕！ 深圳，2025 年 3月 20 日 2025年3月20日，由 Counterpoint Research 主办的AI 360研讨会在深圳东海朗庭酒店成功举办！ 本次研讨会以"智能移动生态中的AI经济"为主题，汇聚了58位全球行业领袖齐聚一堂，包括来自 顶尖企业高管、知名学者及资深分析师，共同探讨AI技术的前沿发展与商业机遇。 外部嘉宾：跨界视角激荡思维 本次研讨会首次特邀 3 位外部行业嘉宾，与 Counterpoint 资深分析师团队联袂呈现多维度深度洞 察。 陈晓春 OPPO AI技术战略规划总监 OPPO AI 手机实践与探索 汪扬 香港科技大学 副校长（大学拓展） Counterpoint Research 副总裁 2025 MWC 最新洞察：AI 从概念到落地 AI 360:从智能到万物智能 AI 时代的机遇与人才培养 周树峰 面壁智能 商业化副总裁 从无所不能到无处不在的大模型 （嘉宾先后顺序按照姓名首字母排序） 内部分析师：Counterpoint 资深分析师，数据驱动洞察 Tarun Pathak Counterpoint Resear ...

Core Insights - The AI 360 seminar hosted by Counterpoint Research focused on the theme of "AI Economy in the Smart Mobile Ecosystem," bringing together 58 global industry leaders to discuss advancements and business opportunities in AI technology [3][29]. Group 1: External Guests and Insights - The seminar featured three external industry guests who provided multi-dimensional insights alongside Counterpoint's senior analyst team [5]. - Key speakers included: - Chen Xiaochun, OPPO AI Technology Strategy Planning Director, discussing AI mobile practices and explorations [6]. - Wang Yang, Vice President of Hong Kong University of Science and Technology, addressing opportunities and talent cultivation in the AI era [7]. - Zhou Shufeng, Vice President of Mianbi Intelligent, presenting on the transition of large models from omnipotent to ubiquitous [9]. Group 2: Roundtable Discussion - A roundtable discussion, moderated by Counterpoint's senior analyst Archie Zhang, explored four core topics: - Technical bottlenecks and evolution directions of AI Agents - Competitive and cooperative relationships among mobile manufacturers, internet companies, and academic institutions in the Gen AI business ecosystem - Strategies for Chinese AI new forces to break through in global competition - Balancing innovation and ethics in AI sovereignty and regulatory frameworks [14][16]. Group 3: Participating Companies - The seminar attracted participation from 44 leading companies across the AI industry chain, covering a complete ecosystem from core hardware to terminal applications [17][19]. - Participating companies included OEMs, semiconductor component manufacturers, display technology firms, optical component manufacturers, ODMs, and representatives from information and communication technology (ICT) and telecom operators, highlighting the cross-domain penetration of AI technology and the necessity for collaborative innovation within the industry [19]. Group 4: Conclusion and Future Outlook - The AI 360 seminar concluded with a call for continued collaboration in building a global platform for AI technology and business, emphasizing the importance of strategic consensus and cooperative momentum for the future of the AI economy [29].

1.会议介绍 2.参会分析师预告 Peter Richardson Counterpoint Research 副总裁 Peter 在移动通信行业拥有 27 年的丰富经验，尤其在市场分析和企业发展战略方面造诣颇深。前 期，Peter 曾担任诺基亚全球市场与竞争情报主管，带领团队负责行业分析与量化研究。在加入 诺基亚之前，Peter 曾是 SoundView Technology Group 的股票分析师。更早之前，他在 Gartner 担 任副总裁兼移动与无线研究首席分析师。Peter 的职业生涯起步于 NEC 和松下，在这两家公司积 累了宝贵的行业经验。 Tarun Pathak Counterpoint Research 研究总监 在科技变革的浪潮中，AI 已成为产业革新的核心驱动力，深度重塑经济与产业生态，创造无限 机遇。作为科技市场研究机构，Counterpoint Research 将于 2025年3月20日 在深圳举办 AI 360 研 讨会，汇聚全球 AI 领域的优秀分析师、专家学者、行业领袖，共同探讨 AI 从基础到前沿领域 的发展、机遇与经济价值。 Archie Zhang Counterp ...