2025年12月19日，以"共生组织.领导力新范式——当领导者与AI共同进化、共生增长"为主题的2025年 度AI领导力大会在江苏太仓Club Med地中海白日方舟.太仓度假村成功举办。本次大会由AI领导力修炼 之路社区发起、通往AGI之路协办、上海复初企业管理咨询有限公司承办，并得到了复星、上海现代服 务业发展研究基金会、太仓阿尔卑斯国际度假区等单位的大力支持。大会汇聚150位精英企业家，直面 AI时代的核心命题：当AI重新定义一切，领导者如何发展？组织如何进化，才能在变革中赢得未来？ 大会主持上海复初企业管理咨询有限公司联合创始人邱肃川 时代洞察：AI领导力的确定性方向 复星国际联席CEO、五星领导力研习社轮值会长徐晓亮以《知行合一：与AI共生》为题作年会开幕演 讲，围绕"知行合一"，从宏观、中观、微观三个维度阐释了他对AI领导力的思考，以及在AI领导力思维 下，复星对AI应用的探索与实践。徐晓亮表示："AI是智能时代最大的红利。企业间的竞争，本质上是 AI组织间的竞争，核心是要有AI领导力，也就是领导AI组织的能力。企业需要以'知'的能力，看清方 向、把握本质；继而以'行'付诸实践、跨越挑战；最终实现' ...

Core Insights - The essence of leadership is characterized by its relevance to the times, emphasizing that there are no successful companies, only those that adapt to the era [1] Group 1: Book Overview - The new book "Leadership in the AI Era: Concepts and Practices" introduces the innovative "Symbiotic Leadership" framework, aimed at guiding Chinese enterprises through transformation in the AI age [1] - The book outlines three dimensions of symbiosis: the coexistence of human intelligence and machine intelligence, the integration of traditional and digital economies, and the collaboration between individual enterprises and ecosystems [1] Group 2: Leadership Operating System - The book proposes a "Leadership Operating System" supported by five key skills: decision-making, communication, collaboration, innovation, and efficiency, along with over 30 practical leadership tools [2] - The publication represents a shift from static knowledge to an organic growth model, emphasizing the need for leadership to evolve through practice [2] Group 3: AI Integration - The book features an AI entity called "AI Teacher Bao," which serves as a digital counterpart to provide personalized problem diagnosis and solutions for leaders, addressing the gap between theoretical knowledge and practical challenges [2] - This innovative model is seen as a revolution in publishing and a new paradigm for integrating knowledge and action [2] Group 4: Future of Leadership - Experts suggest the need for a "Leadership Key Laboratory" to transform research outcomes into a sustainable knowledge infrastructure, reflecting the fundamental reshaping of leadership in response to AI replacing many human jobs [2]

Group 1 - In 2025, global enterprises are undergoing a "leadership test" driven by AI, with companies like Microsoft, Huawei, and ByteDance leading the way in productivity and revenue growth [1][2] - Traditional leadership structures are being challenged as AI becomes integrated into the workplace, leading to a shift towards intelligent organizations [2][3] - A significant percentage of young leaders (82%) are already using AI in their work, indicating a generational shift in leadership dynamics [3][7] Group 2 - The reliance on AI tools is creating a power shift within organizations, as employees prefer consulting AI over their leaders due to its impartiality and efficiency [7][8] - The leadership environment is changing, with younger employees using AI to challenge traditional decision-making processes, leading to a potential "digital divide" within teams [10][11] - Decision-making transparency is increasing, putting pressure on leaders as AI can analyze and critique their decisions [11][12] Group 3 - Leaders must redefine their roles to leverage AI effectively, focusing on collaboration between human and machine [13][14] - Trust in leadership is being tested as employees increasingly rely on AI for decision-making, raising questions about the rationality of human leaders [14][16] - The concept of "symbiotic leadership" is emerging, where leaders must integrate traditional and digital economies, creating value through collaboration [17][18] Group 4 - Companies are encouraged to adopt a leadership operating system that addresses six key pain points, enhancing decision-making and team communication through AI [21][22] - Successful organizations are those that utilize platforms to integrate resources and foster collaboration within their ecosystems [18][19] - The future leader will be a coordinator of human-machine collaboration, focusing on understanding both data and human nature [29][30]