Core Viewpoint - The article emphasizes the establishment of AI innovation bases in various cities, aiming to transform local economies through collaborative efforts and localized solutions in the AI sector [5][12][19]. Group 1: AI Innovation and Collaboration - A total of 14 cities have gathered to form the first batch of co-builders for AI innovation centers, with an invitation extended to 24 new cities to join the initiative [1][6]. - The initiative focuses on creating localized AI transformation scenarios, utilizing real business cases and chaotic AI tools to drive regional economic development [2][4]. Group 2: Key Principles and Strategies - The three key principles being validated include: 1. Opportunities arise from gaps in the market 2. Localization is essential for success 3. Ecosystem collaboration is more valuable than individual efforts [12]. - The article outlines a structured approach for co-builders, including a candidate selection process, systematic training, and resource allocation to ensure effective participation [18]. Group 3: Economic Impact and Future Vision - The initiative aims to embed innovation genes into local economies, with the potential to rewrite industrial logic and create significant economic impacts by 2025 [19]. - The article highlights the importance of creating a network of regional innovation communities to facilitate knowledge sharing and collaborative growth [16].

Core Viewpoint - The article emphasizes the establishment of AI innovation bases in various cities, aiming to transform local economies through collaborative efforts and localized solutions in the AI sector [5][12][19]. Group 1: AI Innovation and Collaboration - A total of 14 cities have gathered to form the first batch of co-builders for AI innovation centers, with an invitation extended to 24 new cities to join the initiative [1][6]. - The initiative focuses on localized AI transformation scenarios, utilizing real business cases and chaotic AI tools to create economic transformation blueprints [2][4]. Group 2: Key Principles and Opportunities - The article outlines three key principles for successful AI transformation: recognizing opportunities in gaps, prioritizing localization, and fostering ecosystem collaboration over individual efforts [12]. - The first batch of co-builders is already validating these principles through various industry transformation cases and building a national network of collaborators [12]. Group 3: Economic and Strategic Importance - The initiative identifies strategic cities as economic high grounds and emerging markets, including locations like Hong Kong, Qingdao, and Kunming, which are seen as pivotal for regional AI ecosystem development [14]. - The program aims to create a commercial closed loop by providing training, resources, and support to local businesses, enhancing their capabilities in AI [16][20]. Group 4: Participation and Benefits - The second batch of co-builders will undergo a structured process involving candidate selection, training, and certification, with a focus on unlocking regional resource management rights [18]. - Co-builders will benefit from a shared product matrix, including courses and consulting services, and will enjoy revenue sharing and long-term value participation [20].

Core Viewpoint - The primary crisis for enterprises in the AI era is not the inability to use AI tools, but rather the challenge of leaders applying industrial thinking to navigate the AI revolution [2] Group 1: Leadership Challenges in the AI Era - Leaders face five typical issues in the AI era, including uncertainty on where to start with AI and the struggle to integrate AI into business scenarios [1][3] - There is a need to redefine leadership in the AI era to ensure success [4] Group 2: Course Content and Value - The course aims to provide insights on the differences between AI leaders and traditional leaders, emphasizing the importance of a holistic view [4] - It includes case studies on how companies successfully address large demands in the AI era by starting with small scenarios [4] - The course is taught by Zhang Lei, a practitioner in AI business operations, and includes practical tools for immediate application [5] Group 3: Target Audience - The course is designed for founders/CEOs of companies with annual revenues over 50 million, heads of digital transformation, and decision-makers focused on building core competitiveness [6]