Core Insights - The article discusses the anxiety traditional industries face in the age of AI, questioning the practical benefits AI can bring to manufacturing, consumer goods, and supply chains [1] - Liu Chen, CEO of Lingdi Technology Style3D, shares his journey from traditional garment manufacturing to leading a tech unicorn, emphasizing the need for AI to address core industry challenges like inventory and efficiency [2][3] - The future of manufacturing may shift from low-cost labor countries to locations closer to consumers as AI and automation reduce labor costs [2][3] AI Integration in Traditional Industries - Liu Chen advocates for a dual approach of combining AI with core technologies (e.g., 3D modeling) to transform traditional industries, rather than relying solely on AI-generated content [4][5] - The integration of AI and core technologies can lead to exponential improvements in productivity, allowing tasks that once took large teams weeks to complete to be done by a single individual in hours [5] Organizational Transformation - The structure of organizations is shifting from linear to networked models, emphasizing the importance of proprietary data for competitive advantage [6] - CEOs must take on the role of "AI architects," understanding data governance and AI workflows to avoid transformation efforts becoming mere IT tasks [7][8] Educational Insights - The course led by Liu Chen aims to provide traditional industries with a framework to leverage technology for business model transformation, applicable across various sectors [9] - Key questions addressed in the course include the integration of general and specialized AI models, data governance, the role of CEOs in AI transformation, and the characteristics of "super individuals" in the AI era [11]