HAI TIAN(SH:603288) 吴晓波频道·2026-01-30 00:30Core Viewpoint - China has been the most aggressive testing ground for industrial intelligence over the past decade and is set to build the world's most advanced artificial intelligence factory clusters in the next decade [2][43]. Group 1: AI in the Workplace - Employees have mixed feelings about AI, hoping it will reduce their workload while fearing job displacement, with 75% of decision-makers more concerned about missing AI opportunities than wasting money [3][4]. - Many manufacturing enterprises are hesitant to adopt AI due to uncertainty about implementation and fear of ineffective investments [4][6]. Group 2: Challenges in AI Adoption - The primary challenges faced by manufacturing companies in adopting AI include: - Data Utilization: Many factories invest heavily in data collection but end up with "dead" data that is outdated or inconsistent, making it difficult to train AI effectively [6][7]. - Overwhelming Technology Choices: The vast array of AI applications in manufacturing creates confusion, leading companies to either follow trends blindly or remain inactive [8]. - High Cost of Trial and Error: The unique nature of industrial applications means that the costs associated with failed AI implementations can be prohibitively high [9][10]. Group 3: Successful AI Implementation Strategies - Successful companies often start by addressing a specific, pressing issue rather than attempting to create a comprehensive smart factory from the outset [12][14]. - AI serves as a "super assistant" to human workers, solving problems that were previously difficult or costly to address [15]. Group 4: Case Studies - In the Hai Tian factory, AI has transformed traditional processes, such as selecting soybeans, by using advanced scanning technology to improve efficiency and accuracy [17][18]. - The Haier factory employs a VR welding training system that enhances safety and reduces training time by 30% [20]. - At the Zeekr factory, AI systems optimize collaboration between robots and workers, resulting in a 30% increase in assembly efficiency and a 25% reduction in defect rates [23]. Group 5: AI+Manufacturing Practical Training Camp - The "AI+Manufacturing" practical training camp aims to help enterprises understand and implement AI effectively by providing real-world case studies and expert guidance [28][30]. - Participants will engage in deep discussions with factory leaders and AI engineers to understand the rationale behind their AI implementations and the challenges faced [32]. - The camp emphasizes output, with each participant leaving with a personalized action plan tailored to their company's specific needs and constraints [34][35].