Core Insights - The article discusses the rise of the term "Industrial Cthulhu," reflecting on the significant advancements in industrial value in the U.S. and China, highlighting the latter's dominance in global industrial output [4][5][24] - It emphasizes the challenges and opportunities in integrating artificial intelligence (AI) into industrial processes, particularly through the example of the Smart Institute, a subsidiary of China National Building Material Group [10][25] Group 1: Industrial Value and Global Standing - In 2024, the U.S. industrial value reached a historic high of $374 billion, with manufacturing value at $291 billion, while Germany and Japan's industrial values were $98 billion and $93 billion, respectively, significantly lower than the U.S. [4] - China achieved an industrial value of 40.5 trillion RMB (approximately $5.69 trillion) in 2024, maintaining its position as the world's largest industrial nation, accounting for over 30% of global output [5] - In heavy industries like cement, China produced 1.825 billion tons in 2024, nearly 50% of global production, marking 39 consecutive years at the top [7] Group 2: AI Integration in Industry - The Smart Institute has developed an industrial AI model that optimizes production processes, reducing cement production costs by an average of 2 RMB per ton, generating significant economic benefits for factories [9][10] - The institute has established a standardized implementation plan for AI applications, expanding its services to 66 factories in 2024 and aiming for over 100 by 2025 [11] - The challenges of implementing AI in industrial settings include data handling, understanding complex business logic, and ensuring stability and low error rates in production environments [17][18] Group 3: Future Directions and Innovations - The Smart Institute aims to further develop AI applications to help reduce cement production costs by 3-5 RMB per ton, with a projected payback period of under one year [18] - The integration of AI in industrial processes is seen as essential for enhancing productivity and addressing the pressures of rising costs and environmental regulations [24][25] - The article concludes that AI must be deeply rooted in industrial practices to unlock its full potential and drive a new wave of industrial revolution [25]
产业大模型，跑出一只“水下独角兽”