Abstract: One significant outcome of generative AI heralding the advent of Artificial General Intelligence (AGI) is its impetus for changes in the technological foundation of industrial organization. The theoretical reflection of these changes is that economics has begun to focus digital industrialization and industrial digitization around the development and application of artificial intelligence technology. Under the guidance of AGI, how does AI technology further reshape the technological foundation of industrial organization by enhancing artificial neural networks (machine learning)? What is the relationship between the future development of AGI and the technological foundation of industrial organization? Can we interpret this relationship by analyzing machine learning algorithms? Such research should at least encompasses the following aspects:the comprehensive processing of"computing power, algorithms, and data"by AGI, and how it affects enterprise decision-making and industrial organizational structures; in response to the guiding role of AGI, economics may consider analyzing the technological foundation of industrial organization, the digital technology ecosystems, and the digital economy ecosystems within a unified framework; regarding the future development of AGI and the evolving technological hierarchy of technological foundation of industrial organization, these phenomena may be interpreted as the logical basis for the technological foundation of industrial organization guided by AGI and the progress of digital technology. Based on the guiding role of machine learning algorithms or artificial neural networks in transforming the technological foundation of industrial organization, it is necessary for economics to answer the above questions by using machine learning algorithms as endogenous variables.