The Applied Research on Internet of Things Economic Behavior of Generative AI and its Social and Economic Impacts

The study comprehensively evaluates the economic characteristics and social effects of the behavior of generative AI models by constructing a theoretical model based on behavioral economics and integrating statistical analysis methods applicable to machine learning. Through the analysis of empirical data from different industries and fields, it reveals the positive effects of generative AI grand models in promoting industrial upgrading, optimizing resource allocation, and enhancing the accuracy of market forecasts, the significant advantages of generative AI models in optimizing decision-making, reducing costs, and playing an important role in product and service personalization. In addition, the ethical risks and countermeasure suggestions in the economic application of generative AI are explored, and the importance of policy and regulation construction in guiding the healthy development of AI technology is analyzed. This study not only provides a new perspective for understanding the role of generative AI big models in economic behavior, but also provides a scientific decision-making basis for policy formulation and enterprise practice.