Theoretical Logic and Practical Pathways of Generative AI Stimulating Public Sports Consumption Potential

Harnessing the strategic opportunities of “expanding domestic demand” in the new development phase and utilizing cutting-edge digital technologies to fully tap into and unlock the sports consumption potential in the country has become both an urgent priority and a long-term necessity for promoting high-quality growth in sports consumption. Based on an analysis of the evolution of public sports consumption demand, this study deconstructs the internal mechanisms and practical applications of generative AI in empowering the expression of such demand. The study identifies several key issues: Cognitive schema restrict the granular expression of sports consumption demand; disparities in digital literacy impede the exploration of long-tail demand;inherent technological limitations diminish the generation of inspiration for expressing sports consumption demand; and the distortion of information collection constrains the co-creation of content related to sports consumption demand. The study suggests that in the process of generative AI empowering public sports consumption demand expression, it is crucial to continuously refine AI interaction algorithms in sports consumption to precisely bridge the differences in individual cognitive schema. Moreover, the inclusive benefits of digital technology should be fully realized to enhance the scale of individual sports consumption demand expression. Generative AI’s multi-configurational applications should be deepened to spark creative inspiration for individual sports consumption demand. Lastly, data privacy protection and information collection mechanisms need to be optimized to solidify the foundation of trust for expressing individual sports consumption demand.