The Development Path and Ecological Reconstruction of Podcast Software Empowered by AIGC - Taking the "XiaoYuZhou" APP as an Example
Abstract
With the iterative development of new media technology, the forms and means of information dissemination are constantly being enriched, bringing about the recovery of the "ear economy". At the same time, with the development of cutting-edge technologies such as artificial intelligence, big data, and AIGC, the digital content industry is also undergoing profound changes. This article aims to take the "XiaoYuZhou" app as a typical case analysis and discuss the development status and trend of auditory software in the new media era. Analyze the restructuring effects of AIGC on podcast software in four dimensions: content production, distribution mechanism, user experience and business model. Combined with relevant theories and cases, this paper discusses the development trend of auditory software in the environment of new media and artificial intelligence, and puts forward suggestions and prospects for future development.
References
- Statista "Audio pdodcast consumption in the U.S. 2024" 2024.
- AI-Driven Podcast Generation from Technical Documents Using Retrieval-Augmented Generation and Multi-Speaker TTS Abhishek Biswas July 2025DOI: 10.5281/zenodo.15799197
- Gozalo-Brizuela, R., & Merchan, E. E. G. (2024). A survey of generative ai applications. Science Publications, 20 (8), https: //doi.org/10.3844/jcssp.2024.801.818
- Fan Li, Lin Shenyi. Exploration of New Forms of Podcast Content in the Context of the "Ear Economy" [J]. China Publishing Journal, 2021 (24): 31-35. [In Chinese]
- Zhang, X.Y. "ears" economic development characteristics and the status of [J]. Journal of news of the world, 2024(2) : 20-22. DOI: 10.19497 / j.carol carroll nki. 1005-5932.2024.02.005. [In Chinese]
- Diao J.Y. In the AIGC era where everyone can create with AI, who is responding to the trend? [N] China City News, 2025-08-18(010).
- Narayanan, "Quantifying creativity in AI-generated podcasts, " 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), Toronto, ON, Canada, 2025, pp. 1613-1618, doi: 10.1109/COMPSAC65507.2025.00217.
- Chris Anderson. The Long Tail: Why the Future of Business Is Selling Less of More [M]. Qiao Jiangtao, Shi Xiaoyan, trans. Beijing: CITIC Press Group, 2015.
- Liang Nan. Analysis of Audience Needs of Observation Variety Shows from the Perspective of the "Uses and Gratifications" Theory: A Case Study of 《My Little Tail》 [J]. Western Radio and Television, 2023 (14): 162-164. [In Chinese]