Research on the Evolutionary Path and Future Trends of Empowering the Digital Cultural Industry with Artificial Intelligence

Yurong  Shi

doi:10.54691/gtbwry83

Authors

Yurong Shi

DOI:

https://doi.org/10.54691/gtbwry83

Keywords:

Artificial Intelligence; Digital Cultural Industry; Evolutionary Path; Immersive Experience.

Abstract

With continual breakthroughs in artificial intelligence (AI) technologies and the expansion of their application scenarios, the digital cultural industry is undergoing an evolutionary process from basic informatization support to deep intelligent integration. This paper first reviews the current state of AI development and the evolution of the digital cultural industry, then explores the enabling roles of AI in two key stages— the Informatization Support Period and the Intelligent Integration Period. Through in-depth analysis of representative application cases—intelligent content creation and recommendation, virtual reality and immersive experiences, digital museums and cultural heritage preservation, and digital performance and virtual idols—this study reveals how technology drives transformations in industry models, user experiences, and value chains. Finally, it looks ahead to AI’s future development in algorithmic innovation, multimodal interaction, ecosystem collaboration, and policy governance, and offers countermeasures for challenges such as data security, copyright protection, and talent cultivation. The research aims to provide government, industry, and academia with a systematic theoretical framework and practical roadmap to support the high-quality, sustainable development of the digital cultural industry.

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References

[1] Devagiri, Jeevan S., et al. "Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges." Expert Systems with Applications 207 (2022): 118002.

[2] Khosravy, Mahdi, et al. "Human-collaborative artificial intelligence along with social values in industry 5.0: A survey of the state-of-the-art." IEEE Transactions on Cognitive and Developmental Systems 16.1 (2023): 165-176.

[3] Pavlidis, George. "AI trends in digital humanities research." Trends in Computer Science and Information Technology 7.2 (2022): 026-034.

[4] Poulopoulos, Vassilis, and Manolis Wallace. "Digital technologies and the role of data in cultural heritage: The past, the present, and the future." Big Data and Cognitive Computing 6.3 (2022): 73.

[5] Fan, Jingyi. "Innovation and Exploration of the Path to Cultivating University Students' Cultural Awareness through New Media in the Context of Cultural Inheritance." Media and Communication Research 4.11 (2023): 61-70.

[6] Liu, Ming, et al. "Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools." Future in Educational Research 1.1 (2023): 72-101.

[7] Gladden, Matthew, Paweł Fortuna, and Artur Modliński. "The empowerment of artificial intelligence in post-digital organizations: exploring human interactions with supervisory AI." Human Technology 18.2 (2022): 98-121.

[8] Shen, Yan, and Fang Yu. "The influence of artificial intelligence on art design in the digital age." Scientific programming 2021.1 (2021): 4838957.

[9] Abisoye, Ajayi, and Joshua Idowu Akerele. "A scalable and impactful model for harnessing artificial intelligence and cybersecurity to revolutionize workforce development and empower marginalized youth." International Journal of Multidisciplinary Research and Growth Evaluation 3.1 (2022): 714-719.

[10] Voronkova, Valentyna, et al. "Digital technology evolution of the industrial revolution from 4g to 5g in the context of the challenges of digital globalization." TEM Journal. 12.2 (2023): 732-742.