The loss of local music traditions due to the forces of globalization, the homogenization of technology, and the lack of preservation endangers the sustainability of the cultures. The current paper provides an insight into this vital question by examining the viability of artificial intelligence (AI) in maintaining indigenous musical traditions and developing new business models, and how they can function in creative economies. The dataset of 500 songs about three indigenous communities was curated and described in terms of tonal, rhythmic, and lyrical, and processed with the help of a generative adversarial network (GAN) model, neural reconstruction networks, and digital twins’ networks. The mixed-methodology design was used in this study to quantitatively and qualitatively assess the AI performance in our research fields and obtain opinions about the AI performance among the community practitioners and cultural stakeholders. The results show that AI models were very faithful in reproducing the musical constructions, and the respondents demonstrated that the musical contents were real and had identity relevant to the culture they lived in. In addition to this, the analysis identified three solutions that can be implemented as a sustainable creative business model platform cooperative, NFT-based licensing, and royalty-based streaming, each of which incorporates cultural preservation and equitable involvement in the economics. The findings identify the two-fold potential of AI as a technological protection of intangible heritage and a contributor to sustainable cultural entrepreneurship, which offers a solution to a more balanced intangible heritage protection mechanism, innovativeness, and sustainability in the global creative economy.
*Corresponding author: uswaali35@gmail.com
Copyright 2024 IJEASS
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