Tristra Newyear Yeager, AI expert, discusses generative AI impact on music industry, musician revenue sources, & AI role in music creation & business models. Insights on AI applications for mixing/mastering, content saturation, DIY approaches in the digital era, & direct sales strategies.
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Quick takeaways
Generative AI opens new avenues for musical expression and creativity in the industry.
AI tools could disrupt stock music and sync licensing, impacting traditional revenue streams for musicians.
AI assists creators in standing out by analyzing trends and enhancing discoverability for diverse audiences.
Deep dives
Impact of Generative AI on Music Industry
Generative AI is revolutionizing creativity in the music industry, allowing people to explore new avenues of musical expression and sound generation. Models like Suno.ai showcase the potential of AI to create convincing tracks and offer new possibilities for musicians to experiment and create unique sounds. While AI tools can bring up average levels of creativity, there is still a gap between those who understand music language and those who don't, opening up opportunities for more people to engage with music creation.
Challenges in Stock Music and Sync Industry
AI tools like Suno could potentially disrupt the stock music and sync industry, offering cheaper and more accessible options for content creators to find and license music. This could impact musicians who rely on stock music revenues and challenge the traditional processes of music licensing for visual media. The rise of AI-generated music may lead to concerns about managing the influx of content and navigating copyright issues in a changing landscape.
Navigating the Sea of Content with AI
As the sea of content grows, musicians and authors face the challenge of standing out in a crowded digital space. AI tools can help in analyzing trends, patterns, and user behaviors to assist in marketing and audience targeting. By leveraging AI for search algorithms, metadata optimization, and personalized recommendations, creators can cut through the noise and connect with their target audiences more effectively.
Evolution of Music Listening Preferences
Young listeners now have diverse music preferences, with a shift from siloed genres to a mix of various types and languages. Genres like kpop, jpop, and Latin music are gaining popularity among young audiences. AI tools are playing a significant role in enhancing discoverability by providing nuanced recommendations based on individual preferences and criteria.
Changing Business Models in the Music Industry
The music industry is experiencing a shift in business models with a focus on direct sales and alternative revenue streams. Indie musicians are exploring methods like live streaming, subscription services, and unique merchandising to generate income. This diversification reflects a departure from traditional revenue sources like Spotify streams, signaling a move towards a more sustainable and artist-centric approach.
What can authors learn from the adoption of AI into the music industry? What are some of the ways musicians are making money in the fractured creator economy? Tristra Newyear Yeager gives her thoughts in this interview. In the intro, Draft2Digital announced a retail distribution agreement with Fable [D2D]; Kobo launches a new color e-reader […]