The explosion of AI in music production promises to level the playing field for independent artists. Tools that can mix, master, and even co-write are now available to everyone. But does this democratization of tools actually help the indie artist, or does it create a new, higher bar for success?

This episode explores the double-edged sword of AI in music. We look at a real-world example: an artist used to struggle with the high cost of post-production, spending thousands on mixing and mastering. Now, AI tools give them a professional sound for a fraction of the cost. The pain point of budget is gone, but now their perfectly produced song is lost in a sea of millions of other perfectly produced songs. How do they stand out now?

Key Takeaways:

- Is professional sound quality now a minimum requirement, not a feature?

- If an AI can write a chord progression, what is the new role of the songwriter?

- How can artists use AI for marketing and branding, not just production?

- Will the future of music be defined by AI-powered "super-producers" or unique human artists?

- What happens when AI can create not just the music, but the entire artist persona?

- Is learning to "prompt" an AI a more valuable skill than learning music theory?

- How does an artist build a true fanbase when listeners can generate infinite music themselves?

- Could AI tools lead to a new genre of music that is impossible for humans to create alone?

Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818