These Legendary Producers Call AI Music Inevitable, and Their Potential Solution for Co-Existing With It Is Pretty Interesting

2026-06-23 · Source: AI Archives - VICE · Field: Media & Entertainment — Content Creation & Production, Entertainment Technology & Innovation, Artificial Intelligence & Machine Learning · Depth: Novice, medium

Summary

Iconic producer duo Jimmy Jam & Terry Lewis, in an interview for Pandora's "Artists on AI" series, acknowledge AI music as an inevitable technology, akin to the rise of streaming. They advocate for establishing "guardrails" to manage its impact, emphasizing the irreplaceable "humanity in music," which includes spontaneity and imperfections. Jam and Lewis firmly state that using an artist's voice or work for AI training requires explicit permission and appropriate compensation, deeming unauthorized use "wrong" and "disrespectful." They propose creating a separate chart for AI-generated music to ensure "accountability" and clear discernment from human creations. Lewis highlights that AI cannot replicate the profound emotional connection and "hair-on-your-arm" experience of a live human performance, suggesting that true artistry will always stand apart.

Key takeaway

For legal professionals and policymakers addressing AI in creative industries, your focus should be on establishing clear regulatory "guardrails" for AI music. Mandate explicit permission and fair compensation for artists whose work trains AI models, ensuring ethical data use. Additionally, consider implementing distinct classification systems, like separate music charts, to maintain transparency and differentiate human artistry from machine-generated content. This approach protects creators while navigating AI's inevitable integration into the industry.

Key insights

AI in music is inevitable but requires ethical "guardrails" for permission, compensation, and clear distinction from human art.

Principles

• Permission and payment are crucial for AI training data.
• Human spontaneity defines musical artistry.
• AI-generated content needs separate classification.

In practice

• Implement permission and payment for voice/work training.
• Advocate for distinct AI music charts.
• Focus on unique human performance qualities.

Topics

• AI Music
• Artist Rights
• AI Regulation
• Data Compensation
• Intellectual Property
• Music Industry Ethics

Best for: AI Ethicist, Legal Professional, Policy Maker

Related on AIssential

• BMG sues Anthropic for using Bruno Mars, Rolling Stones lyrics in AI training — AI training on copyrighted content faces increasing legal challenges, particularly from aggressive copyright holders like music labels.
• Mozilla Foundation Brings Hollywood’s AI and IP Reckoning Into the Open — AI's impact on creative ownership necessitates artist-legal-technologist collaboration to shape equitable IP frameworks.
• ‘It will never cover what’s authentic’: African music industry weighs up AI risks and rewards — AI offers music industry tools but cannot replace human authenticity, especially in vulnerable markets.
• The Guardian view on changes to copyright laws: authors should be protected over big tech | Editorial — Authors are demanding robust copyright legislation to protect their work and livelihoods from unlicensed AI use.
• How Musicians Can Get Paid for Training AI — New economic models are emerging to compensate musicians for AI training data, moving beyond traditional "use" definitions.
• Spotify is launching AI-generated remixes - theverge.com — Music industry partnerships are enabling AI tools for fan-generated content with artist compensation.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by AI Archives - VICE.