What 10 Years of AI Taught an Engineer Behind Oscar, Emmy, and Grammy Projects episode artwork

EPISODE · Jan 8, 2026 · 44 MIN

What 10 Years of AI Taught an Engineer Behind Oscar, Emmy, and Grammy Projects

from AI Music Unmuted · host RealMusic.ai

In this episode of the RealMusic.ai Podcast, David O’Hara speaks with Daniel Rowland, VP of Strategy & Partnerships at LANDR Audio, engineer, producer, and educator with over ten years of experience working with AI in music. His career spans studio work, technology leadership, and projects connected to Oscar, Emmy, and Grammy recognition. The conversation moves beyond hype to explore what actually changes when AI enters real music workflows. Daniel shares how his perspective on AI has evolved over a decade, where it genuinely supports musicians and producers, and why human taste, judgment, and intent remain essential to meaningful music. They also discuss AI mastering, the difference between finishing music and creating it, and how artists can use AI as an assistive tool without losing creative identity. This episode offers a grounded, experience-driven look at where AI fits in modern music making.

Episode metadata supplied by the publisher feed · Published Jan 8, 2026

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Daniel Rowland of LANDR shares insights from over ten years working with AI in music, drawing on experience across award-level projects, production, and technology. The conversation explores where AI truly helps musicians, why human taste still matters, and how artists can use AI without losing creative intent.

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What 10 Years of AI Taught an Engineer Behind Oscar, Emmy, and Grammy Projects

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