How AI Reveals the Music Industry’s Operational Gaps

AI isn’t just reshaping creativity in music—it’s highlighting systemic inefficiencies. Sammy Andrews of Deviate Digital explains how the industry must adapt.

How AI Reveals the Music Industry’s Operational Gaps

Artificial intelligence is transforming the music industry, but not in the way many expected. While the focus has often been on AI’s creative potential, it’s also exposing long-standing operational inefficiencies. Sammy Andrews, founder of Deviate Digital, dives into how the global music business is actually using AI—and why the conversation is finally evolving beyond debates over rights.

The Creative Bias in Music

For decades, the music industry has prioritized creative output over operational foundations. Artists, producers, and labels have focused on crafting hits, often neglecting the backend systems that keep the industry running smoothly. This imbalance isn’t new, but AI is bringing it into sharp relief.

Where AI Fits In

AI isn’t just a tool for generating melodies or mastering tracks. It’s also a way to streamline workflows, improve data management, and enhance decision-making. Yet, many industry players are still using AI primarily for creative tasks, missing opportunities to optimize their operations. Here’s where AI can make a difference:

Streamlined Licensing: AI can automate royalty calculations and rights management, reducing errors and disputes.
Data-Driven Marketing: Analyze listener behavior to craft targeted campaigns that resonate.
Operational Efficiency: Automate repetitive tasks like invoicing and contract management.

The Shift in Conversation

According to Andrews, the dialogue around AI in music is finally moving beyond linear arguments over rights and ownership. Instead, industry leaders are beginning to explore how AI can address operational challenges. This shift is crucial for the industry’s long-term sustainability.

What Needs to Change

To fully leverage AI, the music industry must rethink its priorities. Here’s what needs to happen:

Invest in Infrastructure: Upgrade outdated systems to integrate AI effectively.
Educate Stakeholders: Ensure artists, managers, and executives understand AI’s operational potential.
Collaborate Across Sectors: Foster partnerships between tech companies and music industry players.

The Road Ahead

AI isn’t just a buzzword—it’s a catalyst for change. By addressing its operational gaps, the music industry can unlock new levels of efficiency and innovation. The time to act is now.