What One Music Conference Got Right That Most Get Wrong

Most music business conferences have become networking events disguised as learning opportunities. Same panels. Same ground. Speakers spend half their time on their resume. The audience checks out and heads to the bar.

SORVEIV, a conference in southern Norway, took a different approach -- and the two insights they landed on are worth your time.

Insight 1: Tech Founders and Music People Still Don't Understand Each Other

This is the reason most music tech products fail to get adopted. Tech companies build for music without understanding how the industry works. Music professionals are afraid of the tools that could help them.

"Even though we think you should use this technology, the tech companies also need to understand how the music business works. We can't just capitalize on other people's rights."

The fix isn't more panels about AI. It's forcing both sides into the same room with actual conversation formats -- roundtables, open floors, no 20-minute bio introductions. SORVEIV tells speakers they have time for their name and company. Nothing more.

Insight 2: Everyone Hoards Data and It's Killing Innovation

AI companies track and identify music online. Startups collect proprietary datasets. Nobody shares. The result: "a thousand pop-ups that do the same thing" because none of them will collaborate on the underlying data.

The same problem hits artists directly. Younger musicians embrace AI tools but don't think about rights implications. Older artists don't trust that their rights are being respected. Both sides are right. Neither side is talking to the other.

The solution requires tech founders to respect rights holders and music professionals to stop being afraid of tools that could amplify their careers. That conversation happens best in person, not on Twitter.

Key Takeaways

• Music tech fails when founders skip industry education. Build for the industry as it actually works.
• Data hoarding fragments innovation. Companies sitting on proprietary datasets while duplicating each other's work is a waste.
• The best conference format: less resume, more conversation. Meet people where they are.