AI Music Technology Expert: Lessons From MIDI, Pro Tools and Atmos

An AI music technology expert is someone who has lived through the earlier technology shifts in music and can tell which parts of AI will change the work and which will fade. I am David Frangioni. I have worked at the front of MIDI, surround sound, Pro Tools and Dolby Atmos, and today I advise companies, labels and catalog owners on AI.

Every shift in music technology follows the same pattern

I started a MIDI consulting business at 16. MIDI let one musician control a room full of instruments, and almost overnight the people who understood it were writing, producing and touring differently from everyone else. A few years later I released one of the first drum sample libraries, at a time when many drummers saw samples as a threat. Then came surround: in 1995 I mixed the first 5.1 DTS surround music CD and helped bring DTS to consumers.

In each case the pattern was the same. The technology arrived first, the hype came with it, and then the people who understood the workflow decided who actually benefited. Musicians and engineers who learned the new tools on their own terms built careers. Companies that tried to replace the people rather than serve them usually disappeared.

AI is that pattern at a larger scale and a faster speed. That is why I look at every AI product through the workflow first and the model second.

What Pro Tools taught me about adoption

In the 1990s I pioneered Pro Tools turnkey studios and training, delivering complete systems to artists and producers and teaching them to work with them. The software was powerful, but power alone did not move the industry. What moved it was a system that worked on the first day, training that respected how artists already made records, and support when something broke in the middle of a session.

The same is true of AI in music now. A model that is impressive in a demo does not survive contact with a real session unless it fits the way professionals work, earns their trust and keeps them in control. When I advise a technology company, most of the work is on that bridge between capability and adoption, not on the model itself. I wrote about that role in What a Music AI Advisor Does for a Technology Company.

Proof in practice: an AI built on permission

As owner and CEO of Modern Drummer, I built the Modern Drummer Planet, which opens the full archive to drummers for free. Its Ask Anything feature answers questions from that archive and credits the work it draws on. That design choice is my position on AI in one product: the best AI I have deployed retrieves and cites human work rather than replacing it.

That approach protects the people who make music through consent, attribution, compensation and verification, and it also makes the product better. Answers grounded in a real archive are more accurate, and the musicians and writers behind that archive gain visibility instead of losing it. You can see more of this work on my Music Technology and AI Platforms page.

Where AI belongs in music right now

Immersive mixing is a good test. I mix catalog albums in Dolby Atmos, including the KISS Rock And Roll Over 50th anniversary edition. AI tools can help with stem separation, session organization and repetitive editing, and that time goes back into the creative decisions. The decisions themselves, how a 1976 drum sound should sit in a 7.1.4 room and what the artist intended, stay with people who know the music. Frangioni Media explains the build side of that work in How a Classic Album Gets Remixed in Dolby Atmos.

When I evaluate an AI product or strategy, I look for four things: it serves a workflow professionals already have, it respects the rights and credit of the people whose work it learns from, a professional can verify and override what it does, and it makes the music or the business better rather than only cheaper. Products that meet all four are the ones that last.

If you are building or deploying AI in music and want an experienced view before the decisions that are hard to undo, start a private conversation with me about AI music technology consulting.

FAQ

What does an AI music technology expert do?

An AI music technology expert evaluates where AI improves music creation, distribution and archives, and where it creates risk, then advises companies, labels and catalog owners on products, rights and adoption.

What is David Frangioni’s background in music technology?

David Frangioni started a MIDI consulting business at 16, released one of the first drum sample libraries, mixed the first 5.1 DTS surround music CD in 1995, pioneered Pro Tools turnkey studios and built the Modern Drummer Planet with its archive-based AI.

How should AI be used in music?

AI works best when it serves an existing professional workflow, respects consent, attribution and compensation, and lets people verify and override its output.

Does David Frangioni consult on AI for record labels and catalog owners?

Yes. He advises technology companies, labels, brands and catalog owners on AI strategy, permissioned AI, attribution and archive platforms.

Related from IDA: AI Artist Development: Where AI Helps and Where It Does Not, the artist side of the same question.

David Frangioni

Related from IDA: Artist Development for Signed Artists: What Happens After the Deal, on protecting artists as their careers grow.