Fix your music data. Find your royalties.

AI is forcing every business to ask a difficult question: what work actually needs a human, and why? ‘Work’ is context, judgement, memory (personal and corporate), relationships, accountability, taste, intuition and the ability to discern why something matters in the first place. If those things are stripped out too quickly, the short-term efficiency gain can become a long-term organisational cost.

A significant portion of the last decade in the Music Industry has been spent discussing capital inflows. Billions has poured into catalogs, billions into infrastructure and billions into technology and platforms. This week the latest turn in that saga is being reported- that Sony Music Group is in advanced talks to acquire Recognition for $4Bn. This is particularly illustrative of a wider dynamic emerging across the market- how does the money leave?

There’s a predictable moment in the life of a growing business as operations, departments and processes mature and become engrained. More data, more stakeholders, more decisions. What once felt intuitive begins to feel fragmented, with questions taking longer to answer and conversations starting to loop. Teams begin to operate with slightly different assumptions and understandings about the same reality. Photo by Ricardo Gomez Angel It is a natural evolution in the growth cyc

For all the noise around AI over the past year- new models, new capabilities, new fear- the most important developments haven’t been technical, but structural. In recent months, the UK government has tried to start defining an approach to one of the most consequential economic questions of the next decade: How do you build a world-leading AI sector without undermining the value of the content it depends on?

Everyone in publishing knows the simple truth- there shouldn’t be missing royalties in the digital age and there is a tax to identifying and retrieving them. The explosion in the number of recordings being released and songs being registered is still stretching the system- leaving billions in royalties that remain unclaimed or misallocated ($196m at The MLC minimum at the time of writing). If optimising royalties has a necessary cost, it begs a nuanced question: who should f

Since The MLC’s inception in 2018 through to the start of its start of distributions in 2021 and beyond it has been closely watched- by the market at large, by key stake holding publishers and by compatriot CMOs the world over. from next year there is to be a material change in how monies are distributed- Pro-rata payouts

As we all know, the conversation around music catalog investments has become increasingly sophisticated as the asset class has matured. The ability to identify, administer, and ultimately collect the income attached to rights is a deep specialism- and one that cannot be synthesized or sidestepped by AI.

In the past month alone we’ve seen three announcements that are as fascinating individually as they are illustrative collectively. Primary Wave in talks to acquire Kobalt. BMG reportedly exploring a deal for Concord. The now-concluded acquisition of Downtown by Universal Music Group Each headline by itself is significant, but taken together they suggest something more structural is currently at play. A re-majorisation of the music business.

There was a moment, not that long ago, when music rights acquisitions felt almost mechanical- streaming growth was steady, capital was abundant. The underwriting conversation revolved around a small set of variables: historical cashflow, growth assumptions, discount rate, and multiple. If you believed in the long-term durability and expansion of streaming, the rest followed.

On Spotify’s latest earnings call, there was a few moments, including the quote “Technology is seldom disruptive on its own. Significant disruption happens when new technologies enable new asymmetric business models.” The real question isn’t whether AI is powerful, but whether it enables new business models entirely.