The Licensing Maze
Every business that plays music in a commercial space enters a complex web of rights and obligations. Understanding this web is essential to appreciating why AI-generated music represents such a fundamental shift.
In Italy, the system works as follows:
SIAE (Società Italiana degli Autori ed Editori) collects royalties on behalf of composers and publishers. The 2026 tariffs for background music in commercial spaces range from €35.05 to €542.90 per device per year, depending on the type of device and the size of the premises [1].
But SIAE is only part of the picture. Diritti connessi (neighboring rights) are separate fees owed to performers and record labels. These are collected through different channels and can add 50-70% to the base SIAE cost [1].
Then there's the background music service itself — companies like Mood Media, Soundtrack Your Brand, or Rockbot — which charge €30-100+ per month per location for curated playlists [2].
The True Cost for a Multi-Location Business
Let's calculate the real cost for a retail chain with 100 locations, each averaging 200 square meters:
| Cost Component | Annual Cost |
|---|---|
| SIAE license (€148/location/year) | €14,800 |
| Diritti connessi (~60% of SIAE) | ~€8,880 |
| Background music service (€75/mo/location) | €90,000 |
| Administrative overhead (compliance, renewals) | ~€5,000 |
| Total annual cost | ~€118,680 |
And this buys you... generic playlists that sound like every other store. No brand differentiation. No sonic identity. No competitive advantage.
What Changes With AI-Generated Music
Music generated entirely by artificial intelligence — where no human composer, performer, or existing recording is involved — exists outside the traditional copyright framework.
This means:
No SIAE fees. The music has no human author registered with a collecting society.
No diritti connessi. There are no performers or record labels to compensate.
No licensing complexity. The business that commissions the AI-generated music owns it outright.
No compliance risk. There's no possibility of inadvertent copyright infringement.
The Fairly Trained certification initiative, launched in 2024, provides an additional layer of assurance by certifying that AI music models are trained exclusively on licensed or public domain data — addressing the ethical concerns around AI training data [3].
The Quality Question
The legitimate concern with AI-generated music has always been quality. Early AI music tools produced output that was recognizably artificial — useful perhaps for elevator music, but not for brand-building.
This has changed dramatically. Current generative AI music models can produce compositions that are:
- Stylistically diverse — from ambient to jazz to electronic to classical
- Emotionally nuanced — capable of conveying specific moods and energy levels
- Infinitely variable — generating non-repeating streams that evolve continuously
- Brand-specific — trained or prompted to match a defined sonic identity
The gap between AI-generated and human-composed commercial background music has narrowed to the point where, in blind listening tests, most listeners cannot reliably distinguish between them [4].
The Strategic Opportunity
For brands, the shift to AI-generated music isn't just about cost savings — though those are significant. It's about gaining capabilities that were previously impossible or prohibitively expensive:
Sonic identity at scale. A unique sound that plays across every location, every hour, every day — without repetition and without the cost of commissioning thousands of original tracks.
Dynamic programming. Music that automatically adapts to time of day, season, foot traffic, or even weather — creating an atmosphere that's always contextually appropriate.
Brand ownership. Complete ownership of the music means it can be used across all touchpoints — in-store, on hold, in advertising, on social media — without additional licensing.
Measurable impact. When you control the music, you can A/B test it. You can measure the correlation between specific sonic profiles and business outcomes.
The Transition Is Already Happening
Major brands are already exploring AI-generated music for their commercial spaces. The question isn't whether this transition will happen — it's whether your brand will be an early mover or a late follower.
The businesses that move first will define their sonic identity while the space is still uncrowded. Those that wait will find themselves competing not just on product and service, but on sound — with less room to differentiate.
Sources
[1] SIAE, "Tariffe Musica d'Ambiente — Negozi, Attività Commerciali e Grande Distribuzione" (2026). Official tariff document.
[2] Mood Media, Rockbot, Soundtrack Your Brand — publicly listed pricing for commercial background music services (2024-2025).
[3] Fairly Trained, "Certification Program for Ethical AI Music Generation" (2024). https://www.fairlytrained.org
[4] WithFeeling, "The ROI of Sonic Branding" (2024-2025). Research on audio branding effectiveness and AI music quality benchmarks.