The automation of intellectual property is no longer a futuristic fantasy. Thanks to smart contracts, blockchain enables automated and transparent management of licenses for the use of protected works and ensures the automatic distribution of royalties to creators as soon as their work is downloaded or used. While AI could represent 20% of music royalties by 2028 according to CISAC, a new technical infrastructure transforms every creation into a programmable asset rather than multiplying legal restrictions.
This revolution reverses the traditional logic of copyright. Instead of protecting works through complex procedures, it automates their monetization to create a micro-capitalism where creators become shareholders in the value generated by their contributions, even fragmentary ones. The issue goes beyond mere compensation: it is about redefining creative property in the era of generalized artificial intelligence.
Key Points
- AI could represent 20% of music royalties by 2028 according to CISAC
- If the current regulatory framework remains unchanged, 24% of creators’ revenue will be threatened by 2028, with a cumulative loss of 10 billion euros over five years
- Smart contracts allow transactions to be automatically executed between multiple members of the chain
- AI giants are developing micro-payment systems integrated into their models
- Spotify acquired Mediachain Lab in April 2017, a startup specializing in the development of tools facilitating blockchain-based copyright management
Every Creation Becomes a Programmable Asset with Automated Revenue
Blockchain enables automated and transparent management of licenses for the use of protected works by transforming each creative work into an “IP Asset” with its ownership rules and remuneration integrated into the code. Unlike current systems that require manual declarations and complex negotiations, this infrastructure automates the attribution and distribution of revenue according to actual usage.
A musician who tokenizes their composition automatically defines revenue percentages for each contributor: composer, lyricist, producer, sound engineer. When this music is used in a film, video game, or AI-generated content, smart contracts ensure the automatic distribution of royalties to creators as soon as their work is downloaded or used.
This evolution provides automation tools for traceability, securing, and distributing revenue related to musical works. For a music project, tokenization and smart contracts allow for industrializing royalty distribution while maintaining copyright protection.
The protocol goes further by enabling “creative composability.” A melody can be combined with lyrics from another author and arrangements from a third, automatically creating a new IP Asset that distributes percentages to the three original creators. This granularity was technically impossible with traditional collective management systems.
Sony Music, Universal, and Warner are already testing integrations with these protocols to track the use of their catalogs in AI models. The objective: to move from a fixed licensing logic to a system of micro-revenues based on actual usage.
AI Giants Are Developing Micro-Payment Infrastructure
Generative AI companies are developing systems to integrate micro-payments directly into their models, allowing them to automatically compensate creators when their works inspire algorithmic responses. This technical approach bypasses ongoing legal battles between creators and AI companies by creating an automated compensation mechanism.
These systems experiment with an architecture where each content generation triggers micro-transactions to rights holders identified by the algorithm. The average cost per request increases by a few cents, but this infrastructure enables the monetization of creative usage at an industrial scale impossible with traditional mechanisms.
Platforms are developing adapted versions for their AI creation tools. When a user generates a video inspired by the style of a specific creator, the system automatically distributes a fraction of advertising revenue to the original creator’s digital wallet. These payments, even if just a few cents, accumulate over millions of uses.
This technical approach partially solves the scale problem that paralyzes traditional negotiations. Instead of negotiating global agreements with thousands of creators, AI companies can automate compensation through standardized protocols.
Resistance paradoxically comes from current intermediaries. Collective management societies in 111 countries see their business models questioned, their management services becoming less necessary in an automated system where smart contracts can trigger payments at the moment of resale or distribution.
Fragmented Tokenization Redistributes Creative Ownership
The major innovation lies in the concept of fractional IP where a single work can belong to hundreds of micro-owners. A three-second music sample can be jointly owned by its original creator (60%), a producer who remixed it (25%), a label that promoted it (10%), and a community of fans who funded its creation (5%).
This fragmentation enables new economic models. Creators can sell fractions of their future revenue to fund their projects, creating a secondary market for creative rights. Platforms like Royal and Async Art are already testing these mechanics with promising results: some artists raise the equivalent of six months of revenue by pre-selling 30% of their future rights.
The system also solves the problem of derivative works that often paralyze creative innovation. Artists and creators can use blockchain to manage their copyrights automatically, in particular by determining the conditions of use and sharing of their works. Creating a derivative work automatically triggers payments to original creators according to pre-established rules, eliminating the complex negotiations that discourage collaborative creativity.
This approach indirectly addresses issues raised in debates on digital property by creating programmable rights rather than suffering the gradual erosion of traditional property in the face of automation.
Technical Infrastructure Remains Fragile in the Face of Massive Adoption
Current protocols process between 50,000 and 100,000 transactions per second, sufficient for individual creators but insufficient for integration with platforms like TikTok or Instagram that generate billions of creative interactions daily. Teams are developing scaling solutions in partnership with Ethereum and Polygon.
The question of private key ownership poses major practical challenges. Most creators do not master crypto wallets, creating a new form of dependence on custody services that reproduce the intermediaries that blockchain was supposed to eliminate.
Transaction costs remain prohibitive for micro-payments under one cent. Even with optimized blockchains, each revenue distribution costs between 0.01 and 0.05 dollars, making it economically absurd to compensate for micro-uses below this threshold.
Blockchain ensures proof of anteriority and immutability of fingerprints, but it eliminates no rule of the Intellectual Property Code. The challenge remains to articulate automation and legal compliance, particularly when technical decisions can directly impact the revenue of millions of creators.
This technical complexity explains why AI continues to widen the gap between creators equipped with technical skills and those who suffer from digital transformation without being able to adapt to new automated remuneration protocols.
States Explore Legal Recognition of Automated Contracts
Since the creation of BlockchainyourIP in 2017, the legal recognition of Blockchain, whether legislative or case law, has evolved considerably. Delaware has been testing since January 2025 legislation recognizing intellectual property smart contracts as equivalent to traditional contracts. This experiment could create a precedent for the legal adoption of decentralized copyright protocols.
The European Union is studying the integration of these protocols into its Digital Services Directive, allowing European creators to assert their rights automatically on all platforms operating in the EU. This regulatory approach could force American giants to adopt micro-payments.
China is developing its own state protocol for digital copyright, integrated directly into its digital yuan. This infrastructure will enable the automatic tracking and monetization of any use of Chinese works, creating a competitive advantage for its creators on international platforms.
For blockchain to be effective, it must be compatible with other systems and technologies related to intellectual property. This implies cooperation between industry players, as well as work on standardization and normalization. Who arbitrates in case of conflict between a smart contract and a national court? This unresolved legal question slows institutional adoption.
The Transformation of Creative Revenue Reshuffles Economic Cards
AI-generated content in the music field will represent a cumulative value of 40 billion euros over the next five years, reaching an annual value of approximately 16 billion euros by 2028. Preliminary data from automation protocols show contradictory results on the democratization of creative revenue.
While 67% of creators using these protocols see their revenue increase thanks to automated micro-payments, the top 10% of creators capture 78% of newly generated revenue. This concentration reproduces existing inequalities while creating new levers for accumulation.
Creators capable of investing in promoting their IP tokens and building communities of micro-investors benefit from a systemic advantage over those who merely create. Automation paradoxically becomes a factor of economic differentiation.
For the first time, digital copyright collections exceeded 5 billion euros, showing growth of 10.8%. Payment automation nonetheless eliminates the delays of several months that characterize current systems. Creators receive their revenue in real time, improving their cash flow and financial autonomy.
The emergence of these protocols redefines the relationship between creators and artificial intelligence. Generative AI companies garner significant revenue by profiting—without the consent or compensation of those who created them—from content protected by copyright. Rather than suffering from automation that dispossesses them, creators become shareholders in a system that compensates them proportionally to their contribution. This technical evolution could transform AI from a threat into an economic opportunity for creative industries.
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