Investigan 21 millones de canciones usadas para entrenar IA sin autorización de artistas

Shift from creative industries (artists, labels, publishers) toward tech companies controlling AI development. Developing nations' artists disproportionately affected. Regulatory fragmentation emerging as EU, US, and others pursue different IP enforcement approaches.

Similar to early internet copyright battles (Napster era, 2000s) where tech innovation outpaced legal frameworks, creating prolonged litigation and eventual regulatory intervention.

Consumers may face higher music prices if licensing costs increase, reduced artist diversity as independent musicians lose revenue, and potential quality degradation if AI-generated music replaces human composition. Music streaming services may implement stricter licensing requirements.

Governments likely to strengthen copyright enforcement and clarify 'fair use' doctrine boundaries for AI training. Potential regulatory frameworks requiring explicit consent and compensation for training data. Possible legislation similar to EU's AI Act provisions on copyright protection.