A billion streams returns roughly $142,800 to a sole writer; with seven writers on a song that splits seven ways. Beato's counterintuitive take is that AI tools could actually help songwriters by letting them produce demos and tracks without sharing publishing with instrumentalists who'd otherwise demand a cut. Could AI flip the publishing split balance back toward the writer, and what would that look like in practice for a working pop songwriter?
Rick Beato argues that generative AI can function as a protective "firewall" for songwriters, allowing them to reclaim publishing shares that are currently diluted by the "producer tax" Verified Answer #1, Verified Answer #2. In the modern music economy, the number of writers on a hit song has ballooned from an average of 2.4 in the year 2000 to over seven today Verified Answer #3, Verified Answer #4. This dilution occurs because human producers and track-makers now routinely demand 20% to 50% of a composition's publishing rights simply for providing the instrumental arrangement or "beat" Verified Answer #5, Verified Answer #4.
AI flips this balance by disintermediating these human instrumentalists Verified Answer #3. Because purely AI-generated content cannot be copyrighted under current U.S. law, the AI's contribution is treated as non-copyrightable "tooling" rather than a co-author Verified Answer #3. Consequently, a songwriter who uses AI to generate a high-fidelity backing track while authoring the melody and lyrics themselves can retain 100% of the underlying composition copyright Verified Answer #3, Verified Answer #5.
In practice, this shift toward "Curated Autonomy" involves specific defensive workflows for pop songwriters Verified Answer #1:
By utilizing AI as a split-free instrumentalist, the primary creator can avoid the structural squeeze that currently divides a billion-stream hit's publishing revenue among a large room of contributors Verified Answer #5, Verified Answer #4.