Recording Academy CEO Harvey Mason jr. says music with AI-created elements is eligible for a Grammy, but the AI portion will not be considered for the award
Last month, the Recording Academy announced a series of changes to the Grammy Awards to better reflect an evolving music industry.
Context & Ripple Effects
The Recording Academy's ruling answers a question the industry has carried since AI-produced music first raised authorship and copyright questions in 2019: can machine-made work compete for music's top honors? Harvey Mason jr.'s answer is a split decision — songs with AI elements stay eligible, but only the human contribution is judged.
The Grammy rule lands in a crowded field of governance moves: AMPAS has already barred AI from acting and writing categories for the Oscars, Tidal blocks wholly AI-generated tracks from royalties under its streaming AI policy, and the RIAA-led coalition is pushing two-tier AI tagging to separate fully generated from AI-assisted songs. The Academy is staking out the middle ground the tags would formalize.
First-order effects
- Artists using AI tools can now submit Grammy-eligible work, but voters must assess only the human-written or human-performed portions — a judgment call that puts new burden on the Academy's screening process.
- Fully AI-generated tracks remain locked out, aligning the Grammys with Tidal's royalty ban on wholly generated music while staying more permissive than the Oscars' human-only acting and writing rules.
Second-order effects
- The RIAA coalition's proposed AI-assisted versus AI-generated tags become the practical infrastructure for enforcing this rule — labels and distributors who can document provenance gain an advantage in eligibility disputes.
- Competing award bodies and platforms now face pressure to clarify their own lines, since a song could be Grammy-eligible in part, royalty-eligible on Tidal, and Oscar-ineligible in a screen adaptation.
Third-order effects
- If the pattern holds, the industry converges on human-authorship thresholds rather than outright AI bans — with eligibility, royalties, and credit all keyed to how much of a work a human actually made.
- Provenance documentation shifts from legal nicety to commercial requirement: whoever controls the tagging and verification layer (the RIAA coalition, distributors, platforms) gains gatekeeping power over what counts as human creative work.
The trend: Music, film, and streaming institutions are replacing blanket AI bans with human-contribution tests, making provenance measurement the industry's new gatekeeping layer.