AI threatens creator royalties and could reshape global licensing models, making coordinated policy action essential for the music economy. The outcome will affect billions in potential revenue and the sustainability of collective‑management societies.
The centennial edition of APRA AMCOS’s annual program has turned into a strategic summit, hosting the International Confederation of Societies of Authors and Composers (CISAC) board in Sydney for the first time since 1999. Representatives from the world’s largest collective‑management organizations—ASCAP, JASRAC, PRS for Music, SOCAN and others—are convening to map the implications of generative artificial intelligence on copyright and royalty flows. By labeling AI the “most significant threat in a generation,” the forum signals that the industry expects rapid, systemic disruption rather than a peripheral challenge.
CISAC’s newly released AI study quantifies that generative‑music tools could generate up to €16 billion in annual revenue by 2028. At the same time, the analysis warns that as much as 24 % of creators’ earnings could evaporate without clear licensing regimes or enforceable royalties. Australia’s recent decision to block a Text‑and‑Data‑Mining exemption—an effort in which APRA AMCOS played a key lobbying role—illustrates how governments are beginning to push back against unchecked data scraping. The move underscores the urgency for global societies to craft interoperable frameworks that protect both the AI innovators and the human artists whose work fuels them.
Financially, APRA AMCOS reported A$787.9 million in revenue for 2024‑25, a 6.5 % increase year‑on‑year, and net distributable earnings of A$683.4 million—figures that place the organization on the cusp of a historic A$1 billion milestone. This growth, driven by streaming royalties and expanded publishing agreements, amplifies the stakes of the AI debate: even a modest erosion of royalty streams could translate into tens of millions of dollars lost across the collective‑management ecosystem. Industry leaders therefore have a strong incentive to shape policy that balances innovation with fair compensation, ensuring that the creative economy remains resilient as AI technologies mature.
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