forbes.com
Generative AI to Cost Music Creators $23 Billion by 2028
A new study predicts that generative AI will cause music and audiovisual creators to lose \$23 billion by 2028 due to the rising market of AI-generated content, which is expected to reach \$67 billion.
- Which creator groups are most vulnerable to revenue loss from the expansion of generative AI?
- The study reveals that by 2028, generative AI music will comprise approximately 20% of traditional music streaming platforms' revenue and around 60% of music libraries' income. Translators and adaptors for dubbing and subtitling face the most significant risk, with 56% of their revenue potentially impacted.
- What is the projected financial impact of generative AI on music and audiovisual creators by 2028?
- Generative AI music and audiovisual content market will surge from \$3.2 billion to \$67 billion by 2028, causing a 24% revenue drop for music creators and a 21% decrease for audiovisual creators, resulting in a total loss of \$23 billion over five years. This is according to a new study by the International Confederation of Societies of Authors and Composers (CISAC).
- How are different countries addressing the legal and ethical challenges posed by the use of copyrighted material in AI training?
- The EU's AI Act, which mandates tech companies to obtain permission from copyright holders for AI training data, is cited as a positive step. Australia and New Zealand are also highlighted for their proactive approach to protecting creators' rights in the AI landscape. The US Copyright Office is currently reviewing regulatory options.
Cognitive Concepts
Framing Bias
The headline and opening paragraph immediately highlight the potential billions in losses for creators, setting a negative tone and framing AI as primarily a threat. The selection of quotes emphasizes the concerns of creators and industry leaders, reinforcing this negative framing.
Language Bias
Words like "unfairly" and "unethically" are used to describe the appropriation of creators' works, carrying negative connotations. The repeated emphasis on "losses" and "threat" contributes to a negative tone. More neutral language could include phrases like "significant impact," "revenue shifts," or "challenges."
Bias by Omission
The article focuses heavily on the negative impacts on music creators without exploring potential benefits of AI for music creation or alternative revenue models for artists in the age of AI. It omits discussion of how AI could assist creators in their work or open up new creative avenues.
False Dichotomy
The article presents a false dichotomy between the benefits for tech companies and the losses for creators. It doesn't explore the possibility of a collaborative or mutually beneficial model.