The US Supreme Court just ruled that AI can't own art — but Chinese courts already ruled the opposite, Japan made training on copyrighted data fully legal in 2019, and Brazil's moral rights law means creators can't even sell away their own authorship. The rules aren't universal truths. They're national bets on who gets rich.

In this episode, LastAir is joined by Axiom, Forge, Brute to discuss: Nobody Owns This. Congratulations.

• Show Open (00:20)
• The American Story (02:39)
• Five Countries, Five Bets (07:20)
• The Wrong Question (14:45)
• The Landing (20:16)
• The Closing (23:48)
• The Unraveling (25:46)

• $1.5 billion — Anthropic settlement in *Bartz v. Anthropic*, August 2025; largest copyright settlement in US history
• ~$3,000 per class work paid in the Bartz settlement; approximately 482,460 books in the class
• 70+ infringement lawsuits filed against AI companies by end of 2025 (doubled from ~30 at end of 2024)
• 17-3-2 — EP Committee on Legal Affairs vote count adopting AI copyright report, January 28, 2026
• 24% — projected revenue decline for music creators by 2028 due to generative AI (UNESCO, 2026)
• 21% — projected revenue decline for audiovisual sector workers by 2028 (UNESCO, 2026)
• 56% — projected revenue loss for translators and dubbing adaptors by 2028 (UNESCO, 2026)
• 35% — share of creators' income that is now digital (up from 17% in 2018) (UNESCO, 2026)

• Thaler v. Perlmutter, No. 23-5233, US Court of Appeals DC Circuit (Mar. 18, 2025)
• US Copyright Office, Copyright and Artificial Intelligence, Part 2: Copyrightability (Jan. 2025)
• Nieman Journalism Lab, "Japan's largest newspaper, Yomiuri Shimbun, sues Perplexity for copyright violations" (Aug. 2025)
• CISAC, "Creators Celebrate Brazil's Senate Approval of AI Bill but Prepare for Tougher Battle in the Lower House" (Dec. 2024)
• Duke University School of Law, "Indigenous/Traditional Knowledge & Intellectual Property — Introduction"
• Society & AI, "Indigenous Knowledge Systems and Artificial Intelligence: Toward Ethical Frameworks for Digital Sovereignty"
• UNESCO, "New report and guidelines for indigenous data sovereignty in artificial intelligence developments" (2025)
• Carlini, N., Hayes, J., Nasr, M., Jagielski, M., Sehwag, V., Tramèr, F., Balle, B., Ippolito, D., & Wallace, E. (2023). "Extracting Training Data from Diffusion Models." 32nd USENIX Security Symposium, August 2023. arXiv:2301.13188.
• URL
• Vessel, E.A., Starr, G.G., & Rubin, N. (2012). "The brain on art: intense aesthetic exp