# The Ghost of Napster *AI, Copyright, and What Comes Next?* By [Nye's Digital Lab](https://paragraph.com/@nyewarburton.eth), 2025-11-02 ip, ai, creativity, blockchain, copyright, napster --- * * * **Nye's Digital Lab** is a weekly scribble on _creativity_ at the intersection of **AI** & **Distributed Networks.** [Subscribe](https://paragraph.com/@nyewarburton.eth/subscribe) This week I am endeavoring to _untangle the crisis of AI copyright,_ and compare it to what happened to the music industry when peer to peer sharing suddenly arrived. * * * ![](https://paragraph.com/editor/callout/tip-icon.png) _“Napster hijacked our music without asking._ _They never sought our permission. Our catalog of music simply became available as free downloads on the Napster system.”_ _\- Lars Ulrich, Metallica_ Shawn Fanning, an 18-year-old freshman at Northeastern University, listened to his roommate complain about dead links to MP3 files online. So Fanning codes a solution, naming it after his high school nickname: **_"Napster."_** > Within 18 months, 26 million people are using it to share 80 million songs, and the entire music industry is in **meltdown**. _Napster,_ a peer-to-peer sharing network, bypassed the traditional distribution model and caused sales in music publishing to plummet from a peak of **$13 billion to $2 billion over a decade**. The industry successfully sued and shut down _Napster,_ but like _“whack-a-mole,”_ users simply migrated to decentralized alternatives like _LimeWire_ and _BitTorrent._ The entire business had to abandon its physical product (CDs) and pivot to new, less profitable models like digital downloads and streaming in a desperate, decade-long struggle for survival. ![](https://storage.googleapis.com/papyrus_images/a415210b6063642b79e512c9ae557081df876147894ae6107059257a474a9bd8.png) _US Recorded Music Revenue, researched and visualized by Manus.im_ Today there are still superstars like Taylor Swift and the global dominance of _K-pop Demon Hunters_, and on the other side, a massive democratization of tools and music artists. **But there is no more middle class of professional musicians.** The middle of the music industry has completely been wiped out by instant distribution. > The story of _Napster_ is a prophecy. You're studying art, design, writing, or music in an era where AI can generate images in seconds, write essays in minutes, and compose symphonies without breaking a sweat. If you think what happened to the music industry was disruptive, we're watching something far more insanely radical unfold. But unlike _Napster,_ we have the opportunity to build something better from the start. But we better move. And I mean, **now.** * * * ![](https://storage.googleapis.com/papyrus_images/4c2da7f7f8654730602bd3b970f597e920e9be4b91a9d907fefb229e5bd11f91.jpg) _Technology Disruption, Stable Diffusion_ Speed and Scale --------------- When _Napster_ launched, it took two full years to reach its peak of 26 million users. The music industry had time to respond (_badly, I might add_ ). They sued _Napster_ in December 1999, got an injunction by 2001, and watched CD sales decline gradually from $13 billion to $2 billion over a decade. Painful? Yes. But survivable. **AI's trajectory is insane.** _ChatGPT_ hit 100 million users in just two months. Despite backlash, it is the fastest-growing consumer application in history. _Midjourney_ went from producing weird, distorted faces and multi-finger photos to near-realistic art in less than a year. _Sora 2_ can now generate Hollywood-quality video from text prompts. If you are one of the angry commenters I see calling out generative errors, wait six months, and the advances will **easily correct them.** The acceleration is nauseating. The music industry had a decade to figure out streaming. Visual artists have _(maybe?)_ two years before **AI reaches parity with human output.** A recent Stanford study found that when AI art enters an online marketplace, human artists' earnings drop immediately. Not gradually, not over months, or even days. > **Immediately**. [ When AI-Generated Art Enters the Market, Consumers Win - and Artists Lose ------------------------------------------------------------------------- In 2024, the New York Times sued OpenAI for copyright infringement, claiming the company had used the newspaper's content to train its algorithms without permission or payment. The case, one of several AI-related copyright suits, is another sign of fast-changing times. https://www.gsb.stanford.edu ![](https://storage.googleapis.com/papyrus_images/063028b92804a2218c0d6828118cf8fc84dfea021e1d2ca2258e48352355a775.webp) ](https://www.gsb.stanford.edu/insights/when-ai-generated-art-enters-market-consumers-win-artists-lose) Entry-level graphic design positions have **dropped 28% in just two years.** The International Confederation of Societies of Authors and Composers projects **creators will lose $22 billion by 2028.** Meanwhile, AI companies are generating $9 billion annually from creative content. The money isn't disappearing, folks. It’s being redirected from **creators** to **tech.** This is alarming. But if we act, it's not inevitable. * * * ![](https://storage.googleapis.com/papyrus_images/7af91a4cf12f30187a1e0700415f25879eef34e9ca21e70f71a6549af9dd91ea.jpg) _Blinded by Networks, Stable Diffusion_ Legal Failure ------------- The music industry thought they could sue their way out of disruption. They won their case against _Napster_, shutting it down in 2001. Victory, right? Sorry. Users just moved to _Kazaa, LimeWire,_ and _BitTorrent,_ and an endless stream of decentralized networks that couldn't be shut down. The RIAA ended up suing 12-year-old girls and grandmothers looking for rare Frank Sinatra cuts, destroying their public image while accomplishing nothing. Today's legal battles are equally futile but far more confusing. _(For this essay, I had agents crawl through over 10,000 AI copyright infringement lawsuits._ **_It's a mess._**_)_ [ Every AI Copyright Lawsuit in the US, Visualized ------------------------------------------------ WIRED is following every copyright battle involving the AI industry-and we've created some handy visualizations that will be updated as the cases progress. https://www.wired.com ![](https://storage.googleapis.com/papyrus_images/9a95ff21d157c11bbf660199494ce5e115986473d54b0abebca661737a7336de.jpg) ](https://www.wired.com/story/ai-copyright-case-tracker/) In June 2025, two federal judges issued completely opposite rulings just two days apart. Judge William Alsup said training AI on copyrighted books was _"quintessentially transformative"_ and legal. Judge Vince Chhabria warned the same practice could destroy creative markets. The U.S. Copyright Office insists AI-generated works can't be copyrighted without _"substantial human authorship,"_ but they admit they can't actually **tell the difference between human and AI creation.** If you're a visual artist, companies like _Stability AI_ and _Midjourney_ have already trained on billions of images, **including probably anything you've posted online.** The same _Stability_ that just partnered with gaming giant _Electronic Arts._ The Copyright Office's latest report basically throws up its hands, saying current law is "adequate" while **admitting they have no way to enforce it.** For art students, this means the legal system won't save you today. Copyright law was designed for a world where copying was hard and creation was human. Neither assumption holds anymore. Litigation won't reverse this. We must invent **an alternative path.** ![](https://paragraph.com/editor/callout/tip-icon.png) _"A culture without property, or in which creators can't get paid, is anarchy, not freedom."_ - Lawrence Lessig * * * ![](https://storage.googleapis.com/papyrus_images/8150407b3947dbd8b261a7f8438de12d3c0e82ac954bd7147580207b7cb92814.jpg) _Free for the Taking, Stable Diffusion_ Open-Source ----------- While Silicon Valley corporations scramble to monetize proprietary AI models, something quieter and more powerful is building: > **the open-source revolution.** _Meta_ released Llama as open-source. _Stability AI_ made their model weights publicly available. These moves weren't charity. These moves were strategic and they opened the door to something the corporate model can't control: **_collective ownership_** _of AI development._ China's strategy is also pretty interesting here. Rather than betting everything on proprietary platforms, they're prioritizing open-weight models and distributed systems. Again, this isn't that the Chinese want to be nice and share. It’s a recognition that the future belongs to whoever controls the **infrastructure**, not the software on top. Open-weight means the AI industry can't be bottle-necked by three tech companies in California. > For creators, this is really, really, **important**. Communities are already building provenance systems, (cough, cough) blockchain tracking that records where training data comes from, who created it, and who benefits from its use. _(Oh jeez, not the blockchain again, Nye.)_ Distributed ledgers get dismissed because of their association with cryptocurrency, but the underlying technology, the immutable records of authorship and attribution, **is exactly what creators need.** Imagine an open AI model trained on a collective data commons, where artists, writers, and musicians _retain verifiable ownership of their work._ In theory, an AI generates something, the system records which training samples contributed to that output. **Revenue flows back to creators automatically.** _Hugging Face,_ which is a bit like an AI _GitHub_ already has millions of active users. _Filecoin_ is reaching maturity on the _Ethereum_ main net. These are the exactly the kinds of initiatives building this collective infrastructure. The protocols do exist. What's missing is adoption. Adoption will likely come through **crisis** and **fear.** The music industry centralized around three major labels. The tech industry is centralizing around three major AI companies. But open-source and distributed systems offer another path: _creators collectively owning their own work with a chance to define their own terms._ * * * ![](https://paragraph.com/editor/callout/tip-icon.png) Blockchain startup, _Story,_ is one of several initiatives in the complicated IP tokenization space. [ Story ----- Story is AI-native infrastructure for the intellectual property economy. https://www.story.foundation ![](https://storage.googleapis.com/papyrus_images/e44ef704683e1c3910f6c7e54ff4e3f0d5b9a9a2f0375b160cf9c2b09094e21c.png) ](https://www.story.foundation/) * * * ![](https://storage.googleapis.com/papyrus_images/eb971dad1628e82a9191684c2aef187058367e982b20ba2790265a5eef38f312.jpg) _Into Uncertainty, Stable Diffusion_ What Comes Next? ---------------- I like to think I’m up on these things, but understand **this is a guess.** Based on current trends and emerging alternatives, here's what the next 24 months may likely hold: **By end of 2025:** > Corporate platforms will continue tightening IP tracking through **metadata and tokenization**, trying to extract value from creators through _licensing fees._ Simultaneously, open-source communities will release increasingly sophisticated models that _anyone can fine-tune locally._ Entry-level creative positions will probably drop another 20%, but a parallel economy of independent creators using open tools will grow **exponentially.** **By mid-2026:** > The Andersen v. Stability AI trial will set a legal precedent, probably allowing AI training but requiring compensation through collective licensing. ( Think of it like ASCAP for visual art. ) At the same time, the first truly decentralized AI models trained on community-owned data **will definitely emerge.** Most likely from decentralized infrastructure development in Asia or India. Artists will have a choice: license to corporations with poor token compensation, or participate in unproven collective sovereign systems where they _may_ retain ownership. **Likely outcome:** > **Both.** Corporate AI will dominate consumer platforms, paying creators fractional fees like _Spotify's_ model. But I hope that a parallel infrastructure of open-source models, community data commons, distributed provenance systems will allow creators to **build independent economies.** It won't be easy or profitable for everyone, but it will be _possible_. > > And that, gives me hope. The critical difference from _Napster:_ this time, creators have the opportunity to build the alternative rather than just watch the old model collapse. * * * ![](https://paragraph.com/editor/callout/tip-icon.png) Collective compute AI company, _Prime Intellect_, is trailblazing in this area. [ INTELLECT-1: Launching the First Decentralized Training of a 10B Parameter Model -------------------------------------------------------------------------------- We're excited to launch INTELLECT-1, the first decentralized training run of a 10-billion-parameter model, inviting anyone to contribute compute and participate. This brings us one step closer towards open source AGI. https://www.primeintellect.ai ![](https://storage.googleapis.com/papyrus_images/6894a6e9a78badbdeb05298649e45893e890f4f76fc72cf44c3ffc151cb5e2f0.png) ](https://www.primeintellect.ai/blog/intellect-1) * * * ![](https://storage.googleapis.com/papyrus_images/2e8c5dc94e39cd9f849db779d00f43a25348c9b3980a0e4d19f3124377503f44.jpg) _Power up and Connect, Stable Diffusion_ What You Can Do --------------- You're entering a field being revolutionized beneath your feet. **Crazy right?** You can't stop this transformation any more than musicians could stop file-sharing. But I believe you can shape it. > Hiding won’t help. Learn to use AI tools while developing uniquely human skills like conceptual thinking, emotional resonance, cultural conversations, personal narrative. > Engage with the conversation. But also: **learn how open-source works**! Understand distributed systems and how provenance tracking might function. Participate in communities building alternatives. [Innovations like Glaze are working to digitally protect artist works.](https://glaze.cs.uchicago.edu/) Contribute your work to collective data commons. Follow the software tooling industry as it learns to track metadata and experiment with _digital copyright._ > Support platforms experimenting with **creator-owned** and **open source** AI infrastructure. Most importantly, **organize with other artists now.** There are guilds and subreddits arguing about this topic right now! The music industry fought alone and lost. This time, creators have the tools to build something collectively owned. **Do it!** _Napster's_ ghost says fighting the future is futile, but surrendering to it is **equally dumb.** Creators aren't powerless. The technology for collective ownership exists. The question isn't whether AI will transform creative work, but whether you'll help build the infrastructure where that transformation benefits you rather than extracting value from you. It looks bleak, but the outcome isn't predetermined. I’m determined to fight. Whether it’s centralized IP or collective distributed networks, well... **that’s up to all of us.** * * * That's it for this time. _I do this every week._ If you vibe to the ideas I express, consider **subscribing** or **sharing** with friends. We'll see you next time. [Subscribe](https://paragraph.com/@nyewarburton.eth/subscribe) * * * **Nye Warburton** is a creative technologist and educator from Savannah, Georgia who believes that humans should control their creative future. This essay was _improvised_ using **Otter.ai,** _researched_ with **Manus.im,** and _refined, reworked, and edited_ using **Claude Sonnet 4.0.** For more information visit: [https://nyewarburton.com](https://nyewarburton.com) * * * ### References and Further Reading To understand **intellectual property** and it's intersection with technology I recommend reading [Lawrence Lessig's](https://en.wikipedia.org/wiki/Lawrence_Lessig) work. He has many books on the topic, but my favorite is his 2001 "The Future of Ideas." His focus on legally empowering creative ideas is a strong guide for complicated times like ours. [ The Future of Ideas: The Fate of the Commons in a Connected World ----------------------------------------------------------------- The Internet revolution has come. Some say it has gone. In , Lawrence Lessig explains how the revolution has produced a counterrevolution of potentially devastating power and effect. Creativity once flourished because the Net protected a commons on which widest range of innovators could experime... https://www.amazon.com ![](https://storage.googleapis.com/papyrus_images/c027cbb83de8726b8c51ce36dba0b2bab8dd665454424f83882efc822b0d668f.jpg) ](https://www.amazon.com/Future-Ideas-Commons-Connected-World/dp/0375726446) This essay was researched and informed from the following sources: 1. **Recording Industry Association of America (RIAA).** (2020). _YEAR-END 2019 RIAA MUSIC REVENUES REPORT_. Retrieved from [https://www.riaa.com/wp-content/uploads/2020/02/RIAA-2019-Year-End-Music-Industry-Revenue-Report.pdf](https://www.riaa.com/wp-content/uploads/2020/02/RIAA-2019-Year-End-Music-Industry-Revenue-Report.pdf) 2. **comScore.** (2001, July 20 ). _Napster user statistics_. As cited in various historical online reports. (Original comScore report no longer publicly available). 3. **APRA AMCOS & Goldmedia.** (2024, August 19). _Largest report on AI in music reveals potentially devastating impact for music creators_. Retrieved from [https://www.apraamcos.com.au/about-us/news-and-events/ai-in-music-report](https://www.apraamcos.com.au/about-us/news-and-events/ai-in-music-report) * _(primary source for the 65% and 82% musician concern figures. )_ 4. **U.S. Copyright Office.** (2024). _Copyright and Artificial Intelligence_. Retrieved from [https://www.copyright.gov/ai/](https://www.copyright.gov/ai/) 5. **Wired.** (2024, December 19 ). _Every AI Copyright Lawsuit in the US, Visualized_. Retrieved from [https://www.wired.com/story/ai-copyright-case-tracker/](https://www.wired.com/story/ai-copyright-case-tracker/) 6. **Visual Capitalist.** (2023, October 20 ). _Charted: 50 Years of Music Industry Revenues, by Format_. Retrieved from [https://www.visualcapitalist.com/music-industry-revenues-by-format/](https://www.visualcapitalist.com/music-industry-revenues-by-format/) 7. **Copyright Alliance.** (2025, August 21 ). _Mid-Year Review: AI Copyright Case Developments in 2025_. Retrieved from [https://copyrightalliance.org/ai-copyright-case-developments-2025/](https://copyrightalliance.org/ai-copyright-case-developments-2025/) 8. **Herington, J., et al.** (2025 ). _Musicians’ ethical concerns about AI: an interview study_. AI & SOCIETY, Springer. 9. **The Guardian.** (2019, May 31). _Oversharing: how Napster nearly killed the music industry_. Retrieved from [https://www.theguardian.com/music/2019/may/31/napster-twenty-years-music-revolution](https://www.theguardian.com/music/2019/may/31/napster-twenty-years-music-revolution) 10. **Statista.** (2025, March ). _Retail value of music shipments in the United States from 1999 to 2024 (in billion U.S. dollars)_. Retrieved from [https://www.statista.com/statistics/279081/retail-value-of-music-shipments-in-the-us/](https://www.statista.com/statistics/279081/retail-value-of-music-shipments-in-the-us/) * * * ### More Essays from the Digital Lab * [The Boss Fight Pedagogy,](https://paragraph.com/@nyewarburton.eth/the-boss-fight-pedagogy) October 4, 2025 * [Networks of Trust,](https://paragraph.com/@nyewarburton.eth/networks-of-trust) September 21, 2025 * [The Biff Problem,](https://paragraph.com/@nyewarburton.eth/the-biff-problem) August 24, 2025 [Subscribe](https://paragraph.com/@nyewarburton.eth/subscribe) * * * --- *Originally published on [Nye's Digital Lab](https://paragraph.com/@nyewarburton.eth/the-ghost-of-napster)*