PPC LandCNN sues Perplexity for copying 17,000 works in landmark AI copyright case: CNN filed a copyright and trademark lawsuit against Perplexity AI on May 28, alleging the AI search engine copied over 17,000 CNN stories, videos, and images. https://ppc.land/cnn-sues-perplexity-for-copying-17-000-works-in-landmark-ai-copyright-case/ #CopyrightLaw #AI #CNN #PerplexityAI #Lawsuit
WPS NewsAI Music Lawsuits Are Real. The Panic About “Losing Your Songs” Is Not.
By Cliff Potts, CSO, and Editor-in-Chief of WPS News
Baybay City, Leyte, Philippines — May 27, 2026
There are active lawsuits involving artificial intelligence and music creation. That part is true. What is not true is the growing online claim that ordinary people using AI tools are about to “lose all rights” to their songs or have their music confiscated by courts or corporations.
That interpretation dramatically oversimplifies what the current legal fights are actually about.
The lawsuits currently moving through U.S. courts are primarily aimed at AI companies themselves, not individual creators. Major music publishers and record labels have accused several AI firms of training their systems on copyrighted material without authorization. The central legal question is whether the use of copyrighted songs, recordings, or lyrics during AI training qualifies as “fair use” under copyright law.
In other words, the courts are largely examining how the machines were trained, not whether a person using AI assistance can make music.
That distinction matters.
The Core Legal Dispute
Most current AI music lawsuits focus on three major questions:
1. Training Data
Did AI companies train their systems on copyrighted music catalogs without permission?
This is the largest and most aggressive area of litigation at the moment.
2. Derivative Outputs
Are AI-generated songs reproducing copyrighted material too closely?
Courts may eventually draw boundaries regarding how similar an output can be before it becomes infringement.
3. Copyright Eligibility
Can AI-assisted works receive copyright protection, and if so, under what conditions?
This third issue is where much of the public confusion originates.
Human Involvement Still Matters
Current U.S. copyright guidance generally indicates that purely machine-generated material may not qualify for full copyright protection if there is insufficient human creative involvement.
However, that does not mean all AI-assisted music automatically loses protection.
Human direction remains extremely important.
If a person:
- writes or revises lyrics,
- structures songs,
- selects arrangements,
- edits outputs,
- curates performances,
- guides musical style,
- sequences albums,
- or meaningfully shapes the final work,
then the argument for human authorship becomes substantially stronger.
That is very different from simply typing a one-sentence prompt and uploading the first automated result.
The practical reality is that many musicians using AI tools today function more like producers, arrangers, editors, directors, or collaborators using software assistance. Courts and regulators are still working through where those boundaries should be drawn.
The Industry Is Already Moving Toward Licensing
Despite public rhetoric, the music industry itself appears to be shifting toward a licensing and monetization model rather than attempting to eliminate AI entirely.
That transition follows a familiar historical pattern:
- first panic,
- then lawsuits,
- then licensing,
- then commercialization.
The same industry that fought digital music distribution in the Napster era eventually helped build the streaming economy that followed.
AI music may ultimately follow a similar path.
What Independent Creators Should Actually Watch
For independent artists, the larger risks are probably not government seizure of songs or mass copyright stripping.
The more realistic concerns include:
- platform policy changes,
- monetization restrictions,
- AI disclosure requirements,
- content-identification disputes,
- changing distributor rules,
- and future licensing frameworks.
Those are operational and business risks, not necessarily existential ones.
Documentation May Become Important
Creators using AI-assisted workflows would be wise to preserve evidence of their own creative involvement.
That can include:
- lyric drafts,
- revision histories,
- prompts,
- editing decisions,
- sequencing notes,
- production choices,
- and timestamps.
The stronger the documented human role, the stronger the argument for human authorship.
At present, the law surrounding AI-generated media remains unsettled and incomplete. Courts, regulators, artists, and technology companies are all still defining the boundaries in real time.
But the current lawsuits do not amount to a blanket legal declaration that ordinary people are “losing their rights” to AI-assisted music.
That claim goes far beyond what the courts are actually debating.
If this work helps you understand what’s happening, help me keep it going: https://www.patreon.com/cw/WPSNews
For more from Cliff Potts, see https://cliffpotts.org
References
Reuters. (2026, March 24). U.S. music publishers suing Anthropic make their case against AI fair use. Reuters.
The Guardian. (2026, May 21). Spotify and Universal Music agree deal to let subscribers create AI remixes. The Guardian.
U.S. Copyright Office. (2025). Copyright and artificial intelligence guidance. U.S. Government Publishing Office.
Norton Rose Fulbright. (2026). AI in litigation series: An update on AI copyright cases in 2026. Norton Rose Fulbright.
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