AI Learned From the Internet. Now the Internet Wants Payment.
Artificial intelligence was built on one simple idea:
To Read everything.
- Books
- Websites
- Research papers
- News articles
- Forums
- Code
- Images
Why Everyone Suddenly Started Suing AI Companies
Over the past two years, nearly every major AI developer has found itself in court.
Among the most closely watched cases:
- OpenAI facing lawsuits from publishers and authors.
The - New York Times alleging its journalism was used without permission.
- Getty Images suing AI companies over image training.
- Meta defending how it obtained training datasets.
- Anthropic responding to claims involving copyrighted books.
Although each lawsuit is different, they all revolve around one central question:
Can AI legally learn from copyrighted material without permission?
No court has provided a final answer that settles the issue across the industry.
Public Doesn't Mean Free
This is where many founders become confused.
If something is publicly accessible online, that does not automatically mean you have permission to copy it, redistribute it, or use it to train commercial AI systems.
Reading an article is different from downloading millions of articles into a training dataset.
Finding an image on Google is different from using that image to create a commercial generative model.
The internet is public.
Most of its content is still protected by copyright.
Those are two very different things.
The Fair Use Debate
Most AI companies argue that model training qualifies as fair use.
Fair use is a doctrine in U.S. copyright law that allows certain limited uses of copyrighted material without permission, depending on factors such as the purpose of the use, the nature of the work, how much was used, and the effect on the original market.
Supporters compare AI training to:
- Search engines indexing webpages.
- Students reading books.
- Researchers analyzing large datasets.
Critics argue something very different.
They believe AI systems can reproduce valuable portions of copyrighted works and compete directly with the original creators.
That disagreement has become one of the biggest legal battles in modern technology.
Why This Matters for Startups
Large AI companies have billions of dollars available for legal defense.
Most startups do not.
If you're building an AI product today, questions about where your training data came from may become just as important as the quality of your model.
Investors increasingly ask questions like:
- Do you own your datasets?
- Were licenses obtained?
- Can your data be audited?
- What happens if your supplier loses a lawsuit?
These questions aren't just legal concerns.
They're business risks.
The Future Belong's to Proprietary Data
For years, the internet felt like an unlimited resource.
That era may be ending.
More publishers are negotiating licensing agreements.
More creators are restricting automated scraping.
More enterprises are building private datasets instead of relying solely on public information.
The companies that thrive won't necessarily be the ones with the largest models.
They'll be the ones with the strongest rights to the data those models learn from.
References
"Copyright Act of 1976." Legal Information Institute, Cornell Law School, https://www.law.cornell.edu/uscode/text/17. Accessed 2 July 2026.
"Fair Use." Legal Information Institute, Cornell Law School, https://www.law.cornell.edu/uscode/text/17/107. Accessed 2 July 2026.
Getty Images (US), Inc. Getty Images (US), Inc. v. Stability AI Ltd. United States District Court for the District of Delaware, 2023. https://copyrightlately.com/pdf/getty-images-v-stability-ai-complaint.pdf.
Kadrey, Richard, et al. Kadrey et al. v. Meta Platforms, Inc. United States District Court for the Northern District of California, 2023. https://storage.courtlistener.com/recap/gov.uscourts.cand.415175/gov.uscourts.cand.415175.1.0.pdf.
The New York Times Co. v. Microsoft Corp. and OpenAI, Inc. United States District Court for the Southern District of New York, 2023. https://www.nytco.com/press/openai-microsoft-lawsuit/.
U.S. Copyright Office. Copyright and Artificial Intelligence: Part 3 - Generative AI Training. U.S. Copyright Office, May 2025, https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf.
U.S. Copyright Office. Copyright Basics. U.S. Copyright Office, https://www.copyright.gov/circs/circ01.pdf.
World Intellectual Property Organization. "Artificial Intelligence and Intellectual Property." WIPO, https://www.wipo.int/about-ip/en/frontier_technologies/ai_and_ip.html.
Organisation for Economic Co-operation and Development. OECD AI Policy Observatory. https://oecd.a