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Snap Stock Surges On $400 Million AI Partnership And Robust Q3 Growth

Snap Inc. experienced a 13% surge in its share price following the announcement of a landmark $400 million deal with Perplexity AI. The deal, structured through a mix of cash and equity payments over the next year, marks a significant step for Snap as it integrates Perplexity’s cutting-edge, artificial intelligence-powered search engine directly into the Snapchat application.

Robust Q3 Financial Performance

In addition to the strategic AI integration, Snap reported impressive third-quarter results, with revenues reaching $1.51 billion—exceeding LSEG estimates of $1.49 billion. The platform also reported an 8% increase in daily active users year-over-year, totaling 477 million, slightly above the StreetAccount projection of 476 million. These financial metrics underscore the company’s strong market position and its ongoing efforts to diversify revenue streams.

Industry Implications And Future Outlook

According to [Deutsche Bank’s Benjamin Black](https://www.linkedin.com/in/benjamin-black/), the partnership with Perplexity AI paves the way for Snap to develop alternative revenue streams, particularly as large U.S. advertisers exhibit caution on platforms similar to Pinterest. The integration of AI into the app is anticipated to begin generating revenue by 2026, further cementing Snap’s commitment to innovative, long-term growth strategies.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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