Investors filed a securities lawsuit against Adobe Inc. executives, alleging the company and its former chief executive officer made false statements about the company's use of copyrighted material in training artificial intelligence models.
The plaintiffs assert that Adobe executives, including the former CEO, repeatedly assured shareholders that Adobe did not train its AI systems on copyrighted works without permission. Investors relied on these statements when making investment decisions. Adobe later publicly acknowledged using copyrighted material in its AI training processes, contradicting prior disclosures.
The lawsuit raises securities fraud claims under federal law. Plaintiffs argue the executives' statements constituted material misrepresentations or omissions that artificially inflated Adobe's stock price. When Adobe corrected course and disclosed its actual practices, the stock price dropped, causing investor losses.
This case sits at the intersection of three major legal battlegrounds: AI liability, intellectual property protection, and securities regulation. Courts will examine whether the executives' prior statements about copyright compliance constituted actionable fraud under Section 10(b) of the Securities Exchange Act of 1934 and SEC Rule 10b-5. Plaintiffs must establish that executives knew their statements were false or recklessly disregarded the truth.
The dispute reflects broader tensions in the AI industry. Multiple lawsuits have challenged whether AI companies can train models on copyrighted content without licensing agreements. Authors, artists, and publishers have sued OpenAI, Meta, and other firms over copyright infringement. Adobe faces similar claims from artists alleging copyright violations in its Generative Fill tool.
For Adobe specifically, this securities litigation compounds existing legal exposure. The company faces putative class actions from copyright holders and now shareholders. Settlements or judgments in either stream could significantly impact Adobe's financial position and operational practices.
The case underscores that AI companies cannot make broad assurances about copyright compliance without detailed internal documentation supporting those claims.