Nvidia shareholder suit turns AI-data allegations into a board-oversight test

Jen-Hsun Huang, Nvidia’s founder, president and chief executive since 1993, is a director and the central individual defendant. The complaint also names ten directors and four senior executives, including Chief Financial Officer Colette Kress and General Counsel Timothy Teter. Their positions matter because the suit says they were responsible for oversight, public statements and, for the audit-committee members, controls and risk reporting—not because it says they personally downloaded the disputed material.

Three alleged data pipelines, and three layers of uncertainty

The complaint groups the underlying allegations into three categories:

• Nvidia’s NeMo Megatron language models were trained on The Pile, which includes Books3. Berliner says Books3 contained about 196,640 books from a pirate library.
• Nvidia’s Cosmos video work used YouTube-derived datasets, including HD-VG-130M, HD-VILA-100M and HowTo100M. Berliner alleges Nvidia employees obtained video files in ways that bypassed YouTube’s technical protections and that some dataset terms limited commercial use.
• Nvidia’s commercial voice models used recordings from which voiceprints were extracted without the notices and written releases that Berliner says Illinois’ Biometric Information Privacy Act requires.

Each layer has to be kept distinct. Berliner is alleging that Nvidia used the data; the complaint in turn relies in part on assertions in earlier litigation and reporting about those uses. It also asserts that Huang, directors and officers knew or should have known of the practices. None of those propositions has been resolved in this case.

The complaint identifies earlier actions by book authors, video creators and voiceprint holders, filed in March 2024, November 2025 and May 2026 respectively. It also lists additional litigation involving Nvidia’s data practices. The existence of lawsuits can support a claim that legal risk was visible; it does not establish that the underlying conduct was unlawful or that the board had the knowledge Berliner must ultimately show.

The disclosure theory has its own weakness

Berliner’s governance theory relies heavily on Nvidia’s code of conduct, annual reports and proxy statements. The complaint points to language about trustworthy AI, privacy and data-protection compliance, and says the company’s 2026 proxy no longer included wording used in its 2024 and 2025 proxies about its AI principles.

But the same complaint quotes a counterweight from Nvidia’s 2024 annual report: the company warned that AI products could raise legal, social and ethical issues, including claims involving copyright, rights of publicity and privacy, and could create liability, costs or reputational harm. Broad risk disclosure does not by itself defeat a claim that a company concealed a known problem. It does mean the suit will have to identify what material information was allegedly missing or misleading beyond general statements of principle and general warnings of risk.

The complaint also alleges that Nvidia repurchased about $13.258 billion of stock between June 2024 and January 25, 2026 at prices it says were inflated by the alleged misstatements. That is a claimed measure of corporate harm, not an established market-causation finding. The pleading itself acknowledges that Nvidia does not disclose the precise dates of each repurchase and says discovery would be needed to establish timing.

Approximate years on Nvidia’s board for the 10 directors listed in the shareholder complaint. Source: Berliner v. Huang et al. complaint.

The decision that comes before the merits

Before the court reaches whether any AI-data use, disclosure or stock repurchase was improper, Berliner must establish that a demand on Nvidia’s board to pursue the claims was excused as futile. The complaint says the board had ten directors when the case began and argues that at least five could not impartially consider such a demand because of their alleged exposure.

That is the immediate boardroom test. The defendants can contest the allegations of unlawful data use, their knowledge, the alleged link between the company’s disclosures and its repurchases, and whether the directors were unable to assess a shareholder demand. Evidence showing what management and directors knew, when they knew it, and what controls actually governed the datasets will determine whether this becomes a durable governance case or remains an effort to translate unresolved AI-data claims into one.