AI washing is now a $250M legal liability — what operators need to know
Slapping “AI-powered” on your product when it runs a basic rules-based algorithm is no longer just sloppy marketing. As of September 2026, it is a documented path to FTC enforcement, competitor litigation, and nine-figure class action settlements.
A legal analysis from Troutman Pepper Locke breaks down exactly where the exposure sits and what companies need to do before the next product launch.
The numbers behind AI washing enforcement
The FTC has brought 13 AI washing enforcement actions under Section 5 of the FTC Act, treating deceptive AI capability claims as unfair or deceptive practices. This covers both explicit claims (“our product uses AI”) and implied ones (naming your software “NeuralAdvisor” when it does not use AI).
FTC Chairman Andrew Ferguson framed the enforcement posture in April 2026 congressional testimony as protecting honest innovators: the agency is targeting “bad actors who undermine innovation through deception.” FTC Bureau of Consumer Protection Director Christopher Mufarrige confirmed at a September 2025 NAD conference that the FTC is specifically focused on “fraudsters and other unscrupulous actors who make false and misleading claims related to their use of AI.”
The Apple precedent: marketing AI before it ships
The most consequential case for product companies is Landsheft v. Apple Inc., No. 5:25-cv-02668 (N.D. Cal.). Apple settled for a proposed $250 million on May 5, 2026, covering iPhone 16 and certain iPhone 15 Pro buyers who purchased between June 10, 2024, and March 29, 2025 — roughly 37 million devices. Eligible buyers could receive between $25 and $95 per device.
The complaint did not claim Apple lied about having AI technology. It claimed Apple advertised AI features as ready when consumers bought the phones, and then delivered “a significantly limited or entirely absent version of Apple Intelligence.” The legal theory: consumers paid a premium for capabilities that were not available at the time of purchase.
That theory extends to any company that front-loads AI capability claims in a product launch before the technology is ready to deliver.
⚖️ Three legal frameworks companies face simultaneously
- FTC Act, Section 5: The FTC treats AI washing as a deceptive act. Remedies include civil penalties, injunctive relief, and in some cases disgorgement of profits through administrative proceedings.
- Lanham Act, Section 43(a)(1)(B): Competitors have a direct private cause of action. A literally false AI claim — calling a product “AI-powered” when it contains no AI component — lets a plaintiff presume consumer deception without running a consumer survey. Preliminary injunctions can halt a marketing campaign before final judgment.
- Trademark registration risk: AI-suggestive marks filed with the USPTO for products that do not use AI are vulnerable to deceptive misdescriptiveness challenges under Section 2(a) of the Lanham Act, and can be cancelled in TTAB proceedings.
The practical checklist from the analysis
- Substantiate before you market. Get technical documentation confirming the AI functionality before any claim goes live. “We thought it used AI” is not a defense under the FTC’s substantiation doctrine.
- Audit your trademark applications. Any pending mark incorporating “AI,” “Neural,” “Intelligence,” or “Machine” should be reviewed against whether the actual product uses AI.
- Watch your competitors. If a rival is falsely claiming AI parity with your genuine AI product, the Lanham Act gives you a private right of action and a fast path to injunctive relief.
- Be specific in your marketing copy. “Uses AI to personalize recommendations” is more defensible than “fully AI-powered” if only one component uses machine learning.
The bottom line: the FTC is not backing off this area under the current administration, and private Lanham Act litigation does not wait for regulatory action. For any operator marketing a product with AI claims, the substantiation work needs to happen before the campaign launches, not after a competitor’s legal team calls.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I’m dedicated to sharing genuine, useful product insights and tips.
At BizStack, I aim to cut through the digital noise to provide clear, actionable advice.
And more than all else, I’m a father to a (always) little girl and a husband.
Contact me at [email protected] for assistance.
