The promises were nearly too alluring to turn down. advanced algorithms, AI-powered platforms that would level the playing field between Wall Street behemoths and regular investors, and machine learning models that could forecast market movements. ODDITY Tech promised its shareholders for months that its AI-driven strategy would maintain high growth margins and revolutionize online consumer interactions with beauty products.
Then reality struck with the force of a market crash on February 25, 2026. In a single trading session, the stock fell 49%, wiping out over $600 million in market value and leaving retail investors staring at ruined portfolios.
| Category | Details |
|---|---|
| Topic | AI Trading Application Securities Fraud |
| Primary Case | ODDITY Tech. Ltd. (NASDAQ: ODD) Class Action |
| Filing Date | April 7, 2026 |
| Class Period | February 26, 2025 – February 24, 2026 |
| Lead Plaintiff Deadline | May 11, 2026 |
| Law Firm | Hagens Berman |
| Stock Price Decline | 49% (single-day drop on Feb 25, 2026) |
| Market Cap Loss | Over $600 million |
| Projected Q1 2026 Revenue Decline | 30% year-over-year |
| Reference | Hagens Berman Securities Law |
These investors are now retaliating. Hagens Berman, a national shareholders rights firm, filed a securities class action lawsuit alleging that ODDITY violated federal securities laws by deceiving investors about the actual capabilities and stability of its AI platform.
It’s an eerily familiar tale that echoes the hollow rebranding efforts of the blockchain fad and the hollow promises of the dot-com bubble. This time, however, artificial intelligence is the buzzword, and because the technology itself seems so revolutionary, the stakes feel a little higher.
The complaint focuses on what ODDITY allegedly neglected to disclose: that its ads were redirected to lower-quality auctions at unusually high costs due to an algorithm change made by the company’s biggest advertising partner. The cost of acquiring new customers increased dramatically. Suddenly, the AI-driven growth engine that management had so boldly boasted about was choking on its own inefficiencies.
When an analyst questioned management during an earnings call about when they first became aware of the issue, executives would only admit to seeing “something different in the second half of 2025.” There were concerns about what management knew and when they knew it because of the intentional ambiguity.
Beyond the algorithmic issues of a single company, a larger pattern is becoming apparent. Regardless of whether the underlying technology truly functions as promised, the AI boom has created an environment where merely mentioning artificial intelligence can inflate valuations and draw capital. This trend is being driven almost recklessly by investment enthusiasm.
In just two months, nearly 200 S&P 500 companies brought up “AI” during earnings calls, according to a FactSet review from last year. The phrase now serves as a shorthand for value and innovation, indicating that management is aware of the direction the future is taking. However, the discrepancy between hype and reality is now causing regulators and the securities bar, in addition to skeptical journalists, to take notice.
Apple had to learn this lesson the hard way. A class action lawsuit was filed by shareholders in June 2025, claiming that the tech giant had misled investors about its AI capabilities at the Worldwide Developers Conference the year before. Markets were led to believe that AI would boost sales of the iPhone 16 after Apple unveiled an ambitious Apple Intelligence initiative that would purportedly make Siri much more powerful.
However, the complaint claims that Apple lacked a working prototype of these cutting-edge features and had no realistic expectation that they would be available in time. Apple’s stock price crashed, losing almost 25% of its value—roughly $900 billion in market capitalization—when the company revealed that it had postponed its Siri upgrades until 2026. It’s not a rounding error. It’s a reckoning.
Similar charges have been made against other businesses. In August 2025, a class action lawsuit was filed against C3.ai, which bills itself as the first enterprise AI company. The lawsuit claimed that the company had misled investors about the performance and adoption of the technology. According to the lawsuit, the company’s ability to close deals was being actively hampered by CEO Thomas Siebel’s serious health issues, making previously issued revenue guidance unachievable.
The stock fell roughly 25.6% after C3 AI revealed disastrous preliminary results and cut its full-year guidance. Early in 2025, Elastic N.V. was sued for allegedly inflating the amount of AI integration in its products. Companies promise AI-powered transformation, investors raise stock prices, and then reality doesn’t live up to the pitch deck. This is a recurring pattern.
Regulators are observing. The practice of inflating or misrepresenting a company’s AI capabilities to make them appear more innovative or valuable than they actually are is known as “AI washing,” and the Securities and Exchange Commission and the Department of Justice have initiated a number of enforcement actions against it. Regarding the matter, SEC Chair Gary Gensler has been direct, saying that “when new technologies come along, they can create buzz from investors as well as false claims by those purporting to use those new technologies.” He has made it abundantly evident that investment advisors who make false claims about using AI models are simply engaging in fraud. He contends that such dishonesty not only harms individual investors but also diverts funds from respectable startups, fosters skepticism about real breakthroughs, and eventually slows down the development of AI.
In order to concentrate on AI-related misconduct, the SEC established a special Cybersecurity and Emerging Technologies Unit in February 2025. The cases they have filed show how egregious some of the deceit has been. Global Predictions Inc. and Delphia (USA) Inc. settled charges in March 2024 after making false claims about using advanced AI-driven investing models. In fact, one advertised itself as the “first regulated AI financial advisor.” Both businesses actually had none of the promised AI capabilities. They consented to pay $400,000 in fines. Presto Automation Inc. was hit with a cease-and-desist order by the SEC in January 2025 for making false claims regarding its drive-thru voice assistant, which it claimed was “proprietary AI” but was actually primarily powered by a third-party vendor with substantial human involvement.
Albert Saniger, the founder of Nate, Inc., raised over $42 million by presenting his shopping app as AI-powered, which is arguably the most egregious case. The truth? Foreign contractors were processing transactions by hand. He was charged jointly by the DOJ and SEC in April 2025, which resulted in both criminal and civil proceedings.
The stakes were aptly expressed by Acting US Attorney Matthew Podolsky: “This type of deception not only victimizes innocent investors, it diverts capital from legitimate startups, makes investors skeptical of real breakthroughs, and ultimately impedes the progress of AI development.”
It’s difficult to ignore the human cost hidden behind market data and regulatory jargon when navigating these cases. When the promises of AI fade, retail investors—those in charge of their own retirement accounts, attempting to accumulate wealth outside of conventional employer pensions, and hoping to take part in technological advancement—are the ones left holding worthless positions. They were the ones who trusted that “AI-driven” was more than just a catchphrase used to inflate quarterly earnings calls, and who trusted management’s promises.
The ODDITY case serves as an example of how quickly things can fall apart. Investors were reassured for months by the company’s management that high growth and attractive margins would be sustained by its proprietary AI platform. The digital operating model appeared to be reliable, advanced, and long-lasting. Then, on February 25, 2026, it was announced that Q1 2026 would see a staggering 30% year-over-year revenue decline.
The complaint claims that ODDITY knew about the disruption much earlier than it disclosed, but the company blamed algorithm changes by its biggest advertising partner. Management acknowledged that they had “observed that something was different in the second half of 2025” during the earnings call, but they would not say when the problem truly began. The foundation of securities fraud cases is precisely this ambiguity.
“We’re investigating when ODDITY first knew of the dislocation issue and whether it may have intentionally misled investors about the true strength of its AI growth-driver,” stated Reed Kathrein, the Hagens Berman partner in charge of the inquiry. This is a fundamental question about corporate responsibility in the era of artificial intelligence.
When does enthusiasm for new technologies turn into fraud? When does it become illegal under securities law to fail to disclose known issues? These are issues that have actual financial ramifications for thousands of investors, not just theoretical legal conundrums.
We seem to be in the early phases of a more extensive regulatory crackdown. The AI boom has brought in huge sums of money, drawn significant investment, and produced real technological advancements. However, it has also fostered an atmosphere that is conducive to deception, exaggeration, and outright fraud. We learned from the dot-com era that a business cannot succeed by merely adding “.com” to its name.
Renaming a beverage company “Long Blockchain Corp” may temporarily increase its stock price, but it doesn’t create long-term value, as the blockchain fad demonstrated. Artificial intelligence is teaching us the same lesson, but the technology itself is more complicated, more difficult to validate, and more easily misrepresented.
Even knowledgeable investors find it difficult to discern between real machine learning capabilities and glorified automation bearing the AI label, which makes AI washing especially pernicious. Without insider information or a regulatory investigation, it is challenging to verify corporate claims due to the opaque nature of the technology.
Businesses are aware of this, and some seem to be purposefully taking advantage of this information asymmetry. Although enforcement will always lag behind innovation, particularly in a field that is developing as quickly as artificial intelligence, the SEC’s enforcement actions indicate that regulators are attempting to close that gap.
Class action lawsuits, regulatory complaints, and the hope that discovery will reveal what management knew and when they knew it are the options available to retail investors caught in such circumstances. The legal system is costly, unpredictable, and slow. Investors are rarely fully compensated, even in successful settlements. However, it would be worse to let businesses misrepresent their AI capabilities without facing any repercussions.
It would indicate that investors should just assume that everything management says about artificial intelligence is exaggerated by some unidentified factor, that AI washing is just another expense of doing business, and that exaggeration is expected.
The lesson that emerges from these cases is actually very clear: even with AI buzzwords, securities fraud is still securities fraud. The legal rules governing corporate disclosure haven’t altered despite the new technology.
Regardless of whether the underlying business involves AI, blockchain, internet services, or traditional manufacturing, companies that make material misrepresentations to investors, conceal negative facts affecting their business prospects, or issue guidance they know is unachievable are in violation. The buzzwords don’t matter to the law. Honesty is important to it.
As this develops, an unsettling parallel to earlier technology bubbles becomes apparent. The same enthusiasm among investors, the same readiness to put aside skepticism, and the same belief that this time is unique because the technology is genuinely revolutionary.
Perhaps it’s revolutionary. Artificial intelligence is probably going to change how companies run, how customers use technology, and how value is produced and shared. However, short-term fraud is not justified by that long-term transformative potential. It does not justify deceiving investors. The cost of management’s exaggerations shouldn’t be borne by retail traders.
Like the Apple and C3.ai cases that preceded it, the ODDITY lawsuit is a moment of reckoning. Investors are resisting. Regulators are becoming more skeptical of AI claims. AI washing is being acknowledged by the securities bar as a serious and expanding type of market fraud. These cases may create more precise guidelines for what businesses can say about their AI capabilities.
They might set precedents that make lying more dangerous and less lucrative in the future. Alternatively, we might just repeat this cycle using the next technological buzzword, whatever it may be.
Retail investors who lost money in ODDITY and related cases currently have until May 11, 2026, to participate in the class action. In order to strengthen the case against what they perceive to be intentional corporate misconduct, they are being asked to submit their losses and take part in the discovery process. It’s still unclear if they will be able to recoup their investments.
However, the more general point—that the AI boom doesn’t operate outside the law—has already been made. Businesses that use artificial intelligence marketing to cover up their subpar technology should face the same scrutiny, enforcement, and legal repercussions as any other type of securities fraud. The duty to be honest with investors doesn’t change, even if the buzzwords do.
