The $42 Million ‘AI’ That Was Secretly Just Humans in a Back Room
Imagine investing millions in a cutting-edge artificial intelligence startup, one that promised to autonomously shop the internet for you using “machine learning” and “neural networks.” Now imagine discovering that the “AI” was actually hundreds of people in an overseas call center, typing in your orders by hand. That’s not a hypothetical. It’s a federal fraud case.
In April 2025, the U.S. Securities and Exchange Commission and the Justice Department filed parallel charges against Albert Saniger, founder and former CEO of the shopping app Nate. The allegation: he raised over $42 million by telling investors his app used AI to complete online purchases automatically, when, in reality, its actual automation rate was “effectively zero percent.”
Instead of algorithms, prosecutors say the work was done by hundreds of contractors in a call center in the Philippines, and sometimes Romania, manually processing each transaction. According to the filings, Saniger even directed employees to keep the operation secret and staged fake automated transactions for investors. The most damning detail for anyone in finance: when investors ran their own due diligence, he reportedly assured them the app was fully AI-automated, except for rare “edge cases.” Each fraud charge carries up to 20 years in prison.
Here’s the uncomfortable part: Nate wasn’t a one-off.
It has a name now, “AI washing”, and regulators are treating it as a wave. In 2026, the SEC brought a fresh round of cases, including one against a startup accused of deceiving investors about its revenue, valuation, and customer demand. A restaurant-tech company was accused of staging fake AI demos while overseas workers processed orders behind the scenes. The SEC has named AI a top examination priority, and in roughly 18 months the enforcement has escalated from civil fines to criminal indictments.
Why does this keep happening? Because AI is genuinely hard to verify. As one analysis put it, confirming whether a company truly uses AI as a real competitive advantage requires technical due diligence that most investors, journalists, and customers simply aren’t equipped to perform. Fraudulent companies speak about AI in vague, abstract, non-falsifiable terms, and in a gold rush, few people stop to check.
And that’s the real lesson, especially for anyone writing large checks. The Nate investors weren’t lazy, they asked questions and were lied to. Surface-level diligence and a polished pitch deck are no longer enough. In an era where the most advanced-sounding technology is also the easiest to fake, the only real protection is going deeper: independent technical verification, and conversations with people who genuinely understand the technology and the industry well enough to tell a working model from a call center.
Because in the AI age, the question that separates a smart investment from a $42 million mistake is deceptively simple: is the AI actually real, and how do you know?
