The U.S. Securities and Exchange Commission charged a Texas man this week with running a $12.3 million crypto fraud scheme built on fake AI trading bots. Nathan Fuller, a resident of Texas, allegedly raised the money from roughly 150 investors by promising them automated trading returns driven by artificial intelligence. Instead, the SEC says, there were no real bots — just fabricated statements and empty promises.
The pitch
Fuller told investors he had developed proprietary AI software that could trade cryptocurrencies automatically and generate guaranteed profits. The pitch worked. Over time, about 150 people poured a combined $12.3 million into his operation. According to the SEC's complaint, Fuller used the money for personal expenses and to pay earlier investors in a classic Ponzi-like structure — though the agency did not use that exact term in its announcement.
The supposed AI trading bots never existed. Investors received fake account statements showing healthy returns, but no actual trading took place. The scheme ran until regulators caught up.
The case is the latest example of the SEC cracking down on crypto fraud that wraps itself in buzzwords. AI trading bots have become a common lure, especially as retail investors chase the next big thing. The SEC has made clear it views such pitches as red flags, not innovation.
Fuller now faces civil charges. The SEC is seeking disgorgement of all ill-gotten gains plus penalties. A federal court will decide the outcome.
The SEC's case against Fuller is ongoing. No criminal charges have been announced, but civil enforcement typically precedes or accompanies criminal referrals in major fraud cases. For the roughly 150 victims, recovery of funds is uncertain — the SEC can freeze assets, but the agency hasn't indicated how much remains.
The case serves as a reminder: when a stranger promises AI-powered crypto riches, the bots are probably fake.
