A Man Raised $12.3 Million Promising an AI Trading Bot. The SEC Says 3% of It Ever Touched a Trade.

August 23, 2026 AI Angst avatar, a robot head with a distressed expression. JBS

A glowing candlestick trading chart on a laptop screen, with a small robot icon overlaid in one corner, half of it dissolving into static, symbolizing the gap between real and fake AI trading claims.

The pitch was specific enough to sound credible: a proprietary AI trading bot, running high-frequency arbitrage across crypto exchanges, guaranteeing returns north of 100% in as little as three weeks.

Regulators say the bot barely touched the money at all.


What the SEC Actually Alleges

In May 2026, the SEC charged Texas resident Nathan Fuller in a civil complaint over a crypto trading scheme run through his company, Privvy Investments LLC, and under the assumed names Privvy Investments and Gateway Digital Investments.

  • Fuller allegedly raised $12.3 million from roughly 150 investors between October 2022 and mid-2024

  • He promised a proprietary AI-based trading bot performing high-frequency arbitrage across crypto assets

  • Some investors were promised returns of 40-50% within 30 to 45 days; others were told they'd see guaranteed profits exceeding 100% in as little as 21 days

  • The SEC alleges Fuller diverted $6.2 million for personal use and used another $5.5 million for Ponzi-style payments to earlier investors

  • According to the complaint, only about 3% of the raised funds ever actually went toward crypto trading

  • To cover losses, Fuller allegedly used fabricated statements and, notably, an AI-generated letter to reassure investors things were fine

The SEC is seeking permanent injunctions, disgorgement of the alleged gains plus interest, and civil penalties.


Not an Isolated Case

Regulators have been explicit that this fits a wider pattern. The Fuller case, one legal newsletter noted, "adds to a 2026 enforcement wave targeting AI-themed crypto schemes" and follows an earlier SEC action against an alleged AI trading kingpin behind a $198 million global Ponzi scheme.

A separate case, filed in December 2025, targeted an entirely fabricated ecosystem: fake crypto trading platforms named Morocoin, Berge, and Cirkor, paired with "AI investment clubs" that recruited victims through social media ads, then moved conversations into WhatsApp groups. There, fraudsters posing as financial professionals shared what they called "AI-generated investment tips" to build trust before directing victims to fund accounts on platforms where, the SEC says, "no trading ever occurred." That scheme moved at least $14 million out of the US, in some cases through accounts in China and Hong Kong.

"This matter highlights an all-too-common form of investment scam," said Laura D'Allaird, chief of the SEC's Cyber and Emerging Technologies Unit.


Case Amount Core Allegation
Nathan Fuller / Privvy Investments (May 2026) $12.3 million Fake AI arbitrage bot; ~3% of funds actually traded
Alleged "AI trading kingpin" (2025) $198 million Global Ponzi scheme built around a claimed AI trading system
Morocoin/Berge/Cirkor "AI investment clubs" (Dec 2025) $14 million+ Entirely fake trading platforms; fabricated "AI-generated" tips

What Legitimate AI Trading Tools Actually Do

None of this means every AI-branded crypto trading tool is a scam. Real automated trading platforms are a genuine, widely used category, ranging from simpler grid-trading and dollar-cost-averaging bots to more adaptive systems that use machine learning to adjust to shifting market conditions rather than relying purely on fixed rules.

What separates the legitimate tools from the fraudulent pitches isn't really the word "AI" at all, it's a handful of very concrete, checkable details:

  • Legitimate platforms typically connect to a user's own exchange account via API with withdrawal permissions disabled, so the platform can trade but can't move funds out

  • They disclose their actual strategy type (grid, arbitrage, DCA, signal-based) rather than describing it only as a vague, proprietary "AI"

  • They don't promise guaranteed returns, because no strategy, human or algorithmic, can guarantee profit in a genuinely volatile market

  • They operate on regulated or well-established exchanges rather than a closed, self-contained platform a user has to fund directly and can't independently verify

Industry reviewers covering this space are candid that even legitimate bots aren't magic: "AI trading bots can help traders make money — but they do not guarantee profits. Their real strength is consistency... If the strategy is weak, the bot can just as easily automate losses."


The Warning Signs Regulators Keep Repeating

The SEC, CFTC, and NASAA have all issued warnings this year pointing to a fairly consistent set of red flags: guaranteed or unusually high fixed returns, pressure to invest quickly, requests to send crypto to an unfamiliar wallet, refusal to do a simple identity verification like an unscripted video call, and trading "signals" delivered through private group chats by someone posing as a financial professional.

One security researcher put the current moment plainly: "Regulators are catching up, not keeping up." AI has made two things cheaper for fraudsters at once: generating convincing fake personas and deepfaked "proof," and producing polished, plausible-sounding technical explanations for why an obviously too-good-to-be-true return is actually legitimate.

The word "AI" hasn't changed what a Ponzi scheme fundamentally is; it's changed how good the cover story sounds. A guaranteed 100% return in three weeks was exactly as impossible before large language models existed as it is now. What's different is that the letter explaining why it isn't a scam can now be generated in seconds, sound completely professional, and specifically target the one piece of technology jargon a skeptical investor might otherwise have pushed back on. The fundamentals of spotting the fraud haven't moved. The fluency of the fraud has.

AI-Powered Crypto Trading: FAQ

It refers to software that uses machine learning or other AI techniques to analyze market data and automatically execute cryptocurrency trades, ideally adapting to changing conditions rather than relying only on fixed, pre-set rules. Legitimate versions of this exist as real products; the term has also been widely misused in investment fraud.

The SEC charged Texas resident Nathan Fuller in May 2026, alleging he raised approximately $12.3 million from about 150 investors between October 2022 and mid-2024 through his company Privvy Investments, promising a proprietary AI-based trading bot performing high-frequency crypto arbitrage. The SEC alleges Fuller promised guaranteed returns of over 100% in as little as 21 days, diverted $6.2 million for personal use and $5.5 million toward Ponzi-style payments to earlier investors, and that only about 3% of raised funds ever went toward actual crypto trading.

Part of a bigger pattern. The SEC has described 2026 as part of a broader enforcement wave against AI-themed crypto schemes, including a separate case involving an alleged $198 million global Ponzi scheme built around a supposed AI trading system, and a December 2025 case against fake crypto platforms and "AI investment clubs" that defrauded investors of at least $14 million using fabricated AI-generated trading tips.

Yes. Real automated and AI-assisted trading platforms exist and are used by retail and institutional traders, ranging from grid-trading and dollar-cost-averaging bots to more adaptive machine-learning-driven systems. Legitimate platforms disclose their strategies, don't request withdrawal access to a user's exchange account, and don't promise guaranteed returns, since no trading strategy, AI-powered or not, can guarantee profit in a genuinely volatile market.

Regulators including the SEC, CFTC, and NASAA have flagged guaranteed or unusually high fixed returns, pressure to invest quickly, requests to send crypto to unfamiliar wallets, refusal to verify identity on an unscripted call, and claims of AI-generated trading signals delivered through private group chats or messaging apps as common warning signs.

The honest answer is that evidence is mixed and platform-dependent. Industry reviewers note that AI trading tools can improve execution consistency and remove emotional decision-making, but that profitability still depends heavily on the underlying strategy and risk management, and that a bot with a weak strategy will simply automate losses faster and more consistently than a human would.


Jans Bock-Schroeder, AI Expert and Founder of AI Angst

Jans Bock-Schroeder

Publisher & Founder of AI Angst

Coming from the world of art, photography, and the luxury market, Jans launched AI Angst in 2025 to explore the cultural, ethical, and psychological impacts of artificial intelligence. His work bridges creative vision with critical technology analysis, offering clarity in an era of rapid technological change.


Sources and Citations

This article is based on the following sources:

  1. CoinDesk — "SEC sues Texas man over $12.3 million alleged crypto scheme built on fake AI trading bots" (May 30, 2026)
    Primary source for the Nathan Fuller/Privvy Investments case details.
    https://www.coindesk.com/business/2026/05/30/sec-sues-texas-man-over-usd12-3-million-alleged-crypto-scheme-built-on-fake-ai-trading-bots
  2. Bitcoin.com News — "The Bots Were Fake: SEC Sues Privvy Founder Over $12.3 Million Crypto Scheme" (June 1, 2026)
    Source for the broader 2026 enforcement-wave context and the $198 million prior case reference.
    https://news.bitcoin.com/sec-privvy-fuller-ai-bot-fraud/
  3. SEC.gov (via Securities Docket) — "SEC Alleges Crypto Asset Fraud Scheme Involving 'Proprietary AI-Based Trading Bots'" (May 28-June 1, 2026)
    Source for the official complaint details and requested relief.
    https://securitiesdocket.beehiiv.com/p/sec-alleges-crypto-asset-fraud-scheme-involving-proprietary-ai-based-trading-bots
  4. The Hacker News / Yahoo Finance (SEC) — "SEC Charges Fake Crypto Platforms, AI Investment Clubs in $14M Scam" (December 2025)
    Source for the Morocoin/Berge/Cirkor case and the Laura D'Allaird quote.
    https://thehackernews.com/2025/12/sec-files-charges-over-14-million.html
  5. UEEx Blog — "Beyond the Hype: The Dark Side of AI in Crypto Nobody's Talking About in 2026"
    Source for regulator red-flag guidance and the "regulators are catching up, not keeping up" framing.
    https://blog.ueex.com/the-dark-side-of-ai-in-crypto/

Published: August 23, 2026. Sources verified at time of publication. All external links open in a new tab. Allegations described here are from civil complaints; defendants are presumed innocent unless and until proven otherwise. This article is not financial advice; consult a qualified, independent financial advisor before making any investment decisions, and verify any platform's regulatory registration directly with the SEC, CFTC, or your local regulator before investing.

A glowing digital padlock made of quantum particle trails, cracking silently down the middle with no visible impact, set against a dark background of faint binary code.

The First Quantum Hack of Crypto Might Not Look Like a Hack at All. Here's the Warning Sign to Actually Watch For.


A cracked ceramic bust of a classical head with glowing circuit patterns visible inside the crack, symbolizing the gap between how AI appears and how it actually works.

6 Things Almost Everyone Gets Wrong About AI, According to the People Who Study It


A split-screen digital illustration: on one side a glowing red network of intrusion paths spreading across a world map, on the other a blue shield made of circuit patterns intercepting the same paths, symbolizing offensive and defensive AI in cybersecurity.

An AI Carried Out 80% of a Real Hack on Its Own Last Year. That's Not the Scary Part Anymore.