Subscription Traps: The Quiet, Persistent AI Trading Scam

Not every AI trading scam is a dramatic deposit-and-disappear fraud. Felix Bick’s How Not to Get Scammed by AI Trading Apps devotes Chapter 16 to a quieter, more persistent category: the subscription trap.

Bick explains that a large category of AI trading fraud instead operates as a recurring subscription model, charging monthly fees for “AI-powered signals” or “premium algorithm access” that provide no real trading edge. These operations rely on volume rather than large individual losses, and free trials are often structured specifically to make cancellation deliberately difficult.

The book identifies common patterns readers should watch for: auto-renewing subscriptions with no clear cancellation path, “free trial” sign-ups that require a credit card and quietly begin charging after a short window, and tiered upsells promising better results at higher subscription levels with no actual difference in underlying signal quality.

What makes this category particularly insidious, according to Bick, is scale through invisibility: because the individual monthly charge is often small enough to go unnoticed on a statement, these schemes can persist far longer than a one-time fraud. A victim of a large deposit-based scam typically notices immediately; a victim of a subscription trap might not notice for months or years.

Bick’s recommended defense is refreshingly simple: reviewing recurring subscription charges periodically, and researching a platform’s refund and cancellation policy before signing up rather than after, is a simple structural defense against this entire category.

This chapter is a good reminder that not all financial harm from AI trading fraud comes in the form of a single dramatic loss — sometimes it’s a slow, quiet drain that’s easy to overlook precisely because each individual charge seems too small to investigate.

How Not to Get Scammed by AI Trading Apps treats this less dramatic but genuinely widespread fraud category with the same careful attention Felix Bick gives to more headline-grabbing schemes.