When Reputation Attacks Become Extortion

Some reputation attacks aren’t just malicious — they’re explicitly transactional, and Felix Bick’s How Not to Get Scammed by AI Trading Apps addresses this directly in Chapter 62’s discussion of extortion attempts against businesses.

Bick describes the pattern clearly: an individual or group threatens to publish, or continue publishing, damaging content — true, false, or a mixture — unless a payment is made. This tactic has been used against both individuals and businesses, sometimes leveraging genuine but embarrassing information, and sometimes fabricating claims entirely.

The chapter’s guidance on how to respond is important and somewhat counterintuitive to a natural instinct: financial and legal experts generally advise against paying such demands, since payment provides no binding guarantee the content will be removed or that further demands will not follow, and can establish a pattern that invites repeated targeting. Paying once often just confirms to the extortionist that the target is willing to pay, inviting further demands rather than resolving the situation.

Bick’s recommended response instead centers on formal channels: appropriate responses typically include documenting all communication, reporting extortion attempts to relevant law enforcement, which treat this as a criminal matter in most jurisdictions, and consulting legal counsel before responding directly to the individual or group making the threat.

This chapter is a valuable, practical resource for anyone who finds themselves on the receiving end of this specific and genuinely distressing threat. Bick’s clear guidance against paying, backed by the reasoning behind it, gives readers a firm footing for making a difficult decision under real pressure.

Felix Bick’s inclusion of this topic in How Not to Get Scammed by AI Trading Apps underscores the book’s comprehensive approach to the full range of threats connected to the modern investment and reputation landscape.