Investment fraud

Report count and reported financial harm answer different questions. A category can produce fewer complaints yet carry greater aggregate reported losses because the amounts stated in those complaints are larger. This distinction makes investment fraud central to understanding loss concentration.

In the U.S. FTC's calendar 2025 reporting population, consumers stated that more than 7.9 billion U.S. dollars was lost to investment scams. That was approximately half of all fraud losses reported to the FTC, even though imposter scams were the most frequently reported category.¹

The same separation between frequency and aggregate loss appears within other reporting populations.

For a person deciding what deserves attention, a long stream of low-value contacts can look like the dominant problem because it is encountered more often. Complaint data shows why frequency alone is incomplete. A smaller category can carry more of the money reported lost.

AI may manufacture polished messages, endorsements or conversations, but the resulting complaint can still enter the established investment-fraud category. The records generally preserve the category and stated loss, not whether synthetic material changed the decision.¹² They therefore do not reveal AI's share of investment-fraud losses.

In practice, the important classification is the proposed movement of money into an investment, not how modern or convincing the invitation appears. An investment proposition may be recorded under the investment-fraud category.

Boundary. Aggregate concentration does not mean every investment approach produces a large loss or that other categories are unimportant. These are reported losses within named systems, not complete national totals. FTC and IC3 figures may overlap and must not be added together.