What happens when AI agents take over the scam economy?

Scams can be seen as a uniquely crafted intricate piece of art, but now they could now be reduced to something akin to a cheap photocoypy, for better or worse. Agentic AI is turning that handcrafted work into an assembly line. Today, one operation can now run thousands of social engineering experiments at once, with no call center required.

In this episode of our Clarity podcast, Rio Miner, a former U.S. Army intelligence officer and bank financial crimes investigator, talks about what separates AI agents from chatbots, how automation changes the economics of fraud, and why so many defenses built for human-run scams may now struggle to keep up. Miner explains why everything is starting to look like a scam, and why independent verification may be the most reliable safeguard left.

Why you should listen

1. Agents change the economics — Learn how AI agents let a few criminals do the work of dozens, and why that could multiply the reach and number of existing scam operations.
2. Verification over detection — Understand why spotting a scam by how it looks is getting harder, and why independently confirming requests through a separate channel may be the best defense.
3. Controls start at the front door — Hear why account opening and know-your-customer data quality shape every downstream fraud and anti-money laundering control, and what to expect from the scam landscape over the next year.