AI can now imitate faces, voices, documents, and even the subtle signals institutions use to decide whether we are trustworthy. Banks, platforms, and security systems are racing to detect synthetic fraud—but their mistakes can go both ways: letting criminals through while locking real people out of their own accounts.

As trust becomes automated, we are asked to prove ourselves through face scans, voice checks, liveness tests, and increasingly invasive forms of verification. But what happens when the systems designed to protect us can no longer tell who is real?

This episode of Interconnected explores the new fraud economy, the limits of deepfake detection, and the unsettling future of having to constantly prove that you are human.

The scam doesn’t end when an ad reaches your feed. That’s where the supply chain begins.

In Part 2 of Interconnected, Carl Kim goes inside the industrial operations behind online fraud—vast scam compounds where workers are recruited, trafficked, or held against their will and forced to target victims around the world.

These operations don’t work alone. They depend on social media platforms, digital payment systems, encrypted messaging apps, telecom networks—and even American satellite infrastructure—to keep the pipeline running.

We trace the journey from the compound to the screen: how strangers are trained to build trust, how victims are selected, and how billions flow through a system designed to make fraud feel personal.

The scammers may be the ones sending the messages. But the machine is much bigger than the person on the other end.

What if Facebook doesn’t just fail to stop scams—but makes money from them?

In the first part of Interconnected, Carl Kim investigates Meta’s hidden scam economy: billions of dollars in advertising revenue linked to scams and banned products, internal systems that may charge suspicious advertisers more instead of removing them, and a business model where regulatory fines can become just another operating expense.

Through the story of Diane, a retiree who lost her savings after meeting a scammer on Facebook and transferring money through Coinbase, we examine how responsibility gets pushed onto victims while platforms continue collecting revenue.

This is the first layer of a much larger system. Next, we follow the money—and the people behind the screens.