Stablecoin Fraud Risk, Agentic Commerce, and the Chargeback Liability Gap Nobody Has Solved
Welcome back to Fraudology.
This week I’m joined by Dave G., who spent years investigating money laundering, wire fraud, and scams before moving into e-commerce and, eventually, directly into crypto. Dave was on the ground floor of Bitcoin back when the white paper first came out, and he brings a rare vantage point on stablecoin fraud risk as someone who has watched a payment technology evolve from a niche curiosity into the backbone of a real conversation about agentic commerce.
We start with a story that sets the tone for the whole conversation. It demonstrates how unpredictable this space has always been, and how easily it is to miss where the real value and the real risk end up landing. From there, we get into the heart of what a stablecoin actually is, and why stablecoin unit economics change the payment fraud conversation entirely. They function less like a new currency and more like an infrastructure upgrade.
That capability sounds abstract until you follow it to its logical endpoint; agentic e-commerce. Everyone wants to talk about AI agents buying jackets, concert tickets, or collectibles, the high-consideration, emotionally driven purchases people actually enjoy shopping for. But Dave argues the real volume, and the real fraud exposure, is going to show up in the boring stuff. Bread, milk, and eggs. The things nobody wants to spend time discovering, just delivered. And when those transactions are worth pennies instead of dollars, low-dollar transaction fraud stops looking like a nuisance and starts looking like a scalable business model for criminals willing to take a cent at a time instead of hundreds of dollars at once.
That shift exposes a chargeback liability gap that already has real victims. A reminder that new payment technology fraud adoption always follows the same pattern: whatever gets built, someone tries to exploit before the guardrails exist.
What you'll hear in this episode:
- How Dave went from investigating money laundering and wire fraud to working directly in crypto, and the story of accidentally giving away roughly $1.5 million in Bitcoin at industry conferences.
- Why stablecoin fraud risk needs to be understood separately from Bitcoin fraud history, and how stablecoins function more like an infrastructure upgrade than a new currency.
- How stablecoin unit economics make micropayment fraud economics viable at a scale traditional card and ACH rails were never built to support.
- Why the agentic e-commerce conversation has it backwards, focusing on high-consideration purchases like jackets and concert tickets instead of the low-dollar transaction fraud risk hiding in everyday purchases like bread, milk, and eggs.
- A real chargeback liability example where a cardholder admitted an AI agent made the purchase, and the merchant still had no compelling evidence chargeback rules to fight it.
- Why device-based identity verification is a weaker foundation than the industry treats it as, and an early look at an emerging protocol for verifying AI agent identities.
- How consortium fraud data sharing can create real, sometimes irreversible fraud blacklist consortium risk when a label gets attached to the wrong entity.
- A subscription chargebacks story involving an antivirus company that charged customers for software that did nothing at all.
- Why every new payment technology, from ACH to stablecoins, follows the same pattern: fraud arrives before the guardrails do.
You should listen to this episode if you:
- Work in payments, fraud risk, or chargeback management and want to understand where stablecoin fraud risk and agentic commerce actually intersect.
- Are responsible for card network relationships or dispute strategy and want to understand the chargeback liability gap in agent-initiated purchases.
- Are evaluating identity verification strategies and want a real critique of device-based identity as a long-term solution.
- Participate in a fraud consortium and want to better understand the risk and responsibility that comes with labeling data.
- Are trying to get ahead of new payment technology fraud adoption instead of reacting to it after losses show up.
- Want a grounded, practitioner-level conversation about crypto fraud and payment fraud that goes beyond the hype cycle.
Episode notes
Stablecoins are an infrastructure upgrade, not just a new currency
Dave explains why stablecoin fraud risk needs to be understood separately from Bitcoin fraud history. Where Bitcoin functions as a volatile store of value, stablecoins are pegged to the dollar and behave more like a settlement layer, one that makes stablecoin unit economics viable at a scale traditional card and ACH rails can't match.
- Stablecoin transactions can settle for a fraction of a cent, compared to interchange and processing costs that make micropayments impossible on card rails today.
- This unlocks micropayment fraud economics previously unavailable to both legitimate businesses and bad actors.
- ACH settlement fraud risk remains a factor for larger transactions, since multi-day settlement windows leave merchants exposed to disputes long after funds have moved.
Agentic commerce risk lives in the transactions nobody's watching
Rather than focusing on big-ticket agentic e-commerce purchases, Dave argues the real fraud exposure is in low-dollar transaction fraud, the repetitive, low-consideration purchases people want automated entirely.
- High-consideration purchases involve discovery and enjoyment, which limits how much agents will actually replace human decision-making.
- Low-dollar, repetitive purchases are where agentic commerce is likely to scale fastest, and where per-transaction fraud losses become too small to investigate individually.
- At scale, thousands of small fraudulent transactions can add up to more loss than a smaller number of high-dollar ones, while drawing far less scrutiny.
Chargeback liability has no framework for agent-initiated purchases
One of the most concrete examples in this episode is a chargeback where the cardholder admitted an AI agent made the purchase, and the merchant still had no way to fight it.
- No card network currently has compelling evidence chargeback rules built for agent-initiated transactions.
- Liability continues to default to the merchant, following the same framework built for mail and telephone orders decades ago.
- Without a clear liability framework, this gap is likely to widen as agentic e-commerce adoption grows.
Identity and consortium data both carry consequences that aren't fully understood yet
Device-based identity verification remains the industry default, but Dave points out its limits, and the real-world risk of consortium fraud data sharing when a label sticks to the wrong person or entity.
- Device signals are increasingly easy for criminals to spoof or recycle.
- An emerging Ethereum-based protocol aims to give AI agents their own verifiable identifiers, though the space is still early.
- A single fraud label shared across a consortium can trigger fraud blacklist consortium risk that's nearly impossible to reverse, even when the label was wrong.
Key takeaways
- Stablecoin fraud risk is fundamentally different from traditional Bitcoin fraud history, since stablecoins function less like a speculative asset and more like an upgrade to the existing financial technology stack.
- Stablecoin unit economics make it possible to process transactions worth a fraction of a cent, opening the door to micropayment fraud economics that today's card networks and ACH rails were never built to handle.
- Agentic e-commerce is most often framed around high-consideration purchases like jackets or concert tickets, but the real exposure lives in low-dollar transaction fraud: the bread, milk, and eggs of everyday commerce.
- Chargeback liability gaps already exist when an AI agent makes a purchase a cardholder later disputes, and no card network currently has compelling evidence chargeback rules built for agent-initiated transactions.
- Identity verification in agentic commerce still leans heavily on device signals, which criminals have already learned to defeat, raising real questions about how to bring physical-world trust into digital, agent-driven transactions.
- Consortium fraud data sharing carries real consequences. A single fraud label can trigger fraud blacklist consortium risk that follows an entity across an entire ecosystem, sometimes permanently and sometimes incorrectly.
Final takeaway
Every new payment technology invites fraud before the guardrails exist, and stablecoins and agentic commerce are no exception. The institutions that get ahead of stablecoin fraud risk won't be the ones reacting once losses show up. They'll be the ones asking, right now, what identity, liability, and consequence actually look like in a world where a transaction might not involve a human at all.
Episode resources & links:
Connect with Dave G | LinkedIn
Senior Risk Leader
Former Special Agent of US Treasury
Connect with Karisse Hendrick | LinkedIn
Host of the Fraudology Podcast
Award-Winning Cyberfraud Expert
Ecommerce Fraud Prevention Consultant
Startup Advisor, Keynote Speaker, and
Consultant to Fortune 500 merchants



























