Episode Overview

Podcast: Your Money Minute
Episode: AI Looking for Fake Returns 2/2/26
Host: Jessica Ettinger (CNBC)
Air Date: February 2, 2026
Theme:
This brisk episode delivers a sharp look at how artificial intelligence (AI) is being deployed to combat the rise in fraudulent holiday merchandise returns—a phenomenon costing retailers billions annually. The episode spotlights real-world scams, retailer responses, and how fighting fraud can benefit all consumers.

Key Discussion Points & Insights

The Scale of the Return Problem

• Holiday Returns Surge:
  • [00:04] Jessica Ettinger frames the season as "Returnuary," highlighting the annual deluge of post-holiday returns.
  • According to the National Retail Federation (NRF), around 17% of all holiday purchases are returned, though nearly 1 in 10 returns involve fake items.
• Main Scam Outlined:
  • Fraudsters purchase counterfeit versions of branded or designer goods, then attempt to return these fakes (often unboxed) for cash or store credit at participating retail locations.

The Role of Return Bars & Third-Party Services

• Return Infrastructure:
  • [00:37] David Sobey, founder of Happy Returns (owned by UPS), notes that their service processes unboxed returns for brands like Gap, Shein, Under Armour, and hundreds more at 8,000+ return bars found at Ulta, Staples, and UPS locations.

How AI Is Fighting Return Fraud

• AI Detection in Action:
  • [00:54] Courtney Reagan from CNBC explains that AI analyzes returned items for subtle differences, catching minor deviations the human eye might miss (e.g., button placement, neckline, fabric type).
  • AI solutions are now essential in combating sophisticated scammers.
• Quote:
  • [00:55] Courtney Reagan:

    "AI is trying to look for any subtle differences, any decoy returns that a shopper may be trying to slip past the merchant. Sometimes AI catches subtle details that the human eye might not. So it could be the placement of a button, it could be the neckline, it could be the fabric type."

The Consumer Impact

• Price Pressure Relief:
  • [01:11] Jessica Ettinger points out that catching more fakes helps all consumers:

    "The more fakes that are found, the less consumers will have to pay overall as retailers price their items to cover all of that return fraud they're dealing with."

  • Lower fraud means retailers are less likely to inflate prices to offset losses.

Where to Learn More

• Jessica Ettinger encourages listeners to read more at CNBC.com for a deeper dive.

Notable Quotes & Memorable Moments

• "Returnuary is in full swing. Retailers definitely have a return problem and it's costing them."
  — Jessica Ettinger (00:04)

• "AI is trying to look for any subtle differences, any decoy returns that a shopper may be trying to slip past the merchant..."
  — Courtney Reagan (00:55)

• "The more fakes that are found, the less consumers will have to pay overall..."
  — Jessica Ettinger (01:11)

Important Segments with Timestamps

• 00:00–00:16 – [Jessica Ettinger]: Overview of return fraud and its scale
• 00:16–00:37 – [Jessica Ettinger]: Methodology of common return scams
• 00:37–00:48 – [David Sobey]: Scope of Happy Returns operations
• 00:48–01:11 – [Courtney Reagan]: AI detection explained, specific examples
• 01:11–01:25 – [Jessica Ettinger]: Why fighting fake returns helps consumers

Conclusion

This episode delivers an eye-opening, concise rundown of how modern technologies like AI are stepping up to tackle fraudulent returns—a costly problem for retailers and consumers alike. By highlighting both the methods scammers use and the high-tech defenses now in place, CNBC’s Your Money Minute offers practical insight for anyone interested in the retail ecosystem and its financial impact.