In her analysis, Stephanie O’Connor from Wind River Payments highlights a critical issue in agentic commerce: the inability of AI agents to identify suspicious pricing or fraudulent websites. Traditional fraud detection tools are based on human shopping behaviors, but AI agents can closely mimic these behaviors, making it challenging to differentiate between legitimate and fraudulent transactions. As AI-driven purchasing becomes more prevalent, small and medium-sized businesses (SMBs) bear the brunt of this fraud exposure. Automated price optimization pressures SMBs, which often compete on service and trust, rather than price. Additionally, counterfeit listings and cloned websites pose significant risks, with AI agents lacking the discernment needed to identify them. To mitigate this, payment providers must update fraud models, establish machine-readable merchant verification standards, and adapt liability frameworks for AI-initiated purchases. O’Connor emphasizes that without these infrastructure changes, the shift to AI-driven commerce may further disadvantage small businesses in the market.
Source link
Share
Read more