Consumer Concerns Rise as AI-Driven Mobile Fraud Threatens Holiday Shopping Experience

As the holiday shopping season approaches, Americans are gearing up for a surge in mobile spending during this lucrative time. However, recent findings from Appdome's fifth annual Consumer Expectations of Mobile App Security Report indicate that the increased excitement for shopping comes with a growing sense of anxiety over mobile fraud. The study reveals that synthetic fraud, identity theft, and AI-driven scams have become critical concerns for consumers, significantly influencing their shopping habits amidst the busy Black Friday season.

The Alarming Statistics

According to the latest report, an overwhelming 63.7% of Americans express the highest concern over synthetic fraud while shopping via mobile apps. This concern is translating into behavioral changes; 44.7% of consumers admit to deleting or abandoning apps entirely due to fears around potential identity theft. Additionally, nearly one in five, or 19%, report ceasing to use certain apps after encountering fraudulent transactions. Such findings paint a concerning picture for digital retailers and mobile service providers as they prepare for the shopping rush.

With statistics from industry leaders like NordLayer, SEON, and Kaspersky highlighting a staggering increase in fraud attempts—ranging from 22% to over 400% during Cyber Week—Appdome's research indicates that the fear of fraudulent activity is palpable among consumers eager to shop.

AI-Driven Scams on the Rise

In 2025, the nature of threats consumers face has evolved, with AI-driven scams emerging as a primary force behind mobile fraud. These include alarming tactics like deepfake payment approvals, vishing attacks, and bot-driven account takeovers, making the mobile shopping experience fraught with risks.

As noted in the report, 51% of respondents perceive AI as a substantial threat to mobile app safety, yet only a mere 10.6% feel confident that these apps can mitigate such risks. This has created a significant trust gap, often referred to as the