In collaboration with Veriff, a recent study has revealed a concerning trend – Americans struggle to differentiate between real and AI-generated content. This issue extends beyond media literacy, posing a significant threat to how businesses authenticate identities online.
According to a survey conducted by Veriff and Kantar in 2026, involving 3,000 participants from the United States, the United Kingdom, and Brazil, Americans scored a mere 0.07 on a scale measuring their ability to identify deepfakes. This lack of discernment has serious implications for businesses that rely on image and video-based identity verification.
The inability to distinguish authentic visual content directly impacts the verification of identities online. This means that users engaging with digital services may be unable to verify the authenticity of the individuals they are interacting with. This issue is particularly prevalent in the U.S., where synthetic identity fraud is resulting in significant financial losses annually.
The study also highlighted a group of users, approximately 7%, who struggle to detect deepfakes but remain overly confident in their abilities and rarely verify the content they encounter. This small yet high-risk cohort represents millions of vulnerable accounts susceptible to fraudulent activities.
Given the growing sophistication of AI-generated content, traditional methods of relying on human judgment for verification are no longer sufficient. Businesses must prioritize automated verification technologies to combat the increasing threat posed by deepfakes.
Despite the U.S. being a hub for AI development, American consumers exhibit the lowest familiarity with deepfakes compared to other markets surveyed. This lack of awareness increases the vulnerability of individuals to fraudulent activities involving synthetic identities.
Furthermore, the overconfidence displayed by users in their ability to detect deepfakes creates a dangerous vulnerability that fraudsters can exploit. Businesses that continue to rely on manual review processes or customer self-attestation are at risk of falling victim to identity fraud.
The study also revealed that while Americans are concerned about deepfakes, they tend to trust social media platforms and digital services to manage AI-generated content. This misplaced trust may lead to reduced vigilance among individuals at a time when the threat of deepfakes is escalating.
In light of these findings, the case for automated identity verification has never been stronger. Organizations need to shift towards AI-powered verification systems that can detect synthetic media before human intervention is required. This proactive approach is essential to safeguarding customer trust in an evolving landscape of synthetic media.
In conclusion, the reliance on unassisted human judgment for identity verification is no longer viable. The future lies in automated verification processes that do not depend on human perception to distinguish between real and fake identities. By embracing technology-driven solutions, businesses can effectively combat the growing threat of deepfakes and protect their customers from identity fraud.