Socure’s profile of this group is a Gen Z male. AI-Fluent Fraudsters averaged under 30 years old, compared with 33.8 for traditional fraudsters and 35.5 for non-fraudsters. Nearly 63 percent were male, against 55 percent of traditional fraudsters. The AI-fluent group is also twice as likely to go ahead with a 50/50 chance of being caught. Socure suggests one reason for their greater frequency of fraud is reinforcement: when a fraudulent claim succeeds, the person learns what the system will accept, gains confidence and repeats the tactic elsewhere, a cycle AI makes easier to start and to scale. Financial hardship is not the leading motivation among AI-Fluent Fraudsters surveyed. Curiosity was the most cited motivation at 41.8 percent, ahead of economic hardship at 37.7 percent, and 22.3 percent said knowing someone who had committed fraud played a part. AI also appears to soften the sense of guilt. About 16.5 percent of AI-Fluent Fraudsters said using AI did not really feel like committing fraud, compared with 6.1 percent of traditional fraudsters. The report argues that just as Napster made stealing music feel invisible, AI makes fabricating documents and explanations feel outsourced. Socure’s sharpest claim is that AI is creating fraudsters, not just equipping existing ones.