AI-Powered Fraud Is Surging
US insurance carriers are facing a "dual squeeze" from rising claims severity and a surge in sophisticated, AI-powered fraud. Gallagher Bassett reports that deepfakes and synthetic identity attacks are no longer theoretical and are actively inflating loss ratios. This comes as a new study finds AI has helped accelerate phishing scams, which are up 85% year-over-year, putting extreme pressure on SIU and claims teams.
The total cost of insurance fraud in the U.S. has surged to an estimated $308.6 billion annually, according to the Coalition Against Insurance Fraud. This staggering figure, a significant increase from the long-cited $80 billion, drives up costs for consumers, with the FBI estimating that the average American family pays between $400 and $700 in extra premiums each year. Generative AI is supercharging these fraudulent activities by making it simple to create fake evidence. Fraudsters now use AI to generate realistic images of vehicle damage that never happened, create synthetic medical records for phantom injuries, and even produce fake engineering reports and repair invoices. This has led to a 300% rise in claims involving manipulated images and documents, a trend that is quickly becoming a major new scam for the industry. Voice cloning and deepfake videos represent a new frontier in claims and underwriting fraud. Pindrop, a voice security firm, reported a 475% spike in synthetic voice fraud attacks against insurers in 2024. Criminals use this technology to impersonate policyholders, adjusters, or even doctors over the phone, while deepfake videos are being used to create bogus telehealth consultations and fake witness statements. Synthetic identity fraud, where criminals combine real and fake data to create entirely new, non-existent policyholders, is now the fastest-growing financial crime. This type of fraud is estimated to account for up to 80% of new account fraud and is used to take out policies—often life insurance—pay premiums to establish legitimacy, and then file large fraudulent claims. In response, Special Investigation Units (SIUs) are in an arms race, adopting their own AI-powered tools to fight back. These systems analyze vast datasets to detect anomalies, flag suspicious claim patterns in real-time, and identify complex fraud rings that would be missed by manual reviews. This allows investigators to focus on authenticating digital evidence and managing the increasingly complex, AI-driven cases.
