58% of respondents have been exposed to refund hacks disguised as influencer content.

Of the 1,100 government fraud fighters surveyed, nearly all claimed their agencies were victims of AI-powered fraud schemes.

Nearly a third face significant resource limitations in fighting FWA.

18% of respondents said they’d been exposed to influencers recommending retail fraud online.

Among those already using AI to confront FWA, nearly 40% cite better prioritization of fraud alerts and quicker identification of FWA as benefits.

The majority (82%) of respondents said they had heard about retail fraud from friends, family, colleagues, and classmates.

Current AI adoption rates for addressing FWA are relatively low, with about half of those surveyed using AI.

Survey respondents estimated that approximately 16% of budgets could be saved by tackling fraud, waste, and abuse (FWA) in general.

The use of network analysis for fraud detection is expected to expand from 32% to 87%.

6% of respondents knew someone working in fulfilment services involved in insider fraud

12% of respondents knew someone working at a retailer involved in insider fraud.

Slightly over a quarter of those surveyed are using Generative AI (GenAI) for addressing FWA.

37% of respondents said they had heard about retaile fraud from friends.

18% of respondents claimed to personally know someone involved in insider fraud.

Respondents cited gaps in analytical skills (48%), technology (40%), and budgets (24%) among the limiting factors in fighting FWA.

The majority (82%) of respondents said they had heard about retail fraud from friends, family, colleagues, and classmates.

15% of respondents said they had heard about retaile fraud from family.

9% of respondents said they had heard about retaile fraud from classmates.

The greatest benefit cited ( 57% ) among those already using AI is greater workforce efficiency.

Fraudsters were about four times more likely to use stolen identities instead of synthetic identities.