34% of organizations are testing with plans to deploy AI at the edge within the next 24 months.

30% of organizations have fully deployed AI at the edge.

In retail, CIOs reported higher adoption of multimodal AI (68%).

Finding the right technology vendors and partners of Edge AI is a challenge for 37%.

A staggering 96% of respondents said FWA has negatively impacted citizen trust in their agency and its programs.

Privacy and security (48%) and ensuring their organization uses AI responsibly (43%) were among the top three challenges keeping government fraud fighters up at night

In March, Notion accounted for 93% of all blocked generative AI queries, significantly more than the combined number for Microsoft Copilot, SwishApps, Quillbot, and OpenAI.

Only 11% of organizations fully trust AI for mission-critical tasks.

Larger businesses (500+ employees) are more aggressive, with 39% reporting significant budget increases in Edge AI compared to 23% of mid-sized organizations (250-500 employees).

Multimodal AI is widely deployed in the cloud (59%).

LLMs see somewhat less adoption at the edge (47%).

In retail, CIOs reported lower interest in edge-deployed LLMs (32%).

Security risks and data protection concerns represent the biggest Edge AI implementation challenge (42%).

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

97% expect to use GenAI within the next two years.

Only 3% of CIOs report no current plans to implement Edge AI.

78% of respondents believe AI will improve threat intel sharing within their organization.

22% of organizations are actively in production with limited deployment of AI at the edge.

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

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