I am the CEO of Cybersecurity, advising over 9,000 agencies, and Sam Altman is wrong that an AI fraud crisis is coming. It’s already here

It’s already happening and not just coming for the bank. It’s attacking every part of the government now.

Each week, AI-generated fraud sucks up millions of people from public interest systems, disaster relief funds and unemployment programs. Criminal networks already outweigh obsolete fraud defenses, including single-layer tools such as easily spoofed face recognition, using deepfakes, synthetic identities, and large-scale language models.

We got a glimpse of this during the pandemic. The fraud exploited gaps in the state’s system and stole hundreds of billions of unemployment benefits. It wasn’t just people wearing masks to bypass facial recognition. It was a fake AI-generated identities, audio clones, overwhelming documentation that had not been constructed to detect them. Today, these tactics are more advanced and fully automated.

I work with over 9,000 agents nationwide. As me testimony In front of the US House of Representatives Two times What we are seeing on the field this year is clear. Scams are faster, cheaper and more scalable than ever before. National and cross-border organized crime groups use generator AI to mimic identity, generate synthetic documents, and flood the system with fraudulent claims. They’re not just stealing from the government. They steal from Americans.

Inspector of Small Business Bureau It is estimated that nearly $200 billion has been stolen at present The unemployment insurance program during the pandemic era became one of the biggest fraud losses in US history. Medicaid, IRS, TANF, chips, and disaster relief programs face similar vulnerabilities. We’ve also seen this firsthand in our work alongside the US Secret Service protecting USDA snap The programme is a buffet of billions of stolen con artists each month. In fact, one fraud ring in a day using AI can file tens of thousands of fake claims in multiple states. Most of them are automatically processed unless flagged.

We have reached the turning point. As AI continues to evolve, the scale and refinement of these attacks will rapidly increase. It’s like Moore’s Law I predicted that Computing power is doubled Every two years, we now A new kind of exponential growth. Intel co-founder Gordon Moore originally described this trend in 1965, leading decades of innovation. I believe that I might soon recognize similar principles of AI, which I call “Altman’s Law”: Every 180 days, my AI ability is twice as high.

If we don’t modernize our defenses at the same pace as technological advances, we will forever outweigh.

What we desperately need is smarter tools and infrastructure, not bureaucracy.

This means not only face scans and passwords, but also advanced identity verification. This means using real-time data, behavioral analysis, and interjudicial tools that can flag money abnormally before it leaves. It also means reviving what is already working. Tools like the country’s accuracy clearinghouse flagged billions of dollars in benefits claims across the state’s lines before it was closed.

AI is a multiplier of force, but it is easier to weaponize than it can be used for protection. Nowadays, criminals use it more than we do. Until that changes, our most vulnerable systems and those who rely on them remain exposed.

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