
I’m a cybersecurity CEO who advises over 9,000 agencies and Sam Altman is wrong that the AI fraud crisis is coming—it’s already here
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We may soon recognize a "Moore's Law"-style principle for AI that I call “Altman’s Law”: every 180 days, AI capabilities double.
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July 31, 2025
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Fortune
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ary·Artificial IntelligenceI’m a cybersecurity CEO who advises over 9,000 agencies and Sam Altman is wrong that the AI fraud crisis is coming—it’s already hereBy Haywood TalcoveBy Haywood Talcove Haywood Talcove is the CEO of the Government Group at LexisNexis Risk Solutions, where he works with federal and state agencies on fraud prevention.Will there be an "Altman's law" AI?Andrew Harnik/Getty ImagesSam Altman recently warned that AI-powered fraud is coming “very soon,” and it will break the systems we rely on to verify identity
It is already happening and it’s not just coming for banks; it’s hitting every part of our government right now
Every week, AI-generated fraud is siphoning millions from public benefit systems, disaster relief funds, and unemployment grams
Criminal networks are already using deepfakes, synthetic identities, and large language models to outpace outdated fraud defenses, including easily spoofed, single-layer tools facial recognition, and they’re winning
We saw a glimpse of this during the pandemic, when fraud rings exploited gaps in state systems to steal hundreds of billions in unemployment benefits
It wasn’t just people wearing masks to bypass facial recognition
It was AI-generated fake identities, voice clones, and forged documents overwhelming systems that weren’t built to detect them
Today, those tactics are more advanced, and fully automated
I work with over 9,000 agencies across the country
As I testified before the U.S
House of Representatives twice this year, what we’re seeing in the field is
Fraud is faster, cheaper, and more scalable than ever before
Organized crime groups, both domestic and transnational, are using generative AI to mimic identities, generate synthetic documentation, and flood our systems with fraudulent claims
They’re not just stealing from the government; they’re stealing from the American people
The Small Administration Inspector General now estimates that nearly $200 billion was stolen from pandemic-era unemployment insurance grams, making it one of the largest fraud losses in U.S. history
Medicaid, IRS, TANF, CHIP, and disaster relief grams face similar vulnerabilities
We have also seen this firsthand in our work alongside the U.S
Secret Service tecting the USDA SNAP gram, which has become a buffet for fraudsters with billions stolen nationwide every month
In fact, in a single day using AI, one fraud ring can file tens of thousands of fake claims across multiple states, most of which will be cessed automatically unless flagged
We’ve reached a turning point
As AI continues to evolve, the scale and sophistication of these attacks will increase rapidly
Just as Moore’s Law predicted that computing power would double every two years, we’re now living through a new kind of exponential growth
Gordon Moore, Intel’s co-founder, originally described the trend in 1965, and it has guided decades of innovation
I believe we may soon recognize a similar principle for AI that I call “Altman’s Law”: every 180 days, AI capabilities double
If we don’t modernize our defenses with the same pace as nological advancements, we’ll be permanently outmatched
What we desperately need is smarter tools and infrastructure, not more bureaucracy
That means layering advanced identity verification, not just facial scans or passwords
It means using real-time data, behavioral analytics, and cross-jurisdictional tools that can flag anomalies before money goes out the door
It also means reviving what has already worked: tools the National Accuracy inghouse, which flagged billions of dollars in duplicate benefit claims across state lines before it was shut down
AI is a force multiplier, but it can be weaponized more easily than it can be wielded for tection
Right now, criminals are using it better than we are
Until that changes, our most vulnerable systems and the people who depend on them will remain exposed
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