# $68 billion stolen, America faces the AI scam tsunami > A report published on June 30, 2026 by Gallup and the Stop Scams Alliance reveals that 15 million Americans were victims of - Author: Maxime Marquette - Publisher: MadMax (https://mad-max.co) - Section: Editorial - Published: 2026-07-06 - Canonical URL: https://mad-max.co/en/article/68-milliards-de-dollars-voles-l-amerique-face-au-tsunami-des-arnaques-ia ## Introduction: a bill that makes your head spin ### A report that confirms the worst fears A report published on **June 30, 2026** by **Gallup** and the **Stop Scams Alliance** reveals that **15 million Americans** were **victims** of scams in **2025**, for total estimated losses of **$68 billion**, or roughly **$186 million a day**. That figure alone exceeds the combined annual budget of several U.S. federal agencies, and it lands at a moment when most households already feel squeezed by everyday costs, which makes the scale of this theft even harder to stomach. The most troubling part of this report remains the growing role played by **artificial intelligence**: **12%** of successful scams in **2025** involved AI tools or **deepfakes**, a share that would have seemed unthinkable just three years ago, back when most fraud still relied on clumsy emails and obviously fake phone scripts that a careful reader could usually spot. ### A survey conducted on a large sample The survey, conducted among **5,173 American adults** between **January 8** and **February 18, 2026**, reveals that **6%** of American adults were scammed last year, and that **24%** of them have already been victims of a scam at least once in their adult life. This level of methodological detail, rare for this type of survey, gives the **Gallup** and **Stop Scams Alliance** report particular credibility, reinforcing the idea that these figures are not a rough **estimate** but a rigorous measurement of a rapidly expanding **phenomenon** that touches nearly every demographic group, from retirees managing their savings to young adults navigating their first independent bank accounts. *A figure as precise as $186 million stolen every day forces us to ask how much longer American authorities can treat digital fraud as a secondary problem rather than a **national emergency**.* *I will say it up front: this report is not just another statistic, it is an alarm bell on how fast **artificial intelligence** is transforming economic **crime** in America, and I fear the **regulatory** response will never keep pace.* ## How modern **fraudsters** operate ### Fake tech support, weapon number one Fraudsters most often pose as **technical support** employees, **bank** representatives or **government** officials to win their victims' trust, a method that exploits consumers' growing technological confusion with tools they understand less and less, especially as banking apps, verification codes and automated alerts multiply and blur into a constant stream of notifications that few people fully parse before reacting. **Fraudulent websites** are involved in **40%** of recorded scams, while phone calls, texts and emails play a role in nearly **half** of reported cases according to the report. ### Money sent directly, with no way back In **49%** of scams, victims were led to send **money directly** through platforms like **Zelle** or **PayPal**, instant payment systems that make recovering funds virtually impossible once the transaction goes through. *What worries me most is how ordinary the methods are: you don't need technological genius to scam someone, just a bit of nerve and a sufficiently convincing AI-generated **voice clone**.* ## Artificial intelligence, the new tool of manipulation ### Voice cloning and fake endorsements The report documents the growing use of **voice cloning**, **fake celebrity endorsements** and **AI-generated impersonations** to deceive victims, techniques that make traditional scams infinitely more believable than before, since the audio or video evidence a skeptical victim might once have demanded can now be manufactured convincingly within minutes. These **deepfakes** can now simulate the voice of a loved one in distress or that of a company executive giving an urgent order, completely blurring the line between reality and **digital manipulation**. ### A likely undercount of the phenomenon The report explicitly notes that the real share of AI-driven scams is probably **underestimated**, since many victims do not even realize artificial intelligence tools were used against them. *I think this 12% figure is only the tip of the iceberg, and the true scale of AI-assisted **fraud** still largely escapes us for lack of sufficiently robust **detection** tools.* ## The human toll behind the numbers ### Significant **financial** damage for victims Among recorded victims, **21%** report having suffered **severe financial hardship** as a result of the scam, while an additional **25%** report moderate financial hardship, figures that reflect an economic impact far from trivial for affected households, many of whom lost retirement savings or emergency funds they had spent years building up. Even more striking, **73%** of victims say the scam had a negative impact on their **mental health** or overall well-being, a reminder that these economic crimes leave marks far beyond the bank account. ### A **trauma** too often minimized This psychological dimension remains largely absent from public debate on fraud, even as the **Gallup** report confirms that **emotional distress** affects the vast majority of scam victims, far beyond mere material losses. *We always talk about the billions lost, almost never about the shame and anxiety these scams leave behind, and I think that omission says a lot about our collective tendency to treat fraud as a mere accounting problem.* ## Why the **West** must accelerate its technological response ### A race between attackers and defenders This report confirms a reality that **cybersecurity** experts have been repeating for years: **artificial intelligence** benefits **criminals** as much, if not more, than the companies meant to protect consumers, a worrying asymmetry in the global technology race, since offensive tools tend to spread faster than the defensive systems designed to counter them. If the **West** wants to keep its lead in AI development, it must also invest massively in fraud detection tools, or risk seeing this **technology** turn durably against its own citizens. ### The role of **payment platforms** and **banks** Platforms like **Zelle** and **PayPal**, heavily used in fraudulent transfers, must strengthen their **verification** mechanisms, a responsibility these tech companies can no longer afford to keep offloading entirely onto consumers. *I firmly believe the responsibility of these payment platforms is far too diluted today, and that a stricter regulatory framework is needed before these colossal sums become the norm rather than the exception.* ## What this reveals about consumer **vulnerability** ### A poorly calibrated **digital trust** The success of these scams reveals a digital trust that is often poorly calibrated among **American consumers**, who struggle to distinguish legitimate communication from a sophisticated AI-assisted fraud attempt, particularly when the message arrives at a stressful moment and demands an immediate response. This vulnerability especially affects people least familiar with new technologies, but the report notes that even savvy users can be fooled by sufficiently elaborate **deepfakes**. ### **Digital literacy**, the missing link Faced with this reality, digital literacy education for citizens remains largely insufficient in the United States, a glaring gap even as the tools used by fraudsters become more accessible and more convincing every year. *I remain convinced that without a massive digital literacy effort starting in schools, every new generation of AI tools will produce its own crop of new victims, no matter how much progress is made in technical detection.* ## A national security issue as much as an economic one ### Sums that far exceed simple street crime With **$68 billion** in annual losses, AI-assisted fraud has reached a scale that far exceeds traditional crime, now resembling a matter of **national economic security** for the United States, comparable in magnitude to the losses attributed to entire categories of white-collar crime that receive far more sustained law-enforcement attention. These colossal sums potentially finance organized, sometimes **transnational**, criminal networks that exploit regulatory gaps between **jurisdictions** to escape prosecution. ### The need for stronger **federal coordination** Given the scale of this phenomenon, stronger federal coordination among financial regulatory agencies, **cybersecurity** authorities and tech companies looks like an urgent necessity rather than merely one option among others. *I think **Washington** must treat this issue with the same urgency as critical infrastructure cybersecurity, because at the current pace, these scams will eventually erode trust in the American digital economy itself.* ## The regulatory lag against technological acceleration ### Laws designed for a pre-AI world Most American laws governing financial fraud were designed before the explosion of **generative artificial intelligence** tools, a time lag that leaves **regulators** constantly one step behind criminals capable of adopting new technologies in a matter of weeks, while legislative reform typically takes years to move through committees and votes. This regulatory lag is not unique to the **United States**: most **Western democracies** struggle to evolve their **legal framework** as fast as criminals adapt their methods, a chase in which the advantage remains structurally on the side of the fraudsters. ### Initiatives that remain too fragmented Some federal agencies, including the **Federal Trade Commission**, have started publishing specific alerts about deepfake-related scams, but these initiatives remain scattered and lack the coherent national coordination needed to match the scale of the phenomenon described in this report. Without a coordinated legislative effort among **Congress**, financial regulators and **tech giants**, each new generation of **artificial intelligence** tools risks widening the gap between the sophistication of fraudsters and the real capacity of institutions to protect America's most vulnerable consumers. *I notice, once again, that American technology regulation moves in fragmented fits and starts rather than through a coherent strategy, a luxury the current pace of AI **innovation** no longer allows.* ## Conclusion: a battle for trust that is only beginning ### An alarm bell Washington can no longer ignore This report from **Gallup** and the **Stop Scams Alliance** should serve as an alarm bell strong enough to trigger a serious regulatory mobilization, at a moment when artificial intelligence is transforming fraud methods just as quickly as the **legitimate** uses of this technology. ### Individual vigilance will not be enough However vigilant American citizens may try to be, the growing sophistication of deepfakes makes it wishful thinking that simple individual caution alone will curb this phenomenon without a structural strengthening of technological and regulatory protections. The real test of the coming years will be whether **American institutions**, from federal regulators to the tech companies themselves, can catch up with criminals who, for their part, wait for no legislative approval before deploying their new artificial intelligence tools. **By Maxime Marquette, columnist** ## Columnist's transparency note ### Editorial stance I am not a journalist but a **columnist and analyst**. My expertise lies in observing and analysing the geopolitical, economic and strategic dynamics that shape our world. My work is to take political strategies apart, to understand global economic movements, to put the decisions of international actors in context and to offer analytical perspectives on the changes that are redefining our societies. I do not claim the cold objectivity of traditional journalism, which stops at reporting facts. **I claim analytical clarity**, rigorous interpretation and a deep understanding of the complex issues that concern us all. My role is to give meaning to the facts, to place them in their historical and strategic context, and to offer a critical reading of events. ### Method and sources This text keeps the basic distinction between **verified facts and interpretive analysis**. The rule never changes: a factual claim is published only when a verifiable source supports it, and the sources this article actually used are listed under **Sources**, never here. **Primary source families** used by the publication, when the story has them: official statements from governments and international institutions, public statements by political leaders, reports from intergovernmental organisations, dispatches from recognised international news agencies. **Secondary source families**: specialised publications, internationally recognised news media, analyses from established research institutions, reports from industry organisations. When an article cites statistical, economic or geopolitical data, it comes from the institutions that produce it (intergovernmental organisations, central banks, national statistics offices), and the exact institution is named under **Sources**. ### Nature of the analysis The analyses, interpretations and perspectives in the analytical sections of this article are a **critical, contextual synthesis** based on the information available, the trends observed and the expert comments cited in the sources consulted. My role is to interpret these facts, to set them in the context of today's geopolitical and economic dynamics, and to give them a coherent meaning within the larger story of the changes shaping our time. These analyses reflect expertise built through continuous observation of international affairs and an understanding of the strategic mechanisms that drive global actors. This article describes a documented state of affairs on its publication date, not a prediction: later developments may shift its outlook. No update is promised in advance; when an article is corrected or completed, the change is dated in the text. ## Sources ### Primary sources - Yahoo Finance — AI fraud explodes, 15 million Americans scammed in 2025, July 1, 2026 - The Hill — AI and deepfakes fuel the scam wave, July 1, 2026 ### Secondary sources - Fars News — survey finds AI deepfakes driving $68 billion U.S. scam epidemic - Cyber Daily — deepfake scams increase 2,000% in three years - CNBC — technology news - Reuters — technology news --- Source: Maxime Marquette, MadMax. When citing, name the author and link https://mad-max.co/en/article/68-milliards-de-dollars-voles-l-amerique-face-au-tsunami-des-arnaques-ia