Google, Meta, Amazon, and several other major technology companies have signed onto a new international framework aimed at disrupting the industrial-scale scam operations that drain billions of dollars from consumers each year. The agreement, brokered under the Global Anti-Scam Alliance (GASA) and announced in recent days, represents the broadest voluntary commitment yet from Silicon Valley to coordinate against online fraud — a problem that has metastasized far beyond what any single company or government can contain.
The question isn’t whether the initiative sounds good. It does. The question is whether voluntary pledges from companies that profit from the very advertising and engagement mechanisms scammers exploit will translate into measurable harm reduction for the hundreds of millions of people targeted every year.
The Scale of the Problem — and Why It Took This Long
Online scams are no longer the province of clumsy phishing emails riddled with typos. Today’s fraud operations are sophisticated, multinational enterprises. They use AI-generated deepfakes of celebrities to sell bogus investment schemes. They deploy fake customer service numbers that appear in legitimate search results. They create counterfeit storefronts on major e-commerce platforms that vanish after collecting payment. And increasingly, they operate out of forced-labor compounds in Southeast Asia, where trafficking victims are coerced into running scam call centers.
The numbers are staggering. According to the Global Anti-Scam Alliance, consumers worldwide lost more than $1 trillion to scams in 2024. In the United States alone, the Federal Trade Commission reported that consumers lost over $12.5 billion to fraud in 2024, a sharp increase from $10 billion in 2023. Investment scams — many of them propagated through social media ads and search engine placements — were the single largest category of loss.
As CNET reported, the new pact brings together tech companies, financial institutions, and telecommunications firms under a shared set of principles for identifying, disrupting, and preventing scam activity across platforms. Google, Meta, Amazon, and Match Group are among the signatories. So are several major banks and telecom operators.
The framework calls for improved information sharing between companies, faster takedown of fraudulent content, and better consumer education. Participants have committed to working with law enforcement agencies and adopting standardized reporting mechanisms. GASA, which is headquartered in the Netherlands, will serve as the coordinating body.
It sounds comprehensive. But the details — and the enforcement mechanisms — remain thin.
Voluntary industry coalitions have a mixed track record at best. The Tech Against Terrorism initiative, launched in 2017, produced useful tooling for smaller platforms but struggled to hold the largest companies accountable for content moderation failures. The Christchurch Call, signed after the 2019 mosque shootings in New Zealand, generated pledges from many of the same tech firms now signing the anti-scam pact. Progress was real but incremental, and critics argued the commitments lacked teeth.
The anti-scam pact faces a similar credibility gap. There are no financial penalties for noncompliance. There’s no independent auditing body with the authority to compel transparency. And the companies involved have obvious financial conflicts: Meta earns revenue from the ads that scammers purchase, Google profits from the search placements that surface fraudulent sites, and Amazon collects fees from third-party sellers — some of whom are running counterfeit operations.
That doesn’t mean these companies are indifferent to fraud. They aren’t. Google has invested heavily in machine learning systems that detect and remove scam ads before they reach users, claiming to have blocked billions of bad ads annually. Meta has expanded its fraud detection teams and rolled out verification requirements for advertisers in financial services. Amazon has spent hundreds of millions on counterfeit prevention through its Project Zero and Transparency programs.
But the sheer volume of content flowing through these platforms means that even a small failure rate translates into millions of successful scams. A 99% detection rate sounds impressive until you realize that 1% of billions of ad impressions is still an enormous number of fraudulent messages reaching real people.
The AI Accelerant
What makes this moment different from previous anti-fraud efforts is the speed at which generative AI has supercharged scam operations. Creating a convincing fake website used to require at least rudimentary web development skills. Now it takes minutes. Producing a deepfake video of a trusted public figure endorsing a cryptocurrency scheme used to be technically demanding. Now consumer-grade tools can do it.
Scammers are early adopters. Always have been.
The proliferation of AI-generated scam content has overwhelmed traditional detection systems. Voice cloning enables fraudsters to impersonate family members in distress calls. Large language models produce grammatically flawless phishing messages in any language. AI-generated product reviews flood e-commerce platforms, making it harder for consumers to distinguish legitimate sellers from fraudulent ones.
And the targeting has grown more precise. Scammers scrape social media profiles to craft personalized approaches — a practice known as spear phishing when directed at corporations, but increasingly common against ordinary consumers. A retiree who posts about financial anxiety on Facebook may find themselves targeted with AI-generated investment ads within hours.
The pact’s signatories have acknowledged this escalation. Google, in particular, has pointed to its use of AI-powered defenses as a counterweight, noting that its systems now detect novel scam patterns faster than human reviewers could. Meta has similarly touted its automated detection capabilities.
But there’s an asymmetry at work. The companies building the AI tools that scammers exploit are the same companies now pledging to fight the resulting fraud. OpenAI, notably, is not listed among the pact’s signatories, despite the widespread use of ChatGPT and DALL-E derivatives in scam content production. Neither is Apple, whose App Store has faced criticism for hosting fraudulent financial apps.
The omissions matter. A coalition is only as strong as its weakest link, and scammers will naturally migrate to the platforms and tools with the least friction.
Regulators aren’t waiting for voluntary action to work. The European Union’s Digital Services Act, which took full effect in 2024, imposes significant obligations on large platforms to address illegal content — including scam advertising — with financial penalties of up to 6% of global revenue for noncompliance. The United Kingdom’s Online Safety Act includes provisions targeting fraudulent advertising. Australia has proposed sweeping scam prevention legislation that would make platforms and banks jointly liable for consumer losses.
In the United States, the regulatory picture is more fragmented. The FTC has enforcement authority but limited resources relative to the scale of the problem. Several states have pursued their own anti-fraud initiatives, creating a patchwork of rules that companies must comply with. Congressional action on comprehensive scam prevention legislation has stalled repeatedly.
This regulatory unevenness is precisely why industry coalitions like the GASA pact emerge. They allow companies to demonstrate proactive engagement, potentially forestalling more prescriptive government mandates. Whether that’s genuine commitment or strategic positioning depends on your level of cynicism — and on what the companies actually do in the coming months.
The financial sector’s involvement in the pact adds a potentially significant dimension. Banks and payment processors sit at the chokepoint of scam transactions. If a victim is tricked into sending money, it flows through financial infrastructure that can, in theory, be monitored and intercepted. Several UK banks have already implemented real-time fraud warnings during payment flows, and some have begun reimbursing scam victims under voluntary codes of practice.
Telecommunications companies are similarly positioned. Many scam operations rely on spoofed phone numbers and mass text messaging. The implementation of STIR/SHAKEN caller ID authentication protocols in the United States has reduced some forms of phone spoofing, but enforcement remains inconsistent, particularly for international calls originating from countries with minimal regulatory oversight.
The cross-sector nature of the GASA pact — tech, finance, telecom — is its most promising feature. Scam operations don’t respect industry boundaries. A single fraud scheme might involve a fake ad on Instagram, a spoofed phone call, a fraudulent payment through a banking app, and a money mule network that launders proceeds through cryptocurrency exchanges. Disrupting such operations requires coordination across all of these layers.
What Success Would Actually Look Like
The real test won’t come in press releases or signing ceremonies. It’ll come in data.
Are scam ad impressions declining on Google and Meta’s platforms? Are takedown times for fraudulent content getting shorter? Are consumer losses stabilizing or — more ambitiously — decreasing? Are the forced-labor scam compounds in Myanmar, Cambodia, and Laos being disrupted through coordinated intelligence sharing?
So far, the answers are mixed. Google reported removing over 5.5 billion ads in 2023 for policy violations, including scam-related content. But the total number of scam reports from consumers continues to rise. Meta has taken down millions of fake accounts linked to scam operations, yet new ones appear constantly. Amazon has blocked millions of suspicious product listings, but counterfeit complaints from both consumers and brands persist.
The pact needs measurable benchmarks. Not vague commitments to “work together” and “share information,” but specific, auditable targets with public reporting. How many cross-platform scam networks were identified and disrupted? How quickly? What was the consumer impact?
Without that transparency, the initiative risks becoming another well-intentioned declaration that generates favorable headlines and changes little on the ground.
There’s also the question of scope. The pact focuses primarily on consumer-facing scams — the fake ads, phishing messages, and fraudulent marketplaces that target individuals. But business email compromise, which the FBI estimates causes billions in annual losses, operates through many of the same channels. Supply chain fraud, procurement scams, and invoice manipulation schemes target enterprises but rely on the same infrastructure of spoofed communications and fake identities.
A truly comprehensive approach would address both consumer and business fraud in an integrated fashion. The current pact doesn’t appear to do that, at least not in its initial form.
Still, dismissing the effort entirely would be premature. The fact that direct competitors — Google and Meta, Amazon and other e-commerce platforms — are sitting at the same table and agreeing to share threat intelligence is meaningful. The involvement of financial institutions and telecom providers broadens the potential impact beyond what any tech-only coalition could achieve. And the backing of GASA, which has built credibility through its annual Global State of Scams reports, provides at least a framework for accountability.
The scam economy is industrialized, globalized, and accelerating. Fighting it requires something more than individual company efforts, however well-resourced. Whether this pact delivers that something remains an open question — one that will be answered not by the commitments made this week, but by the actions taken in the months and years ahead.
For the billions of people who use these platforms daily, the stakes couldn’t be higher. And for the companies that built the infrastructure scammers now exploit, the moral obligation is clear, even if the business incentives are complicated.
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