Bombshell report exposes how Meta relied on scam ad profits to fund AI

Bombshell report exposes how Meta relied on scam ad profits to fund AI

Recent internal documents have brought to light Meta's troubling approach to handling scam advertisements across its platforms. According to a detailed report from Reuters, the company has reportedly generated billions by neglecting to address fraudulent ads, specifically targeting users who are more likely to engage with them. The investigation spans five years, uncovering practices that have allowed scammers to exploit users on Facebook, Instagram, and WhatsApp. Internal communications indicate that Meta was reluctant to swiftly eliminate accounts linked to scams, fearing that such actions could lead to a significant drop in revenue essential for funding its artificial intelligence initiatives. Instead of taking immediate action against these deceptive accounts, Meta permitted what they termed “high value accounts” to accumulate over 500 violations without facing closure. This approach allowed Meta to maximize ad revenue, as the company charged higher rates to these scammers, effectively penalizing them for their actions. Moreover, Meta's own systems have been shown to facilitate the targeting of users likely to click on these scam ads. Reports suggest that users across Meta's platforms encounter an astonishing 15 billion “high-risk” scam ads daily, in addition to 22 billion organic scam attempts. This staggering figure underscores the prevalence of misleading advertisements that aim to promote fraudulent products or dubious investment schemes. In a projection from last year, Meta estimated that around $16 billion—approximately 10% of its total revenue—would be derived from these scam ads. Among the various types of scams, “high-risk” ads often promote fake medical products or direct users to questionable online casinos. Meta has expressed particular concern over “imposter” ads that impersonate celebrities or well-known brands, fearing that failure to address these scams promptly could jeopardize advertising and user engagement on its platforms.

Sources : Ars Technica

Published On : Nov 06, 2025, 19:35

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