Entrepreneur Mark Cuban has amplified claims that Meta knowingly allowed, and arguably profited from, fraudulent advertising on Facebook, a substantial portion of which reportedly relies on AI-generated deepfakes. These ads feature fabricated endorsements from celebrities or business figures to promote financial scams, fake cryptocurrency schemes, or dubious health products. According to internal documents cited in the report, the company had projected roughly $16 billion in revenue tied to this category of problematic content, representing a meaningful share of its overall advertising income.
The story fits into a broader conversation about platform accountability as AI-generated content becomes easier to produce and increasingly convincing. Deepfakes allow scammers to bypass user skepticism by impersonating recognizable public figures, a tactic that has already been documented multiple times involving unauthorized use of celebrities and executives to push fake financial products.
Cuban, known for his outspoken criticism of major tech platforms, is adding public pressure on Meta, which has so far downplayed the scale of the issue by pointing to its automated moderation systems. If the figures cited prove accurate, they would point to a significant gap between the technical tools available to detect such content and the company's actual economic incentive to remove it swiftly.
The controversy could fuel calls for stricter oversight of AI-amplified advertising on social platforms, particularly in the United States, where regulation remains far less developed than in the European Union. It also highlights a structural tension: ad platforms derive a growing share of revenue from unscrupulous advertisers exploiting AI content-generation tools, raising doubts about their genuine willingness to address the problem at its source.