55% of African Cybercrimes Now Involve AI, Warns INTERPOL

Artificial intelligence has not only transformed the way we code or write an email. It has also changed the way scams are executed. According to INTERPOL's latest report, published on August 3, AI is now involved in 55% of cybercrimes reported on the African continent. Crypto scams are among the methods that benefit the most, driven by tools capable of generating fake profiles, cloned voices, and nearly undetectable phishing campaigns.

Key points from this article:

• INTERPOL revealed that AI is now involved in 55% of cybercrimes in Africa, with a staggering increase in financial losses.
• The report highlights a concerning gap between the scale of AI-driven fraud and the preparedness of African law enforcement.

The figures are staggering. According to INTERPOL's official report, based on responses from 36 African member countries, financial losses related to cybercrime rose from $192 million to $484 million between 2024 and 2025. Identity theft, automated social engineering, and AI-generated fraud campaigns account for most of this increase. The partner TrendAI, mentioned in the report, alone detected nearly 600,000 cases of sextortion during this period, largely fueled by "deepfake" content.

East Africa stands out as the main hub for mobile money fraud and ransomware targeting infrastructure. Central and West Africa, on the other hand, focus more on professional email compromise and romance scams, two techniques that are increasingly used to funnel profits into hard-to-trace cryptocurrencies. With over 1.1 billion mobile subscribers recorded in 2025, the hunting ground is vast for networks that now operate on an industrial scale rather than in isolated groups.

The crypto aspect of these scams follows a recognizable pattern. A fake video of an exchange boss might promise to double an investment in a few hours, or it could be a cloned voice of a distressed relative requesting an urgent transfer in stablecoins. A completely AI-generated fake investor profile builds a relationship of trust over weeks before proposing a rigged trading platform. This latter scenario, known as pig butchering (literally "fattening the pig," where the scammer builds trust with their victim before stripping them of their assets), is among the most lucrative techniques identified in the report.

The report points out a worrying gap. Legislation against cybercrime remains fragmented from country to country, and the level of preparedness of law enforcement against AI tools is, in INTERPOL's own words, "alarmingly low." The organization calls on African states to strengthen cross-border cooperation, modernize their legislative arsenal, and better train their investigators in emerging technologies.

On the ground, mobilization is already happening, even if it struggles to keep pace with the networks it is tracking. In February, Operation Red Card 2.0, conducted with Afripol in sixteen countries, resulted in 651 arrests and the identification of 1,247 victims. Globally, the recent Operation First Light 2026 led to the arrest of 5,811 individuals and the seizure of $293 million in illicit assets, a figure that gives an idea of the scale of the targeted networks. These operations mark individual victories. They do not close the faucet.

INTERPOL's report aligns with a finding already documented elsewhere: the same generative AI tools that facilitate the production of legitimate content are, without distinction, used to create fake testimonials from crypto investors or cloned voices of financially distressed relatives. Faced with networks that industrialize fraud at a speed that the law struggles to match, individual vigilance remains, for now, the best line of defense available.

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