AI Is Making Cybercrime Smarter. Is Africa's Digital Economy Ready?

Africa's digital economy is growing faster, and this growth is opening the door to a different kind of problem. As more people move more money and businesses online, criminals are moving just as quickly, and they are increasingly using the same Artificial Intelligence (AI) tools everyone else is adopting to build, work, and connect.

INTERPOL's African Cyberthreat Assessment Report 2026 puts a number on this growing threat. Drawing on survey data from 36 African countries, the report found that AI is now involved in over half of reported cybercrime cases across the continent, and losses linked to these attacks have more than doubled in a year, climbing from $192 million in 2024 to $484 million in 2025.

What Has Changed

Cybercrime in Africa used to be largely opportunistic, but it is now shifting fast, as AI is helping criminals do things that used to take far more time, money, and manual effort. Things that include:

• Writing phishing messages convincing enough to pass as real official communication
• Cloning voices and faces to impersonate people victims already trust
• Fabricating identities to open accounts, apply for loans, or bypass verification systems
• Automating scams so a small group can run operations at a scale that once required large teams.

INTERPOL’s report also shows that the cyberthreat landscape looks different across Africa:

• East Africa has seen a rise in mobile money fraud and ransomware targeting infrastructure
• Central and West Africa are dealing more with business email compromise and romance scams
• South Africa alone accounted for 92% of ransomware detections recorded in 2025

Why Africa’s Response Is Still Behind

Most African countries are trying to fight an AI-enabled threat with laws that were not built for one. Cybercrime legislation exists in 83% of the countries INTERPOL surveyed, but many of these laws predate the rise of generative AI and do not clearly define offences like deepfakes, synthetic identities, or AI-generated fraud. As such, this leaves law enforcement in a difficult position, trying to prosecute crimes that do not fit neatly into the categories the law recognizes.

There is also a skills gap inside the institutions meant to respond. INTERPOL's report points to low AI literacy among law enforcement agencies as one of the central weaknesses in Africa's cyber defenses. Investigators are being asked to detect and dismantle AI-driven operations without always having the tools or training to recognize what AI-generated fraud looks like in the first place.

While none of this means nothing is happening, the pace of progress is still slower than the pace at which the threat is evolving, which is why the gap persists.

So, Is Africa's Digital Economy Ready?

Based on where things stand, the honest answer is not yet, although the direction is encouraging.

Law enforcement agencies are still building the AI literacy needed to keep up with how fast these attacks evolve, and legislation across the continent remains too fragmented to treat this as one problem instead of 54 separate ones. At the same time, the new laws and the cross-border operations all suggest that governments and institutions are taking the shift seriously rather than ignoring it.

And this suggests that readiness here is not a single moment where a country or a continent can  suddenly catch up.

How Individuals Can Stay Safe

• Verifying unusual requests through a second channel, such as calling a bank or colleague directly, before acting on a message asking for money, login details, or urgent action
• Being skeptical of urgency, since AI-generated scams often rely on pressure and time constraints to stop people from thinking clearly
• Enabling two-factor authentication on financial and important accounts, so a stolen password alone is not enough to gain access
• Paying attention to small inconsistencies, like a slightly altered email address or an unfamiliar payment link, even when everything else about a message looks legitimate
• Limiting how much personal information is publicly available online, since AI tools use publicly available details to make scams more convincing and personalized

Conclusion

Readiness is not a single moment where a country or a continent can suddenly catch up. It is something that gets built over time, through legislation that keeps pace with how fast AI-driven crime evolves, stronger coordination between countries so criminals cannot simply operate from wherever enforcement is weakest, continuous AI training for the law enforcement agencies expected to detect and respond to these threats, as well as individuals doing their part to avoid falling for increasingly convincing scams.

For people in the tech industry, do you think Africa's institutions are closing this gap fast enough, or is the continent's digital growth still outpacing its ability to secure it? Share your thoughts with us in the comments.