Artificial intelligence is no longer just an add-on for cybercriminals operating across Africa, according to a new Interpol report. The agency says 2025 is the point at which AI became the "core operational driver of cybercrime in Africa," changing how attacks are planned, launched, and hidden.
The report says AI is involved in 55 percent of reported cybercrimes in Africa. It also points to a sharp rise in financial losses, which more than doubled since 2024, moving from $192 million to $484 million.
AI has moved into the center of the attack chain
The central message from Interpol is that AI is now present across the full cybercrime workflow. Criminals are not only using it for one task, such as writing a phishing message. The report says AI is being used at every stage of a cyberattack.
That includes reconnaissance, phishing, extortion, and evasion. It also includes the creation of synthetic identities that can bypass biometric systems. In plain terms, the report describes AI as a way for criminals to automate and extend activities that already existed, while making them harder to detect and easier to repeat.
"AI is automating every stage of a cyberattack from reconnaissance and phishing to extortion and evasion," said Neal Jetton, head of Interpol's cybercrime unit.
That quote matters because it frames AI as infrastructure for cybercrime rather than a separate category of crime. If a criminal group can use AI during planning, deception, pressure, and concealment, then the technology becomes part of the operating model itself.
The numbers show a fast shift
The report's figures point to both scale and speed. AI is involved in 55 percent of reported cybercrimes in Africa, according to the source article. The financial impact has also increased quickly: losses rose from $192 million to $484 million since 2024.
Interpol's analysis draws on data from 36 African countries. That broad base gives the report regional weight, while still focusing only on reported cybercrimes. The distinction is important: the figures describe reported activity, not every incident that may have occurred.
The report also identifies deepfakes as part of the current threat picture. About 600,000 cases of digital extortion involving deepfakes were recorded. That places synthetic media inside a wider pattern of AI-enabled cybercrime, alongside phishing and synthetic identity creation.
Deepfakes and synthetic identities raise the stakes
Deepfake-related extortion shows how AI can turn personal or fabricated media into pressure. The report does not describe each case in detail, but the recorded figure is large enough to show that this is not a fringe issue within the dataset.
Synthetic identities create a different kind of problem. The source article says criminals are using AI to create identities that can bypass biometric systems. That suggests a challenge for systems that depend on identity checks as a barrier against fraud and unauthorized access.
Taken together, deepfake extortion and synthetic identity creation show why Interpol is treating AI as more than a productivity tool for attackers. These uses can affect trust in images, identities, and verification processes, all of which are central to digital security.
Enforcement is producing results, but the threat is changing
The report also includes enforcement wins. Four Interpol-coordinated operations in 2025 and 2026 led to more than 1,500 arrests and the seizure of over $100 million.
Those results show that law enforcement activity is continuing alongside the rise in AI-enabled attacks. At the same time, the report's larger finding is that cybercriminal methods are changing. When AI is used in reconnaissance, phishing, extortion, evasion, deepfakes, and synthetic identities, enforcement has to confront an attack environment where automation can be present from start to finish.
For readers following AI and cybersecurity, the key point is straightforward: Interpol is describing a structural shift. The issue is not simply that criminals have adopted a new tool. It is that AI is now embedded in the way many reported cybercrimes across Africa are carried out.
What the report means in practical terms
The source article does not offer a detailed policy roadmap, but the implications are clear from the findings it reports. Cybercrime that uses AI across multiple stages can be harder to understand if each incident is treated as a one-off event. The same technology can support targeting, deception, identity fraud, extortion, and escape from detection.
That is why the phrase "core operational driver" is so significant. It signals that AI has become part of the machinery of cybercrime in Africa, not just a tool used at the margins. With reported losses at $484 million and AI linked to 55 percent of reported cybercrimes, Interpol's report presents AI-enabled cybercrime as a major operational challenge for the region.