A fake bank employee within 30 seconds: the dangers of AI voice fraud

Your phone rings. On the other end of the line, you hear a friendly, calm voice. “This is Eline from the bank,” she says. She sounds professional and slightly concerned. There is supposedly a problem with your account, and to secure your money, she needs a few details from you.

The conversation feels real. Reliable, even. And that is exactly the problem.

Because “Eline” doesn't exist. It is an AI voice and nowadays, you can create one in less than a minute.

The new face of fraud

Where scammers used to rely primarily on poorly written emails or clumsy phone calls, the landscape has changed significantly. Using AI, they can create voices that sound surprisingly human. Not perfect, but good enough to appear credible especially when you receive an unexpected call.

In a short demonstration, such a voice was created in just thirty seconds. That is all it takes. No technical knowledge, no expensive software. Just a tool and a bit of creativity.

This makes the risk greater than ever. Because if this is already so easy, what can people do who invest real time and energy? Especially if they also possess personal information about you, such as your name, bank, or recent transactions.

How such a call works

The setup for this type of fraud is often surprisingly simple. You are called by someone posing as an employee of your bank. There is supposedly something wrong with your account: a suspicious payment, a security issue, or a potential hack.

Pressure is then applied. You must act quickly to prevent losing your money. The “employee” reassures you, but simultaneously pushes for action. For example, by asking you to transfer money to a so-called safe account, or to share confidential data.

It feels like you are being helped, while in reality, you are being scammed.

What should you look out for?

While these AI voices are getting better, there are still ways to detect anomalies. The most important thing is to give yourself the space to keep thinking critically, even if someone sounds convincing. A simple trick is to ask an unexpected question. For instance, ask if the person can speak in another language for a moment. This doesn't even have to be logical the point is to take the conversation off-script. AI systems can sometimes respond strangely to this. You can also say something that doesn't fit a normal conversation, such as asking if the person can go back to “basic settings.” It might sound odd, but it can cause an AI to stumble or freeze.

More importantly: trust your gut. If something doesn't feel right, there is usually a reason for it.

What banks never do

Perhaps the most important rule: a real bank will never ask you over the phone to transfer money to another account. Nor will they simply ask for sensitive data, such as full login codes or verification details.

If that happens? Then you already know enough.

What to do if you have doubts?

The best response is also the simplest: end the conversation. Without discussion, without explanation. Just hang up.

Want to be sure if something is actually wrong? Call your bank yourself using the official number on their website. Do not use a number provided during the call.

A new reality

AI makes a lot possible, and that isn't necessarily a bad thing. But it does mean that this type of fraud is becoming increasingly sophisticated. What used to be obviously fake can now feel very real. However, the core principle remains the same. If someone pressures you to act quickly regarding money, chances are high that something is wrong.

Job guest-starring at EditieNL (RTL Netherlands) to explain how easily AI voice fraud works

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// About the author

Job van den Berg

Mede-oprichter, AI Keynote Spreker & Techondernemer

Tech-ondernemer (1989) met een achtergrond als socioloog (Research Master (MSc) in statistiek en sociologie) en een van de meest gevraagde keynote sprekers over AI en data in Nederland. Als mede-oprichter van Ai.nl, The Automation Group en Proxies leidt hij engineers die agentic AI van prototype naar productie brengen binnen enterprises. Op het podium vertaalt Job die hands-on praktijk naar concrete strategieën. Eerder was Job Chief Data bij o.a. DPG Media en Kantar. Hij is co-auteur van 5 boeken over AI waaronder 'AI Agents' en 'Handboek AI Strategie' en een veelgevraagd expert in de landelijke media.

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