Can AI Fight Back Against Scammers? The Ethics and Reality of Scam Baiting in 2026

What if artificial intelligence could waste scammers' time instead of yours?

That's the premise behind an emerging strategy called scam baiting — using AI chatbots and automated systems to engage scammers in lengthy, fruitless conversations, burning their time and resources while protecting real people. Governments are exploring it. Tech companies are building tools around it. And a growing community of online vigilantes has turned it into a movement.

But as scam baiting goes mainstream, it raises serious questions about ethics, legality, and whether fighting fire with fire actually works.

What Is Scam Baiting?

Scam baiting is the practice of deliberately engaging with a scammer — pretending to be a willing victim — in order to waste their time, gather intelligence, or expose their methods. Traditional scam baiting has been a hobbyist pursuit for years, with communities on Reddit and YouTube dedicated to stringing along phone scammers for entertainment and awareness.

What's new in 2026 is the use of AI to automate and scale this. Several organizations and technology companies are deploying AI chatbots that can hold extended conversations with scammers, mimicking the behavior of a real victim — asking clarifying questions, expressing interest, providing fake information — while keeping the scammer tied up for hours instead of targeting real people.

The logic is simple: a scammer engaged with a bot is a scammer who isn't victimizing a real person. And because AI bots can operate 24/7 across thousands of simultaneous conversations, they can theoretically tie up significant scam center capacity.

Government Interest Is Growing

Scam baiting is gaining institutional attention. Several government and law enforcement agencies have started exploring AI-assisted counter-scam operations as part of broader anti-fraud strategies. The idea of deploying AI against the same scam centers that use AI to target victims has obvious appeal — it uses the adversary's own tools against them.

Australia's National Anti-Scam Centre, one of the most proactive anti-fraud agencies globally, has studied the concept as part of its disruption strategies. In the UK, telecoms have experimented with AI-generated "persona" systems that intercept scam calls and keep fraudsters on the line.

The concept aligns with a broader shift in anti-fraud thinking: from purely defensive measures (warning users, blocking numbers) to active disruption (wasting scammer resources, degrading their infrastructure).

Does It Actually Work?

The evidence is mixed but promising.

For individuals: Traditional scam baiting — a person manually engaging a scammer — is time-consuming and carries risks. You're exposing yourself to a criminal, and there's no guarantee the scammer won't simply move on to someone else.

For AI-powered systems: The potential scale advantage is significant. If an AI bot can tie up a scammer for 45 minutes with a convincing fake victim persona, that's 45 minutes the scammer can't spend targeting real people. Multiplied across thousands of simultaneous interactions, this could meaningfully reduce the volume of scam calls and messages reaching actual targets.

The data question: One of the most valuable byproducts of scam baiting is intelligence. Extended conversations with scammers reveal their scripts, tactics, payment methods, and infrastructure. This data can be shared with law enforcement and used to improve automated scam detection systems. Several anti-fraud organizations already use scam baiting intelligence to update their threat databases.

The Ethical Boundaries

Scam baiting isn't without controversy. The key ethical questions include:

Is deception justified against criminals? Scam baiting inherently involves deceiving the scammer. While most people intuitively feel this is justified, there are philosophical concerns about normalizing deception as a tool — even against bad actors.

Who are the actual scammers? INTERPOL's 2025 report revealed that many scam center workers are themselves trafficking victims, forced to run scams under threat of violence. An AI bot wasting the time of a trafficked person doesn't hurt the criminal organization — it hurts the coerced worker who may face punishment for low productivity.

Legal gray areas. In some jurisdictions, interfering with communications — even fraudulent ones — may carry legal implications. The line between counter-fraud intelligence and vigilante action isn't always clear.

Escalation risk. If scam organizations realize they're being targeted by AI bots, they may develop countermeasures or shift to channels that are harder to intercept, potentially making scams more sophisticated rather than less.

What Actually Protects People

Scam baiting is fascinating and may prove valuable as part of a broader counter-fraud strategy. But it's fundamentally an offensive tactic — one that requires institutional resources and carries risks.

For individuals, the most effective protection remains defensive: verifying before you trust, scanning before you click, and talking to someone before you send money.

Tools like ScamSecurityCheck.com give you the ability to check any suspicious message, link, or image in seconds — before you engage at all. That's not fighting back against scammers. It's making sure they never reach you in the first place.

The ultimate scam bait is a person who checks first and never takes the hook.

Check something suspicious right now →

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Sources: INTERPOL 2025 Scam Center Report, Australian National Anti-Scam Centre, UK Telecom Industry Reports, AARP, FTC