Articles & Insights

Why “Does This Look Fake?” Is Becoming the Wrong Question

Kevin Fichtner

For years, digital-safety advice has taught people to look for warning signs.

Bad spelling. Strange email addresses. Awkward logos. Unusual wording. Poor-quality images.

That advice is not useless, but it is becoming less reliable.

Artificial intelligence can produce polished emails, convincing images, realistic voices and increasingly believable video. A scam no longer needs to look amateurish.

That changes the question we should be asking.

Instead of: “Does this look fake?” we increasingly need to ask: “Can I independently verify that this is real?”

Why appearance is becoming less useful

Humans naturally look for visual and emotional clues when deciding whether something is trustworthy.

  • Does the person sound familiar?
  • Does the email look professional?
  • Does the website resemble the real company?
  • Does the request seem plausible?

AI can now imitate many of those signals. That means something can look completely legitimate and still be fraudulent.

Verification is stronger than detection

Imagine receiving an urgent email from your manager asking you to change a vendor’s banking information.

You could spend five minutes examining the email for signs of fraud.

Or you could call your manager using the phone number already stored in your contacts.

The second approach is stronger because it does not require you to correctly identify the fake.

The same principle applies to a message from your bank, a family emergency, a password-reset request or an investment opportunity.

Leave the communication channel controlled by the person making the request and verify through one you trust.

Urgency should trigger verification

One of the most effective scam tactics is creating pressure.

  • Act now.
  • Do not tell anyone.
  • Your account will be closed.
  • The payment is overdue.
  • Your family member is in trouble.

Urgency narrows attention and encourages people to bypass normal procedures. That is why an unexpected urgent request should trigger the opposite behaviour: Slow down.

A practical response

One useful framework is: STOP • SEPARATE • VERIFY • PROTECT • REPORT

  • Stop before acting.
  • Separate from the original call, email, message or website.
  • Verify using a trusted independent method.
  • Protect your accounts, money, credentials and information.
  • Report suspicious activity to the appropriate organization.

The goal is not perfection

People do not need to become experts in artificial intelligence or cybersecurity.

They do not need to recognize every deepfake, cloned voice or fraudulent email.

They need a process that works even when deception becomes highly convincing.

The technology will keep changing.

A strong verification habit can remain the same.

Kevin Fichtner is the founder of Fichtner Digital Learning Centre, which develops practical education around digital safety, Human Digital Risk, responsible AI and modern financial literacy.

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