How to Spot a Scam Email That Looks Real

Article Summary: Scammers now use AI to write their phishing emails so the spelling and grammar mistakes that used to give them away are gone. The UK’s National Cyber Security Centre and the FBI both warn that AI makes these messages cleaner, more personal and harder to spot. The way to catch them now is to look at what an email is asking you to do because the writing no longer gives anything away.

For years, the advice for spotting a scam email was simple: look for bad spelling and clumsy grammar. A real bank or supplier writes properly so a message full of mistakes was probably fake. This made sense in the past. It was easy to teach and for a long time it worked.

It doesn’t anymore. Scammers now use AI to write their emails and AI writes cleanly. The typos and awkward phrasing that gave phishing away are gone and the messages landing in your team’s inbox read as well as anything from a real company. They can be written to sound like they came from someone you already know.

Why the Old Advice Stopped Working

The spelling-and-grammar tell worked because a lot of scammers were writing in a language that wasn’t their own and the mistakes showed. AI took that away.

The UK’s National Cyber Security Centre says generative AI can now create convincing phishing lures “without the translation, spelling and grammatical mistakes that often reveal phishing.” The FBI says the same: criminals use AI to limit the grammar and spelling errors that used to mark a message as fake so it reads as believable. That means the one thing most people were trained to look for no longer tells you much.

Why These Emails are so Convincing Now

• The writing is clean. A scam email reads like a normal business email because a machine wrote it in seconds in whatever tone the attacker asked for.
• It is personal. Attackers can feed public details about your company into an AI tool pulled from your website, your team’s LinkedIn profiles or a press release and get a message tailored to you: the right names, the right job titles and a believable reason to be in touch.
• There is more of it. AI makes each message faster to produce so attackers send far more. The FBI’s Internet Crime Complaint Center added a section on AI to its annual report for the first time tied to more than 22,000 complaints and nearly $893 million in reported losses.

These days the scam email isn’t the obvious one anymore. Instead of “Dear customer, your account is suspended,” someone in your finance team gets a message that looks like it is from a supplier they really deal with, mentions a real project and asks to update the bank details for the next invoice. It reads exactly like a real supplier email. The only thing wrong is that the supplier never sent it.

Your Spam Filter Won’t Catch Them All

It is tempting to assume your email security will handle this. It catches a lot and you should keep it switched on. However, a well-written and personalized email that asks a normal-sounding question doesn’t always look dangerous to a filter when it carries no obvious bad link or attachment. Both the NCSC and the FBI expect AI to push more of these messages through which is why the last line of defense is a person who knows what to check.

It is Not Just Email Anymore

AI has done the same thing to phone calls and texts. The FBI warns that criminals can clone a voice from a short audio clip enough to leave a voicemail that sounds like your boss or a family member asking for an urgent payment. The same thing that makes AI emails so convincing makes AI phone scams convincing too. The defense is the same. If a call or voicemail asks for money or logins, hang up and call the person back on a number you already have.

Here Are the Signs You Should Still Pay Attention To

If you can’t trust how an email is written, look at what it is asking you to do. That is where the real warning signs are and AI hasn’t changed them:

• It asks for money, gift cards or a payment to a new account.
• It asks for a login, a verification code or personal details.
• It creates pressure: a deadline, a threat or a “do this now.”
• It asks you to change the bank details for an invoice or a supplier.
• It comes with a link or attachment you weren’t expecting.
• The display name looks right but the actual email address doesn’t match it.

Every one of these is about what the email is asking for. So the rule to teach your team is simple: when a message is about money, logins or how you pay someone, slow down before you act.

How to Protect Your Team

• Check money and login requests another way. If an email asks you to pay a new account or change a supplier’s bank details, call the person on a number you already have. Don’t reply to the email or use a number it gives you.
• Stop telling staff to watch for bad spelling. Tell them to look at what the email is asking for and to slow down when it is about money or logins.
• Make one rule for payment changes: Confirm every change to bank details by phone even when it is urgent.
• Turn on phishing-resistant MFA or passkeys so a stolen password is harder to use even if someone gets tricked.
• Make it easy to report a suspicious email and make sure nobody feels silly for checking.
• Remind the team now and then that scam emails look perfect these days. A quick five-minute chat beats a poster nobody reads

Frequently Asked Questions

Can you still spot a phishing email by bad spelling and grammar?

Not reliably. Attackers use AI to write clean and correct emails now so a message with perfect spelling can still be a scam. Judge it by what it asks you to do.

What are the warning signs that still work?

The request itself: paying money, changing bank details, sharing a login or code or being pushed to act urgently. Those signs don’t depend on how the email reads.

Is AI-generated phishing really more effective?

Yes. The NCSC and the FBI have both warned that AI makes phishing more convincing and more personal and the FBI has tied AI to tens of thousands of fraud complaints and hundreds of millions in losses. Cleaner and tailored messages get opened and clicked more often.

Will my spam filter stop AI phishing?

It will catch a lot and you should keep it on. However, a well-written and personalized email with no obvious bad link can still look legitimate to a filter so don’t rely on it alone. A trained person is the backstop.

What should staff do if they aren’t sure about a message?

Slow down and check through a channel they trust like calling a known number or asking the person directly. Report it even if it turns out to be genuine.