Common questions teachers ask when running this lesson.
Who is Kevin Peachey and why is a 'Cost of living correspondent' writing about AI?
Kevin Peachey is the BBC's Cost of living correspondent. The article is placed under his brief because the practical harm being reported is financial — people losing money to scams. Framing AI scams as a cost-of-living story rather than a technology story is itself a choice worth noticing with the class: the article is addressed to the general reader, not the tech-savvy reader, and that is why its tone is practical rather than technical.
What exactly is the 'AI scam watchlist'?
It is a document just drawn up by National Trading Standards — a UK government-funded body — naming the four patterns their intelligence teams have seen most of this year: cloned or new polished-looking retailer websites; AI-driven romance scams that remember details across months; deepfake video and voice-cloned audio impersonating family in an 'emergency'; and error-free personalised phishing at scale. The article links to the full watchlist. For teachers running the lesson, the four patterns in the article are sufficient — pupils do not need the full document.
What are the three bits of advice Trading Standards gives in the piece?
First, never send money, gift cards or personal / financial information to someone you have not met in person. Second, do not assume someone is genuine just because you have heard their voice or seen them on a video call. Third, in general, stop and think before paying or sharing information, and be especially wary of pressure or urgency because criminals want you to act before you have time to think. All three are quoted verbatim in the article.
What is Which? and why does their quote carry weight here?
Which? is the UK consumer group that tests products and campaigns on consumer protection. In this article they are quoted saying that typos or grammatical errors can no longer be relied on to spot scams. Which? carries weight because the organisation has historically been one of the main sources of the 'spot a scam by its grammar' advice teachers and parents have been passing on for twenty years — them saying the rule has expired is roughly the organisation most likely to defend the old rule retiring it themselves.
What are the two helpline numbers and when should pupils use them?
Report Fraud, 0300 123 2040. Citizens Advice Consumer Helpline, 0808 223 1133. The first is for reporting a scam that has happened or that pupils have spotted. The second is for advice when they are not sure yet, including after a near-miss. Both are UK-wide, run by established organisations and will still be live long after the lesson. Mentioning both aloud during the Decision Framework section is the simplest way to make at least one of them stick.
What is the article not telling us?
Three important absences. First, the article does not say how big the AI-scam category is in money or in victim numbers — only that the watchlist is new. Second, it does not say which specific AI tools are being used to generate the fake sites or deepfake clips, so pupils cannot connect the story to any single product or company. Third, it does not evaluate the Trading Standards advice against actual data on which checks work — the advice is sensible but is not quantified in the piece.
Common misconceptions
What pupils tend to think, and what to say back.
Pupils often say
I can spot scams by their typos and bad English.
It's actually
That advice is no longer reliable, and the article names the source directly. The consumer group Which? is quoted saying: 'typos or grammatical errors can no longer be relied on to spot scams'. AI writes error-free, grammatically perfect text at scale. The old rule was built for a time when a scam message was typed by a human who did not speak the victim's language fluently; AI has removed that tell. Pupils need to update to pattern-based rules — who is asking, how are they asking, is there urgency, is there a way to independently verify — rather than surface-level grammar checks.
Try asking
If typos used to be the clue, what was it about the scammer's situation that made typos appear in the first place, and what has AI changed about that situation?
Pupils often say
If I hear my mum's voice or see her on a video call, it must be her.
It's actually
The article is explicit: 'Not assuming someone is genuine just because you've heard their voice or seen them on a video call.' AI-generated deepfake videos and voice-cloned audio are on the National Trading Standards watchlist specifically because they are being used to impersonate family members or close friends asking for money in an 'emergency'. A short clip of someone's voice from a social-media video is enough source material for a convincing clone. The new rule is the one in the article: a voice is not proof. Hang up, dial the number you already have for that person, and ask them in person.
Try asking
If a familiar voice is no longer proof of identity, what independent check could you do in the next sixty seconds that an AI cannot fake?
Pupils often say
Online shops that look professional must be real.
It's actually
The article names this specifically: fraudsters have built websites 'for fake retailers that claim to be family-owned firms selling quality UK-made products', complete with 'images that may show a UK High Street with Union Jack flags in shot'. Trading Standards says these sites are now 'polished and professional' and built 'in rapid time and at a low cost' because AI handles the writing, the images and the design. The look of a site is no longer evidence that it is real. The new signals are the ones AI cannot cheaply fake: a verifiable UK registered-company number, a real street address, independent reviews on sites outside the retailer's control, and a working customer-service phone line answered by a human.
Try asking
If a polished website design is no longer evidence a shop is real, which signals about a shop are harder for a scammer to fake quickly?
Pupils often say
Scams are an old-person problem, they do not really target teenagers.
It's actually
The article's four named patterns include two that specifically target younger users. Romance scams rely on long-running conversations where an AI 'remembers' personal details — exactly the pattern teenagers encounter in direct messages. Personalised phishing emails and social-media posts are generated 'on a huge scale' and reach everyone with a public profile. Deepfake voice clips impersonating a friend asking for emergency money work on anyone who has a friend. The scam watchlist is written for everyone with a phone, not just older adults.
Try asking
Which of the four patterns in the Trading Standards watchlist is most likely to arrive in a Year 9 pupil's phone this week, and why?
Pupils often say
If I spot a scam, there is nothing I can do about it.
It's actually
The article names two live routes for reporting. Report Fraud on 0300 123 2040 is the UK's national reporting line for fraud and cybercrime; it is where the data that drives the National Trading Standards watchlist comes from in the first place. The Citizens Advice Consumer Helpline on 0808 223 1133 gives free advice on what to do next. Reporting matters because every report feeds the pattern-detection that updates the next watchlist. The individual pupil cannot stop a scam syndicate, but the aggregate of pupils and parents reporting is exactly what let Trading Standards write the watchlist this story is about.
Try asking
If every spotted scam goes unreported, which part of Trading Standards' job becomes impossible?
5-minute prep
Five ready-to-run ways to open this lesson. Pick one, copy the prompt, paste it into ChatGPT or Copilot.
Read this first1 min
The story in one paragraph
National Trading Standards has drawn up its first ever 'AI scam watchlist' and the BBC's Cost of living correspondent reports it. The headline worry is that AI is not inventing new scams, it is 'super-charging' old ones. The watchlist names four main patterns: cloned or newly built websites that look polished and professional and often pose as 'family-owned UK' retailers; romance scams in which an AI remembers your personal details and keeps the conversation going for months; deepfake voice and video impersonating a family member in an 'emergency' and asking for money; and error-free personalised phishing emails, texts and social posts at huge scale. The old advice that scams can be spotted by typos no longer works — the consumer group Which? says so directly in the piece. Trading Standards' core advice is three sentences: never send money or personal information to someone you have not met in person; do not trust a familiar voice or face on a call alone; stop and think before paying, and be especially wary of pressure or urgency.
I am about to run a lesson on the BBC News article 'Don't fall for this - how to protect yourself from AI scams' by Kevin Peachey (19 Oct 2026, https://www.bbc.co.uk/news/articles/c60rl1xvjv89o). Please give me three short paragraphs I can read aloud in five minutes that fairly summarise (1) what Trading Standards' new 'AI scam watchlist' actually names, (2) why the old scam-spotting advice about typos no longer works, and (3) what Trading Standards' core three-sentence advice is. British English, plain register, aimed at a Y9 class.
The phrase to notice1 min
'super-charging'
Trading Standards' chosen word for what AI does to scams is 'super-charging'. Hold that for a second. It is not 'inventing' and it is not 'enabling'. 'Super-charging' is a car-engine metaphor — it tells pupils AI takes a thing that was already running and makes it faster, cheaper and bigger. The scam that used to need a human sitting there typing out dodgy English can now be run at the scale of a whole industry, every message grammatically perfect, every detail personalised. The word is doing careful work: it tells the reader these are not new crimes to learn about, they are old crimes they already know, just now operating at a scale the old defences were not built for.
Please give me one 60-second teacher introduction to the BBC 'Don't fall for this' article (https://www.bbc.co.uk/news/articles/c60rl1xvjv89o) that lingers on the word 'super-charging' — what the metaphor is doing, and why Trading Standards chose it rather than 'inventing' or 'enabling'. British English, warm register, aimed at Y9.
The surprise most pupils carry in1 min
Typos no longer save you
The one piece of scam-spotting advice almost every pupil has heard — look for typos, look for bad grammar, look for the obvious tells — is the piece of advice the article is quietly retiring. Which?, the consumer group, is quoted in the piece saying this directly: 'typos or grammatical errors can no longer be relied on to spot scams'. Every pupil in the room will have been taught the old rule at some point, by a parent, a teacher, or a school assembly. Noticing that the rule is now obsolete is itself most of today's lesson — it clears space for the new, pattern-based thinking the rest of the lesson is going to teach.
Please give me a single two-sentence teacher opener I can put on the board that fairly previews the retirement of the old 'typos = scam' advice, grounded in the BBC article at https://www.bbc.co.uk/news/articles/c60rl1xvjv89o. British English, no leading language.
Two numbers to hold1 min
0300 123 2040 and 0808 223 1133
The article closes with two live phone numbers. 0300 123 2040 is Report Fraud (via Action Fraud, the UK's national reporting centre for fraud and cybercrime). 0808 223 1133 is the Citizens Advice Consumer Helpline. Both numbers belong to real UK organisations and both will still be live after the lesson ends. Mentioning them aloud once in the lesson — ideally during the Decision Framework section — makes them stick. Pupils who leave today able to say 'if a message asks me for money I stop, I check, I call back on a number I already have, and if it was a scam I report it on 0300 123 2040' have the practical outcome of the lesson in a single sentence.
Please give me one classroom line I can use when teaching the BBC 'Don't fall for this' article (https://www.bbc.co.uk/news/articles/c60rl1xvjv89o) that names the two helpline numbers at the end of the piece — Report Fraud (0300 123 2040) and Citizens Advice (0808 223 1133) — in a way that makes a Y9 pupil remember at least one of them. British English, plain register, no exaggeration.
If it derails1 min
A fallback line if the class decides AI is simply too dangerous
If the discussion collapses into 'this proves AI is just dangerous, we should ban it', gently redirect. Suggested line: 'That is not what the article is reporting. The piece names a specific thing — scams that already existed being made faster, cheaper and bigger by AI. The response in the piece is not banning AI, it is Trading Standards saying stop, check, do not trust a familiar voice alone, and report. The lesson today is about building a working defence, not about voting on whether AI should exist.' Hold the line that today's job is a decision framework pupils can use the next time a message lands, not a referendum.
Please give me one calm classroom line I can use to redirect a Y9 discussion of the BBC 'Don't fall for this' article (https://www.bbc.co.uk/news/articles/c60rl1xvjv89o) if pupils collapse into saying AI is simply too dangerous and should be banned. British English, warm, factually accurate to what the article actually argues.
