We’ve covered everything AI can do for your finances. It’s time to close with what you must protect while you do it. Because when you use an AI with your money, you don’t just ask it questions: you hand it information, and financial information is among the most sensitive you have. This final chapter is about the non-negotiable rules.

Your financial data is very valuable

When you paste a statement, a payslip or the detail of your investments into an AI tool, that data leaves your control and travels to a company’s servers. Depending on the tool and its settings, it may be stored, reviewed by people to improve the service, or even used to train future models.

This isn’t a reason not to use AI — the benefits we’ve seen are real — but to use it with the same prudence with which you wouldn’t leave your wallet open on a café table. The mental rule: treat anything you type into an AI as if a third party could end up reading it. With that yardstick, the decisions become easy.

What you should never give an AI

There’s a short list of data you should never enter into an AI, no matter what:

  • Passwords and keys for banking, cards or any service.
  • Full card numbers, PIN, CVV.
  • Full account numbers (IBAN) if you can avoid it.
  • ID, passport or full identification numbers.
  • Access credentials of any kind.
  • Third parties’ data (your partner’s, your parents’) without their consent.

The good news, which we saw in block 2, is that AI almost never needs this data to help you. To categorise spending it just needs descriptions and amounts; to understand a product, the text of the factsheet without your personal data; to compare, the features, not your customer number. If a task seems to demand a sensitive piece of data, there’s almost always a way to do it without it.

How to anonymise and share just enough

Anonymising is easier than it seems and it’s your best security habit:

  • Remove identifiers before pasting. Delete full names, accounts, addresses. Keep only what the task needs.
  • Replace with generic labels. “Company salary,” “rent,” “car loan” instead of real names. The AI categorises just as well.
  • Work with relative figures when you can. Sometimes you don’t need to give exact amounts: percentages or proportions are enough for many analyses.
  • Share the bare minimum. The question before each paste: “does the AI really need this data for what I’m asking?” If the answer is no, out it goes.

The less you give, the less you expose, and you almost never lose usefulness for it.

Choosing a tool with judgment

Not all AI tools treat your data the same, and choosing well matters:

Check what it does with your data. Look in the settings for whether it uses your conversations to train its models and, if so, turn it off (many let you opt out). Read, even quickly, its privacy policy regarding storage and use.

Consider more private options for the sensitive stuff. There are “temporary” modes that don’t save history, enterprise versions with stronger guarantees, and even models that can run on your own computer so the data never leaves it. For the most delicate tasks, it’s worth it.

Distrust improvised financial tools. An app promising to “connect your bank and let the AI manage it” is asking for access to something very serious. Before giving banking credentials to a third party, make sure it’s a serious, regulated and reputable institution. When in doubt, don’t.

AI-powered fraud

The same technology that helps you has also empowered scammers, and you should know it to protect yourself:

  • Hyper-personalised phishing: perfect fraud emails and messages, without the old spelling mistakes, sometimes with real data about you. The defence doesn’t change: never give data or click from an unsolicited message; go directly to the official site yourself.
  • Voice and video cloning: AI can imitate a relative’s voice asking you for urgent money, or create fake videos of supposed experts recommending an investment. Faced with an urgent money request, always verify through another channel (call the person yourself on their usual number).
  • Fake advisers and investment bots: AI-generated chatbots and “gurus” promising guaranteed returns. Remember the golden rule of the whole course: nobody predicts the market, and anyone promising guaranteed returns is lying. Guaranteed returns don’t exist.

The universal red flag is still the same: urgency + a request for money or data = suspicion. AI makes the deceptions more believable, but it doesn’t change your best defence: stop, doubt and verify on your own.

Course wrap-up

We’ve made a complete journey. We began by understanding that AI is a copilot and not a pilot; we learned to ask it well; we put it to organise our spending and decode the fine print; we used it to research and decide without falling for its traps, and even to watch our own biases; and we turned it into help for automating and building consistency. Now we close by protecting what matters.

If you keep a single idea from the whole course, let it be this: AI multiplies your ability, but it doesn’t replace your judgment. It’s the best tool you’ve ever had to understand your money, organise it and decide better. But the two things that make it valuable — your judgment and your data — are precisely the ones you must never hand over. Used this way, with judgment and prudence, AI doesn’t take control of your money away from you: it gives it to you like never before.