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AI for Beginners

Cloud AI or AI on your own device?

Beginner4 min read

Most people use AI that lives on the internet, but you can also run AI on your own computer. This guide explains the difference in plain terms and walks through the real trade-offs around privacy, cost, and capability so you can tell which suits you.

New here? Before this guide, you might want to read What is AI, really?.

In this guide, you will learn the difference between AI that runs on the internet and AI that runs on your own device, and how to tell which one fits your needs.

Two places the thinking can happen

When you type a message into ChatGPT, Claude, or Gemini, your words travel over the internet to a powerful computer in a data centre somewhere, the answer is worked out there, and it travels back to your screen. Because the work happens on those distant machines, often described as “the cloud,” this is called cloud AI.

There is another option. You can download an AI model onto your own laptop or phone and have it do the thinking right there, with nothing sent anywhere. AI that runs on your own device like this is called local AI.

Both are doing the same fundamental job. The difference is where the machine that does the thinking sits: in a company’s data centre, or on your desk.

Cloud AI is what most people mean when they talk about using AI, and for good reason. You do not need a powerful computer, because the heavy lifting happens elsewhere. You open a website or an app, type, and it works.

It also tends to be the most capable. The tools running in those data centres are enormous, far bigger than anything that would fit on a laptop, so they usually give the strongest, most polished answers.

The trade-off is that your words leave your device. For a shopping list this is nothing to worry about. For a confidential work document or something deeply personal, it is worth remembering that you are sending your text to another company’s computers.

Why you might run AI on your own device

Local AI flips those trade-offs around. Because nothing leaves your device, it is the private option: your words never touch the internet, which matters if you are working with sensitive information.

It can also work offline, on a train or a plane, and once you have set it up there is usually nothing more to pay. Many local tools are built on an open-source model, meaning the underlying AI has been made freely available for anyone to download and use.

The catch is capability and effort. The models that fit on a normal computer are smaller, so they are often less sharp than the big cloud tools. Setting them up takes a little more patience, and a very capable large language model can ask a lot of your device’s memory. This is genuinely more fiddly than opening a website, and that is a fair thing to weigh up.

Weighing it up

Neither option is better across the board; they suit different moments. Reach for cloud AI when you want the strongest answer with the least fuss, and it is the right starting point for almost everyone. Consider local AI when privacy is your top priority, when you are often offline, or when you enjoy tinkering.

Many people happily use both: a cloud tool for everyday tasks, and a local one for the handful of things they would rather keep entirely to themselves.

Try it yourself

You do not need to install anything to start thinking like this. For two minutes, picture three tasks you might hand to AI, and sort them by how private they are. Try asking a cloud tool this:

I want to decide which of my tasks are fine to send to a cloud AI and
which I'd rather keep private. Ask me a few questions about the kind of
work I do, then help me sort my tasks into "fine to share" and "keep
private."

Working through your own answers will tell you quickly whether you are a cloud-only person or someone who would value a local option too.

A common first instinct

A common first instinct is to assume that local AI must be better because it is private, or that cloud AI must be better because it is powerful. In truth, neither wins outright. You will make a better choice if you start from the task in front of you and ask what matters most this time: the sharpest possible answer, or keeping your words on your own device.

Next steps

With a sense of where AI can run, the natural next step is picking a tool and starting to talk to it well. Head into Prompt Craft and write your first prompt.

Try it yourself

Put this into practice with a ready-made prompt.

AnalysisBeginner

Document Summariser

Turn a long document into a clear summary at the length, focus, and reading level you need, so you can grasp the key points fast.

Use this prompt →

See it in action

Research & AnalysisBeginner10-15 minutes

How to summarise a long document with AI

Turn a long report, contract, or article into a clear summary you can actually use, in a few minutes. You will learn how to get the length and focus you want, and how to check the summary is faithful to the original.

Works with Claude, ChatGPT, Gemini