What happens to language when AI writes for us?

AI has quickly become part of our daily writing. We use AI to write emails, summarise reports, formulate posts, translate texts and find new ways to express ourselves. For many companies, AI tools have become a practical support in communication.

It is easy to understand why. AI can save time, provide structure and help us past the initial blank page. But as more and more texts begin with a prompt, a larger language issue is also raised:

What happens to language when AI writes for us?

The question does not have to be about fear of technology. Language has always been changed by new tools and new ways of communicating. The printing press, email, social media and chat apps have all affected how we write. Now AI is affecting language in a similar way, but at a significantly higher speed.

AI has already moved into writing

The use of generative AI tools is increasing rapidly. According to Statistics Sweden (SCB), the proportion of people aged over 16 who have used generative AI tools has increased from 25 per cent in 2024 to 37 per cent in 2025. According to the Internet Foundation, 4 in 10 Swedes aged 8 and above use AI tools, and according to them, ChatGPT is the most used tool.

This means that AI is no longer something that is only used by tech enthusiasts. AI is in schools, in the workplace, in marketing, in customer service and in many companies' internal communication.

For businesses, this can mean major benefits. Drafts are quicker to produce. Texts can be summarised in a few seconds. Translations can be done instantly. But when many people use the same type of tool, a risk also arises: that more texts begin to have the same tone, the same structure and the same type of phrasing.

When the text is correct yet still not quite right

An AI text can be grammatically correct, well-structured and comprehensible. Even so, it can feel impersonal. It can lack tone, direction and human sharpness.

It is often not the major linguistic errors that make an AI-generated text feel weak. Rather, it is that the text ends up sounding too bland. It says the right things, but in a way that many other texts also say them. The phrasing becomes generic, polite and polished, but not always particularly incisive.

It is important for businesses to understand this.

A text should not just be correct. It should also feel like the sender. It should suit the target audience, the context and the brand's way of expressing itself.

If everyone uses the same tools without processing the output, many corporate texts risk starting to sound more generic. That causes some of what makes the communication credible to be lost.

When the same tool shapes multiple texts

AI tools are not neutral typewriters. They are built on patterns in vast amounts of text and can therefore also pass on certain linguistic habits, tones and modes of expression.

Språktidningen has reported on a Cornell study in which the writing styles of American and Indian writers became more similar when they used AI support. In particular, Indian English became more similar to American English. This does not mean that the same trend automatically occurs in all languages or contexts, but it does show that AI can influence more than just spelling, grammar and structure.

For Swedish companies, this can be seen in more subtle ways. Texts may take on the same structure, the same polite tone, the same overly clear transitions and the same kind of summarising conclusion. They become effective, but lose the company’s own voice. And in communication, that is often what makes all the difference.

Writing is also a way of thinking

Writing is not just about producing text. It is also a way of thinking.

When we formulate a sentence, we are forced to sort out what we actually mean. When we rewrite a paragraph, we often discover that the message needs to be clearer. When we choose between two words, we exercise our linguistic intuition.

If AI does too much of that process for us, we risk skipping an important step. We get a finished phrasing, but not always a finished message.

That does not mean that companies should stop using AI. On the contrary, AI can be a very useful tool. But there is a difference between using AI as a sounding board and letting AI do all the thinking.

The Institute for Language and Folklore writes that generative AI can be a support throughout the entire writing process, but simultaneously emphasises that the writer themselves is responsible for the text and must check the result. That is a good starting point for companies as well.

What does this mean for translation?

In translation, the question becomes extra clear.

AI can translate large amounts of text in a short space of time. In some cases, this can be useful, for example, to quickly understand the content of a text or to produce a first draft. However, professional translation is not simply a matter of replacing words from one language with those of another.

It’s all about tone, terminology, culture, target audience and context. A way of phrasing something that works in English might not work in Swedish. A word might be correct in a more literal translation, but incorrect in the context of the industry. A sentence might be understandable, yet still not sound natural because the flow is off.

That is why human language competence still plays a major role. Particularly when the text is to be published, used in customer communication or form the basis for important decisions.

A translator doesn't just see what it says. A translator sees what the text is meant to do.

Use AI as support, not the final version

The most sensible way forward is not to rule out AI. It is to use AI with linguistic awareness.

AI can help companies get started, find structure, summarise content and test different phrasings. But before the text is used, someone needs to review it with expertise and a human eye.

Is the message correct?
Does the text sound like the sender?
Is the tone right for the target audience?
Have the facts, nuances or terminology changed along the way?
Are there any phrases that have become too general, too formal or too vague? That is often what determines the quality. It is not whether the text looks correct at first glance, but whether it works within its context.

Language still needs people

AI will continue to influence how we write, read and translate. It makes text work faster and can be a valuable support. But it does not change what is required for a text to build trust.

For businesses, it is not enough to quickly produce a text that is correct and well-formulated on the surface. It also needs to be clear, credible and tailored to the right recipient. It needs to convey the right tone, the right meaning and the right feeling for the context.

As more and more texts are produced using AI, human review therefore becomes even more important. Someone needs to determine whether the text actually says what it is meant to say, whether any nuances have been lost, and whether the phrasing sounds natural.

AI can help us write. But it is still people who understand why the text is being written, who it is aimed at and what it needs to achieve.

That is why the texts of the future do not require less linguistic knowledge. They require a greater sense of language, more careful consideration and more thorough scrutiny.

Do you need help with translation or proofreading?

Språkbolaget helps companies with professional translation, proofreading and language services where both precision and tone matter. Whether the text is written from scratch, translated, or produced with AI support, we ensure it is clear, correct, and tailored to the right recipient.