The analogy

Think of someone who grew up speaking English and studied Italian as an adult. They speak it well, they make themselves understood, maybe excellently. But in idioms, in nuances, in jokes and when under pressure, they still "think" in their mother tongue and translate. Every so often a calque slips out, a slightly English construction.

The AI is that speaker. A native English speaker in practice, excellent in Italian, but with English as its deep reference. The more it's been exposed to real, quality Italian, the less you feel the translation underneath; the less good Italian it has seen, the more the answers taste of a translated version.

How it really works

Almost all the training text is in English: the other languages share a small slice. Worse, much of the non-English material is made of mediocre translations of English content, not original writing: so, even when an AI seems multilingual, it's sometimes just reworking badly-translated English, with unnatural results. The very present and rich languages — English, and after it French, German, Italian — are handled well; those with little data far less so. The difference in quality between models on the same Italian depends on how much genuine Italian each one has absorbed.

What you can do in practice

  • For everyday tasks, go ahead and write in Italian: to write an email, summarize, have something explained to you, it's perfectly fine.
  • For a hard or very technical task, try the request in English, or ask the AI to "reason in English and answer me in Italian": the quality often goes up.
  • If an AI's Italian sounds wooden or translated to you, switch tools: they're not all the same on this.
  • Check with extra care the idioms and the typically Italian references (regulations, taxes, customs): that's where the "second language" stumbles most.

A common misconception

People take for granted that the AI "knows" Italian like a native speaker. Often, instead, it's processing an internal representation closer to English and rendering it in Italian, hence every so often unnatural sentences, calques, wrong nuances. It's not a speaker born here: it's a very good translator. That's why it's best not to trust it blindly on idioms and local details.

Frequently asked questions

Should I write to the AI in Italian or English?

In Italian for everything everyday, where the difference isn't felt. In English when the task is hard, technical or requires maximum precision: there the model's strong ground helps, and you can always have it answer you in Italian.

Which AI is best in Italian?

The ones that have absorbed more authentic, quality Italian, and it changes from model to model. The most reliable way to find out is to try a couple of them on the same task and see which sounds most natural and least "translated".

Does the AI lose quality when it translates between languages?

It can lose it, especially on nuances, wordplay and cultural references. A workmanlike translation comes out well; a text that lives on tone and double meanings should be reread and touched up by you.

Is a fluent Italian answer also more reliable on Italian facts?

No, and it's a trap. The smoothness of the language doesn't guarantee the accuracy of the content: an AI can write in impeccable Italian something wrong about a law, a tax deadline or a local custom. The fine form reassures, but on the rules and details of our country, verification remains necessary.