Quick answer up front, since that’s really the question this post is about: public research and harmless text work can go straight into a cloud AI without a second thought, but customer data, contracts, and personnel files belong on a local or EU-hosted model — not on someone else’s server.
I’m no AI skeptic. Quite the opposite — I build AI into applications, and it saves me time every single day. But there’s a line, and for me it runs exactly where other people’s data comes into play.
Because if you dump a contract, a personnel file, or a customer’s support history into a US chat tool, you’ve just handed that data to an American provider. Maybe that’s contractually covered, maybe it isn’t. What’s certain is that you’ve given up control — for a convenience you can often get another way.
How serious this actually is shows up in a recent figure: 87 percent of German companies report theft, espionage, or sabotage — with cyberattacks alone causing €202.4 billion in damage (Bitkom, “Wirtschaftsschutz 2025”). Every extra copy of sensitive data sitting on someone else’s server is one more attack surface you don’t need.
It doesn’t have to be the big cloud
Here’s the nice part: open models like Llama or Mistral are good enough in 2026 for a surprising amount of work. Summarizing, classifying, rewriting text, extracting data — that runs on a decent machine in-house or at an EU provider. The data never leaves your yard.
Not for everything. For the really heavy tasks, the big models are (still) ahead, and for harmless experiments the cloud is completely fine. But mixing up “harmless” with “sensitive” is the actual problem.
Here’s how to sort it:
| Task | Cloud AI (e.g. ChatGPT) | Local AI (Llama/Mistral, EU) |
|---|---|---|
| Public text, research | fine | fine |
| Customer data, sensitive documents | avoid | this is where it belongs |
| Very heavy compute loads | often more practical | weigh it up |
The uncomfortable question
The AI Act is already stirring things up, and GDPR has always applied. Both come down to the same question you should ask yourself before every AI feature:
Would I also email this data to a provider whose servers I don’t know?
If the answer is no, the task doesn’t belong in someone else’s API. It really is that simple.
AI is a tool, not a creed. Use it — but decide deliberately what leaves your yard and what doesn’t.
Want to use AI without giving away your data? Let’s figure out what can run locally for you.