Short answer: it depends on how you use it.
That's the part most people miss.
The EU AI Act doesn't regulate tools in isolation. It regulates how AI is used in real situations — especially when it affects people, decisions, or outcomes.
So asking "Is ChatGPT affected?" is really the same as asking:
How are we using it in our business?
If you want a quick answer for your own setup:
Why the question is more complex than it looks
It's tempting to think of ChatGPT as one thing.
But in reality, it can be used in very different ways:
- internal productivity tool
- customer-facing chatbot
- part of a SaaS feature
- decision-support system
Each of these can fall into a different risk category.
That's why there isn't a single yes or no answer.
Using ChatGPT internally
If your team uses ChatGPT for:
- writing
- research
- brainstorming
- summarizing
…this is usually considered low risk.
It helps your team work faster, but it doesn't directly affect other people.
That doesn't mean there are zero considerations (for example around data or usage policies), but from an AI Act perspective, the pressure is typically lower.
Using ChatGPT in customer-facing workflows
Things change when ChatGPT is used externally.
For example:
- customer support bots
- automated responses
- user-facing assistants
Now the system interacts directly with users.
Depending on what it does, this may introduce:
- transparency requirements
- expectations around reliability
- potential compliance considerations
The key question becomes:
Does this system influence how users are treated or what decisions are made?
Using ChatGPT inside a SaaS product
This is where it gets more interesting.
If you integrate generative AI into your product, the impact depends on the feature.
Examples:
- AI that summarizes content → usually low risk
- AI that suggests actions → depends
- AI that ranks or filters users → potentially high risk
Same underlying technology. Very different implications.
If you're building software, it's worth looking at this in more detail:
When ChatGPT usage becomes more sensitive
Risk increases when the output of the system:
- influences decisions about people
- affects access to services
- changes outcomes in a meaningful way
- is relied on without human oversight
At that point, it's no longer just a productivity tool.
It becomes part of a system that may fall under stricter requirements.
The biggest misconception
Many companies focus too much on the tool itself.
They ask: "Is ChatGPT regulated?"
Instead of asking: "How does our use of AI affect people?"
That shift in perspective is what makes the regulation easier to understand.
How to think about your own use
A simple way to assess your situation:
- Where are we using ChatGPT or similar tools?
- Is it internal or customer-facing?
- Does it influence decisions or outcomes?
- Could it affect people directly?
These questions are usually enough to get a strong first signal.
If you want a structured way to do this:
How this fits into the broader AI Act
ChatGPT is just one example of a broader category: generative AI.
To understand how it fits into the full regulation, it helps to look at the bigger picture:
And if you want to understand how different use cases are classified:
Next step: check your own use case
Reading about ChatGPT is useful.
But what really matters is your own setup.
The fastest way to get clarity is to map your actual use of AI and see where it lands.