If you've already dealt with GDPR, the EU AI Act might feel familiar at first.
Both are EU regulations. Both focus on protecting people. And both can affect how your business operates.
But they are not the same thing.
Understanding the difference is important — especially if you're building or using AI in your company.
If you want a quick answer for your own situation:
The short answer
GDPR is about data. The AI Act is about how AI is used.
They overlap — but they focus on different risks.
- GDPR protects personal data
- The AI Act regulates AI systems and their impact
Most companies dealing with AI will need to think about both.
GDPR vs EU AI Act comparison table
| Topic | GDPR | EU AI Act |
|---|---|---|
| Main scope | Processing of personal data. | Development, placing on the market and professional use of AI systems. |
| Core question | Are we collecting, using or sharing personal data lawfully? | What does the AI system do, who is affected, and what risk category applies? |
| Definitions | Personal data, controller, processor, data subject, processing. | AI system, provider, deployer, importer, distributor, high-risk AI, GPAI model. |
| Legal basis | Consent, contract, legal obligation, vital interests, public task or legitimate interests. | Risk-based product and usage obligations; not built around GDPR-style legal bases. |
| Risk focus | Privacy, confidentiality, fairness and rights of people whose data is processed. | Safety, fundamental rights, transparency, human oversight and system-level governance. |
| Fines | Up to €20 million or 4% of annual worldwide turnover for the highest tier. | Up to €35 million or 7% of annual worldwide turnover for prohibited practices, with other tiers for other infringements. |
| Timeline | Applied from 25 May 2018. | Entered into force in August 2024, with phased obligations from 2025, 2026 and later dates depending on the rule. |
Why GDPR compliance is not enough
A company can have strong GDPR processes and still miss AI Act obligations. GDPR can tell you whether personal data processing is lawful, but it does not classify an AI system as high-risk, require AI-specific technical documentation, or decide whether a transparency notice is needed for a chatbot.
That means AI governance needs a second layer. Start with your GDPR data map, then add an AI system inventory: intended purpose, users, affected people, decision impact, human oversight, vendor role, and risk category.
What GDPR focuses on
GDPR is centered around personal data.
It applies when you:
- collect data
- store data
- process data
- share data
The goal is to protect individuals' privacy and control over their information.
Example: If your system uses personal data, GDPR is almost always relevant.
What the EU AI Act focuses on
The AI Act focuses on how AI systems are used and what impact they have.
It looks at:
- decision-making
- risk levels
- how people are affected
Example: An AI system that ranks job candidates may be high risk — even if it doesn't process sensitive data.
This is where the AI Act goes beyond GDPR.
If you want a full overview:
Where GDPR and the AI Act overlap
In many cases, both regulations apply at the same time.
For example: an AI system that uses personal data AND makes decisions about people.
Now you have:
- GDPR → data protection
- AI Act → system risk and usage
This overlap is common in:
- hiring systems
- customer scoring
- SaaS platforms with AI features
Example: hiring system
Let's take a simple example.
A company uses AI to process CVs and rank candidates.
GDPR applies because personal data is processed.
AI Act applies because decisions affect access to jobs.
Same system. Two different regulatory angles.
If you want more examples like this:
Example: internal AI use
Now compare that to internal use.
A team uses AI for writing, summarizing, and brainstorming.
GDPR may still apply (if personal data is used). AI Act pressure is usually lower.
The difference is impact on people.
Key differences at a glance
GDPR:
- Focus: personal data
- Risk: privacy
- Applies when data is processed
AI Act:
- Focus: AI systems
- Risk: impact on people
- Applies based on use case
One is about data. The other is about decisions.
Why companies get this wrong
Many companies assume: "If we are GDPR compliant, we are covered."
That's not true.
GDPR does not address:
- how AI decisions are made
- risk classification
- system-level obligations
The AI Act introduces a new layer.
What this means in practice
If you use AI in your business, you should:
- understand your data usage (GDPR)
- understand your AI use cases (AI Act)
- look at where they overlap
- focus on real risk areas
You don't need to solve everything at once. You need clarity first.
How to get started
The easiest way to start is not to compare regulations in theory.
It's to map your actual use of AI.
That tells you whether the AI Act applies, where your risk sits, and what to do next.
Want to go deeper?
If you want to understand the AI Act in more detail:
If you want to understand how systems are classified:
Next step
GDPR and the AI Act are not competing regulations.
They are complementary.
The sooner you understand how they apply to your business, the easier everything else becomes.