EU AI Act · comparison
EU AI Act vs GDPR: What Is Different, What Overlaps, and What You Still Need
GDPR compliance does not make you AI Act compliant. Side-by-side comparison of scope, obligations, documentation, fines and enforcement, with the overlaps you can reuse.
Classify my system in 3 minutesThe bottom line
GDPR is a data-protection law enforced by data protection authorities; the AI Act is a product-safety law enforced by market surveillance authorities. Doing GDPR well gives you perhaps a third of the AI Act file for a high-risk system (privacy notice, DPIA, Art. 22 rights) and none of the product-safety core (risk management system, technical documentation, conformity assessment, CE marking, EU database registration).
The most common assumption we hear from companies that have done the GDPR work: “we are covered”. They are not. GDPR regulates personal data; the EU AI Act regulates AI systems as products, whether or not they process personal data. A machine-vision system that inspects welds touches no personal data and can still be a high-risk system. A chatbot that stores nothing can still owe an Article 50 disclosure.
The two laws do overlap, and the overlap is where a GDPR-mature company saves the most time: DPIAs, records of processing, transparency notices and the Article 22 rights on automated decisions all map onto AI Act deliverables. This page shows where the reuse is real and where it is not.
Side by side
EU AI Act vs GDPR
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Where GDPR work counts toward the AI Act
- A DPIA (GDPR Art. 35) is a strong input for the AI Act risk management file and, for deployers, for the fundamental rights impact assessment (Art. 27); the AI Act says the two can be combined.
- Privacy notices already describe automated decision-making; extend them with the AI-specific disclosures and you cover Art. 50(2) expectations.
- Article 22 rights (human intervention, contesting a decision) are the same mechanism the AI Act expects in human oversight and Art. 86 explanations.
- Records of processing give you the data provenance and purpose limitation facts that the Art. 10 data governance record needs.
- Data protection officers usually become the natural AI compliance owner in SMEs.
Still needed
What GDPR does not cover
- Risk management system across the lifecycle (Art. 9), with testing against defined metrics.
- Annex IV technical documentation and Art. 12 automatic logging.
- Accuracy, robustness and cybersecurity requirements (Art. 15).
- Conformity assessment, EU declaration of conformity, CE marking, EU database registration (Arts. 43-49).
- Post-market monitoring plan and serious-incident reporting (Arts. 72-73).
- Prohibited practices that have nothing to do with personal data, such as manipulative techniques.
- AI literacy duty for staff (Art. 4), which applies even to minimal-risk systems.
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FAQ
Frequently asked questions
If my AI system processes no personal data, does the AI Act still apply?
Yes. The AI Act classifies by intended purpose, not by data. A predictive-maintenance system for a power grid processes no personal data and is high-risk under Annex III(2).
Can one document satisfy both laws?
Partly. The AI Act explicitly allows the fundamental rights impact assessment to build on a DPIA, and financial institutions can integrate AI Act duties into existing governance. The technical file and conformity assessment have no GDPR equivalent and must be produced separately.
Which authority will knock on the door?
For data issues, the data protection authority. For AI Act issues, the market surveillance authority designated by the Member State (in several countries the DPA has been given both roles). Fines can be cumulative if the same conduct breaches both laws.
This page is general information, updated 2026-09-19. It is not legal advice; always check current guidance for both frameworks against your specific system.