GDPR + EU AI Act: cómo se solapan y qué debe hacer tu empresa en 2026

RegTech · AI Act + GDPR GDPR and EU AI Act Overlap 2026: What Your Business Must Do Most AI systems that matter to your business process personal data. That means two regulatory frameworks apply simultaneously. The good news: their obligations overlap more than they conflict — one compliance effort can cover both.

The key tension: GDPR governs how personal data is processed — purpose limitation, data minimisation, subject rights. The EU AI Act governs how high-risk AI systems are designed and deployed — transparency, accuracy, human oversight. An AI recruitment tool, a credit scoring model, or a medical diagnostics system triggers obligations under both . Compliance requires coordination, not just parallelism.

Which AI systems trigger both frameworks? The EU AI Act's high-risk categories (Annex III) include systems used in:

Biometrics Remote biometric identification, emotion recognition, categorisation by sensitive characteristics Employment CV sorting, interview analysis, task allocation, performance monitoring, contract termination decisions Credit & insurance Creditworthiness assessment, risk profiling for life/health insurance, claims processing automation Healthcare Medical diagnostics, triage systems, treatment recommendations, medical device software All of these necessarily process personal data → GDPR applies. All fall into high-risk AI Act categories → AI Act applies. The overlap is total, not partial.

Where the obligations overlap Obligation area GDPR requirement AI Act requirement Single document covers both? Risk assessment DPIA (Art. 35) Conformity assessment (Art. 43) Yes — expanded DPIA covers both Transparency Privacy notice (Art. 13/14), automated decision rights (Art. 22) Instructions for use, transparency to deployers (Art. 13) Largely yes — combine notices Human oversight Right not to be subject to solely automated decisions (Art. 22) Human oversight measures mandatory (Art. 14) Yes — one policy covers both Documentation Records of processing activities (Art. 30) Technical documentation (Art. 11), logs (Art. 12) Partial — AI Act requires more technical depth Data quality Accuracy principle (Art. 5(1)(d)) Training data governance (Art. 10) Partial — AI Act adds bias testing

Practical compliance roadmap 1 Inventory your AI systems List every AI tool in use that touches personal data. Include third-party SaaS. Classify each by AI Act risk level (prohibited, high-risk, limited-risk, minimal-risk). 2 Run a combined DPIA + AI Act conformity assessment For high-risk AI systems that process personal data, a single expanded assessment document can satisfy both Art. 35 GDPR and Art. 43 AI Act. Get your DPO and legal team to co-sign. 3 Update your privacy notices Add a section explaining AI-driven decisions, the logic involved, and the individual's right to human review. This satisfies Art. 13/14 GDPR and Art. 13 AI Act transparency simultaneously. 4 Implement human oversight workflows For any consequential AI decision (hiring, credit, medical), build a documented human review step. This is the single biggest overlap — one process covers both Art. 22 GDPR and Art. 14 AI Act. 5 Register high-risk AI systems in the EU database From August 2026, deployers of high-risk AI systems must register in the EU AI Act public database. This is an AI Act-only obligation with no GDPR parallel.

FAQ If we are already GDPR compliant, are we also AI Act compliant?

Partially. GDPR compliance covers data governance and transparency obligations that overlap with the AI Act. But the AI Act adds new requirements — technical documentation depth, bias testing, accuracy benchmarks, mandatory human oversight mechanisms — that go beyond GDPR. Expect a 30–40% additional compliance effort for high-risk systems.

When do AI Act obligations kick in?

Prohibited AI practices: February 2025. High-risk AI systems (most enterprise use cases): August 2026. General Purpose AI models: August 2025. The phased timeline means high-risk compliance is the current priority.

Can a RAG system be high-risk under the AI Act?

A RAG system used purely for document Q&A (e.g. answering questions about internal policies) is typically minimal-risk. If it feeds into consequential decisions — medical triage, credit, employment — it may inherit the high-risk classification of the decision it supports. The use case determines the classification, not the underlying technology.

AI Act compliance Q&A — answered in seconds IgeraRegTech AI Act indexes the full regulation so your legal and compliance team can get instant, cited answers to any AI Act or GDPR overlap question.

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Updated: June 2026 | Sources: Regulation (EU) 2024/1689 (EU AI Act), Regulation (EU) 2016/679 (GDPR), EDPB Opinion 28/2024 on AI Act and GDPR interplay, European Commission AI Act implementation guidance | This article is informational; consult a data protection and AI law specialist for organisation-specific advice.

GDPR + EU AI Act: cómo se solapan y qué debe hacer tu empresa en 2026

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