EU AI Act vs. GDPR 2026: Detailed SME Comparison

Wito AI

EU AI Act vs. GDPR 2026: Where They Overlap, Where They Differ

Both regulations apply at the same time — but they protect different things. This detailed comparison shows when the GDPR applies, when the EU AI Act applies, and when both trigger obligations cumulatively — with concrete use-case examples for SMEs.

Book GDPR + EU AI Act compliance Free Wito Digital Audit (WDA)

Two regulations, two protected interests: the GDPR (Regulation (EU) 2016/679) protects personal data and the privacy of natural persons. The EU AI Act (Regulation (EU) 2024/1689) protects people's safety and fundamental rights against AI systems — regardless of whether any personal data is processed.

Both regulations — what do they protect, and when do both apply?

The GDPR has been in force since 25 May 2018 and protects informational self-determination: every processing of personal data — analogue or digital, with or without AI — falls within its scope. Its core requirements are purpose limitation, data minimisation, the right of access, and the obligation to put a data processing agreement (DPA) in place when using third-party providers.

The EU AI Act entered into force on 1 August 2024 and protects safety and fundamental rights in relation to AI systems. It does not regulate individual data points but the AI system itself — its risk class, its documentation, the human oversight of its decisions. The key date for SMEs is 2 August 2026, when all high-risk obligations take full effect.

The decisive insight for mid-sized companies: if an AI system uses personal data — applicant data, customer data, employee data — both regulations apply cumulatively. Compliance requirements add up; they do not replace one another. A company that is already GDPR-compliant has laid part of the foundation — but has not yet met all the obligations under the EU AI Act.

According to the Bitkom guide to the EU AI Act and GDPR, 2024, the areas of overlap are particularly large for high-risk AI systems in HR, marketing personalisation and automated customer communication. For SMEs deploying AI tools through cloud services in particular, this creates a complex web of compliance.

4% turnover (GDPR) vs. 7% (AI Act)

Maximum fines compared

Quelle: Art. 83 GDPR + Art. 99 Regulation (EU) 2024/1689, 2024

2018 (GDPR) vs. 2025–2027 (AI Act)

Staggered entry-into-force years

Quelle: European Commission — EU AI Act transition periods, 2024, 2024

99 GDPR articles vs. 113 AI Act articles

Scope of the two frameworks

Quelle: Regulation (EU) 2016/679 + Regulation (EU) 2024/1689, 2024

27 EU member states

Territorial scope of both regulations

Quelle: European Commission — territorial scope of GDPR + AI Act, 2024, 2024

GDPR vs. EU AI Act: the 7 most important dimensions compared

A direct side-by-side comparison shows where the two frameworks run in parallel and where they differ fundamentally. All details reflect the legal position as of Q2 2026:

1. Protected interest

GDPR: personal data and privacy.
EU AI Act: people's safety and fundamental rights in relation to AI.

2. Scope

GDPR: all controllers that process personal data.
EU AI Act: AI providers and AI deployers (even without any personal data).

3. Risk classes

GDPR: no formal risk classes (but a DPIA is required for high-risk processing).
EU AI Act: four classes — unacceptable / high / limited / minimal risk.

4. Core obligations

GDPR: DPA, DPIA, records of processing, technical and organisational measures (TOMs), data-subject rights.
EU AI Act: risk-management system, technical documentation, human oversight, conformity assessment.

5. Competent authority (Germany)

GDPR: the BfDI plus the state data protection authorities.
EU AI Act: the Federal Network Agency (BNetzA) plus the BfDI where personal data is involved.

6. Sanctions

GDPR: up to EUR 20M or 4% of annual turnover (whichever is higher).
EU AI Act: up to EUR 35M / 7% (prohibited practices) or EUR 15M / 3% (high-risk).

7. Entry into force

GDPR: 25 May 2018 (directly applicable).
EU AI Act: 1 August 2024 → staggered through to 2 August 2026 (full effect for high-risk systems).

What the table does not show: the cumulative effect

For AI systems that process personal data, compliance runs on two levels at once. According to the BMWK FAQ on the EU AI Act, 2024, the cumulative application is deliberate: the EU AI Act "applies alongside" the GDPR — it neither limits nor overrides the GDPR's requirements.

For SMEs, this means: a data protection impact assessment (DPIA) under Art. 35 GDPR for an AI recruiting system does not yet cover the conformity assessment under Art. 43 of the EU AI Act. Both assessments are independent — even though they concern the same system and parts of the documentation can be reused.

Put positively: companies with clean GDPR documentation have a significant head start. Records of processing, the DPA register and existing DPIA structures can be extended rather than built from scratch. According to the Heinrich-Böll-Stiftung comparison of the two regulations, 2024, companies with robust GDPR compliance can cut their initial AI Act effort by 30–50%.

The requirements of the EU AI Act apply alongside those of the GDPR — for AI systems involving personal data, both regulations apply cumulatively. In this context the data protection authorities are also responsible for enforcing the AI Act requirements insofar as they touch on data protection.

Bundesbeauftragter für den Datenschutz und die Informationsfreiheit (BfDI), BfDI Tätigkeitsbericht 2024 — Stellungnahme zum EU AI Act, BfDI, 2024

Use case 1: applicant-screening AI — both regulations apply cumulatively

A mid-sized company deploys an AI tool that automatically scores incoming applications for fit against the job description and produces a shortlist of prioritised candidates. This scenario triggers obligations under both regulations at the same time.

GDPR obligations

Legal basis under Art. 6 GDPR: applicant data may only be processed with consent (Art. 6(1)(a)) or to take steps towards the employment relationship (Art. 6(1)(b)).
Right of access (Art. 15 GDPR): applicants have the right to be told which data is processed and what logic the AI decision is based on.
Obligation to erase (Art. 17 GDPR): data on rejected applicants must be deleted after a clearly defined period (typically six months after rejection).
DPIA (Art. 35 GDPR): automated decision-making with far-reaching consequences for applicants requires a data protection impact assessment.

EU AI Act obligations

High-risk classification (Annex III, point 4(a)): systems for automated applicant selection in the employment context are classified as high-risk — with no exception.
Conformity assessment (Art. 43 EU AI Act): a conformity assessment must be carried out before deployment or any substantial modification.
Transparency (Art. 13 EU AI Act): as the deployer, the company must inform applicants that an AI system is being used.
Human oversight (Art. 14 EU AI Act): HR staff must be able to review and correct the AI's decisions — no fully automated rejection without human control.

The upshot: anyone deploying this AI needs both a DPIA under the GDPR and a conformity assessment under the EU AI Act — two separate documents, even where their contents overlap. According to the Bitkom guide to the EU AI Act and GDPR, 2024, an integrated documentation process that works through both sets of requirements systematically is the recommended approach.

Use case 2: marketing automation with ChatGPT — separate responsibilities

An SME uses ChatGPT (GPT-4o) via the OpenAI API to automatically generate personalised emails to existing customers: product recommendations based on purchase history, personalised salutations, segment-specific content. Here too both frameworks apply — but with a different emphasis.

GDPR obligations

DPA with OpenAI (Art. 28 GDPR): if customer data — even just an email address and purchase history — is transmitted to the OpenAI API, OpenAI is a processor. A data processing agreement is mandatory. OpenAI offers a standard DPA that must be actively concluded.
Data minimisation (Art. 5 GDPR): only the data actually needed for the personalisation may be transmitted — no transfer of complete customer dossiers.
Legal basis for profiling (Art. 6 + Art. 22 GDPR): automated profiling for marketing purposes requires either consent or a legitimate interest backed by a balancing test.

EU AI Act obligations

GPAI rules (Art. 53 EU AI Act): ChatGPT qualifies as a general-purpose AI model (GPAI). From 2 August 2025, OpenAI as the provider must meet transparency obligations and publish usage policies. As the user, you must check that OpenAI is meeting these duties.
No high-risk classification: generating marketing emails does not fall under Annex III of the EU AI Act — no conformity assessment is required.
Transparency towards recipients: where AI-generated text could be mistaken by recipients for something written by a human, labelling under Art. 50 EU AI Act should be considered.

The upshot: for marketing automation with ChatGPT, the GDPR takes centre stage — particularly the DPA and data minimisation. The EU AI Act plays a secondary role (no high-risk obligations), but the GPAI requirements on OpenAI as the provider must be verifiable.

Practical consequences for SMEs: combining compliance efficiently

The good news: a smart compliance strategy treats the GDPR and the EU AI Act as one integrated system, not as two separate projects. The following synergies are especially relevant for SMEs:

Integrate the documentation

Extend the DPIA: existing data protection impact assessments under Art. 35 GDPR can be combined with the risk-management requirements under Art. 9 of the EU AI Act — one risk assessment, two regulatory requirements met.
Records of processing as the basis: the GDPR records of processing (Art. 30 GDPR) provide the inventory of systems on which the AI register for the EU AI Act can be built.
DPA and deployer obligations: the OpenAI DPA under the GDPR can be bundled with the EU AI Act deployer documentation into a single provider record.

Consolidate responsibilities

The EU AI Act does not require a formal "AI officer", but it does recommend a named responsibility for AI compliance. In practice, the recommended approach is for the data protection officer (DPO) to take on responsibility for AI Act compliance, or to be supported by an "AI officer" who works closely with the DPO. According to the BMWK FAQ on the EU AI Act, 2024, this overlap of roles is expressly permitted and saves substantial coordination costs.

The upshot: companies that treat the GDPR and the EU AI Act as one integrated compliance framework cut their overall effort by 30–50% compared with handling them separately — while achieving more consistent documentation.

Frequently asked questions: EU AI Act vs. GDPR for SMEs

No. The EU AI Act does not prescribe its own officer role. In practice, the recommended approach is to place responsibility for AI Act compliance with the existing data protection officer (DPO), or to appoint an "AI officer" who works closely with the DPO. The BMWK explicitly confirms in its 2024 FAQ that combining the two roles is permitted and sensible. For SMEs with no mandatory DPO, a named internal person or an external compliance provider is sufficient.

Partly, yes. A DPA under Art. 28 GDPR and the EU AI Act deployer documentation cover different obligations, but both can be brought together in a structured provider record. The records of processing (GDPR) and the AI system register (AI Act) in particular can be maintained as one integrated document. They are not entirely identical — the EU AI Act additionally requires evidence of the conformity assessment and of human oversight, which goes beyond the GDPR requirements.

The GDPR has been actively enforced since 2018 — in Germany by the state data protection authorities and the BfDI. The EU AI Act is being enforced in stages from 2025: prohibited practices from February 2025, high-risk obligations from August 2026. In Germany the Federal Network Agency (BNetzA) is expected to act as the market surveillance authority; the BfDI is responsible where there are data protection overlaps. The first notable AI Act fines are expected in 2026/2027. The data protection authorities will also review AI Act aspects insofar as personal data is involved.

A DPIA (data protection impact assessment) is a structured risk assessment under Art. 35 GDPR. It is mandatory where a processing operation is likely to result in a high risk to the rights and freedoms of natural persons — in particular for automated decisions, extensive profiling and the processing of special categories of data. The DPIA documents which data is processed, what risks exist, which technical and organisational measures (TOMs) will be taken against them, and whether the residual risk is acceptable. For high-risk AI systems, it is advisable to extend the DPIA to include AI-Act-specific risk assessments.

A conformity assessment under Art. 43 of the EU AI Act is the formal check of whether a high-risk AI system meets the requirements of the regulation — in terms of risk management, data quality, technical documentation, transparency and human oversight. For many high-risk systems, a self-assessment by the provider is permitted (without an external assessment body). As the deployer, you must check the provider's declaration of conformity and ensure you only use the system for its intended purpose. The conformity assessment is not the same as a DPIA — it covers different areas of requirement.

If your AI system processes no personal data, the GDPR does not apply (to that system). The EU AI Act, however, applies regardless. An AI quality-control system on the production line that analyses only product images and processes no personal data is still subject to the EU AI Act. In that specific case the risk class must be checked: safety-critical production systems can be classified as high-risk (Annex III, point 2). For pure image or process analytics with no personal reference, the risk is often minimal — but an explicit check is still required.

The biggest overlaps arise for high-risk AI systems that process personal data. Both the DPIA (GDPR) and the risk-management system (EU AI Act) require a risk analysis — focused differently, but structurally similar. Technical and organisational measures (TOMs under the GDPR) and technical robustness requirements (EU AI Act) overlap on security, access control and encryption. Transparency obligations towards affected individuals (GDPR) and transparency obligations towards users (EU AI Act) can be met in one integrated document. Logging obligations (GDPR) and log requirements (EU AI Act) can be combined technically.

That depends on the type of breach. GDPR breaches are reported to the competent state data protection authority (depending on the company's location) or to the BfDI. Serious personal data breaches must be reported within 72 hours (Art. 33 GDPR). EU AI Act breaches are reported to the national market surveillance authority (in Germany, expected to be the BNetzA). Where an AI system involves both data protection breaches and AI Act breaches, both authorities may potentially be responsible — and the BfDI coordinates on the data protection aspects of the AI Act. Early coordination with a compliance adviser is strongly recommended for serious incidents.

GDPR + EU AI Act compliance: integrated, efficient, legally sound

Wito AI guides SMEs through combined GDPR and EU AI Act compliance — from an integrated risk analysis to complete documentation. Build on your existing GDPR foundation and cut your AI Act compliance effort by 30–50%.

Book GDPR + EU AI Act compliance Free Wito Digital Audit (WDA)