EU AI Act vs GDPR: Key Differences for Businesses

The EU AI Act and the GDPR are two distinct legal frameworks: the GDPR governs the processing of personal data, while the AI Act regulates the development and use of AI systems, including those that process personal data. Businesses using AI must comply with both, and the key difference lies in their focus, scope, and enforcement mechanisms. This article explains how the two laws interact and what your business needs to know to stay compliant.

Background: Why Two Laws?

The GDPR (General Data Protection Regulation) has been in force since May 2018 and is the EU’s cornerstone data protection law. It applies to any organisation processing personal data of individuals in the EU, regardless of where the organisation is based. The AI Act, adopted in 2024, is a product safety and fundamental rights law that regulates AI systems based on their risk level. It was created to address the unique challenges posed by AI, such as bias, transparency, and accountability, which the GDPR was not designed to handle comprehensively.

The two laws are complementary: the GDPR focuses on how personal data is processed, while the AI Act focuses on how AI systems are developed and used. A business using AI to process personal data must satisfy both, and the AI Act often builds on GDPR concepts like data governance and transparency.

Scope: Who and What Is Covered?

The GDPR applies to all processing of personal data, whether automated or manual. It covers any data that relates to an identified or identifiable person, such as names, email addresses, IP addresses, or biometric data. The AI Act, on the other hand, applies to AI systems as defined in the regulation – broadly, software that can generate outputs such as predictions, content, or decisions. It covers providers (who develop AI systems) and deployers (who use them), with different obligations depending on the risk category.

• GDPR: Applies to any organisation processing personal data of EU residents, regardless of the technology used.
• AI Act: Applies to AI systems placed on the EU market or used within the EU, with extra-territorial reach similar to the GDPR.

If your business uses a chatbot that collects customer names, both laws apply. The GDPR governs the collection and storage of the names; the AI Act governs the chatbot’s behaviour, such as whether it can make decisions about customers.

Key Differences in Requirements

The most significant differences lie in the obligations each law imposes:

Risk-Based Approach

The AI Act uses a four-tier risk pyramid: unacceptable, high, limited, and minimal. Unacceptable risk systems (e.g., social scoring) are banned. High-risk systems (e.g., those used in employment, credit scoring, or critical infrastructure) must meet strict requirements like risk management, data quality, and human oversight. Limited risk systems (e.g., chatbots) must disclose that users are interacting with an AI. Minimal risk systems have no extra obligations.

The GDPR does not categorise processing by risk level in the same way. Instead, it distinguishes between regular and special category data (e.g., health, race, political opinions), which requires a higher level of protection. It also requires a Data Protection Impact Assessment (DPIA) for processing that is likely to result in a high risk to individuals’ rights.

Data Governance vs. Data Protection

The AI Act emphasises data governance – ensuring training, validation, and testing data are relevant, representative, and free of bias. It requires documentation of data sources and data processing practices. The GDPR focuses on data protection principles like purpose limitation, data minimisation, and storage limitation. While both require transparency, the AI Act’s transparency is about the AI system’s capabilities and limitations, whereas the GDPR’s transparency is about how personal data is used.

How the Two Laws Interact

In practice, the AI Act and GDPR overlap in several areas:

• Data Protection Impact Assessment (DPIA): The AI Act requires a Fundamental Rights Impact Assessment (FRIA) for high-risk systems. This can be combined with a GDPR DPIA, as the European Data Protection Board has suggested.
• Automated Decision-Making: The GDPR has specific rules on automated decision-making, including profiling, that produces legal or similarly significant effects. The AI Act adds requirements for human oversight and the right to an explanation.
• Transparency: Both laws require clear information to individuals. The GDPR mandates privacy notices; the AI Act requires that users be informed when they are interacting with an AI system.

For example, if your business uses an AI tool to screen job applicants, you must:

1. Conduct a DPIA under the GDPR because the processing is high risk.
2. Conduct a FRIA under the AI Act because the system is high risk.
3. Provide a privacy notice explaining how applicant data is used.
4. Inform applicants that the screening is automated and provide a way to request human review.

Compliance Strategies for Businesses

To comply with both laws, businesses should adopt a unified approach:

• Inventory your AI systems: List all AI systems you use or develop, and classify them under the AI Act’s risk categories.
• Map data flows: Identify what personal data is processed by each AI system, and document the legal basis under the GDPR.
• Conduct joint assessments: Combine DPIA and FRIA processes to avoid duplication and ensure consistency.
• Update contracts: If you use third-party AI providers, ensure your data processing agreements cover both GDPR and AI Act obligations.
• Train staff: Ensure employees understand their responsibilities under both laws, especially around human oversight and transparency.

It is also wise to monitor the European Data Protection Board’s guidance on the interaction between the two laws, as more detailed interpretations are expected.

Common Misconceptions

One common misconception is that the AI Act replaces the GDPR. It does not – the AI Act explicitly states that it is without prejudice to the GDPR. Another is that only large tech companies are affected. In fact, the AI Act applies to any business that uses AI in the EU, including small and medium-sized enterprises, though some obligations are scaled for SMEs.

Another misconception is that the AI Act only applies to developers. Deployers – businesses that use AI systems – also have obligations, such as ensuring the system is used in accordance with its instructions and monitoring for risks.

Enforcement and Penalties

The GDPR is enforced by national data protection authorities, with fines up to €20 million or 4% of global annual turnover, whichever is higher. The AI Act is enforced by national market surveillance authorities, with fines up to €35 million or 7% of global turnover for prohibited practices, and up to €15 million or 3% for other violations. While both laws have extraterritorial reach, the AI Act’s enforcement is still being set up, with authorities designated by each member state.

For businesses, the practical implication is that non-compliance with either law can be costly, both financially and in terms of reputation. It is essential to take both seriously and integrate compliance into your AI governance framework.

Frequently Asked Questions

Does the AI Act apply to my business if I only use AI for internal processes?

Yes, if the AI system is used within the EU and your business is a deployer, the AI Act applies. For example, using an AI-based recruitment tool internally is covered. However, if the system is low-risk, your obligations are minimal, but you still need to comply with transparency requirements.

Can I use the same DPIA for both GDPR and AI Act compliance?

Yes, the European Data Protection Board has suggested that a combined DPIA/FRIA can be conducted, as long as it covers both data protection and fundamental rights impacts. This is efficient and recommended for high-risk AI systems.

What should I do if my AI system is already in use before the AI Act applies?

The AI Act has a phased timeline: most provisions apply from August 2026, with some earlier for prohibited practices. If your system is already in use, you should start assessing its risk classification and begin preparing the required documentation now.

Are there any exemptions for small businesses?

The AI Act includes some exemptions and simplifications for SMEs, such as reduced documentation requirements for high-risk systems. However, SMEs are not exempt from the core obligations, and the GDPR applies equally to all sizes of organisations.

What is the biggest challenge for businesses in complying with both laws?

The biggest challenge is the overlap and potential for conflicting requirements. For instance, the GDPR requires data minimisation, while the AI Act may require large datasets for training. Businesses must balance these by using techniques like anonymisation or synthetic data where possible, and by documenting the rationale for their data use.

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