Definition · Plain-language
General-purpose AI (GPAI)
GPAI stands for general-purpose AI — models capable of competently performing a wide range of distinct tasks and being integrated into many downstream systems.
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What general-purpose AI means
A general-purpose AI model is one that displays significant generality and can competently perform a wide range of distinct tasks, regardless of how it is placed on the market, and that can be integrated into a variety of downstream systems or applications. Large language models that power chatbots, coding assistants and content generators are the most familiar examples. The EU AI Act treats GPAI models as a distinct category because a single model can be reused across countless products, so obligations attach at the model level rather than only to each end-use application.
Obligations under the EU AI Act
Under the Act, providers of GPAI models must prepare and keep up to date technical documentation, provide information to downstream providers who integrate the model, put in place a policy to respect EU copyright law, and publish a sufficiently detailed summary of the content used for training. These transparency and documentation duties aim to give regulators and downstream developers visibility into how a model was built. The obligations for GPAI models began to apply from August 2025, with the European AI Office overseeing them.
Systemic-risk GPAI
The Act creates a stricter sub-category for GPAI models that pose systemic risk — broadly, the most capable models whose reach could have significant effects across the market or society. Providers of these models face additional obligations, which can include model evaluations, adversarial testing, assessing and mitigating systemic risks, ensuring cybersecurity and reporting serious incidents. A voluntary GPAI Code of Practice, published in 2025, was developed to help providers demonstrate compliance with these duties ahead of harmonised standards.
Key facts
At a glance
- Definition: AI models with broad generality, usable across many tasks and systems.
- Stands for: General-Purpose AI.
- Examples: Large language and multimodal foundation models.
- Core duties: Technical documentation, downstream information, training-data summary.
- Systemic risk: Extra duties for the most capable models (evaluation, incident reporting).
- Applies from: August 2025 under the EU AI Act, overseen by the AI Office.
Common misconceptions
What people often get wrong
Often heard: GPAI and high-risk AI systems are the same regulatory category.
Actually: They are distinct. GPAI rules apply to general-purpose models themselves; the high-risk regime applies to specific AI systems used in sensitive domains. A GPAI model and a high-risk system are governed by separate sets of obligations.
Often heard: All GPAI models face the same obligations under the EU AI Act.
Actually: The Act distinguishes ordinary GPAI models from those posing systemic risk. The latter, broadly the most capable models, carry additional duties such as model evaluation, risk mitigation and serious-incident reporting.
Often heard: The GPAI Code of Practice is legally binding on providers.
Actually: The Code of Practice is a voluntary instrument designed to help providers demonstrate compliance. Adherence is one way to show conformity, but the binding obligations come from the Regulation itself.
Going deeper
