In the Chamber’s view, regulatory clarity and high-quality, accessible data are of key importance for AI development

The Chamber sent its opinion to the Ministry of Justice and Digital Affairs on the European Union’s data union strategy and AI implementation strategy, which address solutions for improving businesses’ access to high-quality data for AI development, accelerating AI uptake, and promoting the free movement of data.

Data availability, quality, and the role of data labs
In the Chamber’s view, the main bottleneck is not the lack of data, but rather its fragmentation, differing formats, and limited accessibility. Data spaces and data labs can only be effective if they ensure businesses real and predictable access to high-quality data and help overcome market failures without duplicating private-sector services.

Data quality requirements must also be risk-based and proportionate in order to support the practical use of data in innovation.

The once-only principle for data collection
In the Chamber’s view, the efficient use of data requires genuine interoperability between systems and the consistent application of the once-only principle in data collection. If businesses are asked to provide the same data repeatedly or in different formats, the administrative burden increases and their ability to focus on innovation declines.

The added value of artificial intelligence often arises from the integration of different business systems — for example, e-commerce, ERP, and logistics solutions. For that reason, technical standards must make system integration easier and must not create new costly adaptation or transition obligations for businesses.

Clarity in regulation and proportionality
As the combined effect of several parallel data regulations may be complex in practice, the Chamber supports the objective of simplifying European Union data rules and reducing overlap between them. Businesses need legal clarity and understandable guidance for AI development so that they can interpret and apply the requirements consistently.