The rapid expansion of generative AI is reshaping how information is produced, circulated and valued across Europe. Public‑interest media face growing pressure as synthetic content spreads quickly, AI models rely on scraped material with unclear provenance and smaller organisations struggle to protect or leverage the value of their work. The acceleration of content production also raises concerns about the balance between speed and accuracy, a tension that directly affects reliability across the information ecosystem.
Against this backdrop, The Data Tank convened European media organisations, researchers, civil society actors and policy experts to examine how the sector can strengthen its position in the AI era. The discussions highlighted shared concerns around fragmentation, accountability and the visibility of trusted information. Participants also reflected on how media organisations distinguish high‑quality information from low‑quality material, and how these signals can be expressed consistently across systems. Questions of technological sovereignty and Europe’s ability to shape its own information infrastructure were also present throughout the dialogue.
TEMS contributed to the conversation by outlining the role of a trusted, federated media data space. Through a collaboration involving forty‑two partners, the project is developing the technical and governance foundations that allow media organisations to share data securely, document rights consistently and make their content machine‑readable in responsible ways. High‑quality data is central to this work and is increasingly recognised as a strategic resource for media navigating AI‑driven environments.
Several themes from the event align closely with the challenges TEMS is designed to address. Media organisations need ways to maintain control over their content and rights information as it circulates across digital systems. They also need mechanisms that allow quality signals, provenance information and verification outputs to remain attached to content. These requirements point to the importance of shared infrastructure that supports cooperation without centralising control. TEMS offers such an environment by enabling content, metadata and rights information to remain connected as they move across systems. This includes emerging use cases such as licensing structured verification data to AI companies, which can support sustainability while improving the reliability of the information used to train and evaluate models.
The dialogue also underscored the importance of training and literacy on AI and data, which are essential for media organisations to benefit fully from shared infrastructure and participate meaningfully in the evolving digital environment. As European media continue to navigate the implications of generative AI, TEMS provides a practical, operational framework that responds to the sector’s needs and supports a more resilient and trustworthy information ecosystem.