Austria wins top prize in digital government competition
Translated from German and summarized by DistantNews. Read the original for the full story.
At a glance
- Austria won first place at the 25th eGovernment competition for its Public AI Initiative with Large Language Model as a Service.
- The Federal Computing Centre provides secure, centralized AI infrastructure that lets public authorities understand, summarize and create text.
- State Secretary for Digitalization Alexander Prรถll said the award supports Austriaโs plan to make sovereign AI solutions available across government.
Austria took first place at the 25th eGovernment competition during the Ministerial Congress in Berlin, winning recognition for its Public AI Initiative with Large Language Model as a Service, or LLMaaS.
The initiative was jointly submitted by the Federal Chancellery and the Federal Computing Centre, known as BRZ. It won in the category โDigitalization boost through AI and modern infrastructure,โ the Chancellery said in a statement.
BRZ provides the infrastructure centrally as a secure service. Public authorities can use AI language models to understand, summarize and produce texts. Austria launched the initiative at the beginning of 2026.
The independent expert jury recognized Austriaโs government-wide approach, which aims to deploy AI use cases and shared services securely, with national control and at scale, across all levels of administration.
Digitalization State Secretary Alexander Prรถll of the Austrian Peopleโs Party said the award confirmed the governmentโs chosen course. โWe do not want to stop at individual pilot projects, but make secure and sovereign AI solutions available to the administration as shared infrastructure,โ Prรถll said. GovGPT and ida are already in use, while AI in electronic files represents the next stage.
We do not want to stop at individual pilot projects, but make secure and sovereign AI solutions available to the administration as shared infrastructure.
Originally published by Die Presse in German. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.