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Nordic AI Union Pre-study: A Comparison of the State of Elements of AI Ecosystems from Four Workshops in Tallinn, Oslo, Reykjavik and Helsinki
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Number of Authors: 5
Responsible organisation
2026 (English)Book (Other academic)
Abstract [en]

This project helped strengthen the Nordic-Baltic AI ecosystem in line with the EU AI Act. Its goal was to understand what kind of support, resources, and regulatory guidance companies need to develop and bring AI solutions to the market. The project also explored how Nordic countries can work together more effectively to support future AI innovation. The study involved 103 participants, including AI companies, support organizations, investors, regulators, and public sector actors. Through interviews and workshops held across the Nordic and Baltic region, the project identified current strengths, gaps, and opportunities in the AI ecosystem. As a result, it produced a clearer overview of available AI support services, practical recommendations for improving collaboration, and a proposed roadmap for creating a more accessible and coordinated AI innovation environment across the region.

Place, publisher, year, edition, pages
Copenhagen: Nordisk Ministerråd, 2026. , p. 55
Series
TemaNord, ISSN 0908-6692 ; 2026:530
National Category
Engineering and Technology
Research subject
Nordic Solutions; Digitization; Creative industries; Economy; Economy, Business and Working Life; Innovation; Information Technology; Organisation and administration; Regional policy; Research
Identifiers
URN: urn:nbn:se:norden:org:diva-13843DOI: 10.6027/temanord2026-530ISBN: 978-92-893-8499-5 (electronic)ISBN: 978-92-893-8500-8 (electronic)OAI: oai:DiVA.org:norden-13843DiVA, id: diva2:2095981
Available from: 2026-08-27 Created: 2026-08-27 Last updated: 2026-08-27

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456789107 of 10
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf