AI, Innovation and Start-ups
Annette Miller ()
Additional contact information
Annette Miller: Hessisches Zentrum für Künstliche Intelligenz—hessian.AI
A chapter in Work and AI 2030, 2023, pp 29-36 from Springer
Abstract:
Abstract AI innovations that stem from scientific research can have a high economic potential. By supporting the exploitation of innovations with great socio-economic and -ecological impact by start-ups through policy, Germany has the opportunity to transfer the well-positioned scientific research into value creation. Even if only a small fraction of the projects will be successful in the market, the support is essential, as the effect radiates to the entire ecosystem. Because together with the research institutions, deep tech start-ups are drivers of innovation ecosystems. They not only attract established companies, investors and top talents, but are also a source of new start-ups and promote the diffusion of AI in the breadth.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-40232-7_4
Ordering information: This item can be ordered from
http://www.springer.com/9783658402327
DOI: 10.1007/978-3-658-40232-7_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().