Artificial intelligence and innovation
Publication date
2025-09-09
Document type
Sammelbandbeitrag oder Buchkapitel
Author
Editor
Windeler, Arnold
Organisational unit
Publisher
Springer
Book title
Handbook of innovation
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Keyword
Künstliche Intelligenz
Innovation
Wertschöpfungsketten
Abstract
Artificial intelligence technologies (AI) have been heralded as the next industrial revolution in the current state of globalized digital capitalism, with the potential to bring higher productivity gains, the automation and substitution of significant labor tasks, and new forms of innovation and business models. While the automation and augmentation potentials of AI technologies receive a lot of attention, the reconfiguration of innovation processes has also become a research focus in recent years. In this chapter, we situate the innovation dynamics of current AI production within the broader industrial developments and strategies towards a digital economy in which (digital) data plays an increasingly important role in forming new value chains. There are two sides to this reconfiguration. The first side is the emerging innovation systems in which AI is developed; these innovation systems are controlled to a considerable extent by a few tech companies, while also representing hybrids of (a) commercial and corporate innovation processes and (b) network-like collaborations of Big Tech, ecosystems of start-ups, and open-source communities. The second side is the application of AI in innovation processes; there has been a lot research into AI as a general-purpose technology and a method of innovation with the potential to change innovation processes in a broad range of sectors and companies.
Version
Published version
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