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.
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Notes
- 1.
Cf. PWC (2019a).
- 2.
- 3.
Federal Government (2020, p. 2).
- 4.
Cf. Bitkom (2020, p. 13).
- 5.
- 6.
- 7.
Cf. PWC (2019b).
- 8.
Cf. Federal Association of German Startups (2020, p. 11).
- 9.
- 10.
Cf. Roland Berger (2018, p. 2).
- 11.
Cf. BCG (2021a).
- 12.
Cf. BCG (2021b, p. 16).
- 13.
Cf. BCG (2021a, p. 12).
- 14.
AI startups that were younger than ten years at the time of the survey were considered.
- 15.
See Goasduff (2020).
- 16.
- 17.
- 18.
Cf. Bundesverband Deutscher Startups (2020).
- 19.
Cf. Turkina (2018, p. 2).
- 20.
Cf. Turkina (2018).
- 21.
Cf. Federal Government (2020, p. 18).
- 22.
Roland Berger (2019) suggests possible measures to support scale ups.
- 23.
Cf. Vincent (2019).
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Miller, A. (2023). AI, Innovation and Start-ups. In: Knappertsbusch, I., Gondlach, K. (eds) Work and AI 2030. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-40232-7_4
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