Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/280829 
Autor:innen: 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
CITYPERC Working Paper No. 2023-03
Verlag: 
City, University of London, City Political Economy Research Centre (CITYPERC), London
Zusammenfassung: 
I combine quantitative methodologies and in-depth interviews to analyse United States Big Tech different strategies to organize and profit from their AI corporate innovation systems (CIS). I propose 1) "frenemies" for Microsoft, because even Chinese organizations and direct competitors integrate its CIS. 2) "University" for Google, whose AI strategy included leaving DeepMind autonomous to explore more fundamental AI but appropriation mechanisms are not translating into a clear business advantage. 3) "Secrecy" for Amazon, given its large concern with secrecty and profiting from AI. 4) And "application-centred" for Facebook; its AI CIS is the narrowest, mostly attached to its platforms.
Schlagwörter: 
Big Tech
Artificial Intelligence
technological innovation systems
corporateinnovation systems
Digital Capitalism
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.97 MB





Publikationen in EconStor sind urheberrechtlich geschützt.