Political Geography: Global Focus / Topic: Big Tech

Author:: Cecilia Rikap
Publication Date:: 01-2023
Content Type:: Working Paper
Institution:: City Political Economy Research Centre (CITYPERC), University of London
Abstract:: Here I map Big Tech clouds focusing on the making of asymmetric relations with the different type of involved organizations. Amazon, Microsoft, Google and Alibaba are cloud hegemons that control every inch of their clouds. The cloud is the main means of adoption of digital technologies. As such, developers and other firms offering their services on Big Tech clouds accept the rules of a game predefined by those few giants. They even need to get enabling credentials offered by another type of subordinate actor: the companies offering trainings to get mandatory certificates for joining the cloud as providers. At the other end, customers transition to the cloud often guided and hiring the services of outsourced sales forces. After presenting all these actors and their interplay, I focus on AI as a service to explain the negative effects of such a migration at the level of organizational learning and innovation. Customers’ technological subordination and reduced learning by doing, using and interacting in the cloud has triggered mitigation strategies but only large players can afford them.
Topic:: Science and Technology, Big Tech, Corporations, Cloud Computing, and Digital Learning
Political Geography:: Global Focus

Author:: Cecilia Rikap
Publication Date:: 01-2023
Content Type:: Working Paper
Institution:: City Political Economy Research Centre (CITYPERC), University of London
Abstract:: 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.
Topic:: Science and Technology, Innovation, Artificial Intelligence, Big Tech, and Corporations
Political Geography:: Global Focus

Author:: Michel Girard
Publication Date:: 01-2020
Content Type:: Working Paper
Institution:: Centre for International Governance Innovation (CIGI)
Abstract:: Global data standards are urgently needed to foster digital cooperation and manage global tech platforms. No global organization is currently mandated to coordinate the development, maintenance and use of technical standards covering data value chains and policy-oriented standards covering data governance. Precedents exist where standards development work is coordinated by international organizations in sectors of the economy operating across borders, from aviation and maritime shipping to meteorology, food production, public health and the management of the internet. This paper proposes the creation of a Data Standards Task Force (DSTF), which would be entrusted with a dual mandate: enabling the development of technical standards to create data value chains and being accountable for the development of data governance standards needed by regulators to properly frame the leading big tech platforms (Facebook, Amazon, Apple, Microsoft and Google). The ultimate objective of the DSTF would be to create the required architecture for a “single data zone” where data can circulate freely between participating jurisdictions.
Topic:: Science and Technology, Social Media, Data, Digital Cooperation, and Big Tech
Political Geography:: Global Focus

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