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A brilliant analysis of capital accumulation in the AI era that charts a roadmap for battling against the predatory concentration of knowledge, data and narratives in the hands of Big Tech, by award winning economist. Capitalism’s rulers are not abstract entities or shadowy operators. Amazon, Microsoft and Google are the cloud hegemons that subsume the world through the exercise of their intellectual monopolies. Giants like Disney, McDonalds, Nike or Walmart depend on them to use AI for knowledge and value extraction and for disciplining workers. States see some of their core functions sequestered. Innovation is not a free and neutral game, but a hierarchy topped by the rulers. Rikap’s new theoretical framework is grounded in a unique trove of 112 interviews at the world’s largest firms and data on venture capital, acquisitions, open source, AI conferences and patents. They picture a map of the complexities and political implications of corporate power. In Rikap’s counterimage, technology is developed by the people and for the people and the planet through democratic planning.
Theory and Method in Higher Education Research, provides a forum specifically for higher education researchers to discuss issues of theory and method. This latest volume presents a truly international approach with contributions from Argentina, Belgium, Canada, the Czech Republic, Finland, Germany, Norway, Portugal, the U.K. and the U.S.
Late Capitalism is the first major synthesis to have been produced by the contemporary revival of Marxist economics. It represents, in fact, the only systematic attempt so far ever made to combine the general theory of the "laws of motion" of the capitalist mode of production developed by Marx, with the concrete history of capitalism in the twentieth century. Mandel’s book starts with a challenging discussion of the appropriate methods for studying the capitalist economies. He seeks to show why the classical approaches of Luxemburg, Bukharin, Bauer and Grossman failed to accomplish the further development of Marxist theory whose urgency became evident after Marx's death. He then sketches t...
This book develops new theoretical perspectives on the economics and politics of innovation and knowledge in order to capture new trends in modern capitalism. It shows how giant corporations establish themselves as intellectual monopolies and how each of them builds and controls its own corporate innovation system. It presents an analysis of a new form of production where Google, Amazon, Facebook, Apple and Microsoft, and their counterparts in China, extract value and appropriate intellectual rents through privileged access to AI algorithms trained by data from organizations and individuals all around the world. These companies’ specific form of production and rent-seeking takes place at t...
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In contemporary global capitalism, the most powerful corporations are innovation or intellectual monopolies. The book’s unique perspective focuses on how private ownership and control of knowledge and data have become a major source of rent and power. The author explains how at the one pole, these corporations concentrate income, property and power in the United States, China, and in a handful of intellectual monopolies, particularly from digital and pharmaceutical industries, while at the other pole developing countries are left further behind. The book includes detailed empirical mappings of how intellectual monopolies develop and transform knowledge from universities and open-source col...
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The critical literature on monopolies, from monopoly capital to recent contributions, focuses on the organization that concentrates either market power, capital or property rights. I complement this literature by conceptualizing monopolies as a power relation, which enables me to integrate different ways in which the term is used, from capitalists' monopoly over the means of production to intellectual monopolization. As I explain here, some firms have developed greater capacities to systematically monopolize intangibles that are essential for organizing labour beyond their owned assets and for controlling demand. Coupled with institutional, political and technological changes, larger absorptive and management capacities to produce and capture knowledge and information resulted in firms' technological differentiation. The systematic winners of the innovation race hold persistent intellectual monopolies while other firms become subordinate due to their lack of technical autonomy. From this perspective, (intellectual) monopoly power is essential for understanding the distribution of value in capitalism.
I analyse US Big Tech strategies to dominate frontier artificial intelligence (AI) by quantitatively and qualitatively comparing how they manage knowledge in their respective AI corporate innovation system (CIS). I propose “frenemies” to describe Microsoft's strategy because many Chinese organizations and even direct competitors integrate its CIS. “University” symbolises Google's strategy, given its focus on fundamental AI, its central place in the AI research field and appropriation mechanisms that are not translating into clear business advantages. “Secrecy” defines Amazon's strategy, maximizing knowledge inflows while minimizing outflows to profit from AI. Facebook, with the narrowest AI CIS, exhibits an “application-centred” strategy.