This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour's increasing automation.

Artificial Intelligence (AI) has seen major advances in recent years. While machines were always central to the Marxist analysis of capitalism, AI is a new kind of machine that Marx could not have anticipated. Contemporary machine-learning AI allows machines to increasingly approach human capacities for perception and reasoning in narrow domains. This book explores the relationship between Marxist theory and AI through the lenses of different theoretical concepts, including surplus-value, labour, the general conditions of production, class composition and surplus population. It argues against left accelerationism and post-Operaismo thinkers, asserting that a deeper analysis of AI produces a more complex and disturbing picture of capitalism's future than has previously been identified. Inhuman Power argues that on its current trajectory, AI represents an ultimate weapon for capital. It will render humanity obsolete or turn it into a species of transhumans working for a wage until the heat death of the universe; a fate that is only avoidable by communist revolution.

Artificial Intelligence (AI) has seen major advances in recent years. While machines were always central to the Marxist analysis of capitalism, AI is a new kind of machine that Marx could not have anticipated. Contemporary machine-learning AI allows machines to increasingly approach human capacities for perception and reasoning in narrow domains. This book explores the relationship between Marxist theory and AI through the lenses of different theoretical concepts, including surplus-value, labour, the general conditions of production, class composition and surplus population. It argues against left accelerationism and post-Operaismo thinkers, asserting that a deeper analysis of AI produces a more complex and disturbing picture of capitalism's future than has previously been identified. Inhuman Power argues that on its current trajectory, AI represents an ultimate weapon for capital. It will render humanity obsolete or turn it into a species of transhumans working for a wage until the heat death of the universe; a fate that is only avoidable by communist revolution.

This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour's increasing automation.

The Culture of Western Europe, George L. Mosse's sweeping cultural history, was originally published in 1961 and revised and expanded in 1974 and 1988. Originating from the lectures at the University of Wisconsin-Madison for which Mosse would become famous, the book addresses, in crisp and accessible language, the key issues he saw as animating the movement of culture in Europe. Mosse emphasizes the role of both rational and irrational forces in making modern Europe, beginning with the interplay between eighteenth-century rationalism and nineteenth-century Romanticism. He traces cultural and political movements in all areas of society, especially nationalism but also economics, class identity and conflict, religion and morality, family structure, medicine, and art. This new edition restores the original 1961 illustrations and features a critical introduction by Anthony J. Steinhoff, professor in the department of history at the UniversitE du QuEbec A MontrEal, contextualizing Mosse's project and arguing for its continued relevance today.