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Rethinking of Marxist perspectives on big data, artificial intelligence (AI) and capitalist economic development

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  • Walton, Nigel
  • Nayak, Bhabani Shankar

Abstract

AI and big data are not ideologically neutral scientific knowledge that drives economic development and social change. AI is a tool of capitalism which transforms our societies within an environment of technological singularity that helps in the expansion of the capitalist model of economic development. Such a development process ensures the precarity of labour. This article highlights the limits of traditional Marxist conceptualisation of labour, value, property and production relations. It argues for the rethinking of Marxist perspectives on AI led economic development by focusing on conceptual new interpretation of bourgeois and proletariat in the information driven data-based society. This is a conceptual paper which critically outlines different debates and challenges around AI driven big data and its implications. It particularly focuses on the theoretical challenges faced by labour theory of value and its social and economic implications from a critical perspective. It also offers alternatives by analysing future trends and developments for the sustainable use of AI. It argues for developing policies on the use of AI and big data to protect labour, advance human development and enhance social welfare by reducing risks.

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  • Walton, Nigel & Nayak, Bhabani Shankar, 2021. "Rethinking of Marxist perspectives on big data, artificial intelligence (AI) and capitalist economic development," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000081
    DOI: 10.1016/j.techfore.2021.120576
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    2. Yulin Liu & Xincheng Zhu & Yuhao Wang, 2023. "Revisiting and evaluation of the index of sustainable economic welfare based on artificial intelligence: data from 30 Chinese provinces from 2003 to 2019," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3123-3152, April.
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