Harnessing Artificial Intelligence in Stock Market Investments: A Neomarxist Approach to Alternative Socioeconomic Funding Agendas for National State Revenue Accumulation

Alan Peter Garfoot, Sameep Gowda

Abstract


In the current economic, sociological and political landscape of the United Kingdom the successful integration of Artificial Intelligence (AI) computer programs into the socioeconomic organisation of society to make it into a more technologically and economically successful mode of production is discussed in detail. By proposing how through AI driven predicted behaviour of the stock market value of its high technology companies increasing through breakthrough technological news reports effecting the financial markets stock value. As a multiple discipline paradigm of causational socioeconomic effects the system of state revenue accumulation could now represent a new frontier in economics and politics with AI having profound implications for both the distribution of wealth in society and the generation of state income accumulating the national budget state income from technological advancement instead of tax.

This paper explores the potential socio-political and economic impact of using AI-driven stock market predictions gained through the multi-layered contingent causational effect of the cumulative accumulation of increasing amounts of state owned technology derived compound investment return economic capital, initially funded by the government to eventually replace societal income, wealth and goods tax, creating an exponentially increasing amount of state owned wealth.

As the baseline increase of state owned economic from AI accumulates, through the technology share value increase through the state investment in AI as a means of revenue accumulation then the burden of the national budget upon societies citizens through traditional draconian income, wealth and goods tax decreases. This is the theorisation of the establishment of a left-wing economic social superstructure and mode of production for funding social institutions through the power of artificial intelligence. By investing a portion of the national budget on advanced AI driven economic prediction technologies developed in this paper a strategy is outlined which could dramatically reorganise and facilitate the future financial sustenance of the political budget promoting holistic social equity and  economic justice as a underlying theme. Through critical analysis and review of current sociological and economic theories, this theoretical research paper delineates exactly how such a politically driven socioeconomic approach could potentially reconfigure the current mode of production and contribute to the reformation of social tax as the basis for a sustainable left-wing economy.



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DOI: https://doi.org/10.22158/eprd.v5n2p60

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