Predictive Analysis of a Jobless Society and Future Human Life Comfortability based on AI-Driven Super Intelligent Machines

Purpose: To explore the transformative potential of AI-driven super-intelligent machines in ensuring future human life comfort by enabling fully automated systems of production and distribution. It evaluates the feasibility of government-implemented Total Automation Models, where goods and services are produced and distributed without cost to individuals. The study analyzes how such costless provisioning can be achieved through continuous, intelligent optimization, and examines the broader implications of this paradigm shift for human purpose, governance structures, and global equity in a post-scarcity, technologically governed society. Methodology: In this paper, the exploratory qualitative research method is used. The relevant information is collected using keyword-based search in Google search engine, Google Scholar search engine, and AI-driven GPTs. This information is analysed and interpreted as per the objectives of the paper. Analysis & Discussion: The article presents a comprehensive evaluation of the proposed model of Total Automation Economy, examining its feasibility, implications, and potential societal transformations. It employs the SWOC (Strengths, Weaknesses, Opportunities, Challenges) and ABCD (Advantages, Benefits, Constraints, Disadvantages) analytical frameworks to assess the multidimensional impacts of AI-driven super-intelligent systems. The discussion highlights how such systems can automate resource procurement, production, and distribution to achieve universal comfortability, while also recognizing ethical dilemmas, governance challenges, and technological limitations. The section emphasizes the transformative potential of this model in redefining human identity and purpose in a jobless society, and suggests implementation through interdisciplinary collaboration, sustainable practices, and ethically guided AI frameworks. Originality & Value: This paper presents an original theoretical framework by integrating the concept of a jobless society with the Total Automation Economy driven by AI-powered super-intelligent machines. Unlike existing literature focused narrowly on job displacement or automation risks, this study uniquely envisions a post-scarcity model where governments provide universal comfort, fulfilling needs, wants, and desires, without economic transactions. The value of this research lies in its multidisciplinary fusion of technology, economics, ethics, and governance, offering a futuristic blueprint that challenges conventional paradigms of labour, wealth distribution, and human purpose. It opens new directions for academic exploration and policy formulation in the age of AI-led societal transformation. Type of Paper: Exploratory Qualitative Review-based Analysis