Theory of job Sharing: A proposition to solve unemployment

This paper introduces the Theory of Job Sharing (TJS), a novel framework to address the persistent challenges of unemployment and inequality. Drawing on a review of existing research and observations of advancements in generative AI, TJS proposes a job allocation system based on individual abilities and capacity, rather than solely on educational background and level. The theory advocates for a rotational system where a single job can be shared by multiple individuals (minimum two, potentially exceeding ten). To ensure TJS feasibility, the study identifies and proposes solutions for three key challenges: human capital development (People), salary distribution among job sharers (Salary), and governance/ownership structures. Additionally, we developed a conceptual framework to illustrate TJS's potential integration within the current social, political, and economic landscape. While the identified challenges and framework resonate with contemporary issues, further empirical research is necessary for comprehensive validation. The study concludes by highlighting the need for collaborative efforts between governments, companies, individuals, and institutions to tackle unemployment and inequality on a global scale.