Universal Basic Income in the Age of Automation: A Critical Exploration and Policy Framework

The increasing sophistication of artificial intelligence (AI) and automation technologies has precipitated significant debate regarding their potential to cause widespread job displacement. This paper critically examines the proposition that Universal Basic Income (UBI) or other forms of guaranteed basic income (GBI) could serve as a comprehensive solution to the challenges posed by such technological unemployment. Through a synthesis of existing empirical evidence from BI/GBI pilot programs, qualitative analyses of automation's impact on labour markets, and quantitative data, a nuanced perspective is presented. It is argued that while basic income demonstrates considerable promise in alleviating poverty, enhancing economic security, and improving certain well-being outcomes for affected individuals, its efficacy as a singular panacea is limited. The analysis considers the dual nature of automation, which involves both job displacement and job transformation. Key findings from BI experiments related to labour supply, health, and education are weighed against concerns regarding economic feasibility, potential inflationary pressures, and the non-monetary aspects of work. Common themes, ongoing debates, and critical research gaps in the current literature are identified. The paper concludes that basic income is more appropriately viewed as a potentially crucial component within a broader, multifaceted policy framework designed to navigate the future of work. This framework should also encompass robust investments in education and skills development, active labour market policies, and strategies to ensure the equitable distribution of productivity gains from automation.