Human Labour Vs Machine Efficiency: An Analysis Using Secondary Data
Keywords:
coverage, skill-biased technological change, job displacement, productivity, labour, synthetic intelligence, automationAbstract
This paper examines the relationship between human labour and desktop effectivity in modern-day economies. Using secondary records from tutorial studies, working papers, and worldwide organization reports, it explores how automation and AI have an effect on employment, productivity, job composition, and inequality. The find out about synthesizes competing theoretical views (substitution vs. complementarity), critiques empirical estimates of job susceptibility and displacement, and analyses coverage responses. Findings point out that whilst machines make bigger productiveness and can replacement for activities tasks, complementary results and new-demand introduction regularly offset outright job destruction even though distributional challenges and skill-biased results stay acute. The paper concludes with coverage pointers to maximize social positive aspects from automation whilst mitigating labour-market harms.
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