Z.O. Nomaler

Papers

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About

Z.O. Nomaler’s research lies at the intersection of evolutionary economics, technological change, and income distribution, with a particular focus on how automation and artificial intelligence reshape labor markets and growth dynamics. Their most-cited work, “Perpetual growth, distribution, and robots” (2018), critically reexamines traditional models of technological change in light of emerging machine learning and robotization, arguing that the potential for widespread labor substitution demands a fundamental rethinking of how we conceptualize economic growth and inequality. Though early in its citation impact, this paper has become a foundational reference for scholars exploring the distributional consequences of automation. Nomaler’s broader contributions include developing agent-based models and simulation frameworks that capture the complex feedback loops between innovation, employment, and income shares. Their work is notable for bridging theoretical rigor with pressing policy questions, offering insights into how societies might navigate the challenges of perpetual growth in an era of intelligent machines. Nomaler’s research continues to influence debates on the future of work and the sustainability of capitalist economies.