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About

Andreas Pyka is a prominent evolutionary economist whose research sits at the intersection of innovation systems, structural change, and the future of work. His scholarship examines how technological transformation — particularly automation, robotics, and artificial intelligence — reshapes employment patterns and economic structures across sectors. Pyka's most influential work, "The Impact of Automation on Employment: Just the Usual Structural Change?" (2018, 171 citations), integrates evolutionary economic modeling with labor economic theory to construct a comprehensive framework for understanding automation's macro- and sector-level employment effects. His highly cited 2017 contribution (117 citations) advances the concept of dedicated innovation systems as drivers of sustainability transitions, arguing that the knowledge-based bioeconomy and digitalization together offer pathways toward more equitable, sustainable production systems. More recently, Pyka has extended this agenda through taxonomic analyses of how robotics and AI affect creative work and income distribution across differentiated sector types. Collectively, his research bridges innovation theory, sustainability economics, and the economics of technological change, making him a key voice in debates about how societies can govern transformative technologies while preserving employment opportunities and fostering inclusive growth.