This paper studies the impact of the robotics revolution on the labor market outcomes through the lens of capital-augmenting technological progress (CATP). A search-matching model with task-based aggregate production is developed to explore the condition under which CATP harms the labor market. Worker heterogeneity and labor market segmentation are crucial for technology unemployment to arise, whereas capital-skill complementarity and capital heterogeneity are not. We find a cutoff level of the elasticity of substitution between routine labor input and robots above which CATP causes technology unemployment. The cutoff elasticity has steadily declined in the last 40 years