As the number of robots and other technologies, which can replace human labor (nearly) perfectly, grows, the topic of automation is a matter of great importance today. The aim of this thesis is to model the effects of automation on economic growth and wage development. Robots are introduced to the following economic growth models: (1) A Solow model (Prettner, 2016); (2) a Ramsey model (Steigum, 2011); (3) an extension of Prettner¿s model; (4) an OLG model. In (3) and (4), there are two distinct skill groups ("skilled" and "unskilled workers"). The models (1) - (3) show that an economy with robots can converge to a balanced growth path, even if there is no technological progress. The long-run growth rate increases with the efficiency of robots and declines with the population growth rate. In contrast, there is no possibility for growth in model (4). Moreover, the models (3) and (4) point out that especially unskilled workers are affected by automation. Robots explain not only the rise of the skill premium, but also the decline in real wages of unskilled workers.