Individuals increasingly can obtain advice from "robo-advisors", artificial intelligence-enabled digitalized service-agents. We study whether and why the provision of advice from a robo-advisor improves individuals' economic decisions. In two consequential induced-value experiments, we analyze the well-documented disposition effect, which reflects investors' greater propensity to realize past gains than past losses. We find that the availability of a robo-advisor reduces (i.e., mitigates) investors' disposition effect (Study 1). Moreover, imbuing the robo-advisor with social design elements (e.g., a name and the ability to communicate using natural language) negatively affects investment behavior (i.e., increases the disposition effect). The extent to which investors seek advice mediates this effect, i.e., investors ask for advice to a lesser extent from a robo-advisor with, compared to without, social design elements (Study 2). These results have implications for research on the automation of financial services and the effective use of social design elements of robo-advisors.