The present paper tackles what we might call the AI achievement challenge, which has been the subject of recent debate in AI ethics. The challenge concerns the question of whether there are any achievement gaps due to artificial intelligence and what we should do if there are: how to fill them, or what policies are needed to decrease their impact on us if they cannot be filled. This paper argues that none of the proposed views is entirely satisfactory, even though they all have certain merits. The paper will provide two mutually compatible answers to the AI achievement challenge: one in terms of collective achievement and the other in terms of vicarious achievement.