The primary outcome of giving advice is whether you are influenced by that recommendation. AI advice may be good or bad, or at least better or worse than human advice, and therefore penalizing it can be appropriate or disadvantageous. Preceding direct influence, there is often a machine penalty for choosing an advisor and in evaluating the quality of the advice. Whether people show a machine penalty against being influenced by AI’s advice depends on many of the causes, such as whether the advice is on a subjective, moral, personal, or health matter, and whether the AI is perceived to have a mind and the essential nature and experiences to give that advice. The immediate consequences can lead to reduced or enhanced performance based on correctly rejecting poor AI advice, but resisting the penalty for recommendations that are likely to be beneficial and high quality.