This paper investigates the evolution of Amazon's recommender system and its potential impact on user preferences. Using Barrier-to-Exit analysis on Amazon book recommendations, it reveals a significant growth in preference manipulation over time, highlighting implications for user autonomy and the need for further research in this area.