💸 The AI Profit Trap: The Rise of Surveillance Pricing

In this episode, we explore a quiet but powerful shift in modern commerce—one that’s changing how much you pay, without you ever realizing it.Businesses are increasingly using artificial intelligence to implement surveillance pricing, a strategy that sets prices individually based on a consumer’s unique data profile. While dynamic pricing originally emerged in industries like airlines and hotels to balance supply and demand, today’s AI-driven systems go much further.Modern algorithms can analyze factors such as browsing history, location, purchasing behavior, device type, and even phone battery levels to determine the highest price a specific customer is likely willing to pay. Major companies including Amazon, Uber, and Walmart are using these tools to adjust prices silently and instantaneously, often without explicit disclosure.This shift represents a move away from transparent, fixed pricing toward personalized price segmentation, where two people shopping for the same product may see dramatically different costs. The episode examines how this technology maximizes corporate profits, raises ethical concerns about fairness and transparency, and challenges traditional ideas of consumer choice in the digital marketplace.As pricing becomes increasingly personalized, the question isn’t just what something costs—but who decides that cost. Join us next time as we continue examining how technology is reshaping power, privacy, and everyday life. Hosted on Acast. See acast.com/privacy for more information.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-world-between-us--6886561/support.