AI Pricing: How Algorithms Nudge You to Pay More—and How to Push Back скачать в хорошем качестве

AI Pricing: How Algorithms Nudge You to Pay More—and How to Push Back

Prices that jump mid-browse aren’t glitches—they’re AI reading your signals and applying behavioral economics to steer what you pay. This evidence-first explainer separates dynamic from personalized pricing, shows how algorithms infer willingness to pay from repeat visits, device, dwell time, cart behavior, and location, and explains why loss aversion, anchoring, and urgency/FOMO push System 1 to act before System 2 reflects. Quick examples (airlines, e-commerce, ride-hailing) highlight how timing and capacity move prices. You’ll learn telltale signs of automated pricing and three counter-tactics: depersonalize and compare like-for-like, slow the choice with a walk-away price, and use timing to your advantage when demand surges. Sources: OECD; FTC; UK CMA; IATA; Hannak et al.; Chen, Mislove & Wilson; Kahneman & Tversky. Chapters: 00:00 The flight price that jumps—what’s really happening 00:30 Dynamic vs personalized pricing 00:55 Signals algorithms read (visits, device, dwell, cart, location) 01:25 Why it works: loss aversion, anchoring, urgency/FOMO, System 1 vs 2 01:55 Examples: airlines, e-commerce, ride-hailing 02:20 Signs you’re being price-steered 02:45 Counter-tactic #1: depersonalize & compare 03:10 Counter-tactic #2: slow the choice, set a walk-away price 03:30 Counter-tactic #3: time your purchase (surge/peak cycles) 03:55 What regulators are watching + takeaways Subscribe for more evidence-first money psychology:    / @behavioralmoney   #moneypsychology #behavioraleconomics #AIpricing