AI is rapidly turning modern marketing into a surveillance-and-optimization machine. What started with loyalty cards and basic customer databases has evolved into always-on tracking across apps, websites, and devices—feeding models that learn what people want, when they’re vulnerable to buying, and how to push them toward a decision. In this video, we break down how “surveillance marketing” works in plain language: companies collect massive amounts of behavioral data, stitch it together with identity graphs and third-party sources, and use AI to target messages in real time.
Then comes the next step: dynamic pricing. Instead of one price for everyone, algorithms can adjust prices on the fly based on demand, timing, channel, device signals, and past behavior—essentially guessing what you’re willing to pay. That may boost revenue, but it also creates real risks: bias, unfair outcomes, privacy exposure, and a growing “trust debt” when customers realize the system is opaque.
We’ll also cover why the vendor ecosystem matters—data brokers, ad platforms, CDPs, and personalization engines—and why governance is lagging behind. The takeaway: this isn’t going away, but it must be architected responsibly, with limits, audits, fairness testing, and transparency.
Bio
With over 30 years of experience in enterprise technology, David Linthicum is a globally recognized thought leader, innovator, and influencer in cloud computing, AI, and cybersecurity. He has authored over 17 best-selling books, over 7,000 articles, and 50 courses on LinkedIn Learning. He is also a frequent keynote speaker, podcast host, and media contributor on topics related to digital transformation, cloud architecture, AI, and cloud security.
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