In this week's material, specifically “Decoding the Trust Matrix: Unravelling Key Predictors of Consumer Trust in AI-Generated Personalized Advertising,” Yang Feng and Julia Hyehyun demonstrate how AI advertising works less by impressing us and by secretly shaping what we pay attention to and engage with. Instead of feeling like separate advertisements, AI generated suggestions blend into the social media platforms we use so smoothly that they start to feel like part of our own thought process. I’ve noticed how easy it is to accept recommendations simply because they appear at the right moment and right away, which makes them feel super natural and human-like even when they’re not. Since algorithms analyze my engagement and activity online, they know what type of advertisements to put on my feed, which makes me more likely to buy that product.
The article also made me rethink how convenience affects trust. When AI offers choices that seem quick or effortless, it becomes tempting to rely on those suggestions instead of deciding for ourselves. Over time, this can make our preferences feel less like personal choices and more like responses to what AI places in front of us. That influence is very small but super powerful.
Overall, the article made me realize that AI advertising isn’t just about selling products. It shapes the environment where we make decisions. That makes it important to stay aware of how AI and certain algorithms guide and enable what we see and do not see, so we don’t end up trusting them simply because they’re always there.
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