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Saved February 14, 2026
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This article argues that simply adding AI to products doesn’t guarantee a better user experience. It highlights the need for product managers to critically assess whether AI can genuinely improve customer interactions or if it complicates them further. The author encourages a thoughtful approach to integrating AI, focusing on unique opportunities where it can truly add value.
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Jared Spool highlights the widespread reluctance to embrace AI in user experiences. Many teachers, customers, and hiring managers find AI tools like chatbots and automated resume scanning unhelpful. Despite this, the adoption of AI in businesses continues to surge, primarily driven by efficiency rather than enhancing user experience. Spool emphasizes that while AI integration is often pushed by leadership, the key question for product managers and designers should be whether AI can genuinely improve the customer experience.
He points out that many AI implementations, particularly chatbots, often fail to meet expectations, with success rates as low as 14%. Companies investing in these technologies still rely on human support, effectively prolonging and complicating customer interactions. Instead of blindly incorporating AI, organizations should analyze where it can truly add value. For instance, in ecommerce, AI can analyze user behavior and suggest personalized outfit combinations during peak shopping seasons, enhancing the customer experience.
Spool warns that, like previous tech trends, AI risks leading to poorly designed products that don't meet user needs. However, he believes companies have the tools to better understand their customers and improve experiences with AI in 2026. The focus should be on making existing customer interactions smoother and identifying areas where AI can meaningfully contribute. This approach can help avoid the pitfalls faced by earlier tech revolutions.
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