This is a compelling question. While mobile apps have often faced challenges around sustained relevance and user engagement, AI agents have the potential to evolve differently—especially as they become more integrated into our daily workflows and decision-making processes. Unlike traditional apps, which rely on user initialization and explicit interactions, well-designed AI agents can operate more contextually and proactively, offering a more seamless user experience. However, their success will depend heavily on factors like trust, transparency, and adaptability. It will be interesting to see how the industry addresses these considerations to prevent AI agents from becoming just another passing trend, ensuring they truly add lasting value rather than fading into obsolescence like some mobile apps have.
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This is a compelling question. While mobile apps have often faced challenges around sustained relevance and user engagement, AI agents have the potential to evolve differently—especially as they become more integrated into our daily workflows and decision-making processes. Unlike traditional apps, which rely on user initialization and explicit interactions, well-designed AI agents can operate more contextually and proactively, offering a more seamless user experience. However, their success will depend heavily on factors like trust, transparency, and adaptability. It will be interesting to see how the industry addresses these considerations to prevent AI agents from becoming just another passing trend, ensuring they truly add lasting value rather than fading into obsolescence like some mobile apps have.