Challenges in AI Adoption Related to User Discovery

The primary challenge to AI adoption is understanding its potential applications. Users often face uncertainty about what AI can do until they actively engage with it. This 'discovery problem' arises because capabilities remain hidden behind interfaces that do not provide clear guidance. While templates can offer starting points for users, their effectiveness depends on relevance to individual tasks. Contextual awareness in AI systems could enhance user experience by suggesting pertinent options. Alan Kay's metaphor illustrates this issue: a user may have a limited view of possibilities, akin to an ant at the bottom of the Grand Canyon, while a more experienced user can identify numerous automation opportunities. The current state of AI requires users to know what to ask, which places a heavy burden on them rather than on the system itself. The expectation is that advanced AI should gradually reveal its capabilities in a manner that aligns with users' actual work, but this has not yet been achieved.