Why is AI so "useless"? (and how to fix it) (charmos.io)

A recent discussion by the creator of the AI platform Charm highlights the structural issues leading to the perception of AI as "useless." The article outlines that the main impediment to AI's practical application lies not in the technology itself but in the fragmented ecosystems across development, execution, and distribution layers. This fragmentation leads to inefficiencies that hinder mass adoption; AI applications often behave as isolated tools rather than integrated systems. By identifying these bottlenecks, the author argues that the shift towards agentic applications—software capable of autonomously managing tasks—offers a path to elevate AI’s role in society beyond mere efficiency gains to transformative application. The call to action involves the creation of a unified System Layer that can manage and distribute agentic applications effectively, overcoming current limitations. This ecosystem shift is essential for AI to achieve its potential and provide real value, similar to how the internet and smartphones have integrated into daily life. A focus on intent-driven computing could facilitate a more cohesive environment where generative applications evolve into interconnected modules that work seamlessly together, thereby unlocking AI's full capabilities and fostering a meaningful adoption across various sectors.