A new paper argues that achieving Artificial General Intelligence (AGI) may require a shift from scaling single models to developing Agentic AI systems, which can handle diverse real-world tasks more efficiently. The authors highlight the advantages of Agentic AI in terms of generalization and sample efficiency, suggesting a need for increased research in this area.