Cube has introduced a first-party analytics frontend that integrates with its semantic layer to support AI-augmented workflows, marking a shift from its initial role as a headless universal semantic layer since open-sourcing in 2018. Initially focused on embedded analytics, Cube has evolved to offer integrations with various BI tools via its SQL API, and now aims to redefine Business Intelligence (BI) through "Agentic Business Intelligence," which leverages AI to enhance the BI workflow's modeling, exploration, and presentation functions. By employing AI, Cube seeks to improve productivity, reduce the complexity of maintaining semantic layers, and lower the barrier to BI for a broader range of users, addressing challenges such as the need for constant updates to semantic layers and the difficulty users face in navigating them. The company envisions a future where AI not only assists in managing these complexities but also empowers users to derive insights without extensive technical training, thereby transforming the adoption and utility of BI tools.