The article discusses the differences between imperative and declarative programming paradigms, highlighting declarative programming's ability to instruct a computer to 'figure out' a task rather than explicitly coding each step. It then explores how AI/LLMs could enhance declarative systems by serving as human-to-computer language translators, eliminating the need for domain-specific languages (DSLs) and filling tooling gaps. AI's 'abstract intelligence' could lead to generating structured outputs processed by tooling, driving automation. The article underlines the importance of reliable AI solutions and how companies like SAP could adopt AI to expose complex systems in an understandable and manageable way.