The article argues that SQL is inexpressive, incompressible, and non-porous, which leads to complexity and hinders innovation in the database industry. The author claims that SQL's limitations, such as the lack of sum types and iteration, make it difficult to express certain computations. The article also discusses the importance of a shared universal data model and the need for a better implementation of the relational model. The author suggests that replacing SQL could unlock significant value and improve the industry.