Importantly, arriving at the conclusions from this study was facilitated by the development of a machine learning potential. While the classical force fields conventionally used to study these systems reproduce many of the properties of bulk electrolytes, they have not been parameterized to capture the drastic distortions in solvation found in highly confined systems. Furthermore, the majority of classical MD studies on confined electrolytes do not incorporate any polarizability in the confining wall, which we have shown to critically affect the extent of ion pairing. Indeed, our simulations using a classical force field predict qualitatively different behavior, namely a drastic increase in ion pairing for the monolayer electrolyte. Moreover, this work entailed over 100 ns of molecular dynamics simulations on systems with 2000 to 4400 atoms. These time and length scales are far beyond the capabilities of AIMD.