Abstract: In this talk I will provide an update on the Galactic Center Excess (GCE), a potential signal of dark-matter annihilation discovered in Fermi gamma-ray data sixteen years ago. The leading alternative hypothesis to dark matter is a population of unresolved point sources. I'll review the statistical framework that allows one to distinguish between point sources and dark matter, focussing specifically on where it breaks, and why AI/ML techniques can overcome the issues. The latest AI/ML approaches are pointing back in favor of dark matter, however I'll show that the case is far from resolved and there remain many improvements we can make to shed further light on what yet could be the discovery of dark matter.