Kolmogorov–Arnold networks run slower than MLPs at inference. In regulated industries — banking, pharma, defense — that trade is worth it: KAN edges are fixed, learnable functions you can read. MLP weights are an opaque chord. When auditors come knocking, an open book beats a black box.