Although electrocatalysis presents a promising avenue for unlocking Faradaic mechanisms in practical water purification processes, it necessitates concerted efforts to overcome three diverse challenges (Figure ): (i) catalyst materials development, (ii) electrode design, and (iii) system operation. Although careful consideration of all three factors is essential for successful process development , the remainder of this article focuses on opportunities for accelerated catalyst materials discovery using theoretical techniques and machine learning (ML).