Selection testing has long been a cornerstone of hiring, but advances in remote assessment, generative AI, and changing workforce expectations are raising new questions about its effectiveness. This debate session explores whether traditional selection tests remain a valid way to differentiate candidates or whether they have become increasingly vulnerable to gaming and less reflective of real-world capability. Panelists will examine evidence across psychometric validity, test security, and skills-based hiring, discussing both the strengths of standardized assessments and the challenges posed by AI-assisted cheating and remote testing environments. Representing opposing viewpoints, speakers will debate whether selection testing remains an equitable and evidence-based hiring tool or whether organizations should shift toward skills-based alternatives. The session aims to provide practical insights for designing the next generation of selection systems.