Organizations are rapidly increasing AI investments, yet many continue to struggle to realize measurable value at scale. As AI initiatives move beyond experimentation, enterprises are confronting the realities of data modernization, infrastructure costs, governance, security and talent demands. We explore whether organizations are underestimating the true cost of scaling AI and discuss what it takes to balance innovation ambitions with financial discipline, prioritization and sustainable business outcomes.