In today’s corporate landscape, Diversity, Equity, and Inclusion (DEI) initiatives are increasingly recognized as strategic levers for fostering innovation and enhancing organizational performance. This study evaluates the effectiveness of AI/ML-enabled DEI interventions using global firm-level data from 2019–2024, with a particular focus on workforce diversity outcomes and inclusion sentiment gaps. By applying the Global Diversity and Inclusion (D&I) Index framework, the analysis reveals a significant positive relationship between DEI scores and improved diversity metrics following AI/ML-driven recruitment practices. Furthermore, the study highlights the mediating role of Intellectual Capital Efficiency (ICE), demonstrating that inclusive practices strengthen intangible assets such as knowledge-sharing, collaborative culture, and employee engagement. Empirical findings show that the direct impact of DEI on diversity outcomes (β = 0.38) is partially mediated by ICE, with the effect size decreasing to β = 0.29 when ICE is accounted for. These results underscore the organizational value of integrating DEI with intelligent HR technologies, providing evidence-based guidance for aligning inclusion strategies with long-term talent and innovation goals