Global logistics industry is under the pressure of trying to cut its current contribution of 10% global GHG emissions coupled with keeping trade efficiency. This paper analyses the synergy between artificial intelligence (AI) and green technology as the driving force to transform sustainable logistics, especially by citing workforce readiness as the most significant enabler. With 120 stakeholders (logistics firms, policymakers, AI experts, and educators) participating in a mixed-method research line, we confirm that AI-driven solutions (predictive routing, real-time carbon tracking, and others) can reduce emissions by 27–32% and save between 18 and 22% off the cost of the business based on the concept that incorporates renewable energy sources along with the circular economy model. There is, however, a 38 and 42% green-digital skills mismatch among the professionals that may be singled out as the main barrier to adoption where the regression analysis illustrates that trained organizations are 2.3 times faster to implement technology compared to their untrained counterparts (b = 0.67, p < 0.01). The research cites three systemic issues: (1) curriculum mismatch in education, (2) lack of collaboration between the public and the private in training and (3) technological discrepancies in developed and emerging economies. We suggest a realistic policy framework in which: (i) there will be globally uniform competency certifications, (ii) AI-enhanced training ecosystems, and (iii) the cross-border networks of knowledge sharing. In its findings, it is indicated that 60% of potential gains on sustainability could fail to be realized by 2030 unless some prompt workforce investments are made. Findings of this study have practical implications of how technological innovation can be harmonized with development of human capital to achieve a decarbonization roadmap of logistics that reconciles efficiency, equity and environmental interests.