The integration of artificial intelligence (AI) into recruitment is reshaping human resource management, including the transport and logistics sector. Tools such as automated CV screening, predictive hiring models, and AI-based interview analytics improve efficiency and transparency, yet raise concerns about fairness, trust, and human oversight. This study assesses readiness for AI-mediated recruitment among youth (students and early-career individuals) and professionals in the Baltic states. The research includes: (1) a validated survey instrument, (2) an empirical survey of 600 young respondents from Latvia, Lithuania, and Estonia, and (3) a pilot study with 30 professionals aged 25–50. Analysis focused on digital competence, attitudes, and readiness, including trust and support needs. Preliminary results show higher AI confidence among Estonian participants, while Latvian and Lithuanian respondents emphasize fairness and human oversight. The study highlights readiness gaps and offers recommendations for universities, HR practitioners, and policymakers, providing one of the first comparative analyses of AI recruitment readiness in the Baltic transport and logistics sector.