Abstract: The proliferation of automation technologies—including artificial intelligence, robotics, and algorithmic management systems—has fundamentally altered the psychological and structural foundations of employment relationships. This article examines how automation reshapes traditional notions of job security and explores evidence-based organizational responses that balance technological adoption with workforce stability. Drawing on empirical research and practitioner cases across manufacturing, healthcare, and financial services, the analysis identifies key interventions: transparent transition planning, skills-based redeployment frameworks, participatory automation design, and hybrid work models that emphasize human-machine complementarity. The article argues that sustainable automation strategies require moving beyond zero-sum displacement narratives toward mutual investment frameworks where technological capability building becomes a shared responsibility. Organizations that proactively recalibrate their employment value propositions demonstrate superior retention, innovation outcomes, and stakeholder trust in technology-intensive environments.