Worker Invisibility in AI Adoption: A Study of Organizational Mismatch

A new study from arXiv (2605.03078) investigates why AI adoption often fails in organizations, focusing on the disconnect between managerial goals and worker experiences. Based on interviews with professionals in healthcare, finance, and management who interact with AI daily, the research identifies key barriers: poor usability, misaligned expectations, limited control, and insufficient communication. The authors argue that workers are frequently overlooked in AI design and deployment, leading to resistance and integration struggles. They propose recognizing workers as central to successful AI integration and suggest adaptation strategies to bridge the gap between organizational ambitions and on-the-ground realities.