When Innovation Feels Like Betrayal: Why Trust, Not Technology, Determines AI Adoption

Global attitudes toward artificial intelligence reveal a paradox: nations leading AI development express greater skepticism, while countries historically cautious about Western innovation show remarkable optimism. This divergence reflects not technological literacy but deeper questions about institutional trust, distributional fairness, and whether citizens believe they will benefit from disruption. Drawing on comparative innovation studies, organizational justice research, and economic sociology, this article argues that AI adoption succeeds or fails based on the perceived legitimacy of the systems deploying it. Organizations cannot technology-manage their way past institutional distrust. The article examines how distributive fairness, procedural transparency, and psychological contracts shape technology acceptance, offering evidence-based strategies for building technology governance that stakeholders experience as inclusive rather than extractive.