Cognitive Polarization in the AI Era: Organizational Strategies to Prevent a Mental Underclass

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David Brooks's cautionary framework on cognitive polarization—wherein individuals with high need-for-cognition leverage AI to amplify capacity while others outsource thinking entirely—presents organizations with an urgent strategic imperative. This article synthesizes research on workplace AI adoption, employee development, and organizational psychology to examine how enterprises can prevent the emergence of a "mental underclass" while capturing AI's productivity benefits. Evidence demonstrates that cognitive engagement patterns are shaped less by innate traits than by organizational design, learning culture, and job architecture. Organizations that frame AI as an augmentation partner rather than a substitution tool, embed reflective practice into workflows, democratize access to cognitively enriching tasks, and cultivate psychological safety around experimentation show measurably higher workforce capability development alongside productivity gains. Through examination of interventions spanning interface design, learning infrastructure, work redesign, and leadership communication across manufacturing, professional services, healthcare, and financial sectors, this article provides actionable guidance for HR leaders, learning officers, and executives navigating the dual mandate of technological adoption and human capital development. The conclusion emphasizes that organizational choices—not individual cognitive disposition—will largely determine whether AI widens or narrows capability gaps within the workforce.