Sep 2026· Human Capital Leadership Review· Vol 38· 0 citations
TL;DR
Evidence on Gen Z's concerns regarding creativity, critical thinking, learning efficacy, and workplace risks is synthesized, and evidence-based organizational responses centered on transparent communication, competency-building frameworks, human-AI collaboration models, and developmental support systems are proposed.
Abstract
Generation Z workers exhibit a counterintuitive relationship with artificial intelligence characterized by increased exposure yet declining confidence and deteriorating sentiment. Despite representing the cohort most likely to shape AI adoption trajectories over the coming decade, Gen Z demonstrates plateauing usage patterns, diminishing enthusiasm, and heightened skepticism regarding AI's impact on core cognitive capabilities and professional development. Drawing on recent survey research from the Walton Family Foundation, GSV Ventures, and Gallup alongside organizational behavior literature, this article examines the multi-dimensional nature of Gen Z's AI ambivalence. Analysis reveals that while just over half of 14- to 29-year-olds engage with generative AI weekly, negative emotions have intensified substantially, with excitement dropping 14 percentage points and anger rising 9 points year-over-year. The article synthesizes evidence on Gen Z's concerns regarding creativity, critical thinking, learning efficacy, and workplace risks, then proposes evidence-based organizational responses centered on transparent communication, competency-building frameworks, human-AI collaboration models, and developmental support systems. Findings suggest that organizations prioritizing genuine AI literacy over mere access will be better positioned to build trust and sustainable adoption among emerging workforce cohorts.
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 develop...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
The rapid diffusion of generative artificial intelligence into workplace and personal contexts has created substantial uncertainty regarding how individuals rely on these systems over time. This article examines longitudinal patterns in AI delegation and disclosure behaviors, drawing on evidence from a six-wave study s...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
The INSPIRE Model is introduced, a framework for adaptive AI integration in marketing curricula, and calls for further research testing classroom interventions on the basis of industry data, faculty survey responses, and student survey responses.
Sarah Fischbach, Michael Pettiette, Anne Wangari Njathi· Journal for advancement of m...· 1 citation
This paper aims to synthesize existing empirical research on employees’ attitudes toward artificial intelligence (AI) in the workplace. It organizes existing evidence around five attitude dimensions – perceived usefulness, aversion, trust, perceived threat and ethical perceptions – to clarify the current state of k...
An integrative framework of four interrelated dimensions -cognition, agency, emotional well-being, and ethics- linked by a self-reinforcing cycle where cognitive offloading reduces effort, weakens agency, and compounds emotional and ethical harm is organized.
Lucile Favero, J. A. Pérez-Ortiz, Tanja Käser et al.· 0 citations
Artificial intelligence (AI) can be appraised simultaneously as useful, capable, threatening, and demanding. Yet research typically treats attitudes toward AI as a single favorable-unfavorable continuum, obscuring how these evaluations coexist within individuals. Using a three-wave, time-lagged survey of 379 first-year...