This article examines the relationship between occupational creativity and resilience to automation, drawing on a landmark study by Bakhshi, Frey, and Osborne (2015) which found that 86–87 percent of workers in highly creative occupations face low or no risk of computerization. The article situates these findings withi...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
Ethical AI governance has become a strategic imperative as algorithmic systems increasingly mediate consequential organizational decisions affecting credit access, service delivery, and social participation. Existing frameworks emphasize principles and technical assurance but assume stable infrastructure, coherent inst...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
Organizations face a dual transformation: accelerating labor force contraction through 2032 and the evolving capabilities of artificial intelligence. This article examines the strategic imperative for organizations to deliberately adjust the "ratio of labor to tech" while confronting the simultaneous realities of demog...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
The rapid advancement of artificial intelligence (AI) technologies presents unprecedented challenges for workforce management, particularly within human resource (HR) and people management functions that simultaneously face high AI exposure and serve as organizational architects of workforce adaptation. This article cr...
Jonathan H. Westover· AI Strategy: The Journal of...· 0 citations
The U.S. labor force participation rate has declined to its lowest level in five decades, while artificial intelligence companies simultaneously moderate their job displacement forecasts. This convergence creates a strategic inflection point for organizational talent management. Rather than preparing for AI-induced mas...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
Recent evidence from the Forecasting Research Institute reveals a striking pattern: domain experts and superforecasters have systematically underestimated the pace of artificial intelligence progress across capability benchmarks, economic adoption indicators, and diffusion metrics. This article examines the organizatio...
Jonathan H. Westover· AI Strategy: The Journal of...· 0 citations
This research article examines the imminent transformation of business and labor structures driven by artificial intelligence, critically analyzing adoption timelines and organizational impacts. Drawing on both primary survey data from 127 organizations and secondary research from institutional reports, the study quant...
Jonathan H. Westover· AI Strategy: The Journal of...· 0 citations
The research-practice gap in Human Resource Development (HRD) represents a persistent structural challenge that limits the translation of academic knowledge into organizational action. This article synthesizes insights from 29 HRD scholars and scholar-practitioners across five countries to examine how they conceptualiz...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
Contemporary organizations face the complex challenge of integrating diverse workplace resources—spanning digital tools, inclusive practices, sustainability initiatives, and well-being programs—into coherent systems that simultaneously support employee flourishing and organizational effectiveness. This theoretical pape...
Jonathan H. Westover· Workplace Culture: The Journ...· 0 citations
This mixed-methods study examines how organizations develop AI-first HR functions by fundamentally reimagining people operations rather than merely adopting new technologies. Drawing on survey data from 152 HR leaders, 24 in-depth interviews, and longitudinal case studies of 8 organizations during 2022-2024, the resear...
Jonathan H. Westover· AI Strategy: The Journal of...· 0 citations
The proliferation of artificial intelligence in talent acquisition has introduced both unprecedented efficiency gains and significant ethical challenges. This article examines the mechanisms through which algorithmic bias emerges in automated hiring systems and evaluates evidence-based governance frameworks for promoti...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
Artificial intelligence systems are evolving beyond individual assistants into organized collectives of specialized agents—planners, reviewers, synthesizers, and memory managers—that coordinate work before outputs reach human decision-makers. This article examines the organizational behavior of agentic AI and its impli...
Jonathan H. Westover· Human Capital Leadership Rev...· 0 citations
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