Nexus Institute for Work and AI: The Debate

This research explores how human-AI collaboration relies heavily on the ability of people to build accurate mental models of artificial intelligence error boundaries rather than solely depending on algorithmic accuracy. When organizations deploy AI in critical fields like healthcare and criminal jus...

This research examines workforce reallocation driven by artificial intelligence and automation through 2035, challenging the common narrative of widespread job destruction by highlighting that net labor demand will actually expand. Drawing on research from the McKinsey Global Institute, the text emp...

Labor market data reveals that artificial intelligence adoption is unevenly distributed across the economy rather than advancing uniformly. To effectively prioritize workforce preparation, the research categorizes career areas into four distinct adoption climates: AI hotspots, emerging frontiers, es...

Organizations integrating artificial intelligence into their operations frequently make the strategic mistake of prioritizing workforce automation and headcount reduction over human augmentation. However, research and market forecasts indicate that aggressively cutting staff to capture short-term fi...

When organizations deploy artificial intelligence to assist with high-stakes choices, high standalone accuracy does not automatically guarantee superior team results. Instead, successful collaboration relies heavily on human mental models, which represent a user's internal grasp of where an algorith...

This research explores the alignment paradox in human resources, where the integration of artificial intelligence can unintentionally sever the link between workforce behavior and organizational strategy. While AI tools often increase operational efficiency and improve measurable metrics, they frequ...

This research explores how micro-experiments and artificial intelligence are revolutionizing leadership development by bridging the gap between theoretical knowledge and practical capability. Rather than relying on traditional workshops, the research advocates for small, intentional behavioral tests...

This research explores the necessity of ethical governance and human accountability when integrating artificial intelligence into human resource management. Drawing on research from Thailand, the author argues that organizational readiness depends more on transparent decision-making and practitioner...

This research examines the psychological and operational impacts of integrating artificial intelligence into the modern workplace. It highlights a critical tension between increased organizational productivity and the heightened anxiety employees feel regarding job security and professional identity...

This research outlines a strategic framework for redesigning organizational workflows following workforce reductions driven by artificial intelligence. Rather than focusing solely on cost-cutting, the research advocates for a three-step rebuilding process that involves mapping current workforce capa...