Nexus Institute for Work and AI: Research Deep Dive

This research explores how generative AI can bridge the gap between theoretical knowledge and practical application in professional education through role-play simulations. By utilizing a framework from the National University of Singapore, the research illustrates how large language models provide ...

This research explores the complex organizational evolution required to move from basic artificial intelligence access to tangible business value. Research indicates that while generative AI has diffused rapidly, its success depends on complementary investments in human capital, redesigned workflows...

This research explores how automation devalues the psychological significance of work even before employees are actually replaced by machines. While traditional economic focus remains on job loss, this analysis highlights a "meaning externality" where the mere existence of capable AI reduces a worke...

Traditional performance reviews are broken—but what comes next? In this episode, we dive into groundbreaking research that's reshaping how organizations evaluate their people. We explore the Integrated Personnel Evaluation Model and unpack three critical tensions facing modern workplaces: Can algori...

This research explores how generative artificial intelligence is transforming knowledge-intensive organizations by acting as a collaborative partner rather than a simple tool. Research indicates that individuals using AI can match the performance quality of traditional teams while effectively bridgi...

This research explores the burgeoning moral and economic crisis of "disposability" within the modern workforce, a trend significantly intensified by the rise of artificial intelligence. Approximately 35% of American workers now occupy precarious roles as contractors, freelancers, or marginal employe...

This research explores the complex transition from initial corporate adoption of generative AI to its meaningful integration within workplace operations. While software access has expanded rapidly, research indicates that larger, resource-rich firms are the primary leaders in deepening their usage o...

This research explores the economic and structural conditions that dictate when organizations replace human employees with artificial intelligence. Rather than viewing automation as a purely technological inevitability, the research argues that displacement is a strategic decision based on risk-adju...

This research explores the AI premium, a phenomenon where stock markets systematically assign higher valuations to companies that demonstrate deep and sophisticated artificial intelligence adoption. Research indicates that investors prioritize frontier model usage and complex, agentic workflows over...

This research examines the systemic problem of algorithmic bias in critical fields like employment, finance, and criminal justice. It argues that AI tools are not neutral observers but sociotechnical artifacts that frequently inherit and amplify human prejudices through biased training data. Beyond ...