🔥 Reach more than 3.9 million VERIFIED eyes and ears each month 🔥 Learn more here
Nexus Institute for Work and AI: The Debate
Where AI Research Meets Debate
Where cutting-edge research meets real conversation. Join us as we debate the findings from the Nexus Institute—exploring how AI is reshaping work, leadership, and organizations. Each episode brings rigorous insights to life through dynamic discussion, helping you navigate technological transformation while building workplaces where innovation and human potential flourish together.
A Debate about the AI Values Test
Artificial intelligence has rapidly evolved into a crucial signal of employer character, prompting many workers to evaluate prospective companies based on their technological principles. Global survey data reveals that a majority of employees will reject job offers if an organization's AI ethics cla...
A Debate about Supervising Artificial Intelligence at Work
While organizations frequently adopt generative artificial intelligence with the expectation of saving time, employees actually invest substantial hours into supervisory labor, a phenomenon increasingly recognized as botsitting. This hidden work involves providing context, monitoring output, debuggi...
A Debate about Algorithmic Management and Workplace Governance
Modern organizations increasingly rely on algorithmic management software to direct, monitor, and evaluate employees, creating significant legal exposure and governance challenges. Regulatory bodies have responded aggressively to these automated practices, highlighted by a massive Dutch data protect...
A Debate of Governing Shadow AI at Work
Shadow AI occurs when employees rapidly adopt unapproved generative technologies to boost daily productivity, driven by a lack of official tools and clear communication. This hidden experimentation creates severe organizational risks, including data exposure, security vulnerabilities, and higher bre...
A Debate to Enrich, Not Extract
Organizations frequently deploy artificial intelligence with a productivity-first approach that focuses strictly on maximizing output and reducing headcount, which often leads to employee fear, hidden usage, and stagnant adoption. Field research demonstrates that framing artificial intelligence inst...
A Debate about the Experience Advantage: Age-Inclusive AI in the Workforce
Modern organizations frequently exclude older workers from artificial intelligence capability development due to persistent technological stereotypes and biased algorithmic hiring tools. Empirical data demonstrates that employees aged fifty and older possess strong interest in artificial intelligenc...
A Debate about the Displacement Shadow: Fear of AI Replacement and Workplace Conduct
This research examines how artificial intelligence adoption generates widespread workplace anxiety about job and occupation obsolescence, ultimately undermining employee conduct and organizational commitment. Research demonstrates that the fear of technological replacement triggers moral disengageme...
A Debate about Bridging the AI Dividend Gap
The AI dividend gap describes the uneven distribution of generative artificial intelligence benefits in the workplace, where advantages flow primarily to college graduates, managers, and knowledge workers rather than frontline staff. Although research demonstrates that novices and lower-skilled empl...
A Debate about the AI Hiring Arms Race
The modern recruitment landscape is experiencing an arms race as generative artificial intelligence floods employers with an overwhelming volume of polished applications while simultaneously fueling rising candidate fraud. This widespread technological adoption has diminished traditional application...
A Debate about the Cloned Voice at the Top
This research investigates the growing threat of deepfake executive impersonation, wherein bad actors leverage generative artificial intelligence to convincingly clone the voices and appearances of corporate leaders. It emphasizes that the core vulnerability is hierarchical and cultural rather than ...