Cover of Nexus Institute for Work and AI: Research Deep Dive

Nexus Institute for Work and AI: Research Deep Dive

Nexus Institute for Work and AI: Research Deep Dive

By: WRKdefined Podcast Network
Listen for free

Season's Savings | 0.99 €/month for 3 months

5.99 €/month thereafter - terms apply. Cancel monthly.
Join us for in-depth conversations with leading researchers at the intersection of work and artificial intelligence. Our hosts explore cutting-edge research, practical applications, and the profound implications AI is having on the workplace. From automation and job transformation to ethical considerations and emerging opportunities, each episode unpacks complex topics through thoughtful dialogue with the experts shaping the future of work. Whether you're a researcher, practitioner, or simply curious about how AI is reshaping our professional lives, these deep dives offer valuable insights grounded in rigorous research and real-world experience.All rights reserved by WRKdefined Daily Economics
Episodes
  • A Conversation to Enrich, Not Extract

    A Conversation to Enrich, Not Extract
    26 Oct 2026
    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 instead as an enrichment tool to eliminate tedious tasks and enhance meaningful work dramatically increases engagement, experimentation, and valuable outcomes. To successfully implement this philosophy, leaders must co-diagnose tasks with their teams, support exploration with dedicated learning time, and reinvest saved capacity into more rewarding responsibilities. Furthermore, organizations need to redesign performance metrics around true value instead of raw volume while ensuring that employees feel safe to openly disclose usage. Ultimately, treating work design as a core leadership discipline allows companies to foster long-term trust and genuinely unlock the transformative potential of artificial intelligence.
    Show more Show less
    47 min
  • A Conversation about the Displacement Shadow: Fear of AI Replacement and Workplace Conduct

    A Conversation about the Displacement Shadow: Fear of AI Replacement and Workplace Conduct
    21 Oct 2026
    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 disengagement, leading to counterproductive behaviors and diminished psychological well-being, particularly in highly exposed industries. To counter these negative outcomes, the research argues that leadership action is essential through transparent communication, credible reskilling and redeployment pathways, fair transition processes, and worker involvement in deployment decisions. Furthermore, organizations must track insecurity metrics and establish strong ethical climates paired with clear standards to maintain trust. Ultimately, successfully navigating the AI transition requires leaders to reshape the psychological contract so that continuous technological change is met with sustainable workforce security.
    Show more Show less
    1 hr
  • A Conversation about Bridging the AI Dividend Gap

    A Conversation about Bridging the AI Dividend Gap
    18 Oct 2026
    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 employees often achieve the greatest productivity gains from artificial intelligence, regular tool usage remains concentrated among individuals who already hold high-quality jobs. To address this disparity, organizations must implement broad access, targeted training, and meaningful employee participation in technological decisions. Furthermore, leaders should establish formal agreements regarding gain-sharing and transparency while actively reinvesting productivity dividends into enhanced job roles. Ultimately, closing this divide transforms artificial intelligence from a source of workplace anxiety into an opportunity for shared organizational prosperity.
    Show more Show less
    48 min
adbl_web_anon_alc_button_suppression_t1
No reviews yet