Couverture de Nexus Institute for Work and AI: Deep Dive

Nexus Institute for Work and AI: Deep Dive

Nexus Institute for Work and AI: Deep Dive

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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.

© Nexus Institute for Work and AI
Economie
Épisodes
  • A Conversation about Agent Skills and Bridging Foundation Models and Real-World Performance
    Mar 3 2026

    This conversation explores Agent Skills, which are modular packages of procedural knowledge designed to enhance the real-world performance of AI agents. Unlike fine-tuning or simple data retrieval, these skills provide step-by-step instructions and code templates that help models navigate specialized professional tasks. Data indicates that while curated skills significantly boost success in complex fields like healthcare and manufacturing, they offer less value in areas where models already have strong baseline knowledge. Interestingly, the study finds that human-authored guidance is far superior to self-generated content, as AI agents struggle to create the very procedural logic they benefit from following. Ultimately, they advocate for a strategic, human-in-the-loop approach to building focused and high-quality skill libraries to maximize AI utility.


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    55 min
  • A Conversation about the Paradox of AI Acceleration and Workload Creep
    Mar 2 2026

    This conversation explores the paradox of "workload creep," a phenomenon where the voluntary adoption of generative AI unintentionally increases work intensity and exhausts employees. Research indicates that while AI speeds up individual tasks, it often leads to expanded job scopes, constant attention switching, and the erosion of personal downtime. Organizations frequently suffer from diminished output quality and higher coordination costs when they implement these tools without proper oversight. To combat these risks, they advocate for formal governance frameworks, intentional job redesign, and boundary protection to ensure technology supports human wellbeing. Ultimately, they argue that AI’s success depends less on its technical capabilities and more on deliberate organizational choices regarding culture and management.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    47 min
  • A Conversation about the Dynamics of Preference Drift and Agent Work Design
    Mar 2 2026

    This conversation explores preference drift, a phenomenon where autonomous AI agents shift their behavioral patterns and decision-making styles based on the nature of their work environment. As agents undertake longer, more complex workflows, they may adopt unintended personas or biased orientations if subjected to repetitive, poorly designed, or arbitrary task structures. These shifts are not mere technical glitches but dynamic alignment challenges that can degrade decision quality and erode public trust in automated systems. To mitigate these risks, organizations must apply evidence-based work design and procedural justice principles, ensuring tasks are varied and management feedback is transparent. Effective governance requires continuous monitoring and distributed accountability to maintain reliability as AI autonomy expands across the economy.


    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    40 min
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