IDEAS home Printed from https://ideas.repec.org/h/spr/kmochp/978-3-032-14721-9_11.html

The Future of AI Must Drive Wisdom, Otherwise it Has No Future: A Framework Toward AI-Enabled Human Wisdom

In: Managing Human and Artificial Knowledge

Author

Listed:
  • Alexander Kaiser

    (Vienna University of Economics and Business, Department of Knowledge Management)

  • Markus F. Peschl

    (University of Vienna, Department of Philosophy & Vienna Cognitive Science Hub)

  • Ernst Wageneder

    (Vienna University of Economics and Business, Department of Knowledge Management)

Abstract

Cognitive technologies such as generative artificial intelligence (AI) have demonstrated impressive capabilities, yet their capacity to generate wisdom remains limited. Wisdom emerges from embodied human experience, relational resonance, ethical judgment, and a commitment to the common good—dimensions AI lacks due to its reliance on curated, syntactic representations of knowledge. This conceptual paper argues that while AI cannot be wise in itself, it can support humans in cultivating wisdom. We propose an AI-enabled framework that fosters human resonance with the world and the self as a dynamic, transformative process. AI can serve as a reflective partner by facilitating deeper insight, perspective-taking, and uncovering hidden assumptions and worldviews. It can also inspire creative interaction with the world and support processes of meaning-making. Building on this, this chapter introduces the paradigm of spiritual knowledge management, which shifts the focus from efficiency and predefined goals to enabling personal and organizational flourishing. In this view, AI becomes a cocreative guide—not a substitute for human wisdom, but a catalyst for deeper knowing, self-actualization, and the unfolding of one’s future version in resonance with the world.

Suggested Citation

  • Alexander Kaiser & Markus F. Peschl & Ernst Wageneder, 2026. "The Future of AI Must Drive Wisdom, Otherwise it Has No Future: A Framework Toward AI-Enabled Human Wisdom," Knowledge Management and Organizational Learning, in: Ettore Bolisani & Maayan Nakash & Constantin Bratianu & Ruxandra Bejinaru (ed.), Managing Human and Artificial Knowledge, pages 223-245, Springer.
    • Handle: RePEc:spr:kmochp:978-3-032-14721-9_11
    DOI: 10.1007/978-3-032-14721-9_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:kmochp:978-3-032-14721-9_11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.