IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-91405-8_19.html
   My bibliography  Save this book chapter

The Potential of Web3 in the Data Economy and AI Opportunities

In: Tokenizing the Future

Author

Listed:
  • Kai Schmitz-Hofbauer

Abstract

The importance of data for almost every digitization endeavor is undisputed—in the business as well as in private and social contexts. However, a significant challenge arises from the fact that a few large companies, due to their market power and capital, have access to vast amounts of data. These companies possess a substantial volume of data, and many of them offer free services through which they gain access to user data and the right to monetize that data—of course on a voluntary basis. The use of these free services is essentially paid for with the user data. Although government regulations and policies of course define important framework conditions, this is a challenge to the competitive landscape, particularly for individuals and, notably, for small and medium-sized enterprises (SMEs). The imbalance in data access, control and monetization can become an obstacle for these entities, impacting their competitiveness in the digital age.

Suggested Citation

  • Kai Schmitz-Hofbauer, 2025. "The Potential of Web3 in the Data Economy and AI Opportunities," Springer Books, in: Wolfgang Prinz & Daniel Trauth (ed.), Tokenizing the Future, pages 289-308, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-91405-8_19
    DOI: 10.1007/978-3-031-91405-8_19
    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

    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:sprchp:978-3-031-91405-8_19. 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.