IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/19750_22.html
   My bibliography  Save this book chapter

Career options and necessary technical skills in AI

In: Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship

Author

Listed:
  • Evangelia Krassadaki
  • Nikolaos Matsatsinis

Abstract

This chapter presents issues related to the labour market in Artificial Intelligence (__) technologies, career opportunities in the industry, as well as AI technical skills. It is a fact that AI applications are growing globally, however the utilization of such technological competences require high specialization. The demand for skilled staff is usually covered by the global market because at national level this is not always possible, while at the same time jobs in AI technologies are estimated to skyrocket over the next decades. Today, at global level, demand is much higher than job offer, which appears to get worse in the coming years. Companies, such as Google, Amazon, Baidu, Microsoft etc. are investing billions in AI, and the AI-related job market is growing extremely rapidly. Moreover, a large number of ready AI tools, mainly in the Machine Learning (ML) field that has dominated the last decades of 21st century, offer opportunities to businesses and organizations to get involved and built machine learning solutions for their needs and customers. All of these job opportunities require specific knowledge and expertise or in other words specific technical skills, as they are referred to in this document.

Suggested Citation

  • Evangelia Krassadaki & Nikolaos Matsatsinis, 2023. "Career options and necessary technical skills in AI," Chapters, in: Elias G Carayannis & Evangelos Grigoroudis (ed.), Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship, chapter 22, pages 350-366, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:19750_22
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/edcoll/9781839106750/9781839106750.00035.xml
    Download Restriction: no
    ---><---

    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:elg:eechap:19750_22. 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.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.