IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v11y2026i1id52852.html

Analytical Study of Challenges and Opportunities for Business Analysts in Emerging Economies Amidst AI and Automation for Evolving Skill Requirements

Author

Listed:
  • Jeewan Singh

    (Senior Business Analyst, Critical Mass, Omnicom, USA)

Abstract

Artificial intelligence (AI) and automation are rapidly changing the face of work in numerous industries. For business analysts, especially those working in developing economies where digital change is still ramping, these shifts bring both hurdles and new possibilities. This paper takes a closer look at how the daily realities of business analysts are being reshaped by these technologies—pinpointing which skills are fading in relevance and which are becoming essential. Using a mix of published research, industry studies, and real-world examples, this study explores not only how automation affects job efficiency and employment prospects but also how analysts can adapt through upskilling and lifelong learning. This research highlights a clear trend: while machines are taking over routine analytical tasks, uniquely human strengths, such as framing problems, thinking critically, and communicating with stakeholders, are coming to the forefront. This paper wraps up with practical ideas for training, skill building, and policy changes that could help business analysts stay valuable as automation accelerates.

Suggested Citation

  • Jeewan Singh, 2026. "Analytical Study of Challenges and Opportunities for Business Analysts in Emerging Economies Amidst AI and Automation for Evolving Skill Requirements," European Journal of Business and Management Research, European Open Science, vol. 11(1), pages 107-112, January.
  • Handle: RePEc:epw:ejbmr0:v:11:y:2026:i:1:id:52852
    DOI: 10.24018/ejbmr.2026.11.1.52852
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/52852
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/52852/13789
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2026.11.1.52852?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:epw:ejbmr0:v:11:y:2026:i:1:id:52852. 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    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.