IDEAS home Printed from https://ideas.repec.org/p/ris/kietrp/2025_003.html
   My bibliography  Save this paper

A Policy Blueprint for Unlocking AI's Potential in South Korea

Author

Listed:
  • Song, Danbee

    (Korea Institute for Industrial Economics and Trade)

  • Cho, Jaehan

    (Korea Institute for Industrial Economics and Trade)

Abstract

As a leading general-purpose technology, artificial intelligence (AI) is expected to accelerate digital trans¬formation across industries and exert widespread economic and social impacts. With AI now being rec¬ognized as a new driver of economic growth, governments worldwide are actively implementing policies to advance AI development and adoption. However, despite high expectations for and growing interest in AI, its adoption in South Korea remains limited, with the majority of businesses struggling to see tangible benefits. In order to leverage AI as a catalyst for growth in Korea, it is essential to establish a virtuous cycle between AI utilization and performance through both industry-specific and integrated policies. This paper describes the main characteristics and a set of policy priorities designed to facilitate AI adop¬tion in South Korea. They include: (1) strengthening demand-driven AI innovation capabilities to embed AI into industries; (2) expanding comprehensive financial support for AI-industry convergence; (3) improving AI workforce development systems and aligning human resources management with labor market needs; and (4) establishing a proactive risk management framework along with a “negative” regulatory approach to ensure businesses can freely leverage AI technology.

Suggested Citation

  • Song, Danbee & Cho, Jaehan, 2025. "A Policy Blueprint for Unlocking AI's Potential in South Korea," Research Papers 25/3, Korea Institute for Industrial Economics and Trade.
  • Handle: RePEc:ris:kietrp:2025_003
    as

    Download full text from publisher

    File URL: https://www.kiet.re.kr/en/pub/economyDetailView?detail_no=3016&year=&month=&stype=&sval=&pg=1&pp=10
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    artificial intelligence; AI; industrial AI; manufacturing AI; digital transformation; AI adoption; technology adoption; productivity; AI policy; technology policy; South Korea; Korea Institute for Industrial Economics and Trade; KIET;
    All these keywords.

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L88 - Industrial Organization - - Industry Studies: Services - - - Government Policy

    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:ris:kietrp:2025_003. 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: Aaron Crossen (email available below). General contact details of provider: https://edirc.repec.org/data/kiettkr.html .

    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.