What happened
The Korea SMEs and Startups Agency (KOSME) officially declared a new talent development vision focused on artificial intelligence (AI) and opened a dedicated manufacturing AI education center at its facility in Ansan, Gyeonggi. The initiative aims to transition the focus of small and midsize enterprise (SME) workforce development from traditional skill-based training to data-driven AI transformation (AX). KOSME has set a target to train 60,000 AI specialists for the SME sector by 2030, supported by three core strategies: cultivating AX specialists, strengthening field-centered job competencies, and expanding public roles for regional development.
The Korea SMEs and Startups Agency (KOSME) held a 'future talent development vision declaration ceremony' on November 6, 2026, at its Ansan training center. The event was attended by approximately 300 stakeholders, including industry association representatives and corporate leaders.
The newly opened manufacturing AI education center integrates AI technology into the existing training infrastructure. It features a learning hub, a vision practice lab, an AX experience zone, and an integrated control room designed to simulate real-world manufacturing environments.
KOSME's new vision, 'a learning hub that develops future talent leading the AX transformation of small and midsize ventures,' marks a departure from the center's historical focus on traditional job competencies, which has been its mandate since 1982.
The agency has outlined a mid- to long-term roadmap to support the AI transformation (AX) of SMEs, emphasizing practice-driven training that allows employees to apply AI tools immediately upon returning to their respective manufacturing sites.
Source details: biz.chosun.com
Why it matters
This initiative represents a significant structural shift in how South Korea’s SME sector approaches industrial modernization. By moving away from traditional manual skill sets toward AI-integrated manufacturing, KOSME is attempting to bridge the digital divide that often leaves smaller firms behind in the global AI race. The establishment of a physical, practice-oriented training center provides a concrete environment for workers to apply AI to real-world manufacturing scenarios. This effort is critical for maintaining the competitiveness of the Korean manufacturing base, which relies heavily on the efficiency and innovation of its small and midsize suppliers.
The transition from experience-based manufacturing to data-centric AI operations is a major hurdle for SMEs that lack the R&D budgets of large conglomerates. KOSME’s intervention serves as a public-sector bridge to provide these firms with the necessary human capital.
By focusing on 'field-centered' competencies, the program aims to demystify AI for incumbent workers, potentially reducing resistance to automation and digital transformation within traditional manufacturing sectors.
The initiative is part of a broader national effort to ensure that the benefits of AI are distributed across the economy, rather than being concentrated solely in large tech firms or high-tech sectors, thereby supporting balanced regional economic growth.
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What to watch next
The primary metric for success will be the agency's ability to meet its goal of training 60,000 specialists by 2030. Observers should monitor whether the curriculum effectively translates into measurable productivity gains or successful AI deployments within the participating SMEs. Additionally, it remains to be seen how the agency will scale this model beyond the Ansan facility to ensure balanced regional development across Korea. The effectiveness of the 'vision practice lab' and 'AX experience zone' in providing actionable, rather than theoretical, skills will be a key indicator of the program's long-term utility for the manufacturing workforce.
The agency has not yet disclosed specific enrollment criteria, costs for participating companies, or the exact breakdown of the 60,000-person training target by year.
Future reports will need to clarify how the 'vision practice lab' integrates with specific industrial software or hardware platforms, as the current announcement focuses on the facility's existence rather than its specific technical partnerships.
The long-term impact will depend on whether the training leads to tangible 'AX' (AI transformation) outcomes, such as improved production efficiency or reduced downtime, rather than just general AI literacy.