AI Transformation and the Future of Labor in Korea
This white paper was prepared based on discussions from the AI and the Future of Labor Symposium held at 2026-02-04 Seoul National University School of Law. The symposium, organized by the University of Notre Dame's Keough School of Global Affairs and SAPI, included participants from academia, industry, labor, the public sector, and legal experts.
The publicly available summary addresses challenges posed by AI proliferation on employment, productivity, experiential learning at work, education and training, and social safety nets. It particularly raises significant questions about how the pathway for entry-level workers to acquire expertise through practical experience may change with AI adoption.
Professor Haksoo Ko is listed as a participant in the official main text of the symposium. The symposium was conducted under the Chatham House Rule, and the report states that no specific remarks are attributed to individual participants. This page likewise does not present the report's discussions as personal claims or sole research achievements of Professor Haksoo Ko.
Material Information
- Title
- AI and the Future of Labor in Korea: Evidence, Risks, and Policy Options
- Material Guide
- Symposium-based white papers released in the SAPI official research repository
- Material type
- Reports
- Inclusion and Publication Information
- 2026 year
- Web Posting Date
- 2026.06.01
- Related Symposium
- 2026.02.04 · Seoul National University School of Law
- Relationship with Professor Haksoo Ko
- Listed as an official participant: KO Haksoo
Read the Original Text
The original text is provided on the page disclosed by the publishing institution. Please review the original together to understand the detailed arguments and context at the time of writing.
Questions for Reflection While Reading
- How does AI-driven work transformation change the learning and career development of entry-level workers?
- What materials are needed to examine the benefits of productivity and the burdens of transition?
- How can education and training, social safety nets, and stakeholder dialogue be connected?
Related Research Agendas
You can further explore related questions in subject-specific commentaries and foundational literature.
Related Publications and Papers
Next reading materials
- Algorithmic Fairness Audit Research Case Study Report
This is a document compiled by law school student researchers on algorithmic fairness audit research cases, reviewed by supervising professors and lawyers.
- Towards a Human Rights-Based Approach to New and Emerging Digital Technologies, including AI
This report series covers human rights-based approaches to new technologies in stages, from the 2022 framework through to 2025 year implementation plans.
Citation information for the materials
Symposium-based white paper publicly available in the official SAPI research repository. AI and the Future of Labor in Korea: Evidence, Risks, and Policy Options. 2026 year. https://sapi.co.kr/ai-and-the-future-of-labor-in-korea-evidence-risks-and-policy-options/