Government Targets 200,000 AI Specialists and 200,000 Jobs by 2030 as Youth Employment Falls 1.7 Points
Updated
Updated · asiae.co.kr · Jul 16
Government Targets 200,000 AI Specialists and 200,000 Jobs by 2030 as Youth Employment Falls 1.7 Points
2 articles · Updated · asiae.co.kr · Jul 16
Summary
Q3 is the government's deadline to unveil a Youth Employment Recovery Plan centered on training more than 200,000 advanced-industry specialists and finding over 200,000 quality jobs by 2030.
200,000 trainees would be steered into youth-preferred fields including semiconductors, data centers and physical AI, while incentives would be strengthened from job search and hiring through onboarding and career development.
63,000 more people were employed in June than a year earlier, but the youth employment rate fell 1.7 percentage points and weakness persisted in manufacturing and construction.
Middle East tensions and other external uncertainties were cited as fresh risks to the labor market, prompting the Job Task Force to prepare sector-specific support measures and roll them out sequentially.
With AI fueling 'jobless growth,' can Korea's new plan truly rescue its struggling youth job market?
Can new subsidies save Korea's manufacturers from the dual threat of AI costs and rising wages?
South Korea’s National AI Strategy: 200,000 Youth Jobs by 2030 and the Blueprint for Inclusive Growth
Overview
South Korea’s Lee Jae-myung administration has launched a comprehensive national strategy to address urgent challenges like youth employment and economic competitiveness in the AI era. Positioned as a national imperative, the plan aims to secure the country’s technological leadership and ensure national survival by building a future-ready workforce. A key commitment is the creation of 200,000 youth jobs by 2030, supported by measures such as youth asset formation and the introduction of a youth-type Individual Savings Account. This integrated approach reflects a strong government focus on empowering young people and preparing the nation for the demands of the AI-driven future.