KCTU’s Digital Policy Push Risks Protecting Yesterday’s Jobs at the Expense of Tomorrow’s Workers

South Korea’s labor debate is increasingly moving into digital policy. On February 11, the Ministry of Employment and Labor (MOEL) launched a consultative body with the Korean Confederation of Trade Unions (KCTU) to discuss artificial intelligence, automation, and industrial restructuring. The body brings union leadership into regular policy discussions with the government on issues such as AI deployment and workplace transformation.

KCTU leaders framed the initiative as necessary to ensure that technological change follows a “human-centered” approach as AI spreads across workplaces. With more than one million members, KCTU is a major institutional actor in Korea’s policy ecosystem, and its policy positions carry real weight in regulatory debates.

The key question is not whether labor should participate in shaping digital policy. It should. The question is whether the policy direction being advocated will actually help workers over time. The available evidence does not show an economy already experiencing large-scale AI-driven job loss. Statistics Korea reported that total employment in January 2026 reached roughly 28 million, an increase of about 108,000 from the same month of the previous year.

International evidence points in the same direction. An OECD analysis of AI adoption finds little aggregate employment impact so far across OECD economies, including Korea. These findings suggest that the immediate challenge is not technological unemployment but how to manage productivity growth and worker transition as technologies diffuse.

Yet much of the current debate is moving in a different direction. In recent policy discussions, KCTU has called for stronger safeguards on the use of artificial intelligence in workplace decision-making. Labor leaders have argued that firms should face clearer rules when deploying AI systems that affect hiring, evaluation, or working conditions, and some union proposals emphasize the need for labor-impact assessments as automation expands across industries.

But there is a difference between requiring transparency and building a de facto permission structure around adoption. This distinction matters because the government itself is moving toward a more calibrated model: MOEL’s 2026 work plan calls for industry- and occupation-level surveys on AI transition effects and the development of a labor-sector AI ethics guideline, rather than an upfront presumption that firms should slow deployment until broad social consensus is reached.

This is where the Korean debate is starting to drift. Korea does need safeguards for algorithmic management, AI-based evaluation, and workplace surveillance—but it also needs deployment. The OECD’s Korea study suggests that while AI adoption remains at an early stage, firms and employees are already reporting productivity gains. However, participation in adult learning in Korea is the lowest among OECD countries at just 13 percent, compared to an OECD average of 40 percent, and only 42 percent of firms that have adopted AI report providing training to employees to work with it.

In other words, the bigger bottleneck is not just harmful adoption. Rather, it is weak diffusion paired with weak reskilling. A policy framework that puts most of its energy into restricting employer use of AI, while underinvesting in rapid retraining and worker mobility, would misdiagnose the problem.

Meanwhile, KCTU has increasingly entered broader digital policy debates, including discussions on platform regulation and competition issues surrounding Korea’s Online Platform Fairness Act. A more constructive approach, however, would focus less on resisting technological adoption and more on supporting worker transition as technology diffuses.

Governments can strengthen reskilling systems, improve job-matching infrastructure, and provide temporary income support during periods of labor market adjustment. Such policies help workers move into higher productivity roles while allowing firms to adopt technologies that enable those roles in the first place. When policy frameworks prioritize restrictions on new technologies instead of adaptation, they risk slowing diffusion in sectors where productivity growth is already weak.

The tension becomes clearer when looking at the structure of Korea’s broader labor landscape. Union membership in Korea is concentrated in large enterprises and the public sector, while union density falls sharply in smaller firms. According to official MOEL data, unionization rates reach nearly 72 percent in the public sector and roughly 35 percent in firms with 300 or more employees. In establishments with 30 to 99 workers, the rate is only 1.3 percent, and in firms with fewer than 30 employees, it drops to just 0.1 percent.

This imbalance means organized labor often reflects the interests of workers in relatively stable, well-paid jobs rather than the broader workforce, including younger and nonregular workers, as well as those in emerging digital sectors. This representational gap matters in debates about technological change. Workers in highly unionized sectors are more likely to face automation risks in large manufacturing firms or state-linked industries, while younger and nonregular workers are more likely to participate in fast-growing digital labor markets, including platform services and freelance work.

Policies designed primarily to protect existing job structures may therefore do little to help the groups that are actually expanding within the labor market. In an economy where the majority of workers are employed in services and small firms, regulatory approaches that slow digital adoption may end up protecting a shrinking share of the workforce.

The economic context reinforces the stakes of this debate. Korea’s productivity growth has slowed significantly over the past two decades. OECD data show that Korea’s GDP per hour worked is roughly 70 to 75 percent of the U.S. level. At the same time, Korea is entering one of the fastest demographic transitions in the OECD, with the working-age population projected to decline sharply over the coming decades. In this environment, long-term growth will depend increasingly on technologies that raise output per worker rather than on expanding the labor force.

Automation technologies, including AI and robotics, are central to that adjustment. According to the International Federation of Robotics 2024 report, Korea has the highest robot density in the world, with 1,012 industrial robots per 10,000 manufacturing workers. But global competition is intensifying. China installed 295,000 industrial robots in 2024, accounting for more than half of global installations. For Korean manufacturers facing rising labor costs and aging demographics, automation is not simply a labor-saving tool but a key mechanism for maintaining global competitiveness.

None of this means that worker protections should be ignored. Technologies that reshape workplaces should be accompanied by transparency rules, fair dispute processes, and reskilling opportunities. But the policy objective should be to help workers transition alongside technological change rather than to slow the diffusion of productivity-enhancing technologies. MOEL has already begun expanding training programs to build AI and digital skills among workers, including targeted programs for mid-career workers and employees in small and medium-sized firms.

The deeper risk is that Korea’s digital policy debate becomes framed primarily around protecting existing jobs rather than preparing workers for the next generation of industries. Labor unions have historically played an important role in shaping fair transitions during technological change. If policy debates focus mainly on restricting new technologies, they may end up protecting yesterday’s jobs at the expense of tomorrow’s workers.