[Editorial] What Is the Point of an AI Job-Loss Warning System If It Only Rings the Alarm?

A Korean-style 'Canary Dashboard' that tracks in real time the impact of Artificial Intelligence (AI) on the labor market will now be built in earnest. The Ministry of Employment and Labor (MOEL) said it will develop the system together with major state-run research institutes, including the Korea Labor Institute, the Korea Development Institute (KDI), and the Science and Technology Policy Institute, in order to detect warning signs early. It also plans to develop a Korean AI exposure index and closely monitor hiring trends by industry and occupation to respond quickly to risks. The ministry also intends to roll out tailored support measures for young people who have remained out of work for a long time and are simply taking a break.
It is only natural for the government to respond in advance to the employment shock caused by AI. The biggest blow from AI-driven change in the workplace is likely to fall on young people just entering the job market. That is because AI is already replacing tasks that new hires have typically handled, such as data organization, document drafting, coding assistance, and basic analysis. In effect, the first rung on the ladder that allows young workers to gain experience and become skilled professionals is disappearing rapidly.
China's labor market offers a clear example of this risk. China is widely seen as one of the fastest adopters of AI. As the Chinese government pushes to raise AI utilization in key industries to 90% by 2030, concerns about a backlash in the form of unemployment are emerging across the country. Citigroup recently projected that, in the long term, about 70 million Chinese workers could be affected by AI. That figure amounts to nearly 10% of all jobs in China.
We cannot afford to treat this as someone else's problem. According to an analysis by the Korea Labor Institute, the employment index for workers aged 15 to 29 in AI-exposed occupations has continued to decline since ChatGPT appeared. Before the already severe youth job crisis hardens into a structural employment emergency as AI spreads, effective countermeasures must be prepared without delay.
The 'Canary Dashboard' could become a useful warning system for identifying which industries, occupations, and age groups are hit first by AI. It would help policymakers move beyond vague fear or optimism and design policies based on real changes in employment, wages, and job roles. If vulnerable sectors are identified in advance and training and job-transition support are concentrated there, policy efficiency will also improve.
Still, we must remember that sounding the alarm alone does not create jobs. The Moon Jae-in administration also installed an 'employment dashboard' in the presidential office and made job creation its top state priority. But it failed to expand quality jobs and drew criticism for focusing only on managing statistics for show. Increasing short-term public jobs to make the numbers on the dashboard look better is a completely different matter from creating long-term private-sector jobs.
Above all, it is important to build a sophisticated workforce supply system that matches corporate demand on the ground. That will require joint efforts by companies, universities, and vocational training institutions. MOEL and the Ministry of Education of the Republic of Korea must also act more proactively. Cooperation from labor unions is equally essential so that the productivity gains from AI can become a seed for youth hiring. Only when the rigid employment culture is loosened can the labor market withstand the shock from AI.