South Korea has launched a major new policy, the “Youth New Deal,” aimed at tackling rising youth unemployment. Despite overall employment increasing, the proportion of young people (aged 15–29) in work has fallen to 43.5%, its lowest level since the pandemic. This highlights a key economic issue: growth in jobs does not always benefit all groups equally.
The government’s plan targets around 100,000 young people through four main strategies: training, work experience, reintegration support, and hiring incentives. From an economics perspective, this represents government intervention in the labour market to correct imbalances.
One major problem is a skills mismatch, where the skills young workers have do not match those demanded by employers. The training programmes — focused on industries like AI and finance — aim to improve human capital, making workers more productive and employable.
At the same time, firms are increasingly favouring experienced workers, leaving young people struggling to enter the job market. This is an example of structural unemployment, caused by changes in the economy such as technological advancement. The expansion of AI is also reducing demand for some entry-level roles, further worsening the issue.
The government is also offering financial incentives to firms, particularly small and medium-sized enterprises (SMEs), to encourage them to hire young workers. This can be seen as a way to increase the demand for labour, shifting the demand curve to the right.
However, such policies come with trade-offs. While they may reduce unemployment in the short term, they can be costly for governments and may not fully solve deeper structural issues in the labour market.
For students, this case shows how governments attempt to tackle unemployment using a mix of supply-side policies (training) and demand-side incentives (subsidies to firms). It also highlights how technological change and labour market dynamics can create challenges for young workers.
And if you’re worried about entering the job market… remember: every generation thinks theirs is the toughest. The key is building skills that are hard to automate — and maybe making sure you’re better at using AI than it is at replacing you.