The AI revolution: How Germany can master the change

In its latest study, the International Monetary Fund urges countries to make more agile adjustments: Artificial intelligence (AI), especially generative AI, will fundamentally change many areas of our lives and work in the coming years. While some experts are raving about a new golden age of productivity, others fear massive job losses and a worsening of social inequality. What does this mean for Germany?

The change is inevitable: AI will automate many tasks that are still performed by humans today. This applies not only to simple, repetitive tasks, but also to more complex tasks in areas such as administration, finance and even creative professions. According to IMF estimates, around 30% of all jobs in Germany are at risk from AI.

Threat to economic stability: Increasing automation not only poses risks for the labor market, but could also exacerbate the next economic crisis. In times of downturn, companies tend to invest more in automation and at the same time lay off employees in order to cut costs. This effect could be exacerbated by AI, as it also threatens higher-skilled jobs. The result would be massive job losses, financial instability and a worsening of social imbalances.

Further training is the key

In order to survive in the age of AI, employees must continuously adapt and expand their skills. Lifelong learning is becoming a necessity. Policymakers must set the course here and create a broad range of retraining and further education programs that are tailored to the requirements of the new labour market. Sector-specific training that addresses the needs of specific industries is particularly important.

The study takes a detailed look at various forms of further training that are required in the face of automation driven by generative AI. It emphasizes the need for a comprehensive approach that covers various aspects:

1. lifelong learning: In view of rapid technological developments and constantly changing work requirements, lifelong learning is becoming increasingly important. The study recommends the promotion of programs that enable workers to continuously update their skills and adapt to new technologies. Singapore is cited as an example of a country that offers unconditional subsidies for continuing education for all adults throughout their working lives.

2. sector-specific training: The study highlights the importance of sector-specific training programs that are tailored to the needs of specific industries. As an example, it cites programs in the US that focused on workers in industries such as manufacturing, healthcare, transportation and ICT and led to significant increases in income.

3. retraining and further training: For workers who lose their jobs due to automation, retraining and upskilling programs are critical. The study refers to studies that show that retraining programs can be more effective than in-company training programs for workers who have lost their jobs due to offshoring.

4. integration of labor market policy and social assistance: The study recommends the integration of active labor market policy (ALMP) into social assistance programs. This could mean that continued eligibility for social assistance benefits is linked to participation in programs that offer job search assistance, counseling services or skills training.

5. adaptation of education systems: Education systems must adapt to new circumstances and prepare workers for the jobs of the future. Flexibility and adaptability are crucial in order to be able to respond to the changing demands of the labor market. The study also emphasizes the importance of interdisciplinary skills such as critical thinking, analytical skills and strategic thinking.

6. use of AI in education: The study indicates that generative AI can also be used in education itself to promote the development of generic skills.

Germany should realign its policy

Studies by the International Monetary Fund (IMF) show that fiscal policy plays a decisive role in exploiting the benefits of AI while minimizing the risks.

What does this mean in concrete terms for Germany?

Modernize social protection systems: Unemployment insurance needs to be made more flexible and generous to better support workers during the transition. Social assistance should also be strengthened to cushion those hit particularly hard by the AI revolution. The IMF recommends extending the scope and generosity of unemployment insurance and reviewing wage insurance.
Reform the education system: The focus must be on flexibility and adaptability. In addition to technical qualifications, interdisciplinary skills such as critical thinking, problem-solving skills and creativity must be promoted more strongly.
Tax capital income more heavily: In order to combat increasing inequality and secure tax revenues, the IMF recommends taxing capital income more heavily. This could be achieved through higher taxes on capital gains, dividends and capital gains. At the same time, tax incentives that excessively favor automation should be reconsidered.

The AI revolution offers Germany great opportunities, but also major challenges. Only with a forward-looking policy that focuses on the needs of employees can the country successfully shape the change and reap the benefits of AI for everyone. This also includes taking the dangers of AI for financial stability seriously and taking measures at an early stage to prevent the next economic crisis from worsening.

Further training is the key

Germany should realign its policy

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