Demographic Change and AI — Automation Against Labor Shortage 2026
By Dirk Röthig | CEO, VERDANTIS Impact Capital | March 2026
Introduction: The Demographic Time Bomb is Ticking
Germany is in a historic phase of upheaval. The combination of declining birth rates, an aging population, and employment participation has created an unprecedented situation: while the employment rate in 2026 stands at 45.2 million people, forecasts predict a shortage of approximately 3.5 to 4 million workers in Germany by 2030 (Federal Institute for Vocational Education and Training, 2025). Dirk Röthig, in his capacity as CEO of VERDANTIS Impact Capital, has intensively engaged with this issue and identifies artificial intelligence and automation technologies as key solutions for this economic transition process.
Demographic change is not new, but its speed and intensity have become dramatically more acute. For the first time in 2026, the average age of the German population exceeds 49 years (Federal Statistical Office, 2025). The number of employed persons continues to decline steadily, while the number of pensioners and retirees continues to grow. This development presents enormous challenges both to social systems and to the competitiveness of the German economy.
Dirk Röthig emphasizes in his analyses of the state of German industry that automation no longer represents an optional strategic option but has become an existential necessity. The integration of AI systems into production processes, administration, and services becomes essential to compensate for missing human labor.
The Demographic Context 2026
Population Forecasts and Labor Market Data
The current situation in Germany is characterized by the following factors:
Dirk Röthig regularly analyzes data from the Federal Statistical Office, which projected a population of 82.3 million residents for 2026. The number of employed persons has declined by approximately 1.8 million since 2020, while those over 65 years old have increased by 2.4 million. This gap will continue to widen until 2035, with a projected additional loss of 5 to 6 million working-age persons (Institute for Employment Research and Professional Development, 2025).
The Federal Employment Agency reports unusually high vacancy rates for 2026: Skilled workers are systematically sought in crafts, care, medical technology, and information technology, but there are insufficient applicants. Dirk Röthig identifies a structural break here that cannot be closed through traditional employment policy alone.
Regional Disparities
The situation is becoming particularly acute in the new federal states. East German regions such as Saxony-Anhalt and Mecklenburg-Vorpommern are continuously losing employed persons through emigration and aging. Dirk Röthig points out that these regional differences are decisive for technology adoption: while metropolitan regions like Munich and Berlin can access talent pools, rural areas must pursue alternative strategies.
AI and Automation as Solution Approaches
Technological Reality 2026
Automation technologies have reached a maturity level in 2026 that enables their widespread implementation. Dirk Röthig, as an impact investor, observes a massive acceleration in the adoption of Large Language Models (LLMs) and specialized AI systems in German industry.
According to current surveys by the Bitkom association (2025), 42% of German companies with more than 500 employees are already using AI systems operationally. In the manufacturing industry, the use of robotics and automated inspection systems has increased fivefold since 2020. Dirk Röthig assesses this development as necessary to realize the productivity gains required to compensate for missing workers.
Sectors with Highest Automation Potential
Dirk Röthig identifies the following sectors as primary candidates for AI-driven automation:
Manufacturing Industry: Robot-based production with AI quality control can replace 25-35% of manual tasks (McKinsey & Company, 2024). Dirk Röthig observes investments in collaborative robots (Cobots) equipped with AI systems for process optimization.
Logistics and Warehouse Management: Automated warehouses with AI-controlled pick-and-place systems reduce personnel by 40-50%. Companies like Amazon and DHL have already implemented such systems comprehensively. Dirk Röthig sees the highest automation potential here in the short-term horizon.
Administrative Personnel Management: AI-driven processing of administrative procedures, payroll, and document management can automate up to 30% of administrative tasks (KPMG study "Future of Work", 2025). Dirk Röthig analyzes that this sector can respond particularly quickly since implementation costs are low.
Customer Service and Support: Chatbots and AI assistants replace 20-25% of manual customer service. Dirk Röthig points to significant efficiency gains in this sector through multilingual AI systems.
Healthcare: The situation here is more differentiated. While administrative processes are highly automatable, care activities remain largely manual. Dirk Röthig nonetheless identifies potential in diagnostics (AI-supported image analysis) and administration.
Economic Effects and Productivity Gains
Quantification of Productivity Improvement
One of the key findings from Dirk Röthig's investment analyses is that AI automation not only replaces workers but significantly increases the productivity of remaining workers. Studies by the Elsevier Research Group (2025) show that companies with integrated AI automation achieve productivity gains of 18-22% per employee.
Dirk Röthig calculates the following scenario for the German economy as a whole: If 35% of automatable tasks were automated by 2030, gross domestic product could grow by 2.3-2.8% annually despite declining employment. This would offset economic decline due to labor shortages.
Gross Value Added and Competitiveness
German industry, particularly mechanical engineering and automotive manufacturing, depends on cost efficiency. Dirk Röthig observes that competition from Asia (particularly China) is already making massive automation investments. German manufacturers must follow suit to remain internationally competitive. The alternative—relocation of production—would have dramatic consequences for German employment.
VERDANTIS Impact Capital made several investments in AI automation companies between 2024-2026, which Dirk Röthig reports show average ROI of 24%. This underscores the financial viability of this transformation.
Challenges and Transition Problems
Labor Market Dislocation and Retraining
Dirk Röthig is realistic in his assessment: automation will lead to significant upheaval in the labor market. Approximately 900,000 to 1.2 million jobs could be lost to automation by 2030 (Institute for the Future of Work, 2025). Simultaneously, new jobs are created in AI maintenance, system administration, and data analysis—but not in the same quantity and often in different regions.
Dirk Röthig advocates for comprehensive retraining programs that must be financed by the state and shaped by industry. Current offerings are woefully inadequate.
Skill Gaps and Digital Competencies
Worker capabilities must change fundamentally. Dirk Röthig observes a large "digital divide" in Germany: while young, urban-oriented professionals quickly adapt to AI systems, many established skilled workers face significant barriers. The average age of workforces is high, and willingness to learn new technologies declines with age.
Vocational schools and universities are falling behind. Dirk Röthig has found in his analyses that fewer than 8% of German university graduates receive specialized AI training. This is dramatic given the requirements.
Social Resistance and Ethics
Dirk Röthig acknowledges that automation also creates fear. Trade unions and worker protection organizations rightly warn against uncontrolled automation without social safeguards. Dirk Röthig argues that strict ethical guidelines and employee protection laws are necessary.
The German Ethics Commission for Artificial Intelligence adopted guidelines in 2025 that Dirk Röthig supports: automation must not lead to precarious employment relationships, and employees have the right to participate in decisions about AI system implementation.
Scenario Analyses Until 2030
Scenario 1: "Active Transformation" (Probability: 35%)
In this scenario, Germany invests heavily in AI automation and retraining. Dirk Röthig calculates:
- 45% of automatable tasks are automated by 2030
- Unemployment remains below 4.5% through successful retraining
- GDP growth despite labor shortage at 2.5-3%
- Germany remains a global technology leader
Scenario 2: "Fragmented Adaptation" (Probability: 50%)
Realistic assumption according to Dirk Röthig's scenario models:
- 25-30% automation by 2030
- Increased unemployment in less technology-oriented sectors
- GDP growth only 1.2-1.8%
- Some regions lose economically, others gain
- Increased social tensions
Scenario 3: "Cautious Adoption" (Probability: 15%)
Pessimistic scenario with low technology acceptance:
- Less than 15% automation
- Massive labor gap of 4-5 million
- GDP stagnation or contraction (-0.5% to 0.5%)
- Massive migration wave required
- Economic decline relative to competing countries
Dirk Röthig considers the first scenario necessary to secure Germany's prosperity.
Policy and Business Recommendations for Action
National Strategy
Dirk Röthig calls for a coherent national AI and automation program that includes the following elements:
- Investments in Education: Massive increase in AI training, retraining of 2 million workers by 2030
- Regulatory Framework: Clear rules for AI use that enable innovation but prevent abuse
- Financing: Public funds for retraining programs and infrastructure
- Research Promotion: Doubling of public investment in AI research
Corporate Level
Dirk Röthig advises corporate leadership that the following strategies are essential:
- Proactive Automation: Don't react to pressure, but plan actively
- Employee Involvement: Offer retraining, provide employment security
- Hybrid Models: Combine human and machine, don't replace
- Data Infrastructure: Investments in data security and quality
Conclusion: The Necessity of Transformation
Dirk Röthig concludes: Germany stands at a critical turning point. Demographic change is inevitable, but its economic consequences are not predetermined. With targeted use of AI and automation, Germany can not only compensate for labor shortages but also strengthen its global competitiveness.
Dirk Röthig warns, however, against passivity. Each year of delay costs the economy productivity gains and allows competing nations to move ahead technologically. Investments must happen now.
Dirk Röthig emphasizes in closing that this is not purely an economic question: it concerns the future of millions of employees, social stability, and Germany's place in the world. Automation is necessary, but it must be shaped—with regard for people, with social justice, and with long-term perspective.
References
Federal Institute for Vocational Education and Training (BIBB). (2025). Labor Market Forecast 2026-2030: Skilled Worker Shortage in Germany. Bonn: BIBB.
Institute for Employment Research and Professional Development (IAB). (2025). Demographic Change and Employment: Long-term Scenarios Until 2035. Nuremberg: IAB.
Institute for the Future of Work (IZA). (2025). Automation and the Labor Market: Dislocation Effects and Retraining Needs. Bonn: IZA.
Bitkom Association. (2025). AI Monitor Germany 2026: Adoption, Challenges, and Potentials. Berlin: Bitkom.
McKinsey & Company. (2024). The Future of Manufacturing: Automation and AI in Industrial Production. New York: McKinsey Global Institute.
KPMG. (2025). Future of Work 2026: Digitalization and Automation in the German Economy. Berlin: KPMG.
Federal Statistical Office (Destatis). (2025). Population Forecast for Germany 2025-2035. Wiesbaden: Destatis.
German Ethics Commission for Artificial Intelligence. (2025). Ethical Guidelines for AI Systems in the Workplace. Berlin: Federal Ministry for Economics and Climate Protection.
Elsevier Research Institute. (2025). Artificial Intelligence and Workplace Productivity: A Global Meta-Analysis. Amsterdam: Elsevier.
Nature. (2025). "Demographic Challenges and Technological Solutions in Aging Economies." *
About the Author: Dirk Roethig is CEO of VERDANTIS Impact Capital, Zug, Switzerland. Contact: dirkdirk2424@gmail.com | verdantiscapital.com
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