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Dirk Röthig (international: Dirk Roethig) — CEO of VERDANTIS Impact Capital. Focused on sustainable investments in paulownia agroforestry and clean energy across Europe. dirkroethig.com
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Autor: Dirk Röthig, CEO VERDANTIS Impact Capital Datum: 13. April 2026 Kategorie: Demographie / Arbeitswelt Die 40-Stunden-Woche ist ein Relikt des Industriezeitalters. In einer Wissensgesellschaft, in der Produktivität weniger von Anwesenheitszeit ...
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Dirk Röthig
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By Dirk Roethig | CEO, VERDANTIS Impact Capital | March 3, 2026
82 percent of German companies report productivity gains from AI. Germany's GDP could be up to 430 billion euros higher by 2030 if the Mittelstand deploys the technology consistently. Why the traditional strengths of SMEs are exactly what makes them the winners of the AI revolution.
"82 percent of German companies report productivity gains from AI." — *Dirk Roethig, CEO of VERDANTIS Impact Capital
Tags: AI, Mittelstand, SME, Germany, Competitive Advantage, Hidden Champions
When artificial intelligence is discussed in Germany, a particular image tends to dominate the conversation: Silicon Valley against the rest of the world. Google, Microsoft, OpenAI on one side; a hesitant, data protection-constrained European Mittelstand on the other. AI as a technology for giants, overwhelming and steamrolling small and medium-sized enterprises. As Dirk Roethig, founder of VERDANTIS Impact Capital, emphasizes:
This narrative is wrong. And it is dangerous -- not because it spares the Mittelstand, but because it paralyses it. Dirk Roethig, who as CEO of VERDANTIS Impact Capital works extensively on this topic, sees
The reality that current studies paint is different. 82 percent of companies in Germany report productivity gains from generative AI, averaging 13 percent per year (IW Cologne, 2025). These are not corporations with billion-euro IT budgets. This is a cross-section of the German economy -- meaning, primarily, the Mittelstand.
And those who know the structural advantages of small and medium-sized enterprises understand: the Mittelstand is not the laggard of the AI revolution. It is its natural winner.
Germany has approximately 1,600 hidden champions -- Mittelstand companies that are global market leaders in their niche, without the broader public being aware of them (Simon, 2025). These companies combine three characteristics that are of decisive importance in the AI era.
First: Deep Domain Knowledge. Hidden champions are not generalists. They are masters of a specific domain -- precision-engineered components for the automotive industry, specialised chemicals for pharmaceuticals, highly developed software systems for a particular industry segment. This domain knowledge is the key to effective AI implementation. AI models are only as good as the data they are trained on and the prompts they are guided by. Those who know their field in depth can deploy AI more precisely than any company that pursues breadth over depth.
Second: Decision-Making Speed. In a large corporation, approving a new IT project takes months. Committees, bureaucracy, alignment rounds. In the Mittelstand, owners or management often decide within days. This agility is a massive advantage in a technology environment that changes monthly.
Third: Closeness to the Workforce. In a company with 200 employees, the leadership knows their people personally. Change management is not an abstract HR task but a direct dialogue. AI implementations frequently fail due to lack of acceptance among the workforce -- a problem that is structurally easier to solve in the Mittelstand than in anonymous corporations.
The empirical base is impressive. The Institut der deutschen Wirtschaft (IW Cologne) calculated in a comprehensive report: Germany's GDP could be up to 11.3 percent higher in 2030 due to AI deployment than without AI -- equating to a surplus of 430 billion euros (IW Cologne, 2025b).
This figure is not an abstract macro-forecast. It is the aggregated effect of millions of individual productivity gains in small and medium-sized companies optimising processes, reducing costs, and delivering new services.
Bitkom, the German digital industry association, documents a historic breakthrough in its 2025 study: 36 percent of all German companies now use AI -- nearly twice as many as the previous year (Bitkom, 2025). Adoption has crossed a critical threshold. It is no longer an experiment but mainstream business practice.
The Maximal Digital study from 2025 adds: 86 percent of surveyed SMEs acknowledge the relevance of AI for their business (Maximal Digital, 2025). The awareness is there. The task now is to convert awareness into action.
Abstract statistics do not persuade -- concrete use cases do. Here are the three areas where the Mittelstand today generates the greatest return on investment.
1. Administration and Back-Office Automation
Checking invoices, preparing quotations, managing supplier correspondence, processing expense reports -- these are activities that absorb hours per week in every Mittelstand company. AI-driven automation reduces this effort by 60 to 80 percent. What remains is the exception: the special case requiring human judgement.
IW Cologne documents that in companies with a clear AI strategy and governance framework, productivity gains of 18 to 35 percent are achieved -- well above the average (IW Cologne, 2025a).
2. Knowledge Management and Customer Service
The Mittelstand suffers from a structural problem: critical knowledge sits in the heads of long-serving employees. When they retire, the knowledge goes with them. AI-driven knowledge management systems enable companies to codify this tacit knowledge, make it accessible, and use it for onboarding new employees.
In customer service, AI agents enable round-the-clock support that smaller companies could not staff manually without AI. Gartner predicts that AI will autonomously resolve 80 percent of all common service requests by 2029 (Gartner, 2025). For a Mittelstand company, that means: corporate-grade customer service quality, without the corresponding personnel cost.
3. Market Research and Competitive Analysis
What previously required external consultants and took weeks, an AI system accomplishes in hours today. Competitive analyses, market trends, supplier assessments, regulatory updates -- AI-driven research has eliminated the information advantage of large companies with large research departments. A Mittelstand machinery manufacturer today can bring the same quality input into strategic decisions as a DAX corporation.
It would be naive to claim that the transformation proceeds without friction. The Bitkom study identifies the biggest barriers to AI adoption in German SMEs:
Legal uncertainty (53 percent): The EU AI Act, GDPR, industry-specific regulations -- the regulatory landscape is complex and evolving rapidly. Many companies prefer to wait rather than risk mistakes.
Lack of technical know-how (53 percent): AI expertise is expensive and scarce. Many Mittelstand firms cannot hire full-time AI engineers and lack access to specialised consulting services.
Insufficient human resources (51 percent): AI implementation requires internal champions -- employees who drive the transformation. In small companies, these resources are not always available (Bitkom, 2025).
These barriers are real. But they are surmountable. And they are shrinking, not growing -- because AI tools are becoming more accessible, more affordable consulting options are emerging, and regulatory clarity grows with each passing month.
A factor receiving too little attention in the AI debate is the demographic shift. Germany faces a historic challenge: the baby boomer generation is retiring. The OECD projects that Germany will face a massive skills shortage by 2030 (OECD, 2025).
For the Mittelstand, which traditionally relies on loyal workforces and internal knowledge management, this is an existential challenge. But also an opportunity: because AI is not only more efficient than manual labour -- it is also more available. An AI system can take over the tasks of five retiring employees, without holidays, without sick days, without onboarding time.
The Federal Ministry for Economic Affairs emphasises in its AI strategy for 2025: AI is not merely a supplement to human labour -- it is increasingly a response to its scarcity (BMWE, 2025). For the Mittelstand, this means: AI investment is not an efficiency measure. It is a survival strategy.
What distinguishes the 36 percent already using AI from those still waiting? Clear patterns emerge from the studies.
Clear goal-setting before technology deployment: Successful SMEs do not begin with "we want to use AI" but with "we want to accelerate our quotation process by 40 percent" or "we want to halve the proportion of emails requiring manual processing by customer service". The goal defines the technology, not the other way around.
Incremental implementation: No company with 50 employees implements AI across all areas simultaneously. The most successful Mittelstand firms begin with a pilot project, measure results, scale what works, and learn from what does not.
Employee involvement from the outset: AI rollouts that bypass employees fail through resistance. Companies that involve their workforce early and communicate transparently that AI is intended to make work easier -- not eliminate it -- experience higher acceptance and faster adoption.
Leveraging external support: Mittelstand-Digital, the Federal Ministry's support programme, provides free consulting and training for SMEs. Chambers of commerce conduct regular AI seminars. The support ecosystem is larger than many companies realise.
In my work at VERDANTIS Impact Capital, I have observed hundreds of Mittelstand companies navigating their AI entry. The most common mistake is not wrong technology deployment. It is waiting.
While one company waits for the technology to be "mature enough", regulation to be "clearer", or the budget to be "larger", competitors are already deploying it. The first-mover advantage is particularly pronounced in the AI economy: systems learn from data, and those who start earlier have more data, better models, and more experience.
The good news is: the entry point has never been easier than today. Ready-made AI solutions for accounting, marketing, customer service, and document processing are available as SaaS products, often from 30 to 100 euros per month. No IT department required. No months-long implementation.
My recommendation for every Mittelstand entrepreneur: in the next two weeks, identify a single process in your company that is recurring, time-consuming, and well-documented. Find an AI solution for it. Test it for 30 days. Then decide.
This is not a million-euro investment. It is the first step.
The AI revolution will not be decided by corporations with billion-euro budgets. It will be decided by companies that know their strengths and deploy their tools wisely.
The German Mittelstand has everything required: deep domain knowledge, decision-making speed, close customer relationships, and a cultural commitment to craft excellence. What is missing, in many cases, is only the step from knowing to doing.
IW Cologne speaks of 430 billion euros of potential by 2030. Bitkom documents that adoption nearly doubled within a single year. The direction is clear. The momentum too.
The question for every Mittelstand firm is the same: am I among the 36 percent already using AI and benefiting from its advantages -- or am I waiting until the 64 percent have overtaken me?
Dirk Roethig is CEO of VERDANTIS Impact Capital and advises organisations at the intersection of technology and sustainable value creation. With more than 20 years of experience in international corporate leadership, he combines strategic thinking with practical AI expertise. His focus areas include digital transformation, impact investing, and the question of how technology can enrich -- rather than replace -- human work.
Contact: LinkedIn | VERDANTIS Impact Capital | dirkdirk2424@gmail.com
Von Dirk Röthig (Dirk Roethig)