“Welcome to the coffee roastery of the future. Robots operate as if guided by an invisible hand. They roast the beans, fill and package them, and then store the retail-ready packs in high-bay racking. Sensors report wear and tear on the machinery and robots, while AI-driven systems trigger repairs before the production lines grind to a halt.
Humans are still present, of course, but they play hardly any role in actual production.
Personnel, electricity, and material costs—as well as storage expenses—can be slashed to a minimum; manufacturing costs drop by 43 percent compared to current levels. A German coffee roaster operating this way need not fear low-cost competition from abroad.
This example is not drawn from a science fiction novel, but from an analysis by the management consultancy Boston Consulting Group (BCG).
In their analysis, the consultants address a question central to the German economy: Can the creeping deindustrialization that began about a decade ago—and has already cost around half a million jobs—still be halted?
Their findings offer hope: thanks to improved AI applications and robotics, industry experts see factories standing on the brink of a massive technological leap forward. Germany could emerge as a major winner.
"If we succeed in making factories more productive—thereby reducing the impact of labor and energy costs—we can achieve a better economic position in certain industries than products imported from China," says BCG Managing Director Daniel Küpper.
This does not apply to every sector, but it does hold true for a significant number of them.
Küpper and his co-authors see the "factory of the future" as being within reach. This factory is largely self-regulating; not only is it more productive, but it also consistently delivers high quality. Visions of this kind—and steps toward realizing them—have existed for years, championed by consultancies that earn their revenue through industrial contracts is being promoted. Yet, despite all the progress made, the massive leap in productivity has failed to materialize. One reason for the consultants' renewed optimism is the progress made in robotics.
"Robots can now be deployed in areas for which they were not explicitly trained," says Küpper.
He estimates "that today we can automate around 50 percent more applications than three years ago." Furthermore, the costs for installing and setting up autonomous systems—which previously accounted for 70 to 80 percent of total costs—have dropped drastically. Today, systems are trained in a photorealistic environment and then transferred to the hardware in a single step; this saves a great deal of money and suddenly turns the retooling of factories into a viable "business case."
To assess the implications of this trend, the consultants surveyed 1,000 industrial companies worldwide and conducted their own calculations. According to the findings, China's competitive advantage over Germany is shrinking noticeably in several key industrial sectors, such as the automotive industry. In other areas—such as food production—Germany is actually overtaking China when it comes to manufacturing goods for the domestic market. These projections assume that investments in AI-driven factories are being made in both China and Germany. "Logistics costs and tariffs carry more weight when other expenses—such as wages and energy—are lower in the highly productive factory of the future," Küpper explains regarding the results.
All in all, BCG concludes that more than one trillion dollars' worth of current industrial value creation in Western and Northern Europe is at risk of migrating elsewhere. Modern factories could help retain more than 700 billion euros within the region. Experts see little long-term potential for the remaining textile and electronics industries in this part of the world.
The outlook for the mechanical engineering sector is mixed; currently, this key German industry is not considered to be at as much risk as others. "But ten years ago, we said the same thing about the automotive industry—and having seen how quickly things ultimately moved in China," says Küpper.
Assuming these ultra-modern factories can indeed retain significant parts of the industry in Germany, the question arises: What is the benefit if hardly any people are employed there?
Consultant Küpper rejects this objection. People would still work in highly automated factories, too. "There will continue to be jobs in indirect production areas, such as maintenance," he says. Dystopian predictions of the prospect of looming mass unemployment unrealistic. "Looking 30 or 40 years ahead, I do not anticipate mass unemployment—not at all. However, I do fully expect us to experience significant structural upheavals."
For this transition to succeed, the primary responsibility lies with companies. That said, the consulting firm also sees a duty on the part of policymakers to facilitate the transformation. According to BCG, Germany’s strict employment protection laws, in particular, stand in the way of rapid transformation. If the costs associated with layoffs and severance packages are too high, the restructuring becomes unprofitable—leading to long-term economic consequences.
Economists attribute the fact that the United States has outpaced Europe in productivity since the 1990s partly to the more flexible labor market across the Atlantic. Consequently, calls for relaxed employment protection laws represent more than just a standard demand from employers.” [1]
If you remove Germany’s strict employment protection laws and other European social protections, there will such a backlash to robotics that the backlash to AI in the USA will look like walk in a park.
Removing Germany's employment laws and social safety nets would cause severe public backlash against robotics. Workers and unions would strongly resist automation that threatens job security. This social upheaval would likely dwarf current public resistance to artificial intelligence in the United States.
Why Backlash Would Happen
• Strong Unions: German workers have powerful labor unions. These groups protect jobs and fight rapid changes.
• Social Safety Net: People rely on stable jobs for healthcare and pensions. Losing that safety net creates high fear.
• Cultural Value: Germany values job stability and fair work. Sudden job losses break public trust.
Comparison to the USA
• Different Rules: The USA has fewer labor protections. Workers expect less job security by default.
• Acceptance of Tech: American markets adopt new tech faster. Public protest against AI remains relatively low and fragmented.
• Scale of Anger: Removing European protections strips away a way of life. The resulting anger would be massive.
How do you slash German personnel costs if you keep all people employed? How do you slash German electricity costs when AI is not running without huge amounts of energy and rest of your energy needs will stay there undiminished? How do you slash German material costs, when you have too expensive energy to produce materials in a competitive on the world market way? How do you make German factories more productive than China’s, using Chinese robots in those factories? Your own robots are too expensive and too low quality to compete. If you make people destitute, expect return of fascists and defeat in a war.
1. Ist "Made in Germany" noch zu retten?: China und die USA laufen der deutschen Industrie den Rang ab, produziert wird im Ausland. Doch durch Künstliche Intelligenz kann der Trend gestoppt werden, sind Unternehmensberater überzeugt. So funktioniert ihre Rechnung. Frankfurter Allgemeine Zeitung; Frankfurt. 28 May 2026: 16. Von Johannes Pennekamp, Frankfurt
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