German Economics Minister Katherina Reiche has described artificial intelligence (AI) as a critical survival opportunity for Germany’s industrial base. In statements at the Hannover Messe, Reiche emphasized that AI represents a chance for Germany to maintain its position as a leading industrial production location.
She highlighted Germany’s substantial industrial data assets as a key advantage, allowing the country to leverage AI for enhanced competitiveness in global markets. This view aligns with broader comments from Chancellor Friedrich Merz at the same event. Merz argued that industrial AI requires lighter EU regulation than consumer-facing applications to boost productivity, efficiency, resource optimization, and cost reduction.
He pledged to push for easing the regulatory burden and potentially exempting industrial AI from overly strict rules, calling the current EU framework a regulatory straightjacket. Merz sees AI as essential for Germany to catch up in key technologies and embed it deeply into manufacturing. The fair has featured discussions on scaling industrial AI, with participation from top CEOs, industry leaders, and policymakers.
Themes include transforming established companies or startups into new industrial champions through AI adoption, using Germany’s strengths in manufacturing data, robotics, and physical systems like Siemens-Nvidia partnerships for AI-driven industrial operating systems. Projections suggest widespread AI use in industry could add at least 1 percentage point to annual real GDP growth.
Germany’s push reflects concerns about deindustrialization risks amid high energy costs, global competition especially from the US and China, and the need to modernize Industrie 4.0 with AI. Officials frame it as a window of opportunity where industrial-scale AI—applied to production, supply chains, simulation, and maintenance—can help preserve jobs and value creation rather than just displacing them.
Digital Minister Karsten Wildberger has echoed calls for faster innovation over heavy regulation and supported shifting some AI rules for sectors like medical devices or machinery to more tailored sectoral laws. Germany is investing in AI infrastructure, including data centers and gigafactories, while initiatives like Manufacturing X aim to build collaborative industrial data spaces.
There’s acknowledgment of potential job shifts in software or routine tasks, but the dominant government narrative stresses net gains through higher productivity and new opportunities in tech-enabled manufacturing. This optimistic stance from Reiche and Merz comes as Germany seeks to strengthen its industrial core—manufacturing still accounts for a large share of GDP compared to many peers—by turning AI into a competitive edge rather than a threat.
The discussions at Hannover Messe underscore urgency: act quickly to avoid losing ground. This stance reflects Germany’s urgency to leverage its manufacturing strengths amid high energy costs, labor shortages, slowing growth, and global competition from the US and China.
Widespread industrial AI adoption could add at least 1 percentage point to annual real GDP growth, according to Economy Ministry projections, potentially delivering substantial cumulative value creation over the coming years. Germany’s advantages include one of the world’s largest pools of industrial data, strong expertise in automation, mechanical engineering, robotics, and physical systems.
This could help reverse recent weaknesses: low investment, declining manufacturing output, and export pressures. Manufacturing still represents about 25.8% of German GDP vs. ~17% in the US, making AI integration a potential differentiator for preserving value creation and high-wage jobs rather than offshoring.
Projections indicate net positive effects through new business models and reduced material inputs, though benefits accrue gradually rather than as an immediate shock. Merz has explicitly called the EU AI Act a regulatory straightjacket too restrictive for industrial applications and pledged to push for lighter rules—or exemptions—for factory AI compared to consumer-facing uses.
The goal is faster scaling in areas like production optimization, supply chains, and simulation. This push faces resistance in Brussels, with some member states opposing carve-outs that could favor big industrial players. Germany is also advocating shifting certain AI rules for sectors like machinery or medical devices to tailored sectoral laws instead of the horizontal AI Act.
Supporting initiatives include the High-Tech Agenda with significant funding for AI, quantum, microelectronics, etc., investments in AI gigafactories, data centers, and infrastructure like Manufacturing X for collaborative industrial data spaces. Success depends on execution: accelerating innovation while maintaining safety, cybersecurity, and trust.
Germany’s shrinking working-age population amplifies the need for productivity boosts via AI to sustain output without proportional labor increases. Challenges include reskilling and upskilling at scale and managing regional disparities. The narrative emphasizes co-intelligence where humans, AI, and machines collaborate, potentially preserving more jobs in a high-wage economy than pure automation would.
Reiche’s AI framing underscores a pragmatic bet: without rapid, targeted industrial AI deployment, Germany risks losing ground in global manufacturing. With it—and supportive policy adjustments— the country could reinforce its industrial core, boost productivity to offset demographic and cost pressures, and create new growth avenues.
Outcomes will hinge on how quickly regulation adapts, infrastructure scales, and the workforce transitions. Hannover Messe 2026 served as a clear platform for this industrial policy pivot, with tangible demos from exhibitors showing the shift from pilots to operational impact.










