A Global Perspective: Key Forces Transforming Global Manufacturing

By: Gavin Turner  7/30/2026

In this episode of Inside the Smart Factory, Thomas Rilke from the Deutsch Messe Technology Academy in Hanover, Germany, unpacks the realities of modern manufacturing. The conversation dives deep into emerging industrial technologies, the universal struggle to find skilled workers, and why the future of manufacturing relies just as much on global collaboration as it does on artificial intelligence. The manufacturing journey consists of collaboration that is needed to push the idea of Industry 4.0.   

Figure 1: Ben Absher from Peak Performance and Thomas Rilke from Deutsche Messe

Industry 4.0 and the Role of Deutsch Messe Technology Academy globally

Thomas explains that Industry 4.0 is an ongoing process requiring continuous learning, training, and networking. The Deutsch Messe Technology Academy fosters global networks to support industry transformation by providing: Training programs tailored for ongoing Industry 4.0 integration, information exchange across global industrial academies and institutes, and collaboration with technology partners to bridge knowledge gaps.

He stresses that Industry 4.0 cannot be purchased like a product; it must be built through collaboration and education.

The Workforce Gap: Europe and the US

Manufacturers around the world are facing many of the same workforce challenges, including skilled labor shortages and an aging workforce. While each region has developed its own strategies, there is significant opportunity to learn from one another's successes.

Learning from Europe's Dual Education Model: In many European countries, trainees divide their time between vocational schools and hands-on experience in manufacturing facilities. Although this model requires a substantial investment from employers, it helps develop highly skilled workers while fostering strong employee engagement, loyalty, and long-term retention.

Advancing Workforce Development in the United States: American manufacturers are also investing in innovative workforce solutions to strengthen recruitment, training, and retention. Programs such as the U.S. Smart Factory Institute's Industrial Maintenance Mechanic apprenticeship are helping companies build sustainable talent pipelines by combining technical education with practical, on-the-job experience. As these initiatives continue to evolve, they offer opportunities to incorporate proven practices from global apprenticeship models while addressing the unique needs of the U.S. manufacturing workforce.

Together, these approaches demonstrate that addressing the manufacturing talent gap is not about one region having all the answers about sharing ideas, adapting successful strategies, and building a stronger global manufacturing workforce.

Global Sourcing in a Connected World

Exclusive reliance on local suppliers is an outdated strategy in today's connected manufacturing landscape. Global sourcing now provides access to complementary regional strengths.

The United States leads in AI, cloud computing, rapid software development, and global automation markets. Alongside these points, the USA has only one smart factory dominating the field by providing workforce retraining/upskilling. Meanwhile, Europe and Germany dominate in traditional automation, sensors, actuators, machine building, and robotics, sharing the robotics and traditional automation stage with innovators in Japan and South Korea. Institutions like the Deutsch Messe Technology Academy play a critical role in helping companies navigate these diverse regions to integrate the best possible technological solutions.   

Navigating AI: Hype to Value

To avoid falling into the "AI hype trap," Thomas recommends that facilities focus on three foundational pillars. First, operations must prioritize integration by fully embedding AI into existing production systems rather than buying isolated solutions. Second, workforce development is critical; employees need the skills to understand and act upon AI-derived insights. Finally, facilities must establish strong foundational data management, as AI cannot function without clean, accessible baseline data. Institutions like the Smart Factory Institute in Tennessee are actively supporting this transition by offering specialized training programs, such as peak performance data analytics classes.

Looking Ahead: The Next 5 Years

Manufacturing is on the verge of a rapid transformation driven by data availability. As facilities become increasingly data-driven, they will necessitate an incredibly solid data infrastructure to support the continuous adoption of advanced automation and AI.

To prepare for this future today, companies should focus immediately on making their data clean, accessible, and usable across all operations. Simultaneously, heavy investment in workforce training, specifically emphasizing data literacy, is non-negotiable. By collaborating with institutes for early access to emerging technologies and embracing global partnerships over strictly domestic solutions, manufacturers can position themselves for resilient, long-term success.

Make sure to tune into InsideTheSmartFactory Episode 3, as Ruwen from EF Robotics will be joining to discuss questions related to Labor Shortages to Smart Operations, How Autonomous Robotics Can Strengthen the American Manufacturing Workforce.