Europe, AI & Industrial Leadership: The Rise of Industrial Copilots and Humanoid Robotics

Despite falling behind the United States and China in recent years and facing a significant investment gap in key technology areas, Europe has not given up on the global AI race. At the inaugural “Siemens Tech Minds Erlangen” event, Siemens CEO Roland Busch and Schaeffler CEO Klaus Rosenfeld shared their vision of the future of industry in the age of Artificial Intelligence. Their discussion highlighted a strong conviction: AI is not simply another technology trend—it is a transformative force capable of reshaping the entire industrial value chain.

Europe’s Competitive Advantage: Industrial Data and Domain Expertise

Europe is unlikely to win the race for the next generation of large general-purpose AI models against American and Chinese technology giants. However, Europe possesses a unique advantage: decades of industrial expertise, advanced manufacturing capabilities, digital twins, and an exceptional wealth of industrial data.

European companies can differentiate themselves by developing specialized AI models trained on their own high-quality, industry-specific data—data that is often difficult for competitors to access or replicate. Organizations that successfully convert these assets into operational intelligence have a realistic opportunity to achieve leadership positions in specific industries and applications.

Europe’s AI future will likely be built on specialization and industrial use cases rather than on competing directly in the race for the next universal foundation model.

Industrial Copilots: The Next Productivity Revolution

One of the most promising developments discussed was the emergence of Industrial Copilots.

Tomorrow’s engineers, maintenance technicians, operators, and quality managers will increasingly be supported by AI assistants capable of instantly accessing technical documentation, machine data, operating procedures, and historical records.

The objective goes far beyond automating administrative or repetitive tasks. Industrial Copilots have the potential to democratize expertise, shorten learning curves, improve decision-making, and increase productivity across organizations.

This embedded intelligence could support every stage of the industrial lifecycle—from engineering and design to production, maintenance, logistics, and customer service.

Humanoid Robots: A New Industrial Ecosystem

Humanoid robots are attracting massive global investment and attention.

Beyond their human-like appearance, they represent the convergence of several strategic technologies:

• Artificial Intelligence
• Computer Vision
• Advanced Sensors
• Precision Actuators
• Autonomous Software Systems
• Digital Twins and Simulation

Their technological architecture shares many similarities with autonomous vehicles.

For industrial companies such as Schaeffler, the opportunity is not necessarily to manufacture complete humanoid robots, but to become key suppliers of the critical technologies and components that will enable their large-scale deployment.

The Real Challenge: Building a Continuous Learning Mindset

One of the most powerful messages from the discussion concerned human skills and workforce transformation.

In the AI era, technical expertise alone is no longer enough.

The ability to continuously learn, adapt, experiment, and embrace change is becoming a critical competitive advantage.

Organizations must actively support their workforce in:

🔍 Viewing AI as an enabler rather than a threat

🔍 Making continuous learning part of everyday work

🔍 Encouraging curiosity, agility, and resilience

🔍 Promoting experimentation and rapid adoption of new technologies

In this environment, a growth mindset may become just as important as technical expertise itself.

AI Must Transform the Entire Value Chain

The greatest value of Artificial Intelligence does not lie in isolated applications.

Its real impact emerges when it is deployed across the entire industrial ecosystem:

• Research & Development
• Product Design
• Materials Science
• Manufacturing
• Maintenance
• Supply Chain & Logistics
• Customer Support
• Infrastructure Management

Tomorrow’s industrial intelligence will be integrated end-to-end, connecting strategy, engineering, operations, and services.

AI and Employees: Towards the Augmented Workforce

Artificial Intelligence will make people more productive—but not obsolete.

Routine tasks will increasingly be automated.

At the same time, uniquely human capabilities such as creativity, judgment, leadership, innovation, collaboration, and strategic decision-making will become even more valuable.

One statement from the discussion perfectly captured this evolution:

“AI takes care of the what and the how; humans remain responsible for the why and the where to.”

The challenge for organizations is therefore not replacing employees, but enabling them to operate at a higher level of value creation.

Europe’s Challenge: Regulation, Execution Speed and Industrial Sovereignty

Europe possesses significant strengths:

• A powerful industrial base
• Unique industrial data assets
• World-class engineering capabilities
• Global leaders across many sectors

Yet these strengths are often constrained by:

❌ Market fragmentation

❌ Data silos

❌ Limited data-sharing culture

❌ Complex regulatory environments

❌ Lower investment levels compared with the United States and China

The question is therefore no longer whether AI will transform industry.

The real question is:

Which companies—and which regions—will learn fastest how to integrate AI into their products, processes, and business models?

In the years ahead, the speed of learning and adaptation may become as important a competitive advantage as the technology itself.

Conclusion

Artificial Intelligence is no longer a topic reserved for research labs or technology start-ups.

It is rapidly becoming the nervous system of modern industry.

For Europe, the opportunity is not necessarily to compete head-on with global technology giants in the race for general-purpose AI. Instead, its strength lies in combining industrial data, engineering excellence, domain expertise, and powerful industrial ecosystems to create the next generation of high-value industrial solutions.

The future of European industry will not be determined solely on factory floors.

It will be determined by Europe’s ability to transform its data, expertise, and collective intelligence into sustainable competitive advantage through Artificial Intelligence.