Why Europe Must Accelerate Automation, Skills, and Digital Manufacturing. What’s Next for Automation? (part III)

Europe’s manufacturing sector is entering a decisive moment. Shorter product cycles, structural uncertainty, tightening ROI expectations, and intensifying global competition are no longer isolated challenges. Together, they are redefining what it takes to remain competitive in industrial production.

The question is no longer whether automation and digitalization are necessary, but how fast and how deliberately they must be pursued. The choices made today will determine not only individual company performance, but the long-term position of European industry in a rapidly shifting global landscape.

The final part of the series “What’s Next for Automation?” steps back to examine the broader forces shaping automation decisions today. It explores global competition, workforce constraints, the role of education, and why Europe faces both significant risks and a narrow window of opportunity in the years ahead.

What are the Long-Term Shifts in the Manufacturing Landscape

Manufacturing has always been cyclical. Demand fluctuates, technologies mature, and investment activity rises and falls. What the industry is facing today, however, goes beyond a typical downturn or transition phase.

The current environment is shaped by structural forces rather than temporary disruptions.

These include:

• long-term changes in global competitiveness,
• demographic pressure and persistent labor shortages,
• rapidly advancing technological capabilities outside Europe,
• growing uncertainty around future products, markets, and volumes.

Taken together, these factors redefine the operating conditions for manufacturers and machine builders alike. The central question is no longer when the market will return to stability. It is how to remain competitive while volatility and uncertainty persist as the norm.

From Cost Optimization to Competitive Disruption

The roots of today’s competitive imbalance extend at least two decades into the past. In the early 2000s, European industry significantly expanded its engagement with Asia, both as a production base and as a key growth market. Alongside manufacturing capacity, high-value know-how and advanced technologies were transferred as well.

At the time, this shift was often viewed primarily as a cost optimization strategy. Many expected it to result in lower-cost production or limited replication of existing solutions. Over time, however, transferred technologies were not only absorbed but systematically improved. What began as replication evolved into highly optimized, digitally advanced manufacturing systems that, in many cases, now outperform their original counterparts.

The conclusion is difficult but unavoidable. Technology leadership cannot be externalized without long-term consequences. Once capabilities are transferred, they develop independently, reshape competitive dynamics, and redefine the global balance of industrial power.

Scale, Speed, and Learning Curves: Why Competition Feels Asymmetric

One of the most significant structural differences between Europe and China lies in scale. Population size translates directly into market size, production volume, and the speed at which learning curves are climbed. A larger internal market allows manufacturers to move faster from concept to volume production.

As a result, Chinese manufacturers are able to:

• scale production more rapidly,
• absorb failures and inefficiencies at lower relative cost,
• refine processes through repeated iteration at a pace that is difficult to replicate in smaller markets.

This asymmetry does not make competition impossible for Europe. It does, however, change the conditions under which competition is viable. Efficiency, automation, and digitalization are no longer differentiators. They are baseline requirements for remaining relevant in a global manufacturing landscape shaped by scale and speed.

Labor Shortages Make Automation Inevitable

Beyond global competition, Europe faces a second, unavoidable pressure: people. The shortage of skilled labor is not a temporary issue. Even with increased cooperation between industry and universities, demand for technical competence continues to outpace supply.

Automation, in this context, serves a dual purpose:

• replacing repetitive, physically demanding, or monotonous work,
• and allowing skilled employees to focus on higher-value tasks.

Equally important, modern, automated production environments have become a key factor in employer attractiveness. Talented engineers are far more likely to join organizations that invest in advanced, well-designed manufacturing systems than those relying on outdated, manual processes.

Education As Infrastructure: Closing the Gap Between Theory and Reality

Closer cooperation between industry and education is becoming increasingly important for manufacturing. Practical training environments, such as real production and training lines installed at universities, help students move beyond theory and gain hands-on engineering experience. For example, fully equipped production and training lines supported by Nextomation help bridge the gap between academic learning and real-world engineering.

Students who can program robots, configure control systems, and interact with real automation equipment enter the workforce with a fundamentally different mindset. This model does not solve the talent shortage overnight, but it raises the baseline competence across the industry.

Over time, this kind of collaboration becomes a strategic advantage. It shortens onboarding, accelerates learning, and helps build a workforce that can support advanced manufacturing. In that sense, education functions as infrastructure that strengthens competitiveness across entire regions, not just individual companies.

What “NEXT” Really Means

Across all three parts of this series, one message stands out:the future of automation will not be defined by individual technologies, but by how intelligently they are applied.

Long-term competitiveness will belong to organizations that:

• invest incrementally but with clear strategic intent,
• simplify processes before automating them,
• design systems for change rather than for fixed assumptions,
• and treat automation as a long-term capability, not a one-off expense.

In this sense, “NEXT” is not a destination. It is a mindset that keeps manufacturing systems relevant, resilient, and competitive in an industrial landscape that continues to evolve.

Let’s define what’s NEXT for your competitiveness

Global competition, labor shortages, and market volatility are changing how production systems must be designed. We help manufacturers turn these pressures into clear, structured automation roadmaps that strengthen long-term competitiveness.

Start a conversation about what’s next for your production and how automation can become a resilient advantage.

Continue the “What’s Next for Automation?” series:

In part I, we explain why automation starts before the RFQ and how early planning shapes long-term results.

In part II, we look at why automation ROI must pay back faster than ever and what this means for investment decisions in volatile markets.