Factories across Europe and Asia are benefiting from rising demand for AI infrastructure, semiconductors, electronics and other technology-related equipment.

The global AI boom is beginning to show up far beyond data centers and software companies.

Manufacturing activity across parts of Europe and Asia strengthened in September as demand connected to artificial intelligence helped boost orders for semiconductors, electronics, capital equipment and other industrial products, according to recent manufacturing surveys reported by Reuters.

The development could mark an important shift in the economic impact of AI.

For the past several years, artificial intelligence has largely been discussed as a software and technology story. But building AI infrastructure requires enormous physical supply chains—and those supply chains are increasingly benefiting manufacturers.

AI needs factories

Every new AI data center requires thousands of physical components.

That includes advanced processors, servers, networking equipment, cooling systems, power equipment, storage systems and semiconductor manufacturing equipment.

The result is an increasingly direct connection between AI investment and industrial production.

The Eurozone manufacturing PMI reached 52.9 in September, its highest level since May 2022. Strong demand for AI-related capital goods was an important factor behind the improvement, particularly in Germany and the Netherlands.

Asia has also benefited.

South Korea recorded its fastest export growth in more than 15 years, while Taiwan’s manufacturing PMI reached 56.7 amid strong semiconductor and AI-related demand. India also recorded its fastest manufacturing growth in seven months.

Manufacturing is becoming an AI infrastructure business

The relationship works in both directions.

AI needs manufacturing, but manufacturing is also becoming more dependent on AI.

Factories are using machine learning for predictive maintenance, computer vision for quality inspection, robotics for material handling and optimization software for production planning.

A 2026 roadmap published by the U.S. National Institute of Standards and Technology highlights industrial AI applications including advanced sensing, autonomous systems, robotics, digital twins, additive manufacturing, supply-chain optimization and sustainable manufacturing.

This means the next stage of industrial digitization may look very different from earlier automation programs.

Instead of simply automating repetitive movements, manufacturers are increasingly attempting to make production systems capable of interpreting data and adapting to changing conditions.

The smart factory opportunity

Consider a modern manufacturing line.

Sensors continuously monitor temperature, vibration, pressure and machine performance. AI models analyze that information to identify unusual patterns. A predictive-maintenance system can then warn operators that a machine may fail before the failure actually occurs.

Computer-vision systems can inspect products as they move through production.

Robots can adjust their behavior based on changing conditions.

Digital twins can simulate production changes before manufacturers make physical modifications.

These technologies can reduce downtime, improve quality and potentially increase production efficiency.

Research published in the International Journal of Advanced Manufacturing Technology also identifies predictive maintenance as an important Industry 4.0 application, particularly for anticipating equipment failures and improving asset availability.

The industrial AI race

The growing connection between AI and manufacturing creates a major opportunity for industrial technology companies.

The next generation of AI leaders may not only be companies building chatbots. It could also include companies developing systems that control robots, optimize factories, monitor machines and manage industrial supply chains.

For manufacturers, the question is increasingly shifting from “Should we use AI?” to “Where can AI create measurable operational value?”

That could make industrial AI one of the most important technology markets of the next decade.

For Geminy: Industry → Industrial AI / Manufacturing