AI infrastructure boom lifts Nokia, Besi and STMicro as hardware demand grows

Summary

AI is no longer just about software and cloud—it’s increasingly driving demand for real-world infrastructure.
Nokia, Besi and STMicroelectronics are seeing steady momentum as investment shifts toward networks, chip packaging and industrial semiconductors.

LONDON / AMSTERDAM / GENEVA, April 23, 2026 — Demand for AI infrastructure is gaining traction across the technology sector, with early signals from Nokia, BE Semiconductor Industries and STMicroelectronics pointing to growing investment in the hardware that powers artificial intelligence.

While AI’s rise has largely been associated with software and cloud platforms, recent developments suggest a broader shift. Companies operating in networking, semiconductor packaging and industrial chips are increasingly positioned to benefit as AI applications expand into real-world systems.

Nokia highlighted continued demand for high-capacity networking solutions, particularly in optical transport and next-generation mobile infrastructure. As enterprises and telecom operators handle rising volumes of data, the need for faster and more reliable connectivity is becoming more pronounced.

The company’s focus on 5G Advanced and early-stage 6G research reflects longer-term positioning, though current demand remains tied to ongoing network upgrades and operator spending cycles.

At the semiconductor level, BE Semiconductor Industries is benefiting from interest in advanced packaging technologies such as hybrid bonding. These techniques allow chips to be integrated more efficiently, improving performance for AI and high-performance computing workloads.

Industry observers say that as AI chips become more complex, the role of packaging and backend equipment is becoming increasingly important within the supply chain.

Meanwhile, STMicroelectronics continues to see demand from automotive and industrial customers. Its silicon carbide components are widely used in electric vehicles and power systems, areas linked to longer-term trends in electrification and automation.

However, analysts note that demand in these sectors can fluctuate with broader economic conditions and shifts in electric vehicle adoption.

Taken together, these developments reflect a gradual but noticeable shift in how investors and industry participants view AI. Beyond software innovation, attention is increasingly turning to the physical systems required to deploy AI at scale—from network infrastructure to semiconductor manufacturing and industrial electronics.

Why this matters

• AI growth is expanding beyond software into physical infrastructure
• Telecom, semiconductor equipment and industrial chipmakers are gaining strategic importance
• Hardware demand is becoming a key enabler of real-world AI deployment
• Sector growth remains tied to capital expenditure cycles and economic conditions

FAQs

Q1: Why is AI infrastructure important now?

As AI applications expand, they require faster networks, more advanced chips and efficient hardware systems to operate at scale.

Q2: What role does Nokia play in AI growth?

Nokia provides networking infrastructure that supports data-heavy applications, including those powered by AI.

Q3: Why is semiconductor packaging gaining attention?

Advanced packaging improves chip performance and efficiency, which is critical for handling complex AI workloads.

Q4: How is STMicroelectronics connected to AI?

Its chips are used in industrial and automotive systems, where AI is increasingly being integrated.