ASML Expands EUV Capacity Amid Qualcomm Edge Push

ASML Holding is preparing for a significant expansion in manufacturing output, planning to increase its Low-NA EUV capacity by approximately 30% for 2027. This move follows strong customer commitments driven by the surge in artificial intelligence infrastructure, where demand for advanced logic and memory chips is accelerating. The company is also evaluating a similar 30% capacity increase for 2028, signaling high visibility into multi-year fabrication plans.

Qualcomm is concurrently shifting its strategic focus from a mobile-centric model to a broader connected processor provider. The company is integrating on-device generative AI across its Snapdragon lineup, extending into Windows laptops and desktops. This expansion aims to capture growth in edge networking, automotive telematics, and industrial connectivity, diversifying revenue streams beyond traditional smartphone sales.

ASML Capacity Expansion Tied to AI Demand

The lithography equipment manufacturer is scaling production to meet the rising requirement for smaller, faster, and energy-efficient chips essential for AI training and inference. ASML plans to raise its 2026 baseline of roughly 65 Low-NA EUV systems by 30% for 2027. Parallel expansion is occurring for immersion DUV technology, with capacity set to rise from approximately 130 systems in 2026 to a 30% higher level in 2027.

Management attributes this demand primarily to AI-related investments, resulting in unusually long order visibility. However, this growth profile creates a dependency on customers maintaining their expansion timelines. A slowdown in customer investment could lead to underutilization of the new production footprint, posing operational risks if the aggressive capacity buildout outpaces actual chip fabrication needs.

Qualcomm Diversifies Into Automotive and PC Markets

Qualcomm is leveraging its intellectual property portfolio to transition into the intelligent edge sector. The company is seeing healthy traction in edge networking, which supports connectivity in cars, smart factories, and next-generation PCs. Its automotive solutions, including digital cockpit and C-V2X technologies, are becoming a significant revenue driver as vehicles become more connected and autonomous.

By integrating generative AI into all product lines, Qualcomm aims to secure long-term revenue targets through diversified applications. The expansion of the Snapdragon X lineup into Windows devices represents a strategic move to capture the PC market. This broadening of scope reduces reliance on the mobile cycle and positions the firm to benefit from the growing need for high-performance, low-power chip designs in varied industrial and consumer contexts.

Comparative Risk and Revenue Visibility

ASML’s business model is tightly coupled to the capital expenditure cycles of its chipmaker clients. The 30% capacity increases for 2027 and 2028 indicate strong near-term visibility but introduce execution risk if the AI infrastructure boom moderates. The company’s financial performance is directly linked to the pace at which semiconductor manufacturers deploy new fabrication capacity for advanced nodes.

Qualcomm faces a different risk profile, centered on market adoption of its new platform segments. While mobile revenue remains a core pillar, the success of its automotive and PC initiatives depends on winning design wins in competitive sectors. The company’s comprehensive IP portfolio in 4G and 5G provides a steady foundation, but the shift to a connected processor company requires sustained innovation in edge AI and connectivity solutions to maintain growth momentum.

Both companies are benefiting from the structural shift toward advanced computing, but their exposure differs. ASML supplies the essential tools for chip creation, making it a direct beneficiary of fab expansion. Qualcomm designs the chips that utilize those tools, focusing on end-market applications. According to GN stocks/chips, the distinction lies in whether investors prefer the certainty of equipment demand driven by AI buildout or the diversification potential of Qualcomm’s expanding processor portfolio.