ASML hikes sales forecast on strong AI chip demand

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ASML Raises Guidance Amid Surge in AI Chip Demand; TSMC Sales Jump 68%

ASML, the Dutch semiconductor equipment manufacturer, raised its full-year sales guidance for the second time this year, citing sustained demand for artificial intelligence (AI) chip production. The company now expects 2024 revenue between €43 billion and €45 billion, with a gross margin of 54% to 56%, up from prior projections of €36 billion to €40 billion in sales and a 51% to 53% margin. This follows a 68% year-over-year increase in June sales for TSMC, one of ASML’s largest clients, as global chipmakers expand capacity to meet AI-driven demand.

ASML’s Guidance Hike Tied to EUV Machine Demand

ASML’s revised forecast reflects strong uptake of its extreme ultraviolet (EUV) lithography tools, the only systems capable of producing the most advanced chips used in AI applications.

ASML’s Guidance Hike Tied to EUV Machine Demand

UBS analysts highlighted in a July 10 report that semiconductor fabrication expansion and AI-driven capital spending are set to bolster ASML’s second-half performance. However, semiconductor stocks have faced pressure amid investor skepticism about the sustainability of AI-related capital expenditures.

TSMC’s Expansion Signals Continued AI Investment

The company plans to build two advanced chip packaging facilities in southern Taiwan’s Chiayi Science Park, according to remarks by Taiwan’s National Science and Technology Council Minister Wu Cheng-wen. The expansion aims to meet growing needs for high-performance computing and AI infrastructure.

Export Controls and Market Uncertainty

Despite strong demand, ASML faces challenges from tightening export restrictions on advanced chipmaking equipment.

How ASML Makes Chips Faster With Its New $400 Million High NA Machine

Investors remain cautious.

What’s Next for the Semiconductor Industry?

ASML’s guidance update and TSMC’s expansion plans suggest the AI chip boom is far from over. However, the sector’s ability to sustain momentum will depend on several factors, including:

  • Continued investment in AI infrastructure by tech giants and startups
  • Resolution of geopolitical tensions affecting equipment exports
  • Macroeconomic stability and corporate spending on AI projects

As the industry navigates these challenges, stakeholders will be closely watching ASML’s quarterly results and TSMC’s capacity expansions for further signals of AI-driven growth.

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