Two semiconductor powerhouses are poised to deliver earnings that could reverse months of tech stock weakness. Taiwan Semiconductor Manufacturing Company (TSMC) reported record-high first-quarter 2026 revenue, surging 35.1% year-over-year, while ASML Holding and TSMC are set to release quarterly results on April 15 and 16 that analysts believe could reignite investor confidence in artificial intelligence (AI) stocks .

The Nasdaq Composite has declined 8% from its October 2025 peak, briefly entering correction territory in late March before recovering. However, the underlying demand for AI chips remains robust, and the upcoming earnings announcements from these two semiconductor bellwethers could provide the catalyst needed to end the recent downturn .

Why Are TSMC and ASML So Critical to the AI Boom?

TSMC and ASML occupy irreplaceable positions in the global semiconductor supply chain. TSMC operates the world's largest chip fabrication plants, holding a commanding 72% market share in the foundry business, according to Counterpoint Research . The company manufactures advanced processors designed by fabless chip designers like NVIDIA and Broadcom, which lack their own manufacturing facilities. ASML, meanwhile, is the sole manufacturer of extreme ultraviolet (EUV) lithography machines capable of printing the advanced chips required for AI workloads .

Without either company, the semiconductor supply chain would face severe disruption. This makes them the ultimate "pick-and-shovel" plays in the AI infrastructure buildout, similar to companies that supplied equipment during historical resource booms.

What's Driving Explosive Demand for Semiconductor Manufacturing?

Global spending on AI infrastructure is accelerating dramatically. According to projections, AI infrastructure spending could grow from $334 billion in 2025 to $902 billion by 2029 . Approximately 60% of this investment flows toward chips and computing hardware for data centers, creating sustained demand for TSMC's manufacturing capacity .

TSMC has already demonstrated strong momentum in 2026. The company's revenue increased 37% year-over-year in January, followed by a 22% jump in February . This performance reflects surging orders from major customers. NVIDIA recently doubled its revenue projections for Blackwell and Vera Rubin AI chip systems to $1 trillion across 2026 and 2027, up from an earlier $500 billion forecast . Broadcom is forecasting a fivefold increase in AI chip revenue over just two fiscal years .

TSMC's own guidance already anticipated a 30% revenue increase for 2026, but these accelerating customer projections suggest the company could exceed that estimate significantly .

How Is ASML Benefiting From the AI Infrastructure Boom?

ASML's EUV lithography machines are essential for manufacturing advanced chips at the cutting edge of AI hardware. TSMC relies on these machines to produce its most advanced processors, and memory manufacturers like SK Hynix and Micron Technology are also investing heavily in EUV equipment .

SK Hynix recently announced plans to purchase $8 billion worth of EUV machines from ASML to address supply gaps in the memory market . Analysts are estimating a 15% increase in ASML's 2026 revenue and a 20% increase in earnings, though the company's guidance could exceed these projections when it reports results next week .

Steps to Understanding the Semiconductor Supply Chain Impact

• Foundry Dominance: TSMC controls 72% of the global foundry market, meaning the vast majority of advanced AI chips are manufactured at its facilities, making it a critical chokepoint in the supply chain.
• Equipment Dependency: ASML is the only company capable of producing EUV lithography machines, which are required to manufacture chips at the most advanced process nodes needed for AI applications.
• Customer Acceleration: Major chip designers like NVIDIA and Broadcom are dramatically increasing their revenue forecasts for AI chips, which directly translates to higher orders for TSMC's manufacturing capacity.
• Capacity Expansion: TSMC's 2-nanometer process orders are fully booked through 2028, and the company is expanding sub-3-nanometer capacity in the United States and Japan while also increasing advanced packaging capacity.

What Could These Earnings Announcements Mean for the Broader Market?

The semiconductor industry is experiencing a structural shift driven by AI infrastructure buildout. McKinsey projects the global semiconductor market will grow to between $1.5 trillion and $1.8 trillion by 2030, up from $775 billion in 2025 . This expansion is not a temporary spike but reflects sustained investment in AI computing infrastructure across cloud providers, governments, and enterprises.

Recent geopolitical developments have added another layer of complexity. U.S. Representatives proposed the Multilateral Coordination in Technology Control Act (MATCH Act) in April 2026, aimed at further restricting China's semiconductor manufacturing capabilities . While this may create short-term challenges, analysts note it has strengthened the logic of domestic substitution, potentially benefiting TSMC's U.S. and Japanese expansion efforts .

The semiconductor ETF landscape reflects this optimism. The Samsung Bloomberg Global Semiconductor ETF (ticker 03132.HK), which tracks the Bloomberg Global Semiconductor Top 20 Index and holds positions in Broadcom, TSMC, NVIDIA, ASML, AMD, and Samsung Electronics, surged 143.01% over the past year . The ETF rose 0.64% intraday as of mid-April 2026, demonstrating continued investor confidence in the sector .

Anthropic's recent announcement provides additional confirmation of the AI infrastructure acceleration. The company signed agreements with Google and Broadcom to secure next-generation TPU (Tensor Processing Unit) computing power at the gigawatt level, with supply expected to exceed 3.5 gigawatts in 2027 . This represents a massive commitment to computing infrastructure and validates the demand thesis underlying TSMC and ASML's growth trajectories.

When TSMC and ASML report earnings next week, investors will be watching for confirmation that the AI infrastructure buildout is proceeding faster and at greater scale than previously anticipated. Strong results and forward guidance from these two companies could provide the confidence boost needed to reverse the recent Nasdaq weakness and reignite the broader technology sector rally.