TSMC reported record monthly revenue for August 2026 of $16.35 billion, representing a 53.3% increase compared to the same period last year and a 10.1% rise from July. Electronics Weekly reported that this performance contributes to a total revenue of $107 billion for the first eight months of 2026, which is up 39.3% year-over-year. The company also disclosed a 77% jump in profit for the second quarter and provided a third-quarter revenue forecast between $44.6 billion and $45.8 billion. For storage readers, these figures confirm that the compute side of the AI stack remains the primary growth engine, potentially outpacing memory demand in the near term.
TSMC’s 72.5% foundry share in Q2
The revenue surge aligns with TSMC’s dominant position in the foundry market, where the company held a 72.5% share in the second quarter. This market leadership is supported by the company’s role as a primary supplier for high-performance computing and AI accelerators. The strong financial results suggest that the current cycle of AI infrastructure investment continues to drive significant volume growth for leading-edge logic fabrication, creating a demand environment where memory suppliers must compete for integration slots with next-generation AI chips.
CoWoS capacity doubling to 260,000 wpm
Background reporting indicates that TSMC’s advanced packaging capabilities are a critical bottleneck in the AI supply chain. Reports suggest the company may double its CoWoS capacity by 2028 to address shortages that have caused demand to spill over to rivals like UMC and Amkor. Specifically, analysts claim TSMC plans to expand its CoWoS capacity to 260,000 wafers per month by the end of 2028, up from 130,000 wafers per month at the end of 2026. This expansion will focus on production facilities at its Arizona campus and the AP7 facility in Taiwan.
Packaging bottlenecks and OpenAI-Samsung R&D
The packaging constraints have direct implications for memory suppliers like SK hynix and Samsung, who may face increased competition for packaging slots or need to accelerate their own advanced packaging capabilities to remain competitive in the AI accelerator market. TSMC’s leverage in the supply chain, underscored by its 72.5% foundry share, may influence pricing and allocation strategies for memory vendors seeking to integrate with next-generation AI chips. This dynamic is particularly relevant as OpenAI deepens its cooperation with Samsung for next-generation chip R&D, potentially expanding Samsung’s role from HBM supply to wafer fabrication and advanced packaging (TechNews).
A14 and A16 processes at OIP Forum
TSMC is preparing to showcase its next-generation technologies, including A14 and A16 processes, at its upcoming Open Innovation Platform Ecosystem Forum in September 2026. The forum, themed “Expanding AI with Leadership Ecosystem,” will examine how advances in silicon processes, chip packaging, and AI are changing the way complex integrated circuits are built. Presentations will cover design flows and methodologies supporting TSMC’s N2, A16, and A14 processes, with particular attention to energy efficiency and advanced chip architectures.
Compute demand outpacing memory growth
The intense demand for leading-edge logic nodes driven by AI workloads highlights the interconnectedness of the semiconductor supply chain. For buyers of NAND, SSD, DRAM, and HBM, this signals that the compute side of the AI stack remains the primary growth engine. However, the reported capacity constraints in advanced packaging suggest that memory suppliers may need to accelerate their own advanced packaging capabilities to remain competitive. The 72.5% foundry share underscores TSMC’s leverage in the supply chain, which may influence pricing and allocation strategies for memory vendors.