TSMC's first-quarter 2026 earnings call delivered the expected headline numbers — $35.9 billion in revenue, a 66.2% gross margin, and full-year revenue growth guidance raised to above 30% in US dollar terms. The financial story was strong and largely anticipated.
The 2026 International Symposium on VLSI Technology, Systems and Applications (VLSI TSA) kicked off on April 14, gathering over 800 semiconductor professionals worldwide. The conference focused on next-generation core areas including GenAI inference acceleration, wafer-level computing, and terahertz wireless communication, while also delving into quantum computer system architectures and extending the reach of semiconductors to AI-driven cardiac analysis and other smart healthcare applications.
Samsung Electronics has initiated a workforce restructuring through a voluntary retirement program as strong semiconductor earnings contrast with weaker profitability in its device business, according to Korean media reports.
Elon Musk is reportedly accelerating plans to build a vertically integrated AI chip complex, reaching out across the semiconductor supply chain in what could become one of the most ambitious attempts to reshape AI infrastructure.
The surge in AI data center demand is rapidly accelerating the need for high-speed data transmission, prompting LED manufacturers to target opportunities in optical communications. best-Epitaxy Manufacturing's (bEMC) CEO Evan Wu said the company has focused on data transmission since its inception and recently began proof-of-concept (POC) testing with a leading cloud service provider (CSP). Their short-distance Micro LED transmission currently reaches speeds of 4Gbps, aiming to achieve 8Gbps per chip in 2026.
Suzhou C*Core Technology announced on April 15 that its next-generation automotive microcontroller unit (MCU), the CCRC4XXX series, has completed internal testing, marking a milestone in its push into high-end automotive semiconductors.
Memory module maker Apacer Technology reported its consolidated financial results for the first quarter of 2026, with revenue reaching NT$7.04 billion (approx. US$223 million), gross profit NT$3.47 billion, operating profit NT$2.31 billion, net profit NT$1.86 billion, and earnings per share (EPS) of NT$14.54. Revenue, gross profit, operating profit, and net profit all hit record highs for the quarter. Compared with EPS of NT$6.7 for the full-year 2025, Apacer's first-quarter earnings alone have already exceeded last year's total.
Google is in talks with the US Department of Defense that would allow the Pentagon to use the company's Gemini AI models for classified purposes, according to The Information. If the deal comes to fruition, it could represent a deepening of ties between Google and the Pentagon, which is seeking AI partners after its falling out with Anthropic in recent months.
In an era where AI systems are rapidly scaling beyond the limits of traditional silicon, new experimental companies are beginning to question what "compute" itself should look like. One of the most unusual entrants is The Biological Computing Company (TBC), which proposes a hybrid model integrating living neurons with modern machine learning systems to enhance performance, efficiency, and adaptability. The idea sits at the intersection of neuroscience and computing.
The surge in AI-grade high-speed computing is pushing printed circuit board manufacturing toward thicker, higher-layer designs, creating a strategic, global shortage of advanced coated PCB drills and raising costs and supply risks for hardware makers and cloud providers, potentially constraining the deployment of server and network equipment over the next two years.
Openchip's growth and product roadmap could reshape AI computing supply chains and deployment costs globally, offering lower-power alternatives and CPU-independent modules that could ease constraints for data centers, research institutions, and defense contractors. The developments signal potential new suppliers for countries pursuing sovereign AI capabilities.
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