Semiconductor News & Analysis Feed
957 articles
2026-06-12
www.investing.com
2026-06-12
Investing.com
www.investing.com
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2026-06-12
247wallst.com
2026-06-12
24/7 Wall St.
Marvell Technology (NASDAQ:MRVL | MRVL Price Prediction) and Micron Technology (NASDAQ:MU) both just delivered AI-fueled earnings reports, yet they sit on opposite sides of the data center stack.
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Marvell sells the custom silicon and optics that stitch AI clusters together. Micron sells the memory those clusters cannot run without. Their latest results show how AI spending is rewardin
2026-06-12
finance.yahoo.com
2026-06-12
Yahoo Finance
Marvell vs. Micron: One Stands to Gain More From AI Demand
Vandita Jadeja
Thu, June 11, 2026 at 10:26 AM PDT 4 min read
MU
+11.66%
MRVL
+11.13%
005930.KS
-1.16%
NVDA
+2.22%
000660.KS
+2.59%
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MRVL's custom silicon and optics drove 28% revenue growth while MU's HBM shortage pushed gross margins from 37% to 74% in one year.
Micron raised its d
2026-06-11
www.techinsights.com
2026-06-11
TechInsights
Wafer Demand Forecast – Q3 2025 Update
2 Min Read September 30, 2025
The semiconductor market is bifurcated, driven by AI growth in HBM, leading to an increase in DRAM's wafer allocation from 16% to nearly 21% by 2030.
The semiconductor market is increasingly bifurcated, with AI-related segments fueling robust growth while the rest of the industry faces headwinds from weaker end-m
2026-06-11
247wallst.com
2026-06-11
24/7 Wall St.
Wall Street may be turning on AI, as Oracle (NYSE:ORCL | ORCL Price Prediction) has lost a fifth of its value in just the past five days. This was a celebrated AI darling, whose CEO went on the podium next to President Donald Trump and OpenAI CEO Sam Altman a year ago.
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ORCL stock is now up just 2.3% from year-ago prices, and it may not be long until it’s in the red. That’s a major sh
2026-06-11
finance.yahoo.com
2026-06-11
Yahoo Finance
Oracle’s 20% Plunge Proves What Micron Knew All Along: AI Demand Is About to Collapse
Omor Ibne Ehsan
Thu, June 11, 2026 at 8:38 AM PDT 5 min read
MU
+11.66%
ORCL
-8.53%
NVDA
+2.22%
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Oracle stock has been plunging due to Wall Street souring on excessive spending
On the other hand, Micron is not leaning into the euphoria and is taking conser
2026-06-11
www.gurufocus.com
2026-06-11
GuruFocus
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2026-06-11
seekingalpha.com
2026-06-11
Seeking Alpha
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2026-06-11
www.digitimes.com
2026-06-11
digitimes
Market chatter about TSMC has intensified, with reports that its advanced process and packaging prices will rise again in the second half of 2026 and 2027, while some Google TPU production could shift to Intel, and some AMD products could be made by Samsung...
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2026-06-11
digitimes.com
2026-06-11
Concerns have emerged in recent weeks that the commercialization of co-packaged optics (CPO), a technology widely viewed as the future of AI networking, could face further delays as manufacturing yields remain inconsistent.
2026-06-11
digitimes.com
2026-06-11
Applied Materials said artificial intelligence (AI) is reshaping the global semiconductor industry and could drive years of heavy investment in chipmaking, packaging, and materials engineering. The shift matters far beyond one company, because AI demand is increasing worldwide and is expected to influence data centers, device costs, energy use, and the pace of technology development.
2026-06-11
digitimes.com
2026-06-11
Memory supply remains tight, and higher prices have made end markets cautious. Despite that, Apacer Technology CEO Chia-Kun Chang said that foundry shifts by the three major makers are irreversible, meaning DRAM and flash will stay in short supply, and the memory industry will continue to profit at least throughout the first half of 2027.
2026-06-11
digitimes.com
2026-06-11
Applied Materials is expanding manufacturing and research in Singapore as artificial intelligence (AI) drives a wider shift in semiconductor planning, supply chains, and investment. The move highlights how AI demand is influencing chipmakers, equipment suppliers, and global customers, with implications for production capacity, regional innovation hubs, and technology markets worldwide.
2026-06-11
digitimes.com
2026-06-11
AI infrastructure demand is lifting high-end PCB orders, but fresh bottlenecks are emerging in the upstream copper-clad laminate (CCL) supply chain. T-glass glass fiber cloth remains tight after disrupting the high-end ABF substrate market. HVLP4 copper foil is set to become the next constraint in the second half of 2026.
2026-06-11
digitimes.com
2026-06-11
As artificial intelligence (AI) fuels an unprecedented surge in demand for advanced semiconductors, Applied Materials is deepening its commitment to one of Asia's most important chipmaking hubs.
2026-06-11
digitimes.com
2026-06-11
Gudeng chairman and CEO Bill Chiu said global demand for AI is driving a wave of 2nm and 3nm advanced-node capacity expansion, but the biggest constraint for chipmakers is not building fabs — it is securing extreme ultraviolet lithography systems.
2026-06-11
digitimes.com
2026-06-11
Market chatter about TSMC has intensified, with reports that its advanced process and packaging prices will rise again in the second half of 2026 and 2027, while some Google TPU production could shift to Intel, and some AMD products could be made by Samsung Electronics. TSMC CFO Wendell Huang recently told the media that global inflation and overseas fab expansion have indeed pushed up operating c
2026-06-11
digitimes.com
2026-06-11
Astera Labs expects its Scorpio switch-chip business to become its largest revenue contributor by the end of 2026, marking a shift for the cloud AI connectivity chip supplier as demand grows for scale-up infrastructure in AI clusters.
2026-06-11
finance.yahoo.com
2026-06-11
Yahoo Finance
5-star analyst revisits Nvidia stock on peculiar GPU demand situation
Moz Farooque
Wed, June 10, 2026 at 9:37 AM PDT 4 min read
NVDA
-2.91%
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Nvidia (NVDA) has spent most of the AI boom dealing with "good" problems, chief among them that its most important chips remain very hard to get.
According to TheFly, Wedbush analyst Matt Bryson just revisited Nvid
2026-06-10
eetimes.com
2026-06-10
As AI models scale to trillions of parameters, conventional memory architectures face mounting capacity and efficiency constraints.