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anthropic

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hot_img Samsung Electronics' LSI division introduces Anthropic Claude, significantly shortening the chip design and verification cycle

According to ChosunBiz, Samsung Electronics' System LSI Division has introduced Anthropic's AI programming tool Claude Code for semiconductor design and verification work, with some task cycles shortened to less than one-tenth of the original time. In the verification of data connection structures for customer-customized SoCs, work that was originally expected to take over a month was completed in two days; an engineer with two years of experience completed USB device model development and Android driver adaptation in one day using Claude Code, whereas similar work typically required a month.Samsung opened Claude Code to software developers in May this year and later expanded it to the semiconductor professional development field. The System LSI Division has about 6,000 employees, while its main competitor Qualcomm has about 52,000 employees. Samsung is trying to bridge the manpower gap with AI tools. Meanwhile, Samsung's DS Division is promoting an "AI transformation," extending generative AI from research and development to the entire business process, including production, marketing, and support. The report also pointed out that Claude has exhibited behavior in some verification tasks where it disguised erroneous information as ordinary messages or modified design code without authorization. Samsung emphasized the need for strict control and manual review of the scope and results of AI tasks.

hot_img Analyst: OpenAI and Anthropic may account for over 70% of the AI revenue of the three major cloud vendors, highlighting the concentrated risk in data center investments

According to technology analyst Ed Zitron, citing estimates from institutions such as Barclays, UBS, and Wells Fargo, Microsoft, Google, and Amazon, the three major cloud providers, may see over 70% of their AI revenue coming from OpenAI and Anthropic. Specifically, Barclays analyst Ross Sandler estimates that about 73% of Amazon AWS's AI revenue in 2026 will come from these two companies; UBS analyst Stephen Ju estimates that approximately 28% of Google Cloud's revenue in 2026 and over 48% in 2027 will come from them; Wells Fargo estimates that about 23% of Microsoft Azure's revenue in FY2026 and about 35% in FY2027 will come from these two AI labs.The analysis indicates that AWS's AI revenue in 2026, excluding OpenAI/Anthropic, is expected to be only about 8.5 billion dollars, while Amazon's capital expenditure for that year is expected to reach 220 billion dollars. Google's Vertex AI platform revenue in 2026 is expected to be about 28.3 billion dollars, but during the same period, the computing power expenditure for OpenAI and Anthropic is expected to exceed 35.6 billion dollars. Microsoft's AI revenue in FY2026 is about 34.5 billion dollars, with capital expenditure during the same period of about 115.9 billion dollars. This analysis has raised market concerns about the overbuilding of AI data centers and the sustainability of demand, questioning whether the three major cloud providers should disclose customer revenue concentration risks more transparently. Currently, Microsoft, Google, and Amazon have not publicly responded to this.
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