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Core Scientific urges shareholders to approve $9 billion CoreWeave merger

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Core Scientific’s board has called on shareholders to vote in favor of its proposed $9 billion all-stock sale to CoreWeave, saying the merger would deliver long-term growth and risk reduction benefits for the crypto miner.

In an investor presentation released Wednesday, the board said it had “unanimously determined” that the deal represented the best outcome for all shareholders. The merger, announced in July, values Core Scientific at $20.40 per share and would combine its energy-intensive mining infrastructure with CoreWeave’s AI-focused data center network.

The deal promises significant cost savings, operational synergies, and improved access to capital, according to the company. CoreWeave, a fast-growing cloud provider powered by Nvidia AI chips, would integrate Core Scientific’s facilities to support large-scale AI model training — an increasingly valuable use case as demand for compute power surges.

However, the proposal faces pushback from Two Seas Capital, Core Scientific’s largest shareholder with a 6.3% stake, which said it plans to vote against the deal, arguing it “materially undervalues” the company and poses “substantial economic risk” to investors.

Core Scientific said the transaction would help it diversify beyond cryptocurrency mining and strengthen its position in the fast-growing AI infrastructure market.

TSMC lifts revenue forecast on surging AI chip demand after record profit

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Taiwan Semiconductor Manufacturing Co. (TSMC), the world’s largest chipmaker, raised its full-year revenue forecast after reporting a record quarterly profit, citing booming demand for artificial intelligence chips. The results reinforced investor confidence in the AI megatrend, which continues to drive growth across the semiconductor industry despite fears of overheating.

TSMC said it now expects 2025 revenue to grow in the mid-30% range in U.S. dollar terms, up from its previous forecast of around 30%. The company maintained its capital expenditure outlook at up to $42 billion for 2025. “AI demand continues to be stronger than we expected three months ago,” CEO C.C. Wei told analysts, adding that customer requests for expanded capacity remain high.

The company’s robust performance comes amid a flurry of billion-dollar partnerships between AI developers and chipmakers, including OpenAI’s collaborations with Nvidia, AMD, and Broadcom to build massive data center capacity. TSMC manufactures chips for all three, as well as for Apple.

In the July–September quarter, TSMC’s net profit surged 39.1% year-on-year to T$452.3 billion ($14.76 billion), easily beating market expectations of T$417.7 billion. Wei said the company remains confident that demand for leading-edge semiconductors is “real” and will continue through 2026, despite geopolitical uncertainties and potential U.S. tariffs on chip imports.

TSMC shares have risen 38% this year, far outpacing Taiwan’s broader market, as the company cements its dominance in the global AI supply chain.

Meta partners with Arm to boost AI recommendations across Facebook and Instagram

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Meta Platforms announced a new partnership with chip technology firm Arm Holdings to power the AI systems behind its personalization and recommendation engines across Facebook and Instagram. The collaboration marks another milestone for Arm as it pushes deeper into data center and AI computing — areas long dominated by Intel and AMD’s x86 architecture.

Meta will deploy Arm-based data center platforms to run the ranking and recommendation algorithms that determine what users see on its apps. Both companies said the shift will deliver higher performance and improved energy efficiency compared to traditional x86 systems.

Arm, backed by Japan’s SoftBank, provides the chip designs that serve as blueprints for central processing units (CPUs) used in billions of devices worldwide. While its technology already dominates smartphones, it is rapidly expanding into server and personal computer markets.

As part of the announcement, Meta revealed a $1.5 billion investment in a new Texas data center, its 29th facility globally, to support AI infrastructure growth. The two companies also said they have optimized Meta’s AI software for Arm chips and made the improvements open source, allowing developers to freely use and build upon them — a move expected to speed up Arm’s adoption in cloud computing.

Meta and Arm plan to continue refining their joint open-source projects to make AI workloads more efficient and accessible across the industry.