Infrastructure Spending

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Microsoft's Kevin Scott on AI's Rapid Ascent: A Race Between Capability and Application

In a candid discussion, Microsoft CTO Kevin Scott reflects on the breakneck pace of AI advancement, highlighting a growing 'capabilities overhang' where real-world applications struggle to keep up. He points to software development and looming demographic shifts as critical arenas for AI's impact, while cautioning against superficial use and infrastructure bottlenecks.

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Google AI Chief Touts Gemini 3 Breakthroughs, Envisions Orbital Data Centers to Power Future Growth

At a recent industry conference, Google's AI infrastructure lead detailed the rapid ascent of the Gemini model family and outlined the monumental infrastructure challenges ahead. In a wide-ranging discussion, he positioned specialized hardware, cross-stack collaboration, and even speculative space-based computing as critical to sustaining the AI boom, while cautioning that efficiency gains alone won't keep pace with exploding demand.

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Super Micro Computer's Valuation Puzzle: AI Boom Darling or Overheated Stock?

Super Micro Computer (SMCI), a key beneficiary of the AI infrastructure rush, presents a conundrum for investors. While its long-term returns are stellar, recent share price volatility and conflicting valuation signals—from DCF models screaming overvaluation to peer comparisons suggesting undervaluation—have left the market divided on its true worth.

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KKR, Singtel Consortium Seizes Full Control of STT GDC in Landmark $5.2 Billion Deal

A consortium led by KKR and Singapore Telecommunications has agreed to acquire the remaining 82% stake in ST Telemedia Global Data Centres for S$6.6 billion, taking full ownership of one of Asia's largest data centre platforms. The deal, valuing STT GDC at S$13.8 billion, marks Southeast Asia's largest-ever data centre transaction and underscores the fierce competition for digital infrastructure assets.

Business

Beyond the Hype: AWS Exec Details the Hard Road to Production-Ready AI at Cisco Summit

At the Cisco AI Summit, an AWS executive outlined the critical gaps between AI experimentation and enterprise deployment, emphasizing the need for clear metrics, robust security for agentic workflows, and infrastructure built for an 'AI-first' future. The discussion also covered scaling challenges, sovereign cloud concerns in Europe, and the transformative potential—and current limits—of AI-assisted coding.