AI Giants Race for Computing Power: Google's 40B Anthropic Deal Reshapes Industry

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AI Giants Race for Computing Power: Google's 40B Anthropic Deal Reshapes Industry

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概要

In the past 48 hours ending April 27, 2026, the AI industry surges with massive investments and product launches amid supply chain strains. Google committed up to 40 billion dollars to Anthropic, including 10 billion upfront at a 350 billion dollar valuation, to expand compute capacity with 5 gigawatts of power, following Amazons additional 25 billion dollar pledge and deepening the Big Three alliances: Microsoft-OpenAI, Amazon-Anthropic, Google-partners.[1][2] This eclipses prior weeks funding rounds, like Metas expanded 27 billion dollar Nebius deal for AI infrastructure, signaling capital concentration in compute.[6]

OpenAI launched GPT-5.5 on April 23, boasting 82.7 percent on Terminal-Bench 2.0 coding versus GPT-5.4s 75.1 percent, 60 percent fewer hallucinations, and Workspace Agents for offline multi-step tasks, clashing directly with Googles agentic AI stack and TPU 8 chips announced at Cloud Next, claiming 3x faster training.[1][2] DeepSeek countered with open-source V4 models on April 24: V4-Pro at 1.6 trillion parameters and V4-Flash at 284 billion using MoE architecture.[1]

Partnerships accelerate: TCS and Siemens Energy signed MoUs on April 27 for AI-led energy transformation and HyperVault data centers; Apple deepens Google Gemini ties for Siri in iOS 27.[1][2][4] Pentagon deployed 103,000 Gemini AI agents with 1.1 million sessions by mid-April.[1]

Disruptions hit: US-Israel-Iran tensions delay chip export licenses for months, hiking prices and bottlenecking supply, worse than recent Intel-Terafab shifts.[5] Leaders respond with infrastructure bets—Googles 15 billion dollar Vizag AI hub over 2026-2030, Merck up to 1 billion with Google Cloud—versus last weeks pilot-focused scaling risks, where 83 percent of leaders predict data limits in two years.[1][3]

No major consumer shifts or price drops noted, but agentic AI pivots from chatbots to enterprise employees, intensifying compute wars over prior model races.[2] (298 words)

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