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Google's $5B AI Cloud Deal with Blackstone Fails to Impress Wall Street

Alphabet shares dropped 2.3% as Google's $5B AI cloud venture with Blackstone and new Gemini models failed to meet Wall Street's high expectations.

Sarah Chen · · · 3 min read · 13 views
Google's $5B AI Cloud Deal with Blackstone Fails to Impress Wall Street
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BLK $1,036.30 -4.57% GOOG $381.96 -0.76% GOOGL $384.84 -0.73% NVDA $224.47 +1.75%

Alphabet Inc. (GOOGL) shares declined 2.3% on Tuesday, closing at $387.66, as investors reacted cautiously to a series of announcements from Google's annual I/O developer conference. The stock, which hit an intraday high of $401.71 earlier in the session, gave back gains as the market weighed the implications of Google's aggressive push into artificial intelligence infrastructure.

The centerpiece of the announcements was a $5 billion equity commitment from Blackstone to fund a new U.S. venture with Google that will provide data center space and access to Google's custom tensor processing units (TPUs) as a compute-as-a-service offering. This partnership is designed to allow customers to rent AI computing power rather than purchasing hardware, with the first 500 megawatts of capacity targeted for 2027.

AI Model Updates and Pricing Changes

Google introduced Gemini 3.5 Flash, a faster and more cost-effective AI model optimized for coding and automation tasks. However, the more powerful Gemini 3.5 Pro model remains in internal testing and is expected to launch next month. The delay drew audible groans from some I/O attendees, according to Business Insider, after CEO Sundar Pichai asked for patience until the Pro model's release.

The company also revised its subscription pricing, lowering the top-tier AI Ultra plan from $250 to $200 per month, and introduced a new $100-per-month plan targeting developers and heavy users. Additionally, Google unveiled Gemini Spark, a 24-hour AI agent designed to work across its product ecosystem, which will be available to trusted testers this week and to U.S. AI Ultra beta users next week.

Market Context and Analyst Reactions

Bank of America analyst Justin Post noted ahead of the conference that the bar was high for Alphabet and that "AI surprises" would be necessary for further multiple expansion. Analysts have flagged several risks, including potential migration of search traffic to rival AI services, delayed large language model integration into Search, regulatory pressures in the European Union, and rising capital expenditures for chips and data centers.

Alphabet's recent quarterly results showed revenue growth of 22% to $109.9 billion, with Google Cloud revenue surging 63% to $20.0 billion, underscoring the company's strengthening position in AI infrastructure. The company, once viewed as lagging in AI, is now considered a core AI play, driven by its in-house chip development and cloud growth.

During the I/O keynote, Pichai emphasized that AI-powered features in Search are driving increased user engagement, stating, "When people use our AI-powered features in search, they use search more." However, the market's response suggests that investors are looking for more concrete evidence of sustained growth and competitive advantage.

Competitive Landscape

Google's TPU push directly challenges Nvidia's dominance in AI computing and positions Alphabet against OpenAI and Anthropic for enterprise AI workloads. AI and supply-chain consultant Brittain Ladd described the Blackstone-backed venture as "a high-quality bet on sustainable growth in AI infrastructure," according to Reuters.

Despite the strategic moves, Alphabet's shares reflected a market that wants more than new features and partnerships. The company is telling investors that its search business will withstand AI competition, while also promoting its own chips, cloud services, and reach as the foundation for larger AI sales. Tuesday's trading showed that Wall Street remains skeptical, awaiting stronger evidence of returns from these substantial investments.

This article is for informational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Market data may be delayed. Always conduct your own research and consult a licensed financial advisor before making investment decisions.

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