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Alphabet Stock (GOOGL) Gains on Anthropic Cloud Talks

Asktraders News Team trader
Updated 22 Oct 2025

Alphabet Inc. (GOOGL) experienced a shift in sentiment after hours following reports of advanced discussions between Anthropic PBC and Google regarding a potentially massive cloud computing deal. The proposed agreement could see Google providing the artificial intelligence company with computing power valued in the high tens of billions of dollars.

The news spurred a 1.95% increase in Alphabet's stock during overnight trading, effectively reversing a significant portion of the 2.37% pullback seen on Tuesday. This price action reflects the market's anticipation of the potential benefits for Alphabet, linked to providing extensive cloud services to Anthropic.


Anthropic's ambitious revenue projections are further fueling optimism. The AI startup aims to more than double, and potentially nearly triple, its annualized revenue run rate in the coming year. The company is reportedly on track to meet its internal goal of achieving a $9 billion annual revenue run rate by the end of 2025, driven by rapid adoption of its enterprise AI products. This growth trajectory underscores the potential value of a long-term, large-scale cloud computing partnership with Google.

Adding to the positive narrative, Anthropic recently unveiled Haiku 4.5, a cost-effective AI model designed to broaden AI accessibility. Priced significantly lower than its other models, Haiku 4.5 offers comparable or superior performance in key areas like coding, making it an attractive option for businesses seeking budget-friendly AI solutions. The introduction of this model could expand Anthropic's customer base, further increasing its demand for cloud computing resources – a demand Google is positioned to meet.

The existing partnership between Anthropic and Google Cloud serves as a foundation for this potential expansion. Anthropic has already selected Google Cloud as its primary cloud provider, leveraging Google's advanced GPU and TPU clusters for AI system training, scaling, and deployment. This established relationship suggests a smooth path towards deeper collaboration and larger-scale deals.

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