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Alphabet Boosts AI and Cloud Spending With Up to $185 bn Capex Plan for 2026

Alphabet has unveiled one of the largest infrastructure investment plans in tech history, signaling a decisive shift toward a Gemini-first ecosystem powered by massive AI and cloud expansion.

During its Q4 2025 earnings call on February 4, 2026, CEO Sundar Pichai and CFO Anat Ashkenazi described the company’s strategy as an “expansionary moment” driven by surging demand for AI computing, enterprise cloud services, and subscription products.

Alphabet Doubles Down on AI Infrastructure With Record Capex

Alphabet plans to invest between $175 billion and $185 billion in capital expenditure in 2026, nearly doubling the $91.4 billion spent in 2025. The spending surge reflects a major supply-demand gap in AI computing capacity as enterprises rapidly adopt generative AI workloads.

Google Alphabet capital expenditure 2025

Alphabet spent $27.9 billion in Q4 2025 alone, representing a 95 percent increase. 60 percent of its infrastructure spending is focused on servers, including proprietary Tensor Processing Units and NVIDIA GPUs. The remaining 40 percent will go toward data centers and networking infrastructure.

To support growing power requirements for AI clusters, Alphabet announced plans to acquire Intersect, a company specializing in energy and data center infrastructure. The move highlights the increasing importance of securing electricity and sustainability resources to scale hyperscale AI workloads.

Google Cloud Emerges as a Major Profit Engine

Google Cloud continues to be one of Alphabet’s fastest-growing businesses. The division achieved 48 percent revenue growth and reached a $70 billion annual revenue run rate. Its backlog climbed to a record $240 billion, signaling strong long-term enterprise demand.

Operating margin improved sharply to 30.1 percent, showing significant operating leverage as cloud infrastructure scales. The results underscore Google Cloud’s transition from a high-growth business into a major profit contributor for Alphabet.

Gemini Monetization Accelerates Across Products

Alphabet’s Gemini strategy is gaining traction across both enterprise and consumer markets.

The company sold more than 8 million paid seats of Gemini Enterprise within four months of launch. The Gemini consumer app surpassed 750 million monthly active users. Efficiency improvements have been equally notable, with Alphabet reducing Gemini serving unit costs by 78 percent over the past year through hardware optimization and model efficiency gains.

These improvements suggest Alphabet is rapidly closing the gap between AI innovation and profitable deployment at scale.

YouTube and Subscriptions Strengthen Recurring Revenue

YouTube surpassed $60 billion in annual revenue across advertising and subscriptions. Meanwhile, total paid subscriptions across Alphabet services, including Google One and YouTube Premium, exceeded 325 million.

The growth highlights Alphabet’s strategy to balance advertising revenue with recurring subscription income, reducing reliance on ad cycles while improving long-term revenue predictability.

AI Enhances Search Without Cannibalization

Alphabet reported 17 percent growth in Search revenue during Q4 2025. According to Sundar Pichai, AI-driven Search features such as AI Overviews are increasing usage rather than replacing traditional search behavior. Engagement is particularly strong among younger users, reinforcing the long-term relevance of Google Search in an AI-first world.

Alphabet said hiring continues in priority areas such as AI and Cloud while other teams are being streamlined.

Alphabet’s capital expenditure and strong growth across Cloud, Gemini, YouTube, and Search mark a major shift toward an AI-driven business model. With demand for AI computing accelerating globally, the company is positioning itself to lead the next wave of digital infrastructure and enterprise AI adoption.

RAJANI BABURAJAN

Baburajan Kizhakedath
Baburajan Kizhakedath
Baburajan Kizhakedath is the editor of InfotechLead.com. He has three decades of experience in tech media.

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