Claude and Codex Go to War

· Source: There's An AI For That · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Digital Advertising Technology · Depth: Intermediate, extended

Summary

Alphabet reported a tremendous fourth quarter and full year 2025, with annual revenues exceeding $400 billion for the first time. Search revenues grew 17%, YouTube's annual revenues surpassed $60 billion, and Google Cloud significantly accelerated with 48% growth, reaching an annual run rate over $70 billion and a backlog of $240 billion. The Gemini app now boasts over 750 million monthly active users, with Gemini 3 driving increased engagement and processing over 10 billion tokens per minute via API. Alphabet anticipates 2026 CAPEX investments between $175-185 billion to meet AI demand, leveraging NVIDIA's Vera Rubin GPU platform and its own TPUs. The company also announced the acquisition of Intersect for data center solutions and a collaboration with Apple to develop next-generation foundation models based on Gemini technology.

Key takeaway

For CTOs and VPs of Engineering evaluating AI strategy and infrastructure investments, Alphabet's Q4 2025 results underscore the imperative of substantial, sustained investment in AI compute capacity and model development. Your teams should prioritize integrating advanced AI models like Gemini into core products and workflows to drive both user engagement and revenue growth, while also seeking operational efficiencies to fund these capital-intensive initiatives. Consider strategic partnerships for cloud and model development to accelerate innovation and market reach.

Key insights

Alphabet's Q4 2025 results highlight strong AI-driven growth across its core businesses and significant future investment.

Principles

Method

Alphabet focuses on full-stack AI progress, from unrivaled infrastructure (GPUs, TPUs) and world-class models (Gemini 3 Pro, Antigravity) to integrating AI into products like Search, Gmail, Chrome, and Android devices.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Investor, Business Analyst, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by There's An AI For That.