Google Cloud Expects Over 50% Of Its $106 Billion Backlog To Convert To Revenue In The Next Two Years

News Summary
Google Cloud expects approximately 55% of its $106 billion backlog, or at least $58 billion, to convert into revenue over the next two years, according to Thomas Kurian, the head of the unit, at the Goldman Sachs Communacopia + Technology conference. This projection excludes any new contracts or clients. The cloud division’s annual revenue run rate has already surpassed $50 billion. Google Cloud reported a 28% quarter-over-quarter rise in new customers, including nine of the ten largest AI labs such as OpenAI and Anthropic. Despite accounting for only 14% of Alphabet’s revenue last quarter, Google Cloud remains one of its fastest-growing divisions, outpacing Microsoft Azure in recent quarters. Furthermore, Alphabet is preparing to enter blockchain finance with the commercial launch of Google Cloud Universal Ledger (GCUL) in 2026, a move that could rival Ripple Labs’ XRP Ledger. Google Cloud is also expanding partnerships to drive next-generation in-car experiences, strategic initiatives expected to further bolster its growth and revenue.
Background
Google Cloud is Alphabet's cloud computing division, competing globally with major rivals like Amazon Web Services (AWS) and Microsoft Azure. Historically a distant third in market share, it has demonstrated strong growth momentum in recent years, particularly in enterprise customers and AI-related services. Currently, the broader tech sector, including Alphabet, is under pressure from Wall Street to demonstrate tangible revenue and profit generation from significant investments in artificial intelligence. Cloud service providers are playing a pivotal role as the foundational infrastructure for AI development and deployment during this transformation. Alphabet, as a diversified tech giant, encompasses various businesses such as Search, YouTube, and Android. The sustained growth of its Google Cloud division is crucial for optimizing its overall revenue structure and enhancing future profitability.
In-Depth AI Insights
What deeper signals does Google Cloud's significant backlog conversion send about the broader AI infrastructure market beyond just Google's performance? - This indicates robust and sustained demand for cloud computing resources, particularly those optimized for AI workloads, suggesting a strong capital expenditure cycle for AI infrastructure is ongoing. - Google Cloud's ability to attract leading AI companies like OpenAI and Anthropic highlights a significant competitive edge in AI infrastructure and platform capabilities, such as its AI model training or data processing efficiency. - The rapid conversion of backlog, coupled with conservative estimates for new contracts, implies increasing enterprise reliance on cloud services for AI transformation and long-term commitments to infrastructure spending. What do Google Cloud's expansions into blockchain finance and in-car experiences signify for Alphabet's long-term strategy? - Diversification & Ecosystem Expansion: The Google Cloud Universal Ledger (GCUL) entry into blockchain finance is not merely an extension of cloud services but Alphabet's attempt to penetrate the core payment and tokenization aspects of Web3 and the digital economy, aiming to build a more comprehensive enterprise service ecosystem. - Emerging Growth Vectors: The expansion into in-car cloud experiences represents a proactive move to capture opportunities in the high-growth connected vehicle sector, deeply integrating Google's AI and cloud capabilities into the automotive ecosystem, creating new revenue streams and data value. - Defensive Strategy: These initiatives also serve as a defensive strategy, addressing potential slowdowns in traditional business growth and establishing competitive moats in emerging technological frontiers, ensuring Alphabet's leading position in future tech trends. How might Google Cloud's growth, outpacing Microsoft Azure, impact the competitive landscape of the cloud computing market? - Heightened Competition: Google Cloud's accelerated growth, especially its success in acquiring AI customers, will significantly intensify the