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Alphabet's heavy cloud spending drives bigger-than-expected cash burn

By · Published by Everything Blog

In short

The company's heavy infrastructure outlays resulted in negative free cash flow of $9.07 billion for the third quarter, missing analyst projections of a $36 million burn. However, Google Cloud revenue more than doubled to $30.71 billion, surpassing expectations due to strong artificial intelligence adoption across retail, cybersecurity, and financial services. To address industry-wide power and chip supply constraints, the firm integrated proprietary tensor processing units alongside third-party graphics processing units.

Key points

  • Massive capital spending on cloud and artificial intelligence infrastructure can cause se…: Massive capital spending on cloud and artificial intelligence infrastructure can cause severe short-term cash flow deficits.
  • Strong enterprise adoption of the Gemini model suite is driving multi-year infrastructure…: Strong enterprise adoption of the Gemini model suite is driving multi-year infrastructure contracts across several key industries.
  • Industry-wide artificial intelligence investments are projected to exceed $700 billion in…: Industry-wide artificial intelligence investments are projected to exceed $700 billion in 2026 across major technology rivals.

Sources checked by our analysis pipeline: 1

Oct 28 : Alphabet reported a higher cash burn on Wednesday than analysts expected as it spends heavily to boost capacity for its cloud business, sending its shares down more than 6 per cent in extended trading.

The company reported negative free cash flow of $9.07 billion, compared with analysts' estimate of a cash burn of $36 million, according to data compiled by LSEG.

Revenue at Google Cloud more than doubled to $30.71 billion in the third quarter ended September, compared with analysts' average estimate of a 95.1 per cent increase to $29.57 billion.

The third-largest cloud services provider globally, behind Amazon Web Services and Microsoft's Azure, has continued to expand enterprise commitments, supported by multi-year cloud and AI infrastructure deals across cybersecurity, retail and financial services.

The results underscore Alphabet's position as the primary beneficiary of surging enterprise AI spending, easing investor concerns that heavy capital expenditures on computing capacity might outpace near-term revenue gains.

Enterprise appetite for cloud-based AI training and inferencing has remained strong through the year, keeping data center utilization high and pushing major cloud providers to accelerate infrastructure deployment.

Alphabet, Microsoft, Amazon, and Meta are projected to collectively spend well over $700 billion in 2026 to expand AI data-center footprint, chips and high-performance networking capacity.

Google Cloud's outperformance comes as hyperscalers navigate varying degrees of capacity constraints, positioning Alphabet well to capture market share among enterprises migrating AI workloads to the cloud.

While industry-wide supply bottlenecks for advanced silicon and data-center power have persisted, Alphabet's investments in custom tensor processing units alongside third-party GPUs have helped expand its service delivery capabilities.

Alphabet's proprietary AI initiatives also provided a tailwind and adoption of its Gemini model suite broadened across enterprise software and developer platforms in the reported quarter.

The company's integration with Apple's ecosystem to power cloud-based AI capabilities has continued to support Alphabet's wider ecosystem reach.

Original source: www.channelnewsasia.com

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