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news· 3 min read· via The Guardian AI

Amazon Reports Mixed Q3 Results as AWS Accelerates and AI Capital Outlays Surge

Amazon reported mixed third-quarter financial results, with cloud growth surging to 39.3% while overall revenue fell short of analyst estimates alongside rising AI investments.

Amazon Reports Mixed Q3 Results as AWS Accelerates and AI Capital Outlays Surge

Amazon presented a complex set of financial results for its third quarter ended September 30, showing impressive expansion in its cloud division alongside softer-than-expected overall revenue and net income. While the Seattle-based e-commerce and technology company continues to channel massive capital into artificial intelligence infrastructure, its core business performance led to a decline of over 6% in after-hours stock trading.

AWS growth shines amidst broader revenue misses

Amazon reported net income of $20.69 billion, or $1.89 per share, for the three-month period. This represents a drop from the $21.19 billion, or $1.95 per share, recorded in the same quarter last year. Overall sales climbed to $201.94 billion, up from $180.17 billion a year ago. Both metrics missed Wall Street targets compiled by FactSet, which had anticipated $1.97 per share on $202.2 billion in sales.

Despite missing broader sales targets, Amazon Web Services (AWS) delivered its fastest growth rate in nearly five years. Sales for the cloud computing unit rose 39.3% during the quarter, accelerating from a 37% expansion in the previous quarter.

Looking ahead to the fourth quarter, which includes the holiday shopping season, Amazon offered a conservative revenue forecast between $240 billion and $247 billion. This reflects projected year-over-year growth of 12% to 16%, compared to the $244.16 billion anticipated by market analysts. To handle the anticipated holiday demand, the company announced plans to hire 300,000 seasonal workers in the United States, up from 250,000 workers hired last year.

Massive AI infrastructure spending continues

Investors are keeping a close watch on Amazon's massive capital expenditure to see when AI investments will yields returns. CEO and President Andy Jassy disclosed that full-year capital spending is now expected to total $220 billion, with the bulk directed toward artificial intelligence, robotics, semiconductors, and satellites. This budget is up from a $200 billion outline shared in February and significantly higher than the $128 billion spent in the prior year.

Jassy pointed to the increasing price of memory chips as the primary driver behind the capital expenditure growth. He noted over the summer that even with $220 billion in spending, Amazon will still lack sufficient server capacity to meet total customer demand this year.

The high cost of scaling AI infrastructure is affecting tech firms across the sector. A day prior, Google parent Alphabet saw its stock plummet and lose half a trillion dollars in market value after reporting weaker summer growth and diminished free cashflow due to over $51 billion spent on property and equipment. These outlays reflect a broader industry race to build data centers and supply them with specialized AI hardware.

What it means for developers

For software engineers and engineering teams, Amazon's latest report highlights the structural supply constraints facing artificial intelligence compute. Even as cloud providers allocate hundreds of billions toward memory chips and data center infrastructure, demand continues to outpace available compute capacity.

As major cloud vendors adjust pricing and capacity limits to match their capital expenditures, developers seeking predictable and cost-effective access to models need flexible integration pathways. To streamline API usage across multiple provider ecosystems, developers can try top AI models cheaply through one API at https://apixoai.online, gaining direct access to Claude, GPT, Gemini, Grok, DeepSeek, and other leading systems.

Understanding these capital cycles helps technical leads plan long-term infrastructure architecture. As hardware costs rise, optimizing token usage and maintaining access across diverse model providers will remain an important strategy for developers building production-ready AI applications.


Source: Amazon gives Wall Street mixed financial picture in earnings report — The Guardian AI. Written by the Apixo team from that report.

#ai-news#amazon#aws#cloud#earnings#ai-infrastructure
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