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For the AWS earnings report scheduled for October 26, 2023, Zacks consensus cited by CRN called for $23.19 billion in sales, or about 13% year-over-year growth. That would have suggested AWS growth was leveling off after falling from 27% in Q3 2022 to 12% in Q2 2023—not returning to its earlier pace. The other open issues were whether generative-AI products were producing measurable revenue and whether Amazon executives would address the company’s reported Microsoft 365 commitment.
What the October 2023 preview was asking
This was a pre-release outlook for Amazon Web Services’ third quarter of 2023, not a current forecast. The central test was whether the cloud unit’s decelerating growth had reached a floor. Investors were also looking for evidence that AWS’s generative-AI launches were becoming a business, rather than a series of announcements, and for comments on Amazon’s reported decision to spend heavily on Microsoft software despite competing with Microsoft in cloud infrastructure.
Expected AWS sales: possible stabilization, not a return to peak growth
Zacks Investment Research’s consensus estimate, as reported by CRN, put AWS Q3 2023 revenue at $23.19 billion, approximately 13% above the same quarter a year earlier. The estimate can be seen against the preceding four quarters:
| Quarter | AWS sales | Year-over-year growth |
|---|---|---|
| Q3 2022 | $20.5 billion | 27% |
| Q4 2022 | $21.4 billion | 20% |
| Q1 2023 | $21.4 billion | 16% |
| Q2 2023 | $22.1 billion | 12% |
| Q3 2023 consensus | $23.19 billion | About 13% |
A 13% result would therefore have been important mainly because it might have broken the sequence of slowing rates. It still would have represented less than half the 27% growth recorded in Q3 2022. The estimate was an expectation before results, not reported revenue.
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AWS’s position against Microsoft and Google
Synergy Research Group’s Q2 2023 global cloud-infrastructure-services figures, cited by CRN, placed AWS first with about 32% share. Microsoft held roughly 22% and Google Cloud 11%.
| Provider | Q2 2023 infrastructure-services share | Relevant earnings figure in the preview |
|---|---|---|
| AWS | About 32% | Q3 2023 consensus: $23.19 billion, about 13% growth |
| Microsoft | About 22% | Intelligent Cloud calendar Q2 2023 sales: $24.3 billion, up 19% |
| Google Cloud | About 11% | Q3 2023 revenue: $8.4 billion, up 22% |
These figures are not perfectly like-for-like. AWS reports its cloud segment separately. Microsoft does not disclose standalone Azure revenue; its Intelligent Cloud figure combines Azure with server products and other cloud services. Google’s figure is its reported Google Cloud segment. The shares measure cloud infrastructure services, while the revenue lines use each company’s own reporting definitions and periods.
Which generative-AI products could affect the results?
AWS had been emphasizing products that address different parts of the AI stack. The earnings question was whether customer adoption would become visible in sales, margins or retention.
Trainium and Inferentia
Trainium is AWS’s purpose-built hardware for training machine-learning models, while Inferentia targets inference, the stage in which trained models generate results. Wider use could increase demand for AWS compute and give Amazon more control over infrastructure costs, but product announcements alone would not show how much revenue or profit the chips generated.
Amazon Bedrock
Bedrock is positioned as a managed service for customizing large language models and building generative-AI applications and agents. Its commercial significance depends on recurring customer workloads, not simply the number of models or integrations available.
CodeWhisperer
CodeWhisperer provides AI-assisted coding. Adoption could support broader AWS usage if developers who use the coding assistant deploy their applications on AWS, although the preview did not establish a separate revenue figure for the service.
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What management’s language needed to clarify
- Whether named customer wins had moved from pilots into production workloads.
- Whether AI demand was large enough to change AWS’s revenue growth or operating-margin trajectory.
- Whether Trainium and Inferentia were reducing customers’ cost of running models while remaining attractive to AWS economically.
- Whether Bedrock and CodeWhisperer were increasing the likelihood that customers would keep more of their application stack on AWS.
“AWS has continued to add to its meaningful leadership position in the cloud with a slew of generative AI releases that make it much easier and more cost-effective for companies to train and run models (Trainium and Inferentia chips), customize Large Language Models to build generative AI applications and agents (Bedrock), and write code much more efficiently with CodeWhisperer.”
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Why the reported Microsoft 365 commitment mattered
CRN reported that Amazon had committed more than $1 billion over five years for more than one million Microsoft 365 licenses for corporate and frontline employees. The report was notable because Microsoft is AWS’s largest cloud competitor, while Amazon also offers workplace products such as Chime and WorkDocs.
The arrangement would illustrate a practical distinction between competing with Microsoft in infrastructure and buying Microsoft’s productivity software for employees. The preview’s question was whether CEO Andy Jassy or other executives would explain the decision, its economics, or how it fits Amazon’s longer-term workplace-software strategy. The commitment was reported, rather than an AWS revenue disclosure.
Anthropic linked AWS’s cloud and AI strategies
Amazon had announced an investment of up to $4 billion in Anthropic. Anthropic committed to using AWS chips to build, train and deploy future foundation models and to work with Amazon on technology.
That made Anthropic both a strategic customer and a partner that could help validate AWS’s AI infrastructure. It also placed Amazon in a competitive network that included Microsoft-backed OpenAI and Google’s AI efforts. The investment size described the maximum announced commitment; it did not establish how quickly the money would be deployed or how much revenue the relationship would generate in Q3 2023.
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Questions investors needed the earnings call to answer
- Did AWS revenue exceed, meet or fall short of the $23.19 billion consensus estimate?
- Did year-over-year growth hold near 13%, confirming a pause in the slowdown, or continue to decline?
- Were generative-AI workloads producing material consumption of AWS compute and managed services?
- Did management provide any evidence that Trainium, Inferentia, Bedrock or CodeWhisperer were improving economics or customer retention?
- Would Amazon explain the reported Microsoft 365 purchase and its relationship to Chime and WorkDocs?
- How did Amazon describe Anthropic’s AWS-chip commitment and the timing of its up-to-$4 billion investment?
How to interpret the comparison
AWS’s separate segment revenue makes its $23.19 billion estimate relatively direct to read. Microsoft’s $24.3 billion Intelligent Cloud figure is broader than Azure, so treating it as Azure-only would overstate what Microsoft disclosed. Market-share percentages also describe a different measure from quarterly revenue: they indicate positions in global cloud infrastructure services, not each company’s total cloud sales.
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Likewise, a successful AI product launch would not automatically appear as a distinct line in Amazon’s income statement. The useful evidence would be sustained workload growth, customer production deployments, improved infrastructure utilization or management commentary connecting AI demand to AWS revenue and margins.
What this historical preview could establish
The expected 13% growth rate was a test for stabilization after four quarters of deceleration. The earnings release and call would be needed to determine whether that stabilization occurred and whether AWS’s AI strategy had begun translating into financial results. The Microsoft 365 report and Anthropic investment supplied context about Amazon’s strategic choices, but neither by itself measured AWS’s quarterly performance.
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