Rosenblatt flags Amazon’s AI advantage as cloud growth narrative shifts toward “catch-up”

Amazon’s cloud ambitions are again being measured against Microsoft and Google, but a fresh Wall Street framing argues the debate may be missing the bigger picture: the company’s artificial intelligence position, according to a research note cited by Yahoo Finance.

The Yahoo Finance report points to a note by Rosenblatt analyst Scott Devitt, dated August 19, arguing that Amazon’s leading role in AI remains underappreciated by the market. The post raises a specific question for investors and customers watching cloud infrastructure performance: whether Amazon is finally catching up to Azure and Google Cloud after a period where it was perceived as lagging on growth.

Microsoft’s Azure and Google Cloud have both benefited from long-running competition dynamics in enterprise cloud computing, where customers evaluate reliability, breadth of managed services, and the ability to deploy AI workloads efficiently. In that context, comparisons across providers often focus on growth rates and the speed with which each platform converts demand into revenue.

The Rosenblatt framing highlighted in the Yahoo Finance piece appears to push the conversation away from growth-only comparisons, and toward the impact of AI capabilities on cloud demand. Put simply, if AI tooling and model availability drive new workloads, cloud growth could strengthen even if near-term metrics do not yet dominate the conversation.

Amazon Web Services, or AWS, has long been viewed as a key infrastructure supplier for machine learning and large-scale data processing. The Yahoo Finance report’s emphasis on AI suggests the analyst believes AWS’s strategic advantage will feed back into consumption, including training and inference activity that typically requires significant cloud compute.

For Microsoft, the competitive backdrop is well known: Azure is positioned as a centerpiece of Microsoft’s broader enterprise stack, including security, data, developer tools, and AI services integrated across productivity and business software. That broader ecosystem can help Microsoft turn enterprise relationships into cloud spend, even as rivals compete on individual services and pricing.

What the cited report does not provide, however, are concrete figures, such as specific quarter-by-quarter growth rates for AWS versus Azure and Google Cloud, or any detailed targets tied to the “catch-up” thesis. The Yahoo Finance post also does not appear to disclose detailed methodology for how Devitt reaches conclusions about relative growth versus AI-driven demand, beyond summarizing the core argument.

Still, the story indicates how cloud competition may be evolving. Investors may be increasingly willing to underwrite delayed “catch-up” if they believe AI leadership will accelerate customer migrations and new workload creation. The market will likely watch for management commentary and further analyst updates that translate AI advantage into measurable cloud usage trends.