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AWS chief claims 7x partner revenue multiplier in AI era

Matt Wood, AWS’s chief AI and technology officer, argues that Amazon Web Services offers the strongest value proposition for channel partners in the AI era compared to Microsoft and Google. In an interview with CRN, Wood highlighted AWS’s broadest set of AI capabilities and its unique combination of AI systems with verification and formal reasoning. He stated that partners can earn a 7x…

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Key points

  • AWS partners earn a 7x multiplier on AWS spend, or $7 for every $1 charged.
  • Intuitive.ai reported over 60 percent growth in its AWS business in 2026.
  • AWS Q2 2026 revenue reached $42.2 billion, up 37 percent year over year.

Jay Modh, CEO of Intuitive.ai, an AWS Premier partner, corroborated these claims, noting that his company’s AWS business grew more than 60 percent in 2026. Modh credited AWS’s partner ecosystem and support model for this growth, describing the collaboration as unlike any other cloud provider. He emphasized that AWS’s early enterprise adoption and massive data holdings give it a significant advantage in the AI race, similar to Tesla’s data edge in automotive.

Financially, AWS reported $42.2 billion in revenue for Q2 2026, a 37 percent year-over-year increase. This marks the unit’s highest growth rate in 18 quarters, bringing its annual run rate to $169 billion. Wood and Modh both attribute this momentum to AWS’s infrastructure investments and partnerships with AI firms like Anthropic.

Full story from crn.com · by Mark Haranas · via Search: MicrosoftOpen source ↗

AWS AI Chief: Why AWS Bests Microsoft And Google For Channel Partners In AI Era

crn.com · 22 September 2026

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This text was published by crn.com and written by Mark Haranas. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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AWSMicrosoftGoogleIntuitive.aiAnthropicOpenAIMatt WoodJay Modh

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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