AWS CEO Matt Garman declares AI agents will surpass the Internet as Amazon battles rivals

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AWS CEO Matt Garman positioned Amazon as a frontrunner in the AI race at re:Invent 2025, declaring that AI agents will be more transformative than the Internet or cloud computing. Amazon unveiled new Nova models, custom chips, and enterprise tools to compete with Microsoft and Google, despite rivals growing faster at 34-40% versus AWS's 20% growth.

AWS CEO Matt Garman Positions Amazon at the AI Frontier

Matt Garman is making bold claims about Amazon's position in the AI race. Speaking at AWS re:Invent 2025 in Las Vegas, the AWS CEO declared that AI agents will be more transformative than the Internet or cloud computing itself. "The world is not slowing down," Garman told attendees, emphasizing that AI represents one of the biggest opportunities to reshape every business and industry

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. He believes billions of agents will eventually operate inside every company, handling repetitive tasks and transforming workflows beyond simple content creation.

Source: TechRadar

Source: TechRadar

Amazon Unveils New Tools to Compete in the AI Race

AWS announced a suite of offerings designed to cement its cloud dominance in the AI era. The company introduced its Nova series of cost-efficient AI foundation models, autonomous agents for software development and cybersecurity tasks, and Forge, a new platform that enables enterprises to train AI models on their own data at lower costs

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. Through Bedrock, Amazon's platform for building AI apps, customers can access multiple AI foundation models from Anthropic, Meta, Mistral, and Cohere, alongside Amazon's own models

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. Garman emphasized that AWS delivers cost-effective AI services while maintaining the data controls, security layers, and reliability the platform is known for

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Source: Axios

Source: Axios

Custom Chips and Enterprise AI Strategy Take Center Stage

Amazon is betting heavily on custom chips to compete on cost and performance. Trainium and Inferentia, Amazon's proprietary processors, are designed to help AWS offer more affordable alternatives to Nvidia-based infrastructure

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. The company's $8 billion investment in Anthropic complements its in-house development of foundation models, massive data centers, and enterprise-focused tools

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. Garman told Axios that AWS is increasingly where customers deploy production workloads on AWS, citing the platform's combination of capabilities and cost effectiveness. "A year ago, there were questions about whether we'd missed the wave, but now, most people are building their production systems in AWS," he said

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AWS Faces Pressure as Microsoft and Google Grow Faster

Despite Garman's confident messaging, AWS confronts significant challenges. While Amazon remains the leader in cloud computing, Azure grew 40% last quarter and Google Cloud expanded 34%, compared to AWS's 20% growth

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. Microsoft and Google have attracted enterprise AI customers by tightly integrating with OpenAI and Gemini, respectively, giving them momentum with cutting-edge capabilities

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. AWS often remains absent from conversations about the latest AI breakthroughs, and Amazon lacks a flagship frontier model directly comparable to GPT-5 or Gemini 3 Pro

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. Microsoft's OpenAI partnership and early Copilot momentum have made Azure the default AI cloud for many CIOs

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Why This Shift Matters for Enterprise AI Adoption

Garman argues that the industry has reached an inflection point. "Two years ago, people were building AI applications. Now, people are building applications that have AI in them," he explained, suggesting AI is becoming embedded as a feature rather than a standalone experiment

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. This transition from experimentation to production deployment plays to AWS's strengths in enterprise systems, security policies, and compliance requirements

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. Customer success stories from Adobe and Sony showcased at re:Invent demonstrate the range of potential advantages

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. Garman pointed to AWS's stronger-than-expected third-quarter results as evidence his strategy is working, though the company must still prove it can compete at scale with custom chips and convince customers to move away from Nvidia

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