AWS CEO Matt Garman Is Driving Amazon’s Massive AI Infrastructure Push

In humid northwest Louisiana, construction workers will soon begin preparing for one of the largest digital infrastructure projects in the US On Feb. 23, Amazon announced plans to invest $12 billion to build a network of data center campuses in Caddo and Bossier Parishes—the foundation of its growing AI computing backbone. The project is expected to create 540 jobs and 1,700 indirect jobs, according to government officials.

Amazon is also strengthening its presence in Northern Virginia. Earlier this month, Amazon Data Services bought George Washington University’s Ashburn campus for $427 million. The company plans to convert the former research site, located in Loudoun County into a “data center,” into an advanced facility to handle high-performance computing and AI workloads.

Driving this infrastructure expansion is Matt Garman, a junior engineer who became CEO of Amazon Web Services (AWS) in March 2023. AWS powers the Internet by providing computing, storage and AI tools that companies around the world need.

A computer science graduate of the University of Victoria, Garman joined Amazon in 2005 as a software engineer and helped design its pioneering EC2 and S3 cloud platforms—services that defined early cloud computing. Over the next two decades, he rose to become vice president of computer services in 2019, head of global sales and marketing in 2020, and finally CEO of AWS at the age of 42. He succeeded Andy Jassy, ​​who created AWS and later became the CEO of Amazon in 2021, as the cloud business exceeded 90 billion dollars in revenue in 2021.

“Matt has exceptionally strong skills and experience in his new role,” Jassy said in a company blog post announcing Garman’s hiring. “He knows our customers and business as well as anyone in the world, and he has senior leadership experience on both the product and demand side of manufacturing.”

In the tech world, Garman is known as a stable operator, more focused on customers than a showman. His measured approach runs counter to the industry’s AI hype. “We’re incredibly excited about the growth of the company,” he told CNBC in February. “AI goes beyond content creation to get the job done,” he said, explaining the shift to systems that can “process insurance claims” or handle other complex business functions.

He also dismissed alarmist reports about AI replacing human activities. In a podcast with Matthew Berman, Garman dismissed the idea that companies should replace young developers with AI as “one of the dumbest things I’ve ever heard,” arguing that entry-level developers are often the best at using new AI tools.

Under Garman, AWS is investing heavily in custom hardware to make AI training and deployment efficient and affordable. The company recently introduced fifth-generation Graviton processors and third-generation Trainium chips, designed to accelerate large machine learning workloads. Its AI platform, Amazon Bedrock, gives businesses access to multiple foundational models from providers such as Anthropic, Meta, Mistral AI, and Stability AI.

Unlike Microsoft or Google, who promote their flagship AI models, Amazon positions AWS as a neutral platform and marketplace where businesses can choose between competing AI systems. The strategy aligns with Jassy’s 2024 shareholder letter, which lists Amazon’s long-term AI investments in chips and data centers as key to powering the next era of computing. “Generative AI will revolutionize almost every customer experience we know,” writes Jassy, ​​”and provide entirely new capabilities.”

But the competition is fierce. Microsoft has moved forward with a partnership with OpenAI, while Google is rapidly integrating its Gemini models into tools such as Vertex AI.

Amazon, too, has made its own high-profile bets. By the end of 2025, it invested 8 billion dollars in Anthropic, which now uses AWS as its main cloud provider and trains its models on Amazon’s Trainium chips. AWS also signed a multi-year infrastructure agreement with OpenAI to run parts of its operations on Amazon’s cloud.

Behind these moves is one clear truth: the AI ​​race is increasingly being fought against infrastructure. Building and operating large data centers—complete with power systems, cooling networks, and fiber links—has become a major bottleneck for the tech industry’s AI ambitions.

Amazon’s Louisiana project shows both the magnitude of the opportunity and the challenge. Data centers require large capacity as well water resources, raising concerns from environmental groups about their impact. The Caddo Lake Institute, a local organization, said it is reviewing how the proposed Amazon campuses could affect the region. water system.

Amazon has promised to reduce the impact by relying mainly on air cooling outside of use water only during extreme heat. The company also plans to invest up to $400 million in the area water infrastructure development to support nearby communities.

For Garman, these extensions represent the practical foundation of Amazon’s long-term AI strategy. As cloud providers double as powerhouses of smart software, it’s a bet that companies with the most scalable and efficient infrastructure will define the future of computing.