Amazon just dropped its biggest AI bet yet at re:Invent 2025, unveiling autonomous agents that can code independently for days and a new Trainium3 chip promising 4x performance gains. The Las Vegas conference reveals Amazon's strategy to dominate enterprise AI by giving customers unprecedented control over their AI infrastructure, from custom model building to data sovereignty solutions.
Amazon Web Services is betting big that autonomous AI agents will finally unlock the "true value" of artificial intelligence for enterprise customers. At the company's flagship re:Invent conference in Las Vegas, AWS CEO Matt Garman doubled down on this vision, announcing a suite of AI agents that can work independently for days and new chip architectures that promise to shake up the AI training market.
The headliner is Kiro autonomous agent, one of three new "Frontier agents" that AWS claims can learn how development teams work and then operate largely unsupervised for hours or even days. "AI assistants are starting to give way to AI agents that can perform tasks and automate on your behalf," Garman told the packed keynote audience. "This is where we're starting to see material business returns from your AI investments."
The timing couldn't be more strategic. While competitors like Microsoft and Google focus on AI assistants that require constant human oversight, Amazon is positioning itself as the platform for truly autonomous enterprise AI. The other two Frontier agents handle security processes like code reviews and DevOps tasks such as incident prevention during code deployments.
But it's the hardware announcements that reveal Amazon's long-term play against Nvidia. The new Trainium3 chip promises up to 4x performance gains for both AI training and inference while slashing energy consumption by 40%. More intriguingly, Amazon CEO Andy Jassy revealed on X that the current Trainium2 generation is already generating "multi-billion dollar" revenue, suggesting Amazon's chip strategy is gaining real traction with enterprise customers.
The company also teased Trainium4, which will be compatible with Nvidia chips - a clear signal that Amazon wants to give customers flexibility while building its own silicon empire. This dual approach through AI Factories, developed in partnership with Nvidia, allows enterprises and governments to run AWS AI systems in their own data centers using either Nvidia GPUs or Amazon's Trainium3 chips.
