Amazon Web Services’ annual tech conference AWS re:Invent has wrapped up another day with a deluge of product news and keynotes — plus the obligatory customer success stories. The unsurprising theme is AI for the enterprise. This year it’s all about upgrades that give customers greater control to customize AI agents, including one that AWS claims can learn from you and then work independently for days. AWS re:Invent 2025, which runs through December 5, started with a keynote from AWS CEO Matt Garman, who leaned into the idea that AI agents can unlock the “true value” of AI. “AI assistants are starting to give way to AI agents that can perform tasks and automate on your behalf,” he said during the December 2 keynote. “This is where we’re starting to see material business returns from your AI investments.” On December 3, the conference pressed on with its AI agents messaging, as well as deeper dives into customer stories. Swami Sivasubramanian, vice president of Agentic AI at AWS, gave one of the keynote talks. To say he was bullish is perhaps understating the vibe. “We are living in times of great change,” Sivasubramanian said during the talk. “For the first time in history, we can describe what we want to accomplish in natural language, and agents generate the plan. They write the code, call the necessary tools, and execute the complete solution. Agents give you the freedom to build without limits, accelerating how quickly you can go from idea to impact in a big way.” While AI agent news promises to be a persistent presence throughout AWS re:Invent 2025, there were other announcements, too. Here is a roundup of the ones that got our attention. TechCrunch will update this article, with the newest insights at the top, through the end of AWS re:Invent. Be sure to check back. Doubling down on LLMs AWS announced more tools for enterprise customers to create their own models. Specifically, AWS said it is adding new capabilities for both Amazon Bedrock and Amazon SageMaker AI to make building custom LLMs easier. For instance, AWS is bringing serverless model customization to SageMaker, which allows developers to start building a model without needing to think about compute resources or infrastructure. The serverless model customization can be accessed through either a self-guided path or by prompting an AI agent.AWS also announced Reinforcement Fine Tuning in Bedrock, which allows developers to choose a preset workflow or reward system and have Bedrock run their customization process automatically from start to finish. Techcrunch event San Francisco | October 13-15, 2026 Amazon CEO Andy Jassy took to social media platform X to expound on AWS chief Matt Garman’s keynote speech. The message: The current generation of its Nvidia-competitor AI chip Trainium2 is already bringing in loads of cash. His comments were tied to the reveal of its next-generation chip, Trainium3, and meant to forecast a promising revenue future for the product. Database savings arrives Tucked among the dozens of announcements is one item that is already getting cheers: Discounts. Specifically, AWS said it was launching Database Savings Plans, which help customers reduce database costs by up to 35% when they commit to a consistent amount of usage ($/hour) over a one-year term. The company said the savings will automatically apply each hour to eligible usage across supported database services, and any additional usage beyond the commitment is billed at on-demand rates. Corey Quinn, chief cloud economist at Duckbill, summed it up well in his blog post, “Six years of complaining finally pays off.” Can’t get a better deal than free, Amazon hopes Is there any way for another AI coding tool to win the hearts of startup founders? Amazon hopes a year’s worth of credits, for free, will do the trick for its offering, Kiro. The company will be giving away credits to Kiro Pro+ to qualified startups that apply for the deal before the end of the month. However, only early-stage startups in certain countries are eligible. An AI training chip and Nvidia compatibility AWS introduced a new version of its AI training chip called Trainium3 along with an AI system called UltraServer that runs it. The TL;DR: This upgraded chip comes with some impressive specs, including a promise of up to 4x performance gains for both AI training and inference while lowering energy use by 40%. AWS also provided a teaser. The company already has Trainium4 in development, which will be able to work with Nvidia’s chips. Expanded AgentCore capabilities AWS announced new features in its AgentCore AI agent building platform. One feature of note is Policy in AgentCore, which gives developers the ability to more easily set boundaries for AI agents. AWS also announced that agents will now be able to log and remember things about their users. Plus it announced that it will help its customers evalu