All the largest information from AWS’ large tech present re:Invent 2025 | TechCrunch

Amazon Web Services’ annual tech convention AWS re:Invent has wrapped. And the singular message, amid a deluge of product information and keynotes, was AI for the enterprise.

This yr it was all about upgrades that give clients higher management to customise AI brokers, together with one which AWS claims can study from you after which work independently for days. Amazon CTO Dr. Werner Vogels capped off the ultimate night time with a keynote aimed toward lifting up builders and assuaging any fears that AI is coming for engineering jobs.

AWS re:Invent 2025, which runs by way of December 5, began with a keynote from AWS CEO Matt Garman, who leaned into the concept AI brokers 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 stated throughout the December 2 keynote. “This is where we’re starting to see material business returns from your AI investments.”

On December 3, the convention pressed on with its AI brokers messaging, in addition to deeper dives into buyer tales. Swami Sivasubramanian, vp of Agentic AI at AWS, gave one of many keynote talks. To say he was bullish is maybe understating the vibe.

“We are living in times of great change,” Sivasubramanian stated throughout the speak. “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 information guarantees to be a persistent presence all through AWS re:Invent 2025, there have been different bulletins, too. Here is a roundup of those that received our consideration. TechCrunch will replace this text, with the latest insights on the high, by way of the top of AWS re:Invent. Be positive to verify again.

Werner out …

Amazon CTO Werner Vogels had the closing keynote of the convention — and it appears to be like like this shall be his final one.

“This is my final re:Invent keynote,” he stated, then shortly added he’s not leaving the corporate. “I’m not leaving Amazon or anything like that, but I think that after 14 re:Invents you guys are owed young, fresh, new voices.”

Vogels then spent greater than an hour speaking to a packed room earlier than ending with a “Werner, out” and a literal mic drop.

Will AI take your job?

Vogels spent a lot of the closing keynote speaking about AI and its function sooner or later, together with the looming menace that it’s going to take away jobs.

“Will AI take my job? Maybe,” Vogels requested and answered, earlier than noting that some duties shall be automated, and a few expertise will turn into out of date. “So maybe we should rephrase and reframe this question. Will AI make me obsolete? Absolutely not, if you evolve.”

Next-gen CPU

AWS unveiled its Graviton5 CPU on Thursday, the next-generation chip that the corporate guarantees shall be its highest performing, best but. The Graviton5 accommodates 192 processor cores, a dense and environment friendly design that AWS says reduces the space information should journey between cores. That helps reduce inter-core communication latency by as much as 33% whereas growing bandwidth, the corporate stated. 

Doubling down on LLMs

AWS introduced extra instruments for enterprise clients to create their very own fashions. Specifically, AWS stated it’s including new capabilities for each Amazon Bedrock and Amazon SageMaker AI to make constructing customized LLMs simpler.

For occasion, AWS is bringing serverless mannequin customization to SageMaker, which permits builders to begin constructing a mannequin with no need to consider compute assets or infrastructure. The serverless mannequin customization might be accessed by way of both a self-guided path or by prompting an AI agent.

AWS additionally introduced Reinforcement Fine Tuning in Bedrock, which permits builders to decide on a preset workflow or reward system and have Bedrock run their customization course of routinely from begin to end.

Andy Jassy shares some numbers

Amazon CEO Andy Jassy took to social media platform X to expound on AWS chief Matt Garman’s keynote speech. The message: The present technology of its Nvidia-competitor AI chip Trainium2 is already bringing in a great deal of money.

His feedback have been tied to the reveal of its next-generation chip, Trainium3, and meant to forecast a promising income future for the product.

Database financial savings arrives

Tucked among the many dozens of bulletins is one merchandise that’s already getting cheers: Discounts.

Specifically, AWS stated it was launching Database Savings Plans, which assist clients scale back database prices by as much as 35% after they decide to a constant quantity of utilization ($/hour) over a one-year time period. The firm stated the financial savings will routinely apply every hour to eligible utilization throughout supported database companies, and any extra utilization past the dedication is billed at on-demand charges.

Corey Quinn, chief cloud economist at Duckbill, summed it up properly in his weblog submit, “Six years of complaining finally pays off.”

Can’t get a greater deal than free, Amazon hopes

Is there any means for an additional AI coding device to win the hearts of startup founders? Amazon hopes a yr’s value of credit, free of charge, will do the trick for its providing, Kiro. The firm shall be making a gift of credit to Kiro Pro+ to certified startups that apply for the deal earlier than the top of the month. However, solely early-stage startups in sure nations are eligible.

An AI coaching chip and Nvidia compatibility

AWS launched a brand new model of its AI coaching chip known as Trainium3 together with an AI system known as UltraServer that runs it. The TL;DR: This upgraded chip comes with some spectacular specs, together with a promise of as much as 4x efficiency features for each AI coaching and inference whereas decreasing vitality use by 40%.

AWS additionally offered a teaser. The firm already has Trainium4 in improvement, which is able to be capable to work with Nvidia’s chips.

Expanded AgentCore capabilities

AWS introduced new options in its AgentCore AI agent constructing platform. One function of notice is Policy in AgentCore, which supplies builders the power to extra simply set boundaries for AI brokers.

AWS additionally introduced that brokers will now be capable to log and keep in mind issues about their customers. Plus it introduced that it’s going to assist its clients consider brokers by way of 13 prebuilt analysis methods.

A nonstop AI agent employee bee

AWS introduced three new AI brokers (there’s that time period once more) known as “Frontier agents,” together with one known as “Kiro autonomous agent” that writes code and is designed to learn the way a crew likes to work so it might probably function largely by itself for hours or days.

Another of those new brokers handles safety processes like code critiques, and the third does DevOps duties such as stopping incidents when pushing new code dwell. Preview variations of the brokers can be found now.

New Nova fashions and companies

AWS is rolling out 4 new AI fashions inside its Nova AI mannequin household — three of that are textual content producing and one that may create textual content and pictures.

The firm additionally introduced a brand new service known as Nova Forge that permits AWS cloud clients to entry pre-trained, mid-trained, or post-trained fashions that they will then high off by coaching on their very own proprietary information. AWS’s large pitch is flexibility and customization.

Lyft’s argument for AI brokers

The ride-hailing firm was amongst many AWS clients that piped up throughout the occasion to share their success tales and proof of how merchandise affected their enterprise. Lyft is utilizing Anthropic’s Claude mannequin through Amazon Bedrock to create an AI agent that handles driver and rider questions and points.

The firm stated this AI agent has lowered common decision time by 87%. Lyft additionally stated it has seen a 70% enhance in driver utilization of the AI agent this yr.

An AI Factory for the non-public information heart

Amazon additionally introduced “AI Factories” that permit large firms and governments to run AWS AI methods in their very own information facilities.

The system was designed in partnership with Nvidia and contains each Nvidia’s tech and AWS’s. While firms that use it might probably inventory it with Nvidia GPUs, they will additionally go for Amazon’s latest homegrown AI chip, the Trainium3. The system is Amazon’s means of addressing information sovereignty, or the necessity of governments and lots of firms to regulate their information and never share it, even to make use of AI.

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Check out the newest reveals on every little thing from agentic AI and cloud infrastructure to safety and way more from the flagship Amazon Web Services occasion in Las Vegas. This video is dropped at you in partnership with AWS.