Is the SaaS industry doomed by agentic AI? AWS CEO Matt Garman says the "SaaSpocalypse" fears are overblown. Instead of replacing software, Garman believes AI will remake it—and AWS is leading the charge by revamping Amazon Quick into an always-on, productivity-boosting desktop assistant.

Are your AI initiatives stuck in pilot purgatory? Former AWS database co-founder Matt Domo explains that enterprise AI projects usually fail because companies focus solely on the tech instead of adapting their people and workflows.

Meta has signed a multibillion-dollar deal to adopt hundreds of thousands of AWS Graviton5 chips. Designed to run complex agentic AI workloads using 60% less energy, the massive CPU deployment is part of Mark Zuckerberg's aggressive AI push—which the company is funding alongside a 10% global workforce reduction.

Amazon is pouring another $5 billion into Anthropic, while the AI startup has pledged a staggering $100 billion to AWS over the next decade. The reciprocal mega-deal secures up to 5 gigawatts of custom Trainium chip capacity for Anthropic, helping the rapidly growing Claude developer meet unprecedented consumer demand while cementing Amazon's dominance in the cloud AI war.

Bank of America Securities has raised its price target for Amazon to $298, citing accelerated growth in AWS and online retail. Driven by a massive expected boost from Anthropic-related AI revenues and faster retail delivery speeds, analysts remain bullish that Amazon will rapidly monetize its historic $200 billion infrastructure investments.

Is the AI boom just a bubble? Amazon CEO Andy Jassy says absolutely not. In his latest shareholder letter, Jassy shares "six truths" about the unprecedented rise of artificial intelligence, revealing that AWS's AI revenue run rate has already topped $15 billion in early 2026. From custom silicon success to a massive $200 billion capital expenditure plan, discover why Amazon is aggressively going all-in on the AI revolution.

In a race to meet massive AI computing demands, AWS has launched "Project Houdini"—a new initiative aimed at shifting data center construction into controlled factory environments. By preassembling server rooms into massive, ready-to-deploy modules, Amazon hopes to slash build times from 15 weeks down to just three, eliminating tens of thousands of on-site labor hours in the process.

As agentic AI continues to automate routine programming, AWS VP Marc Brooker warns that the days of staying strictly behind the scenes are over. For software engineers to thrive in the future, they must move beyond "pure" coding to cultivate robust customer-facing skills, systems-level expertise, and strong product judgment.

Uber is the latest major tech company to adopt Amazon's custom silicon. By integrating AWS Graviton4 and Trainium3 chips into its core infrastructure, Uber aims to accelerate real-time ride matching, enhance AI predictions, and reduce computing costs—scoring a major strategic win for Amazon's growing hardware business.

Is investing billions in rival AI giants a conflict of interest? Not according to AWS. CEO Matt Garman explains why backing both Anthropic and OpenAI is a deliberate, customer-focused strategy designed to give enterprises the ultimate choice and flexibility for their cloud AI deployments.