Snowflake is betting big on Amazon's custom silicon. Sending its stock soaring in extended trading, the data cloud giant beat Q1 earnings expectations and unveiled a massive $6 billion, five-year commitment to AWS. The expanded partnership focuses heavily on leveraging Amazon's Graviton chips to power Snowflake's next-generation agentic AI tools.

Are autonomous AI agents safe for mission-critical enterprise use? According to new AWS research, many are currently "flying blind." To address the industry-wide lack of safety testing standards, Amazon has unveiled a new secure sandbox framework to rigorously benchmark agent decision-making before deployment.

Pinterest has expanded its long-standing relationship with Amazon Web Services by signing a sweeping $4 billion AI infrastructure agreement. The multi-year deal will heavily leverage AWS's custom Trainium and Inferentia chips to power Pinterest's next-generation generative AI features, enhance personalized visual recommendations, and scale its rapidly growing targeted advertising capabilities. Read the original article on About Amazon here

Amazon is seizing a "once-in-a-lifetime" opportunity by spending a jaw-dropping $200 billion on AI infrastructure in 2026 alone. Backed by secured future cash flows and accelerating AWS revenue growth, the company is rapidly expanding its computing capacity to solidify its position as the ultimate destination for building and running AI models.

Is AWS losing its grip on the cloud market? Q1 2026 earnings show that while Amazon remains the scale leader, Microsoft Azure is growing faster in percentage terms. Discover why Amazon's Bedrock AI platform and custom Trainium silicon are now critical to defending its top spot.

Amazon is doubling down on the future with a staggering $200 billion spending plan for 2026. Driven by aggressive investments in its newly rebranded Amazon Leo satellite network and booming AWS artificial intelligence infrastructure, the tech giant is positioning itself to dominate both the cloud and the stars—prompting analysts to reiterate a strong "Buy" rating.

Connecting AI agents to AWS just got significantly safer and more capable. AWS's managed Model Context Protocol (MCP) server has reached General Availability, giving developers an IAM-governed, fully auditable way to grant AI agents secure access to AWS APIs, up-to-date documentation, and sandboxed script execution.

Will AI trigger a wave of mass unemployment? AWS CEO Matt Garman doesn't think so. Pushing back against industry doomsayers, Garman argues that while routine tasks will be automated, AI will ultimately create massive value, demand for higher-level systems engineering, and entirely new categories of work.

After leading AI strategy at PwC for nearly two years, Matt Wood is heading back to AWS. In his newly created role as Chief AI and Technology Officer, Wood will work directly with enterprise customers to help them realize the full value of AWS's rapidly expanding artificial intelligence ecosystem.

In what security experts are calling a textbook example of poor security hygiene, a CISA contractor left highly privileged AWS GovCloud keys and internal passwords exposed on a public GitHub repository. Shockingly, the administrator explicitly bypassed GitHub's automated secret detection tools, leaving the sensitive government data completely unprotected.