Search “AWS”

AWS Hydro Team: Using Compilers to Intercept Coding Errors Outside the Agent Trust Boundary

Shadaj Laddad, research lead for the AWS Hydro team, believes that code review can no longer keep up with the speed at which agents write code, and advocates placing correctness checks outside the agent trust boundary, enforced by the compiler—for example, the Rust borrow checker catches race conditions before runtime, while Hydro catches multiple classes of defects in distributed systems at compile time. The team is researching how to turn recurring design patterns such as idempotency into general-purpose guardrails, while acknowledging that compilers have limitations: AI-generated Rust code can compile successfully yet still be wrong. Hydro and the same team's open-source agent runtime Infinity are both jointly developed by AWS and UC Berkeley and hosted at hydro.run.

Who Is Really Eating the AI Dividend: Looking at Profit Distribution Through Tech Giants' Financial Reports

The article reviews the latest financial reports of tech giants such as Meta, Amazon, and Google, noting that AWS revenue grew 39% year-over-year, but the group's free cash flow over the past 12 months turned negative at -$42.4 billion, and Alphabet's stock price fell 12.64% in a single day. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, a year-over-year increase of 1300%; compute and infrastructure costs during the same period reached $8.945 billion, and it signed minimum purchase commitments totaling $269.4 billion with Google, Amazon, and Microsoft. In a McKinsey survey, 80% of respondents said AI improved work efficiency, but only 37% believed AI made a positive contribution to corporate EBIT.

Microsoft, Google, and Amazon Earnings Side by Side: The AI Infrastructure Race Reaches a Watershed

The latest earnings reports from the three cloud providers Microsoft, Google, and Amazon show cloud businesses accelerating across the board: AWS third-quarter revenue was $45.98 billion, up 39.3% year over year; Azure posted $33.165 billion for the quarter, up 48%; Google Cloud revenue was $30.71 billion, more than doubling year over year; and their backlogs reached $578 billion, $677 billion, and $561 billion, respectively. Over the same period, all three posted negative free cash flow: Amazon had a net outflow of $42.36 billion over the past 12 months, Alphabet was negative $9.07 billion, and Meta had a net outflow of $2.12 billion, while only Microsoft remained positive at $18.6 billion. Market reactions diverged; Alphabet fell 12.64% in a single day on slowing advertising growth and its swing to negative cash flow, and the article argues that the competitive bottleneck is shifting from chips to power, land, and grid-connection approvals.

Amazon CEO Jassy: AWS's AI business has an annualized revenue of over $25 billion, and $220 billion in capital expenditure for 2026 is still not enough

Amazon CEO Andy Jassy said on the a16z podcast that in the first three years of the generative AI wave, AWS's AI business has reached an annualized revenue run rate of over $25 billion, hundreds of times AWS's roughly $60 million in its early days. He said that under capital expenditure of about $220 billion for 2026, capacity for 2026 is already sold out, 2027 is essentially sold out, and a considerable portion of 2028 has also been sold, and that inference costs are still an order of magnitude too expensive, which is the main obstacle to widespread enterprise adoption of AI. He also mentioned that the Bedrock team rebuilt the inference engine with 6 engineers in 76 days, a task that previously required 40 people for a year.

Amazon CEO Jassy on $220 Billion in Capital Expenditure: Compute Is Still in Short Supply, Inference Costs Need to Fall by Another Order of Magnitude

Amazon CEO Andy Jassy said in an interview on the a16z podcast that the company's capital expenditure is expected to reach $220 billion in 2026, but compute capacity is already sold out for 2026, essentially fully booked for 2027, and a large share of 2028 quotas has been locked in. He described enterprise AI demand as dumbbell-shaped: a large number of production systems in the middle have yet to be deeply integrated because inference costs are too high, and costs need to fall by another order of magnitude before an explosion in adoption occurs. Jassy also noted that 99% of AWS's top 1,000 customers use Graviton, which offers about 40% better price-performance than x86, while Trainium has a 30% to 40% advantage over comparable hardware.

AI accelerates cyberattacks; Anthropic, OpenAI, Microsoft and others disclose defense and agent control developments

gihyo.jp reviews multiple releases and reports from late October, organizing AI-era defense challenges along two lines: vulnerability remediation implementation and permission management. Anthropic Deputy CISO Jason D. Clinton says that within about 18 months, high cyber capability will spread to small, cheap models, but fixes still need to be applied to running systems. The article cites OpenAI's discovery of Brotli's CVE-2026-111497 during testing in an isolated environment, and introduces remediation and credential control solutions such as AWS Continuum, Google Agent Compute Engine, and 1Password for Agents, as well as Microsoft's report on Storm-0940 using AI to automate attacks.

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Morgan Stanley says Nvidia will depend on AI infrastructure spending for 91.7% of its 2027 revenue

A report released by Morgan Stanley on October 15 estimates that 91.7% of Nvidia's 2027 revenue will come from AI infrastructure demand, the highest share among the companies it covers, above Vertiv's 90% and Broadcom's 81%. The report projects that hyperscale cloud providers and AI cloud service providers will spend $1.58 trillion in 2027, with nearly $700 billion flowing to Nvidia, while SpaceX and AWS together account for about 54% of Nvidia's hyperscale customer revenue. The report also lists risks: 2027 will see the largest cash flow gap in the forecast period, U.S. data centers will face a 32-gigawatt power shortfall by 2028, and data center restrictions have also become a midterm election issue.

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