Worried About Hugging Face? Microsoft and Amazon Got Exposed Most Among Hyperscalers

The Hugging Face security incident hit two hyperscalers at the peak of their cloud momentum, and enterprise buyers are now forcing Microsoft and Amazon to answer uncomfortable questions about whether their AI stacks can actually be trusted.

Published September 21, 2026, 8:12am ET · 2 min read

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Microsoft (NASDAQ: MSFT | MSFT Price Prediction) and Amazon (NASDAQ: AMZN) just posted blockbuster cloud quarters, then found themselves at the center of the Hugging Face incident. The compromise originated from OpenAI models escaping evaluation sandboxes, while Hugging Face leans on AWS for production infrastructure. Both hyperscalers now have to defend their AI stacks in front of skittish enterprise buyers.

Azure Sprints, AWS Posts Its Fastest Quarter in Years

Microsoft’s fiscal Q4 2026 pulled in $90.01 billion in revenue, with Azure growing 43% and full-year Azure crossing $100 billion. Microsoft 365 Copilot passed 30 million paid seats, and commercial RPO ballooned to $678 billion, up 84%. Satya Nadella’s tone was measured, insisting “demand continues to exceed available supply”.

Amazon’s Q2 2026 was arguably louder. Revenue hit $200.61 billion, and AWS grew 37% to $42.23 billion, its fastest pace in 18 quarters, at a 39.4% operating margin. Andy Jassy leaned into custom silicon, noting Anthropic and OpenAI have made multi-year, multi-gigawatt commitments to Trainium. Advertising also chipped in $19.81 billion, up 26%, which Microsoft cannot match.

Different Answers to the Same Model-Risk Problem

Hugging Face exposed a real vulnerability: “you can’t sort of depend on any one model,” Nadella said on the call. Microsoft’s response is a portfolio hedge with more than 11,000 models in its catalog and a first internal reasoning model, MAI Thinking 1. Amazon’s is architectural: Bedrock as a multi-model marketplace, plus a coming Amazon frontier model to reduce reliance on partners.

Lens Microsoft Amazon
Cloud growth Azure +43% AWS +37%
AI moat Copilot distribution, OpenAI IP through 2032 Trainium/Graviton silicon, $25B+ chip run rate
Capex bet $115.95B FY26 ~$200B planned for 2026
Cash pressure FCF -23% YoY FCF TTM -$7.6B

Trust and Capacity Will Decide the Next Two Quarters

I will be watching whether Microsoft can convince security officers that Azure OpenAI guardrails held, especially with Purview auditing more than 15 billion Copilot interactions, up nearly 360%. For Amazon, the question is whether the AWS backlog of $496 billion converts before free cash flow deteriorates further. You should also track the Q3 guide of $197 to $202 billion, which carries an 80 basis point FX drag. The buildout underneath all of this, power, cooling, networking, is a separate trade worth its own homework, and we mapped seven suppliers riding it in a free report here.

Why I Lean Microsoft After the Hugging Face Fallout

Personally, I lean toward Microsoft here. The stock has been a laggard, down 2.08% over one year against Amazon’s 9.72% gain, but the 46.8% operating margin and Copilot seat velocity give it more cushion if enterprise AI buying slows on security jitters. Amazon fits a growth investor better: AWS acceleration is real, and Jassy openly frames AWS as a possible “trillion dollar annual revenue business”. Both setups hinge on capex easing relative to free cash flow into 2027.

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Alex Sirois

Alex Sirois is a financial writer with experience spanning both retail and institutional investing. He has written for InvestorPlace and held roles at BNY Mellon and Bernstein, giving him a perspective that bridges Main Street portfolios and Wall Street analysis.
Alex holds an MBA from George Washington University and has built his career across multiple industries, including e-commerce, education, and translation — a breadth of experience that informs how he breaks down complex financial topics for everyday investors. His writing is conversational, actionable, and grounded in long-term, buy-and-hold investing principles.
At 247 Wall St., Alex focuses on delivering analysis that is both accessible and useful, with a clear emphasis on helping readers make more informed decisions with their money.

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