CoreWeave Vs. Cloud Giants: Amazon’s Most At Risk

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By Alex Sirois Published

Quick Read

  • AWS grew 37% YoY, but Amazon's $54B Q2 capex flipped free cash flow negative while NVIDIA posted 92% Data Center revenue growth.

  • NVIDIA acts as a toll collector across the AI economy, profiting from AWS, CoreWeave, Anthropic, and OpenAI simultaneously regardless of which cloud wins frontier workloads.

  • CoreWeave exploits AWS's legacy architecture by delivering 40-60% cheaper compute through bare-metal, pure-NVIDIA clusters built specifically for ultra-dense frontier AI training.

  • The most widely read finance newsletter on Substack isn't published by a bank, it's Doomberg, where 383,000+ readers get the energy and macro analysis the mainstream press misses. 24/7 Wall St. readers save 17% on their first year here.

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CoreWeave Vs. Cloud Giants: Amazon’s Most At Risk

© David Ryder / Getty Images

Amazon (NASDAQ: AMZN | AMZN Price Prediction) and NVIDIA (NASDAQ: NVDA) both delivered blockbuster earnings, yet the CoreWeave narrative is quietly reframing which one actually owns the AI economy. Amazon reported AWS growth of 37% YoY, its fastest in 18 quarters. NVIDIA posted +85.2% revenue growth. Same AI wave, very different exposure to the neocloud threat.

AWS Is Accelerating, But the Cost of Defending It Is Enormous

Andy Jassy leaned hard into the AI narrative, telling investors “AWS is booming… our AI and Chips businesses each eclipsed run rates of more than $25 billion.” The $496 billion AWS backlog is growing triple digits. AWS operating margin expanded to 39% (up 650 basis points YoY).

The problem is the price of admission. Amazon spent $54.208 billion in Q2 capex alone and is guiding to roughly $200 billion for FY2026. Free cash flow flipped to negative $7.6 billion TTM. That is the tax Amazon pays for retrofitting a general-purpose cloud into an AI factory, exactly the friction specialized neoclouds like CoreWeave exploit with bare-metal, pure-NVIDIA clusters delivering 40 to 60% cheaper compute for frontier training.

NVIDIA Wins Whether AWS or CoreWeave Serves the Workload

Jensen Huang framed it bluntly: “The buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed.” Data Center revenue hit $75.25 billion, up 92% YoY, with networking (InfiniBand, Spectrum-X) nearly tripling. Gross margin sits at 75%, operating margin at 60.4%. Those supplier economics no hyperscaler can match while funding concrete, power, and cooling (we profiled seven of the power, cooling, and networking suppliers behind that buildout in a free report you can grab here).

Lens Amazon (AWS) NVIDIA
Core Bet Trainium + Graviton to displace GPU spend Blackwell, Vera Rubin, NVLink ecosystem
Q2 Capex vs. Free Cash Flow $54.2B capex, FCF negative $48.55B FCF, +85%
Key Vulnerability CoreWeave and neoclouds routing AI labs around AWS China data center revenue excluded from guide

 

The Trainium Question Is Real, But So Is the Loophole

Jassy noted “multi-year, multi-gigawatt commitments” from Anthropic and OpenAI to Trainium. That is a genuine share grab in custom silicon. Yet he also conceded AWS will “continue making AWS the best place to run NVIDIA chips” because customers demand choice. Every hyperscaler still funnels dollars to Santa Clara. CoreWeave takes the workloads AWS’s legacy architecture handles least efficiently, exactly the ultra-dense training clusters where NVIDIA’s networking stack shines.

Why I Lean NVIDIA Over Amazon on This Quarter

The CoreWeave story makes NVIDIA the cleaner AI expression. Amazon is a fine business, and AWS at a $169 billion run rate is not going anywhere. But its highest-margin AI dollars are the ones most contested by neoclouds, and it is spending unprecedented capex to defend them. NVIDIA collects a toll from AWS, CoreWeave, Anthropic, and OpenAI simultaneously. For investors weighing defensive scale and retail cash flow optionality, Amazon retains a distinct profile. For those focused on the picks-and-shovels exposure that benefits regardless of which cloud wins the frontier lab, the supplier’s economics look more insulated than the battleground’s.

Contact [email protected] for any questions or corrections.

Photo of Alex Sirois
About the Author 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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