Nvidia's $279 Billion Supply Bet Fuels Cramer's Data Center Warning
Jim Cramer is avoiding the AI data center trade as Nvidia's $279B supply commitments and 93% data center revenue exposure test investor conviction in the chip rally.
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Nvidia reported $89.02 billion of its $96.22 billion quarterly revenue from data centers — 93% — and Jim Cramer wants no part of the trade. On CNBC on November 10, 2026, he said: "I don't want to make this trade because I still feel that you don't want to be that linked to the data center yet." His comment landed as the two largest chip names in the AI buildout moved in opposite directions: Nvidia fell 5.22% to $169.35 while Broadcom rose 3.21% to $329.72 in Tuesday morning trading.
How exposed are the two companies?
The exposure is structural. Nvidia's supply obligations reached $279 billion, mostly memory purchased for the Vera Rubin platform. Days sales outstanding rose to 60 days from 45, according to the August-quarter figures. Those are large commitments made before demand is proven.
Broadcom's diversification is real but eroding. AI semiconductors produced 56% of total revenue in fiscal Q3, up from 49% in Q2, per the company's 8-K filing. Broadcom counts six XPU customers and has set up financing vehicles for two of them, Anthropic and OpenAI.
CEO Hock Tan said most AI computing demand "originates from this concentrated group who develop state-of-the-art frontier models." He also flagged deployment risk: "Even as we ship the chips, will they be deployed on a timely basis?"
Why have both stocks already fallen?
Nvidia is down 26.14% over the past month and 8.98% year to date. Not all of that reflects data center fears. The company opened an investigation into its chief executive's relationship with a suspected Chinese spy, and the stock fell for a second day as investors weighed the implications, per The New York Times and CNBC. Other chip stocks rallied during the same stretch. Broadcom is down 8.8% for the month and 4.21% for 2026.
What do the bulls argue?
Valuation is the bull case. Nvidia trades at a trailing P/E of 36. Against consensus EPS of $15.9146 for the fiscal year ending January 2028, the multiple falls to about 11x. That EPS estimate has climbed from $12.8148 in the past 90 days. Broadcom trades at roughly 17x fiscal 2027 consensus EPS of $19.4651.
Management guidance amplifies the case. Broadcom expects AI revenue of about $115 billion in fiscal 2027 and $230 billion in fiscal 2028, and says it has already secured supply for both years.
Jensen Huang frames demand as proven: "AI has reached its inflection point. It's doing useful work. Its tokens are productive and profitable. Now, compute is revenue."
The low multiples depend on the estimates holding. The spread among analysts is wide. Nvidia's fiscal 2028 revenue estimates run from $506.48 billion to $778.47 billion. Broadcom's fiscal 2027 estimates run from $114.72 billion to $200.12 billion. That dispersion is exactly Cramer's point.
What should investors watch next quarter?
- Nvidia: whether revenue meets guidance of $108.0 billion, plus or minus 2%, which assumes no China data center computing sales. Watch how the $279 billion in supply commitments evolves.
- Broadcom: whether fiscal Q4 revenue reaches about $34.8 billion and AI semiconductor revenue hits $21.7 billion. The gross margin guide of about 73% is falling as lower-margin XPUs grow as a share of sales.
- Deployment timing: Tan named "land, power, and shell" as major constraints. Site delays would push revenue into later quarters even with unchanged orders.
Where does the concentration risk sit?
For holders, the core question remains concentration. Nvidia derives almost all revenue from data centers. Broadcom holds VMware software, which grew 29% last quarter, yet AI chips claim a larger share of sales every quarter. The next round of earnings will show whether the wide estimate ranges narrow or split further.
Source: 247wallst.com
More from Sophie Lindqvist
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News editor covering money, funding and market shifts around Semiconductors, chip manufacturing, hardware, AI compute at Chip Dispatch.
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