Podcast Summary: The Rundown

Episode: Deep Dive: Is Nvidia Undervalued?
Date: February 28, 2026
Host: Zaid Admani (A)
Podcast by: Public.com

Episode Overview

Host Zaid Admani takes listeners on a deep dive into Nvidia’s latest earnings, exploring why the company’s seemingly stellar numbers coincided with a sharp drop in its share price. The episode breaks down both the bear and bull cases for Nvidia, assessing risks like market concentration, hyperscaler spending, AI sentiment, and looming competition—while also highlighting Nvidia’s continued growth, new technology, and surprising valuation metrics. The goal: to evaluate whether Nvidia remains undervalued and what could drive its future.

Key Segment Summaries

1. [00:00-03:40] Nvidia’s “Absurd” Earnings: By the Numbers

• Q4 Revenue: $68.1B, up 73% YoY
• Net Income: $43B, up 94% YoY
• Data Center Revenue: $62B, up 75%, now over 91% of total revenue
• Gaming Division: Now only $3.7B—Nvidia “is a full on AI chips company.”
• Growth After ChatGPT: Data center revenue up 13x since launch, “crazy in a very short amount of time.”
• Gross Margins: 75% - “selling hardware and able to generate software-like margins.”
• Networking Revenue: Nearly $11B, up 263% YoY. “So this shows that Nvidia's customers aren't just buying their chips, but they're also buying entire AI systems.”
• Hyperscaler concentration: “Over 50% of Nvidia's data center revenue comes from Microsoft, Meta, Amazon, and Google.”

Memorable Quote:

“The growth in Nvidia’s business has been absolutely crazy in a very short amount of time.” — Zaid (01:56)

2. [03:41–07:49] Why Did Nvidia’s Stock Drop After Blowing Out Earnings?

• Post-Earnings Reaction: Despite beating on every metric, the stock dropped nearly 10% in two days.
• Market is Forward Looking: Investors are nervous about larger economic risks linked to AI.
• AI “Doomerism”: Viral Substack post by Citrini Research imagined an economy hollowed out by AI. Markets spooked; tech stocks fall.
• History Reminder: Draws parallel to “Deep Seek” incident and Nvidia’s 17% drop last year—“the AI narrative can turn on a dime.”

Notable Quote:

“Any shift in the sentiment hits Nvidia stock pretty hard.” — Zaid (06:43)

3. [07:50–10:32] Bear Case for Nvidia: Risks Ahead

• Michael Burry (famed short seller) flagged ballooning purchase obligations: from $16B to $95B in a year.
• Comparison with Cisco (Dot-com era): Overordered; got caught in a demand collapse. Could Nvidia face similar “write-down” risk?
• Hyperscaler Spending At Risk:
  • The “big four” (Meta, Microsoft, Amazon, Google) account for most of Nvidia’s revenue.
  • Record CapEx ($700B combined in 2026) is hurting their own cash flow.
  • “If the stock price continues to fall, there’s going to be more pressure on management to potentially scale back capex. And if that happens, Nvidia could take a big hit.”
• Competition Intensifying:
  • Shift from AI “training” (Nvidia’s strength) to “inference” (opportunity for AMD, custom chips)
  • Meta’s new $100B inference chip deal with AMD, custom silicon initiatives at Google, Amazon, Microsoft, Meta.
  • “These hyperscalers just don’t want to be reliant on Nvidia.”

Notable Quote:

“Nvidia is placing huge bets on future demand without knowing if that demand will be there.” — Zaid (09:23)

4. [10:33–13:14] The Bull Case: Why Nvidia Might Still Be Undervalued

• Hyperscaler ROI: AI spending is delivering measurable results (Meta: better ad targeting and revenue; Google: search and recommendation improvements).
• Market Share and New Tech: Nvidia still primed to reap the rewards as the “best AI chips” provider.
• $500B Revenue Opportunity: Across Blackwell and “upcoming Rubin chip platforms.” Current orders already surpass last year’s demand assumptions.
• Tackling Inference: New inference chip in the works, incorporating tech from startup GROK (acquired 2025 for $20B); OpenAI is already set to become a major customer.
• Agentic AI Era:
  • AI moves from “just answering questions” to automating multi-step tasks—broadens customer base beyond hyperscalers into enterprise (banks, hospitals, logistics).
  • “The agentic AI inflection point has arrived. The next ChatGPT moment.”
• Potential China Upside:
  • Currently $0 of revenue; but both U.S. and Chinese regulators are loosening controls, possible opening for Nvidia chips.
  • “Jensen seems to think this could be a $50 billion opportunity.”

Notable Quote:

“The reality is, the more money these companies spend, a lot of that's going to trickle to Nvidia because they still have the best AI chips.” — Zaid (11:26)

5. [13:15–14:53] Valuation & Final Take

• Valuation Surprises:
  • Nvidia at less than 22x forward earnings (5-year avg: 37x).
  • Cheaper than ~1/3 of S&P 500.
  • “Palantir has a similar growth rate but trades at nearly 100x forward earnings.”
• Host’s Take:
  • Risks: AI doomerism, hyperscaler pullback, competition from custom chips.
  • But: “the valuation is pretty mind blowing.” Guidance strong, China upside, agentic AI = “massive tailwind.”
  • “At 22 times forward earnings, it's hard not to think that Nvidia might be undervalued.”
  • Short-term volatility possible as markets digest what an AI economy really means.

Notable Quote:

“I'm not going to sit here and tell you that Nvidia is a risk free investment… But at 22 times forward earnings, it's hard not to think that Nvidia might be undervalued.” — Zaid (14:40)

Memorable Quotes & Moments (with Timestamps)

• “The growth in Nvidia’s business has been absolutely crazy in a very short amount of time.” (01:56)
• “Any shift in the sentiment hits Nvidia stock pretty hard.” (06:43)
• “Nvidia is placing huge bets on future demand without knowing if that demand will be there.” (09:23)
• “The agentic AI inflection point has arrived. The next ChatGPT moment.” (12:37)
• “At 22 times forward earnings, it's hard not to think that Nvidia might be undervalued.” (14:40)

Timeline of Key Segments

| Timestamp | Topic/Segment | |------------|------------------------------------------------------| | 00:00 | Intro & headline numbers from Nvidia’s earnings | | 01:00 | Data center and networking growth | | 03:40 | Market reaction and sentiment risk | | 07:49 | Bear case: Burry’s concerns and Cisco comparison | | 09:50 | Hyperscaler spending and competition | | 10:33 | Bull case: ROI on AI, new chips, agentic AI, China | | 13:15 | Valuation analysis and host’s final take |

Tone & Delivery

• Fast-paced, direct, and analytical: Zaid delivers a concise but detailed account.
• Balanced: Both risks and opportunities are presented—no “hot takes,” just measured reasoning.
• Conversational and accessible: Complex ideas are explained simply for a broad investing audience.

Summary

This episode packs a punchy overview of Nvidia’s dominance, breaking down both why the market is nervous and why the long-term bull thesis remains intact. Zaid highlights explosive earnings, market overreactions, hyperscaler dynamics, supply chain risks, competition, new product lines, and valuation—leaving listeners with a toolkit of perspectives for making their own calls on the world’s most-watched stock.