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Nvidia (NVDA) Earnings Review | Feat. Steven Fiorillo

Channel: Future Investing Published: 2026-02-25 21:52
Future Investing

An interview-style market discussion centered on Nvidia’s blowout earnings and what they imply for AI infrastructure, margins, valuation, and the durability of the capex cycle. The speakers are extremely bullish on NVDA, argue the market is still undervaluing its growth and profitability, and broaden the discussion to AI-adjacent names like TSM, ASML, Nebius, CoreWeave, Zeta, and Salesforce, plus a speculative side discussion on Netflix, Warner Bros. Discovery, and the future of content creation in the AI era.

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Detailed summary

This transcript is a high-conviction, highly enthusiastic post-earnings reaction to Nvidia’s quarter. The central thesis is that Nvidia did not just beat expectations; it reaffirmed the scale and durability of the AI buildout, with revenue growth, margin expansion, and forward guidance all described as unprecedented for a company of its size. The speakers repeatedly frame the print as evidence that the “bare case” is gone, that the AI capex cycle is still early, and that the market is underreacting to what they see as the most profitable company in the world. A major emphasis is on the scale of Nvidia’s revenue and earnings. The speakers say Nvidia grew revenue by roughly $29 billion year over year, guided to about $78 billion next quarter, and posted net income margins around 63%. …

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Main takeaways

  1. Nvidia’s quarter is presented as the clearest evidence yet that the AI capex cycle is still accelerating, not peaking.
  2. The speakers believe NVDA’s growth, margins, and guidance make it look cheaper after the report, not pricier.
  3. They think the market is underpricing how fast forward estimates and valuation metrics will reset upward.
  4. AI infrastructure, cloud, semis, and adjacent software/data names are viewed as the main beneficiaries of the buildout.
  5. The speakers see Nvidia as moving toward a platform/investment-holding role across the AI ecosystem.
  6. They also think AI will drive meaningful productivity gains, but with serious labor-market disruption.
  7. They are much less enthusiastic about consumer/legacy multiples than about companies directly tied to compute and automation.
  8. A side theme is that media/content could be reshaped by AI, but sports remains uniquely hard to automate.

Market read by horizon

Short term

Tactically, the setup is bullish but crowded: Nvidia’s print should force estimate revisions higher, but the stock can still lag if the market stays skeptical or rotates elsewhere. The immediate risk is that price action underwhelms even after a monster quarter, so the next few sessions matter for confirmation.

  • Immediate focus is the post-earnings rerating of Nvidia after the guidance/print; the speakers expect estimates and valuation multiples to update quickly.
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  • Near-term tactical risk is that the stock could still lag or the market could ignore the print, which they specifically acknowledge has happened already.
  • They highlight summer guidance updates from Microsoft as the next big catalyst for confirming whether capex stays elevated.
Mid term

Over the next few months, the base case is continued AI capex confirmation from hyperscalers and adjacent infrastructure names, which would support a broader rerating of semis and AI-linked software. If Microsoft and peers keep lifting spending guidance, the market likely extends the trade; if capex flattens, the enthusiasm cools quickly.

  • Over the next several weeks to months, their base case is that Nvidia’s forward revenue and EPS estimates keep stepping higher as old quarters roll off and new quarters are added.
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  • They expect the market to gradually rerate NVDA higher if the company continues to print 70%+ growth and preserve strong margins.
  • The broader AI infrastructure trade could remain favored as long as hyperscaler and enterprise capex keeps rising.
Long term

Structurally, the transcript argues that AI is becoming a new industrial buildout regime, with Nvidia acting as a central profit pool and capital allocator. If that regime persists, the long-run winners are likely to be compute, infrastructure, and automation platforms, while labor-intensive back offices and lower-moat software models face persistent pressure.

  • Structurally, the speakers believe Nvidia is becoming a core capital allocator in the AI ecosystem, not just a chip vendor.
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  • They frame AI as a durable productivity regime that will reshape enterprise workflows, software spending, and cloud/infrastructure economics.
  • Long term, they expect labor displacement to be significant and think AI’s main gains may accrue to corporations and shareholders more than to workers.
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Key claims (12)

BULLISH Nvidia

Nvidia looks even cheaper after the latest earnings numbers.

The speaker argues that the company posted stronger-than-expected results and that valuation metrics will improve as those results roll into trailing figures.

BULLISH AI capex / semiconductor demand Nvidia

Nvidia is likely to continue strong growth because the capex buildout and GPU demand cycle are not ending soon.

The speaker points to TSMC's new fab construction as evidence that the demand cycle is longer than a single year and that supply-chain actors see sustained need for GPUs.

BULLISH Nvidia

Nvidia is likely to become the most profitable company in the world this year and still trades at a suboptimal valuation.

The speaker points to Nvidia's rapid revenue and earnings growth, high margins, and forward P/E below many peers as evidence that the stock remains undervalued.

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Assets discussed (10)

Nvidia — NVDA
BULLISH stock

The speakers argue the quarter was a blowout, growth reaccelerated, margins expanded, and forward estimates should rise materially, making the stock look cheaper after earnings.

Salesforce — CRM
BULLISH stock

They call the stock too cheap at under 15x forward earnings and point to raised guidance and a large buyback as evidence of durability.

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Speakers

GUEST Tanner GUEST Steven Fiorillo INTERVIEWER Tanner Manson

Interview (31 Q&A)

nvidia earnings

How excited are you about Nvidia's numbers, regardless of the stock price?

Tanner says he is blown away and views the revenue growth as unprecedented for a company of Nvidia's size. He emphasizes the scale of the year-over-year increase and says the numbers reflect a major AI buildout.

valuation

Do you think Nvidia deserves a lower valuation multiple compared with Walmart, or does the market just not make sense here?

He says he does not feel resentful and instead feels vindicated. He thinks the market can be irrational and that Nvidia's growth and profitability make it look cheaper rather than more expensive.

margin

What was Nvidia's net income margin in the quarter?

The guest says the net income margin was 63%, up from 56%, and emphasizes that this is unusually high for a hardware company. He adds that even if the margin later falls, the company would still be producing enormous net income.

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Where this transcript pushes against consensus

  • The claim that Nvidia has “no bear case anymore” is too absolute; competition, capex slowdown, or valuation compression remain real risks.
  • Several numbers are stated very aggressively and sometimes loosely, which makes the argument sound more excited than rigorously sourced.
  • The “fund your customers” / ecosystem-investment rationale is presented as obviously shareholder-positive, but the circularity and execution risk are not fully addressed.
  • The speakers assume market rerating is inevitable, but they do not fully explain timing risk or why the stock may stay rangebound despite strong fundamentals.
  • The media discussion about AI-generated content and future subscription tiers is highly speculative and not tied to concrete evidence.
  • Their labor-market conclusions are plausible but largely intuitive; they do not provide hard data on net job creation versus destruction.

Topics

nvidia earningsai capex cyclevaluation reratinggross and net margin expansionecosystem investmentsagentic ai productivitysoftware and cloud beneficiariesai-adjacent stocksmedia and content in the ai eralabor displacement

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