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Meet Kevin onNVDANvidia

Every thesis Meet Kevin has voiced on NVDA 28 in all, newest first, with the arguments and risks behind each. Reads as the evolution of their view: the bottom is where they started, the top is where they landed.

BullishGoldman ISSUES Warning for the Total Stock Market | 2027 will SUCK.Sep 22, 2026
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Kevin argues Nvidia is part of a 'hardware 2.0' rally thesis, believing chip and hardware stocks have lagged behind the profitability implied by massive capex flowing from companies like Google and SpaceX. He views Nvidia's valuation as cheap relative to fundamentals, though he flags eventual risk when hardware earnings growth turns negative.

Key arguments

  • Capital raised by Google and SpaceX is being funneled into hardware purchases from Nvidia and ASIC makers
  • Hardware stocks have lagged behind near-term EPS estimate trajectories, implying an undervaluation
  • Chip investments (e.g., his own company's GPUs) have doubled in value over the past year

Risks acknowledged

  • Eventually negative earnings growth will hit the hardware sector, including Nvidia, though timing is uncertain (possibly not until 2028-2030)
BullishHOLY BALLSSep 22, 2026
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Kevin views Nvidia as undervalued relative to AMD on a PEG basis and highlights its growing CPU business as an underappreciated growth driver on top of its dominant GPU franchise. He believes the stock could push toward $600 and become the first $10 trillion company.

Key arguments

  • Nvidia projecting $20 billion of CPU demand in 2026 alone, rivaling a large chunk of AMD's gross profit
  • Nvidia trades at a much cheaper PEG ratio (~0.7-1) than AMD (~1.5-1.6)
  • Nvidia has $334 billion in supply commitments versus AMD's $30 billion
  • Nvidia's cash flow ($70B in six months) dwarfs AMD's ($4B)

Risks acknowledged

  • Nvidia's CPU business is starting from zero and comparisons involve near-infinite growth rates
BullishSKYROCKETING STOCK MARKET: Meta, AMD, Agentic Compute & IRAN ?!?!?!Sep 21, 2026
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Kevin argues Nvidia is 'dirt cheap' relative to AMD on a PEG basis and is quietly becoming a serious CPU competitor, projecting it will be the first company to reach a $10 trillion market cap.

Key arguments

  • PEG ratio near 0.7-1x vs AMD's 1.5-1.6x
  • $334B in supply commitments vs AMD's $30B
  • Guiding to $20B of CPU sales in 2026, entering AMD's turf
  • 75% gross margin and 62% net margin far exceed AMD's
Strongly Bullishwhy stocks are skyrocketing [spoiler: it's just getting started]Sep 21, 2026
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Kevin argues Nvidia is dirt cheap on a PEG basis compared to peers and that a breakout above technical resistance at $227 will trigger a rapid rally to over $300 as the broader hardware sector re-rates higher.

Key arguments

  • Nvidia trades at roughly a 0.65 PEG ratio, less than half of AMD's valuation
  • New Reuben chip architecture reduces memory dependency by boosting bandwidth 10x while RAM only doubles
  • Nvidia's credit backing makes data center financing cheaper for partners, increasing desirability of Nvidia-linked plays

Risks acknowledged

  • Nvidia has $280 billion in memory and chip commitments outstanding, raising questions about its ability to pay
  • Being a large, expensive company means it takes more capital to move the stock meaningfully
Strongly Bullishare we f**k'dSep 19, 2026
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Kevin argues Nvidia is the dominant beneficiary of the AI and robotics buildout, controlling the training chips (Reuben/Vera Rubin GPUs), edge chips (Thor/Orin), networking (ConnectX/Bluefield), and software stack (CUDA, Omniverse, ROS2) across both AI and humanoid robotics. He believes Nvidia is undervalued given this near-total vertical dominance.

Key arguments

  • Nvidia chips (Reuben) are used to train humanoid robots like Figure's, and its Thor/Orin chips run on-device robot inference
  • Nvidia's CUDA, Omniverse, and ROS2 ecosystem gives it software lock-in across the robotics stack
  • New model compression trends increase, not decrease, value of both new and older Nvidia chips
  • Nvidia is a top pick in his robotics stock research with a 2x PEG-based screen

Risks acknowledged

  • Overall AI bubble could pop if financing for compute deals (NScale, Anthropic) collapses
  • High bandwidth memory demand from GPUs could diminish as chips become more efficient (mixed for memory-adjacent names, not Nvidia itself)
BullishAnthropic *SUDDENLY* Delays IPO & Nscale IPO Looks BADSep 18, 2026
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The host frames Nvidia as a net winner regardless of how the AI infrastructure financing plays out, since it collects cash upfront from GPU sales to companies like Nscale, and is also providing convertible-note financing to help customers afford its chips.

Key arguments

  • Nvidia is lending Nscale roughly a billion dollars via a convertible note to help fund GPU purchases
  • The host states Nvidia 'is in a great spot because they collect the cash right away,' regardless of downstream financing risk at customers
MixedWARNING: The Two Paths to Recession.Sep 18, 2026
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Kevin describes a 'circular spending' cycle where Nvidia funds Neoclouds and AI labs who in turn buy more Nvidia chips, calling this one of two 'canaries' that could either sustain the AI boom or trigger a recession if it breaks down. He currently believes the canary 'isn't sick' and expects the AI software/agentic business shift to eventually offset concerns about unprofitable frontier model spending.

Key arguments

  • Nvidia invests free cash flow into Neoclouds like CoreWeave and Nebius, who use upfront payments to buy more Nvidia chips, creating a circular spending loop.
  • AI labs like Anthropic and OpenAI could shift from being valued on having 'the best model' to being valued on software platforms for compliant enterprise agents, opening a $6-11 trillion knowledge-worker market.
  • The canary is 'not sick' right now because the labor market is currently improving, not deteriorating.

Risks acknowledged

  • If Anthropic isn't profiting from software after a year and margins worsen, 'the canary is starting to get sick.'
  • If the labor market rolls over and triggers the Sahm rule, circular AI spending could slow and construction/AI-adjacent jobs could evaporate, risking recession.
Bullish*This* $5 Trillion Dollar AI Stock is about to 2x.Sep 17, 2026
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Kevin remains bullish on Nvidia overall, viewing it as the dominant player controlling the entire data center stack, even as he discusses Apple potentially becoming a competitor/customer in servers. He sees Nvidia's mode as durable due to its full-stack control of switches, networking, and connections.

Key arguments

  • Nvidia is a manufacturer of the whole data center array top to bottom, which creates a huge moat.
  • Nvidia sees Apple as a competitor for on-device AI and potentially in data centers, but Kevin still holds a bullish view on Nvidia itself.
  • Nvidia's own product margins (~75%) are used as a benchmark against Apple's potential server margins.

Risks acknowledged

  • Apple wanting to use its own CPUs/GPUs while still leveraging Nvidia's NVLink represents a potential competitive threat to Nvidia's server dominance.
BullishThe Fed will Hike Today | Stocks TENTATIVE, AI, Nvidia, Meta - Retail SalesSep 16, 2026
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Kevin remains bullish on Nvidia even while discussing Apple's potential entry into the server market as a competitive threat, maintaining a price floor view of over $300 per share. He sees Nvidia's NVLink Fusion technology as a major moat even as more ASIC designers and now potentially Apple look to integrate with its ecosystem.

Key arguments

  • NVLink Fusion gives Nvidia a moat by letting other companies' ASICs connect into its data center stack
  • Nvidia dominates the AI server market despite emerging competition
  • Apple's potential server ambitions still rely on Nvidia's networking technology

Risks acknowledged

  • Apple could become a competitor in both on-device and data center AI
BullishThe Stock Market Nervousness, Fed, Elon, AI ChipsSep 15, 2026
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Kevin believes Nvidia is part of a coming 'hardware super-cycle 2.0' as AI spending shifts from capex to opex/inference, with margin resilience justifying continued chip demand. He holds a position and expects the stock to do well alongside peers.

Key arguments

  • Shift from pre-training capex to inference opex should support margins across hardware names
  • Chip despeccing by Nvidia is seen as adapting to inference-focused demand, not a bearish signal

Risks acknowledged

  • Acknowledges memory/HBM costs remain a headwind
Bullishthey're all wrong.Sep 13, 2026
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Kevin suggests Nvidia is undervalued relative to its growth given constrained supply and extended runway from the AI bubble, though his exact price framing is unclear.

Key arguments

  • Nvidia has said it would be doing double current business if not for supply constraints
  • A coordinated AI spending slowdown to the level of current constraints doesn't actually reduce real demand for Nvidia chips
  • Extending the runway of AI labs like OpenAI and Anthropic extends estimates for Nvidia and AMD spending

Risks acknowledged

  • It is a bubble and will eventually pop once the 'canary' (Anthropic profitability signals) dies
BullishPREPARE FOR 3 RATE HIKES | Why I'm Buying.Sep 11, 2026
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Kevin sees Nvidia as a beneficiary of hardware names being undervalued relative to the current AI capex cycle if a new Iran memorandum of understanding materializes.

Key arguments

  • Believes hardware has gotten 'too cheap' for this phase of the AI cycle
  • Names Nvidia among stocks that 'win' in the next memorandum of understanding scenario

Risks acknowledged

  • Acknowledges this is his own speculation and he could be wrong
BullishBuy the Dip.Sep 11, 2026
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Kevin thinks Nvidia has been undervalued for months and is close to breaking out of a long-standing technical ceiling, pointing to Microsoft's reported plan to massively scale up AI compute capacity as a bullish signal for chip demand. He argues hardware names broadly have gotten too cheap for this stage of the AI buildout cycle.

Key arguments

  • Microsoft reportedly planning to roughly 3x total data center capacity, a 16x increase in AI-specific compute from 2 to 32 gigawatts
  • Hardware stocks including Nvidia, Broadcom, AMD, and CoreWeave have gotten too cheap relative to this phase of the AI investment cycle
BullishCRITICAL Bubble Warning: OpenAI & Oracle JUST *THREATENED* Elon & SpaceX.Sep 10, 2026
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Kevin sees the massive Oracle-OpenAI compute deal as strongly positive for Nvidia and other hardware providers, since it signals continued heavy spending on chips and data center buildout.

Key arguments

  • The $300 billion Oracle-OpenAI deal requires 4.5 gigawatts of power, driving major hardware demand
  • Called it 'mega good for the hardware providers' and 'great for the chip trade'
BearishHardware AI Stocks Reverse POST Jackson HoleAug 28, 2026
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Kevin notes Nvidia gave back all of its post-earnings gains and is dragging on the broader hardware/semiconductor trade following Jackson Hole's hawkish tone. He frames the pullback as part of a wider rotation out of AI hardware names.

Key arguments

  • Nvidia reversed its earnings pop and fell back to pre-earnings levels
  • The Philadelphia Semiconductor Index (SOX) fell over 3% and SUEL/related names dropped sharply, signaling broad hardware weakness
MixedIs the AI Trade DEAD? The FULL AI Stock Thesis Break Down.Aug 28, 2026
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Kevin breaks down a bullish AI-compute thesis piece and pushes back on several of its assumptions, arguing that token costs are rapidly depreciating and that open-weight models from firms like Alibaba will compress margins for frontier labs and hardware demand. He says he remains bullish on AI hardware and stocks in the near term but believes the buildout could end in a bubble pop within a few years.

Key arguments

  • Token costs are a rapidly depreciating asset, undermining the 'two S-curve' bull argument for exponential compute demand
  • Open-weight/Chinese models (e.g., Alibaba's Qwen) are up to 100x cheaper than frontier lab tokens, which will compress margins
  • Software, not infrastructure or tokens, will capture most of the long-term value because it maintains high gross margins
  • The bull piece's comparison to Qualcomm vs MediaTek is flawed because token models can be swapped instantly while phone chips cannot
  • Assumptions of 40% CAGR revenue growth justifying 100 gigawatts of compute by 2030 are overly optimistic

Risks acknowledged

  • The bull case argues AI usage involves two multiplying exponential curves (more users x more tokens per user), unlike the flat-fee internet buildout
  • The piece argues Anthropic's revenue slowdown was due to compute constraints and anti-distillation crackdowns, not fundamental demand issues
  • The report contends closed-source frontier labs can maintain a moat because open-source models are harder to optimize
BullishMajor Earnings: Marvell, Iren, Autodesk, Affirm, Workday StockAug 27, 2026
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Kevin sees renewed strength in Nvidia and the broader AI hardware trade after a period of stagnation, framing the current move as the start of a second wave of the hardware rally. He notes Nvidia reclaiming the $227 breakout level and strong earnings-call commentary on demand and circular financing clarity.

Key arguments

  • Nvidia recovered and closed over the $227 breakout level
  • Michael Burry reportedly closed his hedge against Nvidia
  • Strong guidance and clarity on circular financing from the earnings call is being rewarded
  • Believes the AI hardware trade is just getting started on a 'second rally'

Risks acknowledged

  • Palo Alto CEO warned Neocloud pricing could crash in two years due to compute oversupply
  • Concerns about how $40-50B/gigawatt underwriting (e.g., via Musk) reconciles with $17B/gigawatt Anthropic lease pricing
MixedThe AI Stock Rally is BACK. For Now.Aug 27, 2026
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Kevin sees Nvidia's earnings beat as a bullish near-term catalyst for a 'hardware rally 2.0,' driven by massive capital raises from Google, SpaceX and others being funneled into Nvidia purchases. However, he repeatedly flags that the long-term foundations of this spending (OpenAI, Anthropic, circular financing) are unstable and expects the AI trade to eventually 'come down' even as he remains bullish in the near term.

Key arguments

  • Nvidia's beat-and-raise was fueled by massive capital raised by cloud/AI customers being spent on Nvidia hardware
  • Sustainability of AI spending depends on Anthropic and future cloud provider spending, not Nvidia itself
  • Long-term foundations (OpenAI/Anthropic revenue triangle) are described as unstable

Risks acknowledged

  • Analysts didn't expect Nvidia to raise guidance this much, suggesting surprise upside
  • Openweight/cheap Chinese models could erode frontier lab pricing power and threaten the Nvidia spending foundation
MixedMy FINAL Warning: Prepare for the Fed Tomorrow.Aug 27, 2026
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Kevin is near-term bullish on Nvidia as part of the broader AI hardware rally, but expresses longer-term skepticism that the AI spending foundations (built on OpenAI and Anthropic) are sustainable, expecting an eventual unwind.

Key arguments

  • Near-term spending from Google, SpaceX, and AI infrastructure buildout supports a hardware rally
  • Long-term revenue foundations depend on high-margin frontier labs like OpenAI and Anthropic, which he views as unstable

Risks acknowledged

  • Acknowledges being simultaneously bullish short-term and bearish long-term, calling it a 'bullish bubble'
MixedNvidia JUST Proved the AI Stock Bubble is about to Burst.Aug 27, 2026
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Kevin argues Nvidia's massive backlog increase (70% growth guidance vs. 48% prior) coincides suspiciously with over $160 billion raised by Google and SpaceX, suggesting circular financing is inflating AI hardware demand. He remains fundamentally bullish on Nvidia's near-term hardware rally but flags red flags in the underlying economics, including unsustainable Frontier Lab margins and Nvidia guaranteeing deals that recycle back into its own revenue.

Key arguments

  • Google and SpaceX raised over $160 billion in capital which coincidentally matches Nvidia's $160 billion backlog increase
  • Nvidia's $105 billion guarantee to OpenAI translates into roughly $82.5 billion of GPU revenue, nearly a full quarter of Nvidia's data center revenue from one customer
  • Anthropic's Nscale contract implies compute pricing of about $17.4 billion per gigawatt, below Nebius's $20-25 billion per gigawatt long-term contracts, undermining Elon Musk's $40-50 billion per gigawatt revenue assumptions
  • Frontier Labs like Anthropic reportedly add back training costs to inflate margins, which Kevin calls unsustainable economics

Risks acknowledged

  • Kevin states he is 'not bearish Nvidia' and believes Nvidia will profit from Google, SpaceX, and Anthropic compute spending
  • He calls the current trend a bullish 'hardware rally 2.0' even while flagging bubble concerns
BullishNebius Stock (NBIS) Price Target JUST JumpedAug 27, 2026
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Nvidia is mentioned as a beneficiary of the broader AI compute build-out, with Nebius's new Groq-based chip access and rising GPU rental pricing framed as generally positive for Nvidia's ecosystem. No specific price target or standalone thesis on Nvidia stock is given.

Key arguments

  • Rising GPU rental rates and demand from agentic AI workloads seen as supportive for Nvidia's hardware ecosystem
  • Strong compute deal pricing across the sector described as 'pro chip build-out' and 'pro Nvidia'
NeutralThis AI Stock Rally is UNSTOPPABLE. Here's WHY.Aug 26, 2026
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Nvidia is mentioned mainly as a participant in the open-weight AI model trend and as a partner in Dell's AI ecosystem, but Kevin does not offer a distinct investment thesis or prediction on Nvidia itself in this video.

Key arguments

  • Nvidia is releasing its own open-weight models, contributing to the broader shift away from closed-weight systems.
  • Nvidia is listed as one of the partners in Dell's AI factory ecosystem.
NeutralWhy I'm Buying the Dip BIGLYAug 26, 2026
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Kevin frames Nvidia's earnings later that day as a key catalyst that could confirm or undercut the broader bullish thesis heading into Jackson Hole. He does not give a specific price or directional call on Nvidia itself, treating it mainly as a market-wide signal.

Key arguments

  • Nvidia earnings could show whether the market is 'overheating' or not
  • Earnings will help gauge enterprise AI spending trends feeding the broader bull thesis
MixedDavid Sacks *JUST* Exposed the TOP of the AI Bubble | Critical.Aug 25, 2026
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Kevin argues that the assumptions underpinning the AI infrastructure buildout — including the idea that data centers can generate $100 billion of annual recurring revenue per gigawatt — are not supported by Anthropic's actual reported revenue run rate of roughly $64-65 billion. He contends this inflated revenue assumption is what justifies compute providers paying SpaceX/xAI 30-50 billion per gigawatt, which in turn funds Nvidia's chip sales, and warns that if the real numbers compress, the entire chain including Nvidia's circular financing arrangements could be exposed to an oversupply and demand slowdown.

Key arguments

  • Anthropic's annualized revenue run rate of $64-65 billion implies only $32-64 billion per gigawatt of compute, far below the $100 billion figure David Sacks cited on the podcast.
  • Token generation growth is showing a negative second derivative, meaning growth is decelerating, which undercuts the 'exponential demand' argument used to justify continued buildout.
  • Nvidia's circular financing deals (offering revenue share and residual value guarantees) are designed to keep cloud companies buying more chips despite financing constraints, which Kevin frames as a risk if the underlying demand assumptions don't hold.
  • Massive incremental compute (roughly 10 gigawatts) coming online from Amazon, Google, and Broadcom raises the question of whether revenue can scale to match, and Kevin argues the current data doesn't support that it will.

Risks acknowledged

  • David Sacks argues that political headwinds against data center buildout (regulatory pushback, permitting audits) could act as a natural hedge against an oversupply scenario.
  • Nvidia's Jensen Huang has structured deals (like guaranteed offtake and revenue share above a floor) that alleviate financing constraints for cloud buildouts, which could support continued expansion.
MixedThe Memory Collapse JUST Started | Here's WHY.Aug 24, 2026
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Kevin notes Nvidia recently raised server chip prices about 15%, which markets read as bullish for margins, but attributes much of that pricing power to memory cost inflation rather than Nvidia-specific strength. He floats the idea that Nvidia could actually benefit if memory prices eventually fall, since it could keep GPU prices elevated while lowering its own cost of goods sold, but frames this as speculative.

Key arguments

  • Nvidia's ~15% price hike on server chips is partly a pass-through of higher memory input costs.
  • Markets already expect Nvidia to beat earnings, so the bar for a positive surprise is embedded in expectations, similar to the dynamic that hurt Samsung.

Risks acknowledged

  • It's uncertain whether Nvidia would actually benefit from falling memory prices; this is presented as a possibility, not a conviction call.
BullishThe SEC *JUST* Flipped the AI Bubble | Bullish on Fraud.Aug 13, 2026
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Kevin is bullish on Nvidia due to its new $500 billion data-center financing partnership with major asset managers, which he believes will disproportionately benefit Nvidia's revenue. He frames this as a key reason to be bullish on markets broadly in the near term.

Key arguments

  • Nvidia partnered with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize $500 billion for GPU/data-center financing
  • He estimates roughly 40% of that $500 billion could flow directly into Nvidia's revenue
  • Loosened SEC disclosure requirements make it easier to finance and expand data-center buildouts, benefiting Nvidia

Risks acknowledged

  • This financialization is accelerating an eventual AI bubble that he expects will pop
MixedStarting Over, the Lying Job Market, AI Collapse, & Investing.Aug 11, 2026
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Kevin likes Nvidia as a pricing-power leader in AI chips today, but he's uncertain whether Nvidia's extremely high growth expectations can be sustained over the next decade, which matters a lot for its PEG-based valuation. He used Nvidia as a live example to show how collapsing forward growth estimates can blow out the PEG ratio.

Key arguments

  • Nvidia currently has pricing power due to chip shortages, not necessarily due to being structurally better
  • Forward growth estimates for Nvidia are trending down and could turn negative, which would make the PEG ratio unreliable or extremely high
  • Valuation is highly sensitive to whether elevated growth rates persist

Risks acknowledged

  • If growth estimates fall much further, the PEG ratio becomes undefined or extremely unattractive
BullishStocks, Fed, TrumpJan 6, 2026
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NVIDIA is helping prop up the market today and announced significant developments at CES including the Ruben chip and open-source self-driving models, which the YouTuber sees as underappreciated assets.

Key arguments

  • Helping prop up market today
  • Ruben chip reduces token costs 10x
  • Open-sourcing self-driving models is smart strategy
  • Most underappreciated asset of NVIDIA

Risks acknowledged

  • People don't see big revenue from self-driving models
  • 89% of sales still from chips