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GOING ALL IN ON AI STOCKS... | Market Monitor

Channel: Future Investing Published: 2026-01-27 15:21
Future Investing

This is a long, high-energy live market stream centered on the AI infrastructure trade, especially CoreWeave, Nvidia, Nebius, and adjacent names like Meta, Amazon, Reddit, SoFi, Nubank, and Robinhood. The speaker’s core view is broadly bullish on AI compute and cloud capacity, arguing that demand, reliability, and strategic partnerships are keeping the trade strong even after sharp runs in the stock prices.

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Detailed summary

The stream is a mixed market wrap and live interview, but its center of gravity is the AI infrastructure boom. The speaker spends the first major segment hosting Jose Najarro to discuss CoreWeave, and the bullish thesis is built around three points: a unique strategic relationship with Nvidia/Jensen, the ability to build and run very large AI clusters quickly, and reliability that supports premium pricing. Jose argues that CoreWeave is the “star student” for Nvidia, repeatedly first to adopt Nvidia’s newest systems, and that this gives it a kind of moat that is not captured by ordinary financial metrics. …

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Main takeaways

  1. CoreWeave is presented as a preferred AI infrastructure name because of Nvidia alignment, scale, and reliability.
  2. The speaker thinks AI compute demand is still outrunning supply, supporting the whole stack.
  3. He views recent Nvidia/CoreWeave financing as strategic ecosystem support, not simply circular financing.
  4. He prefers names closest to the customer and monetization layer rather than far-back power/infra plays.
  5. He is optimistic on Meta, Amazon, Nvidia, SoFi, Nubank, Robinhood, Shopify, and some AI-adjacent names, but keeps saying volatility will be high.
  6. He is portfolio-construction driven and admits he is already heavily concentrated in Nvidia.
  7. He does not think the AI trade is ending unless performance gains stall or product usefulness stops improving.

Market read by horizon

Short term

Tactically, the AI trade still looks hot but crowded: momentum is strong, yet the speaker is warning not to chase CoreWeave after a fast run. Earnings/guidance from Meta, Microsoft, and other big capex spenders are the immediate risk-reward pivot.

  • CoreWeave had a sharp post-deal move and the speaker explicitly warns not to chase it after a fast 2-day run.
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  • Near-term sentiment is being driven by the Nvidia investment, analyst price-target chatter, and the market’s reading of the CoreWeave partnership.
  • H100 rental prices rising after Claude 4.5 is treated as a fresh confirmation that AI capacity remains tight.
Mid term

Over the next few months, he expects the AI infrastructure cycle to keep benefiting from supply constraints and rising rental/pricing pressure, with CoreWeave, Nvidia, and other compute suppliers re-rating if buildouts keep translating into revenue. The setup weakens if guidance softens, financing stress shows up, or customers shift spend away from the current winners.

  • Over the next several weeks/months, the base case is continued AI infrastructure expansion as long as demand for compute, software, and inference remains strong.
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  • CoreWeave’s thesis depends on successful deployment of its buildout, continued customer demand, and no major financing or reliability surprises.
  • The speaker expects higher revenue and more visible payback from the huge capex/buildout as quarters progress, reducing the importance of debt concerns.
Long term

Structurally, the transcript argues that AI is becoming a durable capex regime where the winners are the firms closest to customer demand and compute supply. If that remains true, the ecosystem could stay concentrated around Nvidia, hyperscalers, and a few preferred infrastructure partners for years.

  • The long-run thesis is that AI infrastructure becomes a durable, large-scale spending regime, not a one-off hype cycle.
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  • If AI tools keep improving productivity in code, ads, enterprise work, and scientific workflows, the secular demand for GPUs, cloud capacity, and adjacent infrastructure should persist.
  • The speaker thinks ecosystem partnerships like Nvidia/CoreWeave may define the market structure: preferred suppliers, preferred clouds, and a reinforcing network of demand.
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Key claims (12)

BULLISH AI infrastructure buildout CoreWeave

CoreWeave has a uniquely strong partnership with Nvidia/Jensen Huang that gives it preferential access to Nvidia's latest hardware.

Speaker argues CoreWeave is Nvidia's favored customer that always adopts new Nvidia hardware first, creating a competitive moat.

BULLISH AI compute scaling CoreWeave

CoreWeave is one of the few players that can build AI infrastructure at massive scale (10,000+ GPU clusters), and being first to scale gives it a critical advantage.

Speaker contrasts CoreWeave's ability to build 10,000+ GPU clusters vs competitors building ~1,000, arguing speed of scale is decisive in the AI race.

BULLISH AI compute demand

Rising H100 rental prices (e.g., after Claude 4.5 Opus launch) indicate extremely strong demand for AI compute, which is bullish for cloud GPU providers.

Speaker notes H100 rental prices have spiked and interprets this as evidence of sustained high demand for AI compute capacity.

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Assets discussed (32)

CoreWeave — CRWV
BULLISH stock

Presented as a favored AI compute name because of Nvidia partnership, massive cluster scale, and strong reliability.

Nvidia — NVDA
BULLISH stock

Seen as the core winner and strategic backer in the AI stack, with direct benefit from rising AI capex and ecosystem control.

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Speakers

GUEST Jose Najarro INTERVIEWER Tanner Manson

Interview (30 Q&A)

bull case

What are the main reasons you’re bullish on CoreWeave?

Jose says he likes CoreWeave because of its unique relationship with Nvidia and Jensen, its ability to build AI infrastructure at massive scale, and its strong reliability, which supports premium pricing and repeat customers.

gpu pricing

Do rising H100 rental prices help CoreWeave and similar names?

Jose says the impact depends on the contract structure. For CoreWeave, many deals are long-term, so spot pricing swings may matter less, though higher prices still signal very strong AI compute demand.

Nvidia-Coreweave deal structure

What was the $6.3 billion deal that Coreweave did with Nvidia and how does it allow them to target smaller businesses that can't get into long 5-year deals?

The $6.3 billion deal is Nvidia renting Coreweave's supercluster for 7 years, but with a unique provision: Coreweave can interrupt Nvidia's rental for 2 months at a time if a smaller customer wants the compute. This lets small AI startups who can't afford billions to build clusters rent short-term access, and if those startups succeed, they'll likely return to Coreweave for larger builds.

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Where this transcript pushes against consensus

  • The reasoning that CoreWeave/Nvidia financing is not circular is asserted strongly, but the distinction depends on future revenue and ecosystem dominance rather than present cash-flow clarity.
  • The claim that CoreWeave’s debt is acceptable because of scale is plausible, but the transcript offers little hard evidence on interest burden, covenant risk, or stress scenarios.
  • The speaker is very bullish on AI ad monetization and productivity gains, but does not deeply address the risk that pricing power or conversion gains may be slower than expected.
  • His view that home biomarker tests from Hims are unreliable is based on another person’s assertion in the stream, not on direct evidence or data presented here.
  • The argument that AI bubble risk only appears when chip performance stops improving may be too narrow; valuations and capital intensity could also matter independently.
  • He repeatedly extrapolates strong earnings or growth trajectories for several holdings without giving detailed valuation frameworks or downside cases.

Topics

CoreWeaveNvidia partnershipAI compute demandAI infrastructure financingH100 rental pricesMeta earnings and AI capexSoFi earnings and valuationNubank and DXYShopify and AI productivityReddit advertising growth

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