All-In

Brad Gerstner

Gerstner argues the rally is earnings-driven, even as semiconductor concentration accounts for 70% of Nasdaq’s return.The AI buildout still depends on lab revenue scaling, while rates, power constraints, regulation and a delayed Anthropic IPO remain key risks.

Jensen Huang × President Trump

Jensen Huang cites failed forecasts on radiology, AI-generated code and entry-level jobs to challenge doomsday narratives, while arguing that AI incidents so far call for root-cause engineering and independent evaluation rather than sweeping regulation.With 80% of AI-native companies receiving $400 billion in recent venture funding using open models, NVIDIA is building infrastructure bottlenecks as Jensen predicts China will reach advanced lithography by 2030, leaving commercialization, lab controls and data-center execution to monitor.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Nvidia’s $96.2B revenue and $60B net profit came with 70% growth guidance versus the Street’s 45%, despite supply constraints.Salesforce’s 20%+ rally on $5.90 adjusted EPS and a $46B guide suggests agents may reinforce horizontal systems of record, while vertical SaaS remains contested.Debt also bears watching: $10T must be refinanced within 12 months at a 5.2% 30-year rate.

Gavin Baker

Anthropic’s reported $2T IPO figure may be banker theater rather than a clearing price, while Gavin Baker and Sacks estimate 2027 exit ARR at roughly $400–500B, constrained by physical supply.NVIDIA’s $500B financing effort could make GPU compute an asset class and support a capital-light cloud business, while Anthropic’s S-1 will test demand and dark-GPU risk.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

A roughly 3.5-times-levered public book was margin-called as semiconductor stocks fell more than 20%, showing leverage can break the trade before fundamentals do.The correction pits momentum against AI CapEx returns as 5.2% Treasury yields raise the hurdle, while model commoditization and frontier-lab safety incidents remain key risks to monitor.

Jason Calacanis × Pat Gelsinger × Anton Osika

Pat Gelsinger attributes Intel’s decline to replacing technical leadership with spreadsheet-driven capital allocation, while Apple, Nvidia and TSMC compounded patient capability-building into durable platforms.The semiconductor recovery remains exposed to Taiwan’s energy dependence, even as AI’s long runway is constrained by electricity; Lovable meanwhile reports production-scale adoption, with defensibility shifting toward orchestration, security, operational data and user feedback.

Gavin Baker × Travis Kalanick

Mamdani-backed challengers swept three safe Democratic New York districts despite Polymarket assigning only a 26% chance, demonstrating the DSA’s organizational leverage.The panel linked socialism’s momentum to housing, debt, inflation, and downward mobility, while GLM 5.2 brought a 744-billion-parameter, MIT-licensed model near the coding frontier at 85% lower cost than GPT 5.5.Open weights may shift value from frontier labs toward chips, memory, hosting, and routing, as Micron’s sold-out HBM supply makes DRAM and power the immediate constraints.

Gavin Baker × Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

SpaceX’s proposed $75 billion raise at a $1.75 trillion valuation pairs Starlink’s $11.4 billion revenue and $4.4 billion operating income with terrestrial data centers potentially reaching $100-$200 billion by 2030-32.Nvidia’s $81.6 billion quarter and Anthropic’s profitability strengthen the AI case, but rival ASICs still lack comparable MLPerf tests while rising yields, 310% global debt-to-GDP, and uncertain regulation remain risks.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Elon’s reported lease of Colossus 1 gives Anthropic more than 220,000 NVIDIA GPUs and 300 MW, turning compute scarcity into hyperscaler revenue while xAI moves to Colossus 2.Anthropic’s rapid ARR growth and hyperscaler demand support the AI infrastructure trade, but OpenAI, Google and xAI are responding; monitor whether enterprise buyers prove measurable ROI within roughly 500 days and whether cyber regulation remains targeted.

Travis Kalanick × Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

OpenAI's enterprise growth is described at 3–4X annually versus Anthropic's roughly 10X, while metered coding tokens scale faster than consumer plans limited by perhaps 3–4% premium conversion.Frontier compute is becoming an infrastructure war—Colossus targets 555,000 GPUs—while power and permits threaten roughly 100 contested data centers worth $162 billion; near-record valuation measures and unproven enterprise profits remain key risks.