All-In

Ben Horowitz

CoreWeave’s 953-basis-point CDS implies 16% annual default risk; fixed-price contracts and $35 billion more to raise leave Chamath’s team estimating a $5 billion break-even gap.Sacks sees demand holding, but financing costs remain a risk; Chamath urges Anthropic to raise at least $200 billion for compute, with SemiAnalysis estimating it and OpenAI will take 60% of next year’s global additions.

Martin Shkreli

Shkreli limits quantum’s edge to factoring and elliptic-curve logarithms; current machines lack quantum RAM.He calls industry spending speculative and expects analog optical computing to challenge Nvidia’s H100, B100, and B200 within 20 years.His pharmaceutical thesis favors mispriced discarded molecules; he calls AI drug discovery within five years “nonsense” and expects no AI-related drug in the next 10 years.

Naveen Rao × Chamath Palihapitiya

Unconventional AI taped out a physical dynamical computer five months after starting in earnest, generating images at 500 nanojoules each versus millijoules on a GPU.Its 4D architecture co-locates compute and memory, targeting 1,000× power efficiency as AI demand approaches an energy wall in about 3 years.A rack-scale product is promised within two years, with adoption hinging on model-layer porting and a new Python-based software stack.

Dina Powell McCormick

Meta’s multibillion-dollar Richland Parish project lifted sales-tax growth from 5–10% to a 260% peak and certified employees’ checks from $10,000 to $50,000.Louisiana shifts generation, grid resilience, upgrades and storm costs to Meta; the Academy produced 250 graduates and 90% retention from 40,000 applicants, while Google and BlackRock support scaling amid backlash and Cotton and Warner’s adversary theory.

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.