All-In

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg × Nikesh Arora

Chamath estimates 90% of AI spending is concentrated in 1% of companies, with 80% from unprofitable VC-backed businesses, leaving genuine demand diffusion the key test.France’s 10-year yield has exceeded 5%; Chamath says bond pressure toward 8% could force a reset, while Jason sees no reasonable endgame.

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.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg × Jake Paul × Drew Taggart × Alex Pall

Jake Paul is turning owned attention into distribution and talent infrastructure, citing 138 million Netflix viewers for the Mike Tyson event and 400 MVP fighters.His $100 million Anti Fund and The Chainsmokers’ fund target venture economics, but later tranches priced at two or three times earlier valuations without operating improvement leave realized DPI—not TVPI—as the test of Chamath’s bubble warning.

Luca Ferrari

Bending Spoons converts acquired product-market fit into a repeatable model, using 50+ proprietary tools and an approximately 800-person shared talent base to replace technology foundations.Historically consistent unlevered returns above 25% and debt costing about 9%, fully hedged and maturing in 2031, support the model, while limited customer synergies, competition and replication risk remain watchpoints.

ChatGPT-6 (“Astra ASI”) is rolling out to limited organizations as the panel treats AGI as present, with rivals potentially catching up within “the next 3 or 4 months.”Falling intelligence costs may make non-frontier models commodities, while real revenue fuels 1998-style euphoria; Nvidia’s prospective Hugging Face transaction could bolster open competition through cheaper sovereign compute, with regulation a key risk.

Jason Calacanis × David Sacks × David Friedberg × Brad Gerstner

Google’s infrastructure-first capital shift is coinciding with senior AI departures, while Sacks sees Anthropic and OpenAI forming a premium frontier duopoly as cheaper models pressure weights toward commodity pricing.SpaceX reported $7.8B revenue, up 92% YoY, and Starlink’s cash generation could fund expansion, but the proposed $300B-scale AI buildout leaves financing, spot pricing, and demand sensitivity as key risks.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

A US ban on Chinese open-source models could impose a 50-100x AI input cost premium on domestic developers while failing to stop distillation, creating a policy-driven “token tax.”With models reportedly matching published performance within weeks, 95% of real work may be served by many models, shifting durable value toward applications, clouds, and chips while Anthropic’s $1.5 billion settlement leaves training legality unresolved.

Mark Cuban × Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

The AI bubble’s likely casualties are VCs, funds, and PE firms concentrated in peak-priced private rounds, while infrastructure spending depends on whether token economics and video demand justify today’s buildout.Enterprise implementation remains the bottleneck as agents drift and require forward-deployed talent, but falling build costs are opening bespoke software and IPO-funded acquisition strategies for smaller AI companies.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Anthropic’s Fable 5 pairs benchmark leadership with 30-day retention, profiling, and user-specific downgrades, making access an enterprise-governance risk.Restrictions are pushing Ohalo toward local open models, while power costs rose from roughly $4 billion–$5 billion per gigawatt to $100 billion.May CPI at 4.2% and PPI at 6.5%, plus Iran-driven energy risk and disputed Los Angeles ballot patterns, leave macro and institutional trust unresolved.