All-In

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.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Open-source token usage flipped from 20% to 80% in 12 weeks; if more than 60–70% of frontier tokens are replaceable, Anthropic’s S-1 revenue must be discounted.Meta’s free Muse hit #1 in the App Store with 3M downloads in roughly 10 days, challenging the App Store’s 30% rev-share as agents make services headless.Converging models push OpenAI and Anthropic toward higher-value applications, while their six-to-12-month frontier lead remains the central risk.

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.

Adam Foroughi

AppLovin is extending a roughly $50B mobile-gaming ad market, with platform ad spend growing from $11B to about $20B, into e-commerce discovery.Its April 2023 deep-learning model improved advertiser performance and enabled scaling, while roughly $6B in buybacks retired 20–25% of shares after a 92% drawdown.Discovery may expand activity beyond Google Search, but stated 84% EBITDA margins depend on differentiated data, complexity and scale.

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.

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.

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 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.

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.