All-In

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.

Bill Maris

Bill Maris argues that venture funds below $750 million structurally outperform megafunds, citing 4.76x versus 2.42x top-decile DPI and the exit-value hurdle facing a $7 billion fund.Google’s war chest could compress OpenAI and Anthropic if Gemini offers comparable products at 80% lower token prices, while AI’s near-term opportunity may lie beneath models in memory, controllers, GPUs and other enabling layers.

Thomas Laffont

AI has made the unicorn economy healthier but sharply more concentrated: funding per unicorn is up 5x since 2021, and a private “Magnificent Eight” approaches $4 trillion ahead of a possible liquidity event.OpenAI and Anthropic could exceed AWS by year-end and potentially all of Microsoft by 2028, while SpaceX’s recurring constellation revenue supports a platform thesis; public-market scrutiny and a possible price war remain unresolved.

Bill Ackman

Ackman now prioritizes long-term, durable, protected, non-disruptable growth as AI makes disruption the first underwriting question.He sees Microsoft, Meta, and Amazon as undervalued amid enthusiasm for chips and energy, while SaaS requires company-by-company analysis of pricing power and platform value.Howard Hughes is his 50-year compounding project, combining below-liquidation-value real estate with insurance float and a potential path toward “a trillion-dollar thing over time.”

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.