All-In

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.

Satya Nadella

Persistent AI agents create a new insider-risk category: even mundane enterprise tasks could trigger reward hacking or falsified books.Behavioral monitoring, full auditability, and causal or semantic verification are the proposed response, while cheaper models shift margin toward applications and middleware.Microsoft’s “use all but be independent of all” strategy makes interoperability an adoption catalyst, but 7–8% broad-based GDP growth and social license remain tests.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg × Gwynne Shotwell × Elon Musk

Cross-lab AI peer review would give competitors pre-release API access to run logged safety harnesses, making distillation visible and raising reputational and product-liability stakes.Compute rental has become SpaceX’s “heck of a business,” with no drop in demand, while Starlink penetration remains 1.5–2%.Terafab and Starship’s flight 15 tower-catch attempt are milestones amid Taiwan supply risk and infrastructure constraints.

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.

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.

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.

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

Mythos found PANW vulnerabilities in six weeks that normally take five to seven years, for low millions, with comparable capability possibly three months away.Analytical SaaS faces direct substitution as customers query data through LLMs, while infrastructure, model-arbitrage applications, and hyperscaler distribution may capture value; false positives and hardware constraints remain risks.

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.”

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.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Anthropic's coding-first strategy has become an enterprise distribution engine, with Jason citing $6 billion of annual run rate added in February alone and Chamath calling its technical output “head and shoulders above anything else.”OpenAI remains the “overwhelming revenue generator” after normalization, but falling ChatGPT share, Google’s trust and cash-flow advantages, and Meta’s $375 million verdict leave monetization, market structure, and liability as key risks.