All-In

Arvind Krishna × Nikesh Arora

Krishna's 2028, 2029 or 2033 quantum timeline makes cryptographic migration a current spending decision: stolen encrypted data could be decrypted later.He expects open-weight models to capture 75%–90% of tokens, with optimized owned-GPU costs of $1–$2 per million versus $20–$50 externally.Enterprises may consolidate 500–5,000 software vendors into 5–10 platforms, but reliable transaction systems will be harder to replace.

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.

David Friedberg × Ryan Cohen

Ryan Cohen’s eBay thesis pairs $2 billion of cost reduction with live commerce and in-game-item trading, using eBay’s global marketplace and GameStop’s 1,600 stores as complementary infrastructure.The 50% cash, 50% stock bid makes execution and control central to the vote, while eBay’s board resistance, financing questions and the 20% meeting threshold remain key unresolved catalysts.

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.

Brad Gerstner × Gavin Baker × Kelly Rodriques × Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Private-company secondaries have become a third exit market, with 2025 volume roughly twice the 2021 peak and activity equal to 31% of primary venture activity.Forge’s Schwab partnership could distribute private equity to millions of investors through regulated products, while longer private lifecycles, double-fee SPVs and valuation compression make governance, pricing and liquidity worth monitoring.