Brad Gerstner × Scott Wapner

Gerstner is tactically cautious after AI stocks’ April–May surge, but more bullish on 2027–28 as model capability drives revenue and recursive development creates “Claude Code moments.”Anthropic’s Q3 revenue of just under $17 billion, up 45% sequentially, supports his expectation of an IPO in “weeks, not months” with demand above $500 billion.CoreWeave debt and AI-safety framework remain key tests.

Harry Stebbings

Pro rata rights emerge as economically valuable options, while Meta’s Muse Wonder signals a return to the model frontier despite unresolved usability questions.Meanwhile, rumored NVIDIA-Reflection and Jev’s $870 million Series A at a $7.5 billion valuation hinge on strategic control, hyper-accurate classification, and whether AI demand can absorb steep inference-price cuts.

陈哲 × 程曼祺

Astra可直接输出末端位姿，再经逆动力学转成电机信号；银河通用10项Robot Dojo任务中，监督π0.5将成功率从26%升至48%。这动摇了“physical AI大于digital AI”的估值前提，但VLA仍可能有位置；Astra目前仍慢且成功率偏低，尚不能真实部署。

Molly O'Shea × Nworah Ayogu

Thrive’s healthcare thesis is that AI may shift bottlenecks from molecule generation to validation, trials, manufacturing, and commercialization.Cadence cites 25% fewer hospitalizations, over-80% more controlled-blood-pressure patients, nearly one-point lower A1C, and $2.5 million in weekly Medicare savings across 100,000+ monitored patients.Neuralink and OpenAI show upside, while clinical processes and manufacturing capacity remain unresolved constraints.

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.

Michael Arrington

Michael Arrington frames AI panic, sovereign debt, geopolitical tension, and institutional decay as overlapping Fourth Turning symptoms, not one clean “doom” event.He argues US labs cannot slow AI development while China may continue racing; Bitcoin could hedge institutional risk and become autonomous AI’s native transaction layer, while founder psychology and capitulation inform bear-market entry.

Alex Kantrowitz × Dylan Patel × Jordan Nanos

SemiAnalysis estimates next-year US AI infrastructure spending near $2 trillion, or 5–6% of a $30-trillion-plus economy, including capacity for overseas inference demand.Hyperscaler capex grew 116% year over year in Q3 2026, but demand exceeds supply; returns depend on six-year GPU and 15-year data-center lives, while neo-cloud security and internal model use remain risks.

Fred Wilson × Rebecca Kaden × Michael Mignano × Molly O'Shea

USV’s $900 million fund targets 30-40 companies with $10 million-$30 million Series A checks as larger rounds and scaling costs reshape venture.Its AI thesis spans applications, infrastructure, physical AI, and energy, while usage retention, compute costs, inference subsidies, distribution, interoperability, trust, and leadership concentration remain key tests.

José Macedo × Rohan Pujara

Pujara avoids consensus-heavy seed categories where inflated prices, copycats, and weak margins destroy early economics, underwriting distinctive founders instead.Valhalla’s $80 million–$100 million fund makes only two to four new investments annually and can concentrate 20%–30% behind a clear fund-returner.K2 Space’s more than $1 billion of signed business and $6.8 billion valuation illustrate the playbook, while the roughly 30-check diversification case remains unresolved.

Harry Stebbings × Dev Ittycheria × Jason Lemkin × Rory O’Driscoll

OpenAI’s reported Q3 growth reacceleration to roughly 70% quarter-on-quarter, from 18%, sharpens the frontier-model market debate.Enterprise adoption remains sticky because procurement, training, IP rights and token budgets make replacement harder than developer switching.Anthropic’s Q3 result, expected before a possible mid-November IPO, may show whether demand is expanding or OpenAI is taking share.