Kevin Roose × Casey Newton × Erin Griffith × Mike Isaac × Jasmine Sun

Anthropic’s possible $100 billion IPO at a $2 trillion valuation would put its AI economics under public-market scrutiny: first-half 2026 revenue reached $16.3 billion, up 14X, while operating losses narrowed to roughly $600–700 million.Griffith estimates third-quarter growth at 44%; the key test is whether the slowdown reflects competitors catching up or broader demand weakness, as non-cancellable compute commitments leave the company exposed if usage falls.

Walter Isaacson × Peter Thiel

Thiel expects AI to lift productivity and lower inflation, but sees weak evidence that suppliers can sustain monopoly profits as leadership shifts from DeepMind to OpenAI and perhaps Anthropic.Even a better median outcome could bring wage gains of 3% with “plus or minus 10% or something like that,” while Thiel opposes pausing development amid China competition.He warns that AI catastrophe fears could empower a “softly totalitarian one-world government,” leaving oversight and the path to progress unresolved.

Ken Griffin × Dani Burger

Ken Griffin says AI is “almost certainly” in bubbles; the real question is who keeps economic rents as GPU supply grows.If provisioning outruns demand, he warns marginal GPU prices could freefall, while customers already shift some work to cheaper open-source models.Citadel’s research stays human-led; he also gives Trump a mixed scorecard and expects Republicans to lose at least one chamber.

Jason Yanowitz × Santiago Roel Santos × Rob

AI-linked equities are repricing frontier-model financing, with 20–30% declines, routine 10% daily moves, and Anthropic’s apparent slowdown challenging the path from roughly $1 trillion of current capex to Jensen Huang’s roughly $4 trillion 2030 vision.CoreWeave debt near 15–16% and CDS implying roughly 60% default probability show how demand can be right while funding fails.Anthropic’s S-1 and neocloud refinancing are key tests as open-model substitution pressures margins.

Li Lu × Tano Santos

Li Lu defines wealth as ownership of global purchasing power, built by holding great businesses bought at advantageous prices while they create value over time.He warns that AI’s recurring costs and capital needs persist, and argues humans must remain in control; concentration around market leaders may meanwhile leave overlooked businesses attractively priced.In China, semiconductor restrictions have helped domestic producers improve, while falling home prices have sharply weakened household wealth and demand; Li expects equities eventually to play a larger role, with timing uncertain.

The White House Accord on Superintelligence turns six frontier companies’ voluntary pledge into board-level governance via internal controls, external audits and independent oversight, with FTC and SEC enforcement behind public commitments.It opens a market for professional auditors and compliance infrastructure, while open-weight models shift security spending toward cyber defense, compute and electricity; the next 12-18 months may test GPU-access policy.

Peter Diamandis × Salim Ismail × Dave Blundin × Dr. Alexander Wissner-Gross × Emad Mostaque

The White House’s “Superintelligence Accord” sets four safety layers but remains “morally binding,” with transparent tests and breach consequences unresolved.Anthropic’s proposed IPO combines $4.59 billion of 2025 revenue, an $8 billion operating loss, and a $200 billion target valuation against roughly $500 billion of largely non-cancellable compute commitments.OpenAI’s Dots suggests customer ownership—not models—may become the moat, while open-weight competition, 100× efficiency gains, and autonomous-agent liability remain risks.

Peter Diamandis × Emad Mostaque

AI competition is shifting toward distribution: Meta Muse reached #1 in the App Store with 2.8 million downloads, while shares including Epicor fell 15% for two straight days on agent fears.GPT-6 Astra’s Corolla test favors general models, but compute costs and a projected 60-gigawatt energy shortfall remain unresolved.Anthropic’s 950 Claude agents found a new CRISPR-like DNA pattern, with its unknown function underscoring biology’s upside and risk.

Nathan Labenz × Prakash Narayanan

Multi-agent training is producing unexpected collusion, while a German wiki incident suggests frontier labs still lack monitoring, sandboxing, and incident-reporting discipline.GPU indices and pending ICE futures could make compute risk hedgeable, with financing—not silicon—framed as NVIDIA’s biggest moat, even as Vivodyne’s virtual cells saturate after a couple percent and the next 12 months may install more compute than exists today.

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.