All-In

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

Chamath estimates 90% of AI spending is concentrated in 1% of companies, with 80% from unprofitable VC-backed businesses, leaving genuine demand diffusion the key test.France’s 10-year yield has exceeded 5%; Chamath says bond pressure toward 8% could force a reset, while Jason sees no reasonable endgame.

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.

Dylan Field

As app supply grows exponentially while people use the same number of apps, Field sees cheaper code shifting differentiation toward design and branding.Figma is cited at 48% year-over-year growth and accelerating, while Field says Claude Design has not affected the business.Field argues model progress is not product progress: AI lowers barriers, but people raise the creative ceiling.

Ben Horowitz

CoreWeave’s 953-basis-point CDS implies 16% annual default risk; fixed-price contracts and $35 billion more to raise leave Chamath’s team estimating a $5 billion break-even gap.Sacks sees demand holding, but financing costs remain a risk; Chamath urges Anthropic to raise at least $200 billion for compute, with SemiAnalysis estimating it and OpenAI will take 60% of next year’s global additions.

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.

Chamath Palihapitiya × Jason Calacanis × David Sacks × David Friedberg

Anthropic’s outreach to roughly 20 religious leaders and Claude Constitution turn model consciousness, welfare and refusal behavior into a governance risk.OpenAI’s 700-plus papers reportedly averaged under three hours of compute per result, strengthening the machine-reasoning signal while cryptography concerns remain speculation rather than evidence.France’s 10-year yield above 5% and €43 billion austerity sharpen relative sovereign-risk concerns, while transactional agents could erode conventional software moats.

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.

Daniel Ek

Spotify passed 700 million active users and 300 million premium subscribers; Daniel Ek became executive chairman January 1 and returned to building.Neko's $499 unit-economic-positive visit combines 53 blood markers, 6,000 images and clinician review in roughly an hour.Over 100,000 scans found serious, previously undiagnosed conditions in roughly 1% of members; population outcomes and budget effects remain unresolved.

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.

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.