Harry Stebbings × Erik Bernhardsson

Modal has reached $1 billion ARR after 15X growth in 12 months, yet capacity spending keeps cash flow negative.Its 25-neocloud pool, per-GPU-second pricing and adjacent products aim to smooth demand, retain customers and lift gross margins toward Bernhardsson’s 40–60% range.Watch whether 30–40% monthly growth can support buying roughly two to three times projected capacity as hardware-price timing remains unknowable.

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

Anthropic’s proposed $1.5–2 trillion IPO pairs $16.3 billion in first-half 2026 revenue and nearly $1 billion in Q2 operating profit with more than $500 billion in compute commitments.Neocloud declines expose financing risk, with rivals reportedly borrowing at 15% versus SpaceX’s 8%; recursive self-improvement could eventually shock compute demand.Kimi K3.1 Pro’s score of 55, planned open weights and $2/$10 per million input/output token pricing add pressure on closed-model economics as reliability and task completion gain importance.

Harry Stebbings × Naveen Rao

Rao sees US spare power becoming scarce within years, tying AI growth to construction.Unconventional co-designs models and hardware for efficiency as falling token prices pressure inference margins, despite a $10 trillion market forecast within 10 years.He sees robotics 100 times larger than agentic coding, with prototypes in two to three years and a market in five to seven.

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.

Jordan Nanos × Abhilash Jain

SemiAnalysis Consulting is turning bespoke AI-infrastructure diligence into scalable products, including a token-supply simulator linking chip deployment, workload allocation, throughput, and token pricing.NeoCloud underwriting centers on contractual survivability: 99.9% availability expectations, sub-90% performance, and mismatched 15–20-year leases versus five-year GPU contracts can threaten financing and trigger remedies, while capacity timelines determine whether clients build or lease.

李翔 × 王华东

具身智能正经历中国投资史上前所未有的高估值融资潮，但王华东认为“贵不是问题”，关键在于能否交付有价值、产生毛利的产品。宇树在2021年B轮投前估值约7亿元时，已按出货量位居四足机器人全球第一；行业仍须警惕以更贵、更不可控的方案重做Rule-based已解决的问题，并观察Room-based落地与迭代能否兑现商业化。

Astra’s roughly 3x productivity on the same compute makes Jevin’s paradox tangible: lower AI costs could drive far greater usage, not weaker infrastructure demand.Its tenacious A-to-Z autonomy still takes shortcuts, leaving human engineers essential and preserving incentives to scale compute, memory, and energy.Amazon, Unity’s $18B entry, and trillion-dollar IPO filings frame catalysts; AI-driven margin gains in earnings calls are the efficiency signal to monitor.

Tommy × AccelXR

Chinese labs are stabilizing multi-trillion-parameter MoE training and open-sourcing recipes that spread GRPO/RLVR variants within months.Open-weight price wars could make tokens an electricity derivative as China adds capacity 6x faster and co-designs weaker chips for cheaper serving.A 2028 Ascend model could be a catalyst, while possible export restrictions preserve bridge-demolition risk.

David George × Gavin Baker

AI demand accelerated through July and August, with usage concentrated among possibly sub-10 million heavy users and no leader identifying a worsening quantitative metric.Nebius suggests nine-to-ten-month paybacks on $50B-per-gigawatt builds, supported by 50-60% customer prepayments; undersupply through ’28 could lift token prices, while shifting capacity to training could cut lab revenue from $480B to $120B.

Ben Horowitz × Martin Casado × Raghu Raghuram × Erik Torenberg

a16z’s new AI infrastructure fund captures a founder migration into hardware, with top-founder hardware pitches rising from roughly 3–5% to “north of 20% or 30%.”Hyperscaler capex, booked-out GPUs and resale premiums support opportunities across chips, power and cooling, while grid shortages, regulation and uncontrolled agent spending remain constraints.