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.

Molly O'Shea × Lior Susan

Eclipse is targeting the physical economy—about 85% of global GDP, or $100 trillion—where deglobalization, supply-chain vulnerability, government support, and customer demand are reopening neglected opportunities.With about $12.5 billion in AUM, roughly 90 portfolio companies, and 30 it helped build, its operators-with-capital model links CapEx, manufacturing, policy, and systems execution, while its free-cash-flow focus and non-formulaic incubation leave execution, timing, and repeatability as key variables.

Harry Stebbings

NVIDIA delivered a record $96.2B quarter and guided to 70% growth for the fiscal year ending January 2028, with end-user demand and share loss the key risks.The reported near-$12.9B Hugging Face deal, not finalized or confirmed, would reinforce open-source compute economics and NVIDIA’s push to win every segment.Agents are becoming software buyers, supporting the cases for Clay at $7B and Linear at $2.5B, while cyber exposure and reward hacking remain unresolved.

Michael Marks × Lip-Bu Tan

Marks identifies Intel as the only US-based company able to make leading-edge chips at scale, as semiconductor demand grows and US chip companies hold a majority of global share.Tan’s vertical-integration plan connects products, advanced packaging, foundry, and software, while memory re-entry and execution across products and foundry remain unresolved.

Patrick O'Shaughnessy × Eric Vishria

AI is likely to produce an oligopoly plus $100B specialists, not a single winner-take-all lab, while Fireworks shows inference’s hidden moat: roughly 5X speed and multiple-X throughput on the same models and NVIDIA hardware.SaaS incumbents now face “Get to AI or be worth three times revenue,” as migration becomes easier and cost, iteration speed, and transportability matter more, with energy—especially China’s roughly tenfold buildout next year—the key constraint.

Harry Stebbings

OpenAI’s proposed 5% stake for the US government exposes a new permission economy, as Fable 5’s 19-day ban ended with pre-approval discussions still unresolved.The debate sits alongside late-cycle signals: Nvidia recognizes hardware revenue with put-back rights while Meta sells excess compute, leaving demand diffusion and downside management as key risks.

David Senra × Jonathan Ross

Groq’s rumored $20B NVIDIA partnership moved from first call to money in the bank in about three weeks, after Jensen Huang saw its GPU-LPU integration and proposed making it available to all NVIDIA customers.The architecture treats GPUs and LPUs as complements for different bottlenecks, while faster inference can deepen model search and compound across agentic AI, leaving compute scarcity and whether capital still creates advantage worth monitoring.

Everett Randle × Molly O'Shea

AI is breaking the spreadsheet playbook: billion-dollar businesses can still lack unit economics or durable differentiation, and scale may increase impairment risk.Inference monetization can drive revenue from 1 to 30 to 300, while agents shift purchases toward intelligence or economic output.Frontier labs retain pricing power if recursive self-improvement works, but face a 95%-as-good open-source squeeze if capabilities plateau.

Harry Stebbings

DeepSeek’s $7.4B Series A at a $50B valuation, with the founder committing roughly 40% and investors receiving no rights, frames open source as state-backed competition.Open source is about 5x cheaper and targets the number-three closed model, while $750B of annual capex requires replacing roughly 7-8% of US labor with tokens; 2027 is the ROI test.

Harry Stebbings × Aravind Srinivas

Aravind’s headline call is that Micron could surpass Meta in value within 6-12 months because memory remains the bottleneck after prices rose 5x.His broader thesis shifts value from commoditized search and models to orchestration and token value per watt, while power constraints, China’s vertical integration, and a 20-30% DeepSeek-moment risk remain key watchpoints.