Jordan Nanos

Jordan Nanos × Jeremie Ontiveros × Reyk Knuhtsen

SemiAnalysis raised its 2027 data-center forecast from 43 GW to 50 GW, citing building-level tracking against expectations near 25 GW.More than $1 trillion in signed leases and modular builds, with DayOne timelines around nine months versus 18 months traditionally, support delivery; delays and gradual ramps are already modeled.Power remains constrained, while potential data-center oversupply entering 2028 is Jeremie’s main risk, not a formal forecast.

Jordan Nanos × Jeremie Ontiveros × Reyk Knuhtsen

SemiAnalysis is raising its 2027 data-center forecast from 43GW to roughly 50GW, citing building-by-building tracking, over $1 trillion in signed leases, and self-build starts rising quarter after quarter.Cited modular builds can compress traditional 18-month timelines to 6–9 months, but the team warns the constraint could flip to data-center oversupply in 2028 as chip supply expands.

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.

Dan Nishball × Jordan Nanos

SemiAnalysis estimates $11.3 trillion in cumulative AI IT and data-center CapEx for 2024-29, implying roughly $7 trillion of debt by 2029 and $1 trillion of net funding this year.Hyperscaler and NVIDIA backstops, five-year offtakes, and frontier API gross margins near 90% could support financing, but lenders still face residual-value, churn, and execution risks.

Jordan Nanos × Doug O'Laughlin × Max Kan × Joey Brookhart

“Pacing” would slow Anthropic’s capability progress without halting training or compute purchases, potentially weakening its strongest internal model.Near-term scarcity and safety workloads keep compute demand elevated, while semiconductor signals increasingly depend on frontier-lab ARR and capacity premiums.Bank hacks, data leaks, or AI-assisted biological attacks could accelerate regulation.

Jeremie Eliahou Ontiveros × Reyk Knuhtsen × Jordan Nanos

SemiAnalysis argues SpaceX could bring 10 GW of AI capacity online in 2027, selling scarce “emergency megawatts” for roughly $50 million per MW-year.Modeled frontier inference near $100 million per MW-year could repay GPUs in under a year and make NVIDIA financing plausible.Microsoft’s late-2027–28 capacity gap supports demand, while permitting, chips, uptime and political restrictions remain risks.

Jon Y × Doug O'Laughlin × Jordan Nanos

Google’s talent drain, including Jeff Dean, John Jumper, Noam Shazeer, and David Silver, raises questions about whether system-level judgment can be replaced by more compute.The risk is execution, not earnings: Google may remain highly profitable and strong in TPUs while quietly losing frontier-model leadership, as agentic coding accelerates demand for bespoke software and Terafab faces a heroic physical ramp.

Dan Nishball × Zane Fong × Kang Wen Cheang × Jordan Nanos

AI infrastructure’s bottleneck is shifting to balance-sheet capacity: $11 trillion of 2024-2029 capex could require roughly $7.1 trillion of funding, while five-year hyperscaler offtake excludes short-duration demand.NVIDIA’s GB300 backstop makes neocloud capacity lendable by flooring cash flow, but selects repeat buyers and ties NCP access to its stack; rapid GPU depreciation and utilization gaps remain the underwriting risk.

Jordan Nanos × Jeremie Eliahou Ontiveros × Joey Brookhart × Crystal Huang

AWS’s margins are rising while it adds more than a gigawatt of capacity per quarter, signaling a shift toward higher-margin Bedrock token sales.Claude represents an estimated 80%-93% of Bedrock usage, while Anthropic’s API-led growth reaches $47 billion ARR.Whether this operating leverage survives stabilized utilization, coding-token cuts, and the SpaceX/xAI capacity deal remains the key risk.

Chaim Eisenberg × Simi Sherman × Jordan Nanos

ChipBook’s Taiwanese conventional DRAM inventory signal preceded 11 or 12 consecutive monthly declines, shifting the team from cycle discovery toward exit timing.Provincial WFE imports also challenged repeated 20-25% China guidance, while Photronics (PLAB)’s photomask mosaic linked design confidentiality to a stock that “doubled.”Tracking granular shipments, inventories, and supply-chain shifts can surface questions before company prints, but helium sourcing, smartphone relocation, and TSMC’s geopolitical exposure remain unresolved.