PERSON DIRECTORY
Jordan Nanos
Jordan Nanos appears in 45 indexed conversations across SemiAnalysis, Big Technology. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
Ep. 044 - Is NVIDIA Over? EMERGENCY Pod with ChinaTalk | Dylan Patel, Jordan Nanos, Jordan Schneider
Jordan NanosDylan PatelJordan Schneider
NVIDIA’s leadership shock has turned alleged chip diversion into an export enforcement crisis, though evidence that Jensen Huang knew remains circumstantial.Patel says U.S.-controlled GPU rentals could preserve a remote cutoff over Chinese compute while earning providers millions per megawatt; Schneider questions whether U.S. frontier labs would gain more value from scarce capacity.The panel supports MATCH restrictions to constrain China’s chipmaking scale, while NVIDIA’s outlook depends on executive retention and Rubin roadmap execution.
Ep. 035 - Tech DD’s, Performance Projections, Supply Chain, Investment Thesis (Consulting)
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.
Ep. 021 - The AI Project Trinity: Capital, Offtake, Data Center (Datacenter, Energy)
Dan NishballZane FongKang Wen CheangJordan 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.
Ep. 020 - Anthropic vs OpenAI Usage, Margins, Meta Compute, Future of MSL (Tokenomics)
CrystalMax KanJoey BrookhartJordan Nanos
Anthropic’s enterprise/API mix is producing operating leverage: over 80% of ARR is API-based, Q2 operating profit was positive, and Q3 could exceed $1 billion.OpenAI’s free-user base weighs on margins, but 5.5 and 5.6 have reportedly restored a two-horse race, while subsidized coding plans and RL environments leave unit economics and capability scaling unresolved.
GPT 5.5 vs Claude 4.7: OpenAI's Comeback From the Brink
Jordan NanosDylan PatelDoug O'LaughlinMax Kan
GPT-5.5 brings OpenAI back into the frontier conversation after Anthropic surpassed it on a like-for-like revenue basis, but Claude 4.7’s quality advantage over 4.6 remains unproven despite a 6x fast-mode premium.Token costs are beginning to pressure heavy users as new tasks drive Jevons-style consumption, while China’s compute constraints widen the open-source gap and revive the CLI-versus-app battle over agent orchestration.




