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. 043 - The Midterms and the 2028 Datacenter Buildout (Datacenters)
Jordan NanosMaya BarkinWayne MaJeremie Eliahou Ontiveros
Roughly three-quarters of 2027 capacity in the top 20 US states is under construction, supporting the 50-plus GW global forecast; most of 2028’s 62 GW remains unstarted.Texas, nearly 30% of 2028 additions, now includes on-site power in its permit freeze; an Abbott win could allow a December restart, while his Democratic opponent’s conditions could add five to nine months.
Ep. 033 - 300 Data Center Bans, 3 Projects Delayed: Moratoriums Explained (Datacenter, Energy)
Maya BarkinReyk KnühtsenJordan NanosJeremie Eliahou Ontiveros
Mapping 400+ local instruments against 3,500 projects finds 300+ moratoriums but only three projects actively affected: AWS, NorthPoint, and CoreSite.Roughly 80% of live restrictions have no capacity behind them, leaving the forecast unchanged and making behind-the-meter power more attractive; New York delays roughly 800MW by 6–10 months, while an off-grid-blocking Texas-scale ban is key risk.
Ep. 026 - PJM's $12B Modeling Mistake Is Hitting Ratepayers Again (Datacenter, Energy)
PJM’s capacity-auction modeling—not data-center demand alone—is estimated to have made $12B of the $63B spent across its last four auctions avoidable.Constrained supply, “endless summer” demand assumptions, and pay-as-clear pricing amplify marginal scarcity across 66 million people, while a September or October emergency auction could commit up to $21B through 2042–43 if data-center load fails to arrive.



