
SemiAnalysis
US-based semiconductor and AI infrastructure analysis firm; primary source on hyperscaler commissioning timelines and chip allocation.
Last refreshed: 26 April 2026 · Appears in 1 active topic
Is SemiAnalysis right that only $10B of the $500B Stargate pledge is actually committed?
Timeline for SemiAnalysis
Mentioned in: Chevron builds Microsoft a gas plant
Data Centres: Boom and BacklashMentioned in: TSMC ships gear to Dresden fab for 2027
European Tech SovereigntyMentioned in: NVIDIA networking up 199%, chips up 77%
Data Centres: Boom and BacklashMentioned in: OpenAI cuts compute target by $800bn
Data Centres: Boom and BacklashMentioned in: Texas grid queue hits 410 GW
Data Centres: Boom and BacklashWhat did SemiAnalysis say about Stargate funding?
Who runs SemiAnalysis?
Is SemiAnalysis reliable for data centre analysis?
Background
SemiAnalysis is an independent research firm founded by Dylan Patel specialising in semiconductor supply chains and AI infrastructure economics. In January 2025 it published analysis challenging the $500 billion Stargate headline, arguing only the first $10 billion had been committed at announcement and that the broader figure was a ten-year projection contingent on capital raises that had not closed. That analysis shaped how technology journalists and investors interrogated the Stargate announcement and became a reference point in subsequent coverage of Stargate's build progress.
SemiAnalysis's methodology combines supply-chain data, equipment tracking, and financial modelling to produce bottom-up estimates of AI infrastructure scale. Patel and the firm have become influential voices in debates about whether hyperscaler capex announcements reflect actual build intent or financial signalling. The firm's reporting on GE Vernova's turbine backlog and the structural constraints on AI infrastructure expansion has been widely cited.
As an independent subscription research outfit, SemiAnalysis does not have the institutional conflicts of investment bank research, which gives its analysis particular credibility in markets where primary data is difficult to obtain.