
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
Questioned whether SoftBank can finance full Stargate US commitment
Data Centres: Boom and Backlash: Stargate US: $500B headline, 1.2 GW operationalGE Vernova gas backlog hits 80 GW into 2029
Data Centres: Boom and Backlash- What did SemiAnalysis say about Stargate funding?
- SemiAnalysis argued in January 2025 that of the $500 billion Stargate headline, only the first $10 billion had actually been committed at the time of announcement. The remainder was a ten-year projection contingent on future capital raises.Source: SemiAnalysis
- Who runs SemiAnalysis?
- SemiAnalysis was founded by Dylan Patel and operates as an independent subscription research firm specialising in semiconductor supply chains and AI infrastructure economics.Source: SemiAnalysis
- Is SemiAnalysis reliable for data centre analysis?
- SemiAnalysis uses supply-chain data, equipment tracking, and financial modelling to produce independent bottom-up estimates. It has no investment bank conflicts, which gives its analysis credibility; it has been widely cited in coverage of hyperscaler capex and AI infrastructure constraints.Source: Lowdown data-centres briefing
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.