Hyperscalers and model labs are the demand side of the compute equation, and the distribution channel for AI capability. Microsoft, Alphabet, Amazon, and Meta each operate model labs, custom silicon programs, and AI-monetized product surfaces in parallel. Oracle is the late entrant betting the company on AI cloud. Salesforce and Palantir are the enterprise-AI ops layer. The trade here is leverage on the compute cycle, not exposure to it.
AI Software & Hyperscale · 1d avg
-0.49%
7 tickers tracked
Signals (three independent reads)
Fund momentum
0
Funds steady — no meaningful 13F changes this quarter.
Sentiment trend (7d)
+2
10 articles · 30% bullish · split.
Canon citations
2
2 bullish from Sequoia, Andreessen.
What the canon says
“The application layer is where the next wave of value will be created. Models commoditize; distribution and product do not.”
Sequoia · bullish
“AI is a force multiplier on human productivity, not a substitute. Software companies that wield it well will compound advantage.”
Andreessen · bullish
Parallel readings, not a composite score. Composite scoring lands in v3 once each signal validates against subsequent moves.
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Top fund exposures to AI Software & Hyperscale
Funds holding the most of this theme
Fund
Positions
% of portfolio
Altimeter CapitalCapital · Compute · Talent. The loudest public voice on the AI-capex bull case.
3
34.9%
Tiger Global ManagementMega-cap AI conviction. Public + private crossover.