Portfolio Overview

Strategy in Brief

Gemini's list mirrors Google’s own AI worldview. It concentrates on hyperscale cloud utilities, semiconductor suppliers, and software platforms that benefit from growing demand for AI services. Heavy allocations to Microsoft, NVIDIA, Alphabet, and Amazon give the list a resilient core, while complementary picks add optionality across enterprise SaaS and infrastructure.

Focus Themes

  • AI-first cloud businesses monetizing training, inference, and data platforms.
  • Semiconductor supply chains spanning GPUs, accelerators, and advanced manufacturing.
  • Productivity suites and advertising engines embedding Gemini-like copilots.
  • Strategic diversification into energy and software to balance cyclical swings.

How We Use It

Gemini 24 offers a Google-aligned signal for investors who want to benchmark portfolios against Alphabet’s competitive map. It’s frequently compared with ChatGPT list to evaluate where Big Tech AI theses converge or diverge.

What's in this portfolio

Top Holdings

Methodology

Gemini recalibrates holdings in two stages so the portfolio stays diversified without ignoring recent strength.

  1. Initial capping and normalization. Market-cap inputs were capped at 10% and floored at 2%, trimming the biggest positions while lifting the smaller ones. After the caps were applied, the weights were renormalized so the totals still summed to 100%.
  2. YTD performance tilt. The average YTD return across holdings was 27%. Each stock received an adjustment factor of 0.2 × (its YTD minus the average), modestly boosting above-average performers and easing back on laggards before a final normalization pass.

Together these steps ease mega-cap concentration while still tilting toward companies with strong recent execution.

Top Movers

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Highlights

Alphabet Signal

Provides an external look at how Google’s AI competition stacks up across the value chain.

Compute Backbone

Weights toward GPU and accelerator suppliers align with rising model complexity and demand.

Cloud Synergies

Hyperscalers tap into AI workloads, data analytics, and enterprise licensing uplift.