AI-Driven Portfolio Architecture: A Macro Framework in Action

The writer shares their personal portfolio architecture as an example of how to apply a macro framework to actual positions. The framework consists of three layers, each representing a different aspect of the current market.

Layer one represents Infrastructure Certainty, which accounts for 60% of the portfolio. This layer includes assets such as NVDA (NVIDIA), MSFT (Microsoft), and AMZN (Amazon). These companies are seen as key players in the development of AI infrastructure, with NVIDIA being a leading provider of GPUs and Microsoft and Amazon providing essential services for enterprise adoption.

The writer also holds Bitcoin in this layer, which serves as digital infrastructure for value transfer. This is seen as a non-sovereign store of value during regime transitions, allowing investors to hedge against potential losses.

In addition to these assets, the portfolio includes copper ETFs, which are seen as essential inputs for AI infrastructure development.

Layer two represents Golden Age Options, accounting for 25% of the portfolio. This layer is focused on industries that will be transformed by AI technology, including healthcare and manufacturing. The writer holds ISRG (Intuitive Surgical) and ROK (Rockwell Automation) in this layer, as they are well-positioned to benefit from the adoption of AI in these sectors.

The writer also has a conditional bet on Ethereum, which is seen as a potential settlement layer for smart contracts and programmable finance. However, this position is considered higher-risk than Bitcoin.

Layer three represents Anti-Fragile Positions, accounting for 15% of the portfolio. This layer includes assets such as gold, cash, and long-term US treasuries, which are seen as essential for surviving potential market downturns.