AI investment concentration creates systemic risks across global portfolios

The rapid expansion of artificial intelligence (AI) is creating significant concentration risks across global investment portfolios. An Invesco survey of 144 institutions, including 90 sovereign wealth funds, revealed that 52% of sovereign wealth funds identify market concentration driven by AI as their largest portfolio risk.

This concentration spans multiple asset classes. In the equity market, Goldman Sachs estimates that AI-related sectors, including semiconductor companies and hyperscalers, could drive approximately 40% of S&P 500 earnings growth by 2026. The risk extends to fixed income, where Apollo reports that 49% of net corporate bond issuances in the US this year are AI-related. In the private markets, AI accounted for 86% of US venture capital investment in the first half of the year, with a massive portion of funds concentrated in just three companies: OpenAI, Anthropic, and xAI.

As AI exposure spreads from software to cloud computing, semiconductors, and power infrastructure, the traditional principle of diversification is being challenged. Investors moving from stocks to bonds or private equity may still find themselves heavily exposed to the same underlying AI-driven risks. While some suggest Bitcoin as a potential non-correlated diversifier, there is currently no confirmed evidence of significant institutional capital shifting to Bitcoin to mitigate these specific AI-related risks.