AI Risks Penetrate Multiple Asset Classes, Leaving Pension Funds and Sovereign Wealth Funds Grappling With How to Avoid AI-Related Risks

Beating AI Express (from Dongcha) reports that the AI wave is disrupting the traditional asset diversification logic of pension funds and sovereign wealth funds, with risks spreading from tech stocks to private equity, corporate bonds, infrastructure and other sectors, prompting institutional investors to reassess their overall portfolio AI exposure. Goldman Sachs estimates that AI infrastructure-related companies account for around 40% of the total market capitalization of the S&P 500. Apollo data shows that this year, AI-related issuances make up nearly half of investment-grade bond issuance and 87% of venture capital funding. Monte Tarbox, chief investment officer of the New York City Retirement Systems, recently even rejected a private equity fund’s capital-raising request due to its overexposure to AI holdings. A key challenge facing institutions now is the lack of a unified standard for measuring AI exposure. The Los Angeles County Employees Retirement Association (LACERA) estimates that 8% to 19% of its holdings are AI-related. Invesco’s survey of 90 sovereign wealth funds found that more than half list market concentration as the top risk of AI investments. To address AI risks, some large institutions are adopting the "Total Portfolio Approach (TPA)", breaking down barriers between asset classes such as stocks, bonds, private equity and infrastructure to track overall AI-related exposure and inter-asset correlations. At the same time, some institutions are using AI tools to monitor their own portfolios, avoiding excessive concentration risks while chasing AI gains.