Artificial intelligence is starting to challenge the diversification framework long used by pension funds and sovereign wealth funds, as exposure tied to the theme spreads well beyond technology stocks. According to ChainCatcher, institutional investors are now re-evaluating portfolio-wide AI risk across private equity, corporate bonds and infrastructure in addition to listed equities. Goldman Sachs estimates that companies tied to AI infrastructure account for about 40% of the S&P 500’s total market capitalization. Apollo said AI-linked issuance has made up nearly half of this year’s investment-grade bond supply and 87% of venture capital funding. The issue is also affecting allocation decisions. Monte Tarbox, chief investment officer of the New York City Retirement Systems, recently rejected a fundraising request from a private fund because its AI holdings were too concentrated. One obstacle for large allocators is the absence of a common standard for measuring AI exposure. The Los Angeles County Employees Retirement Association estimates that 8% to 19% of its holdings are AI-related, while an Invesco survey of 90 sovereign wealth funds found that more than half ranked market concentration as the top risk in AI investing. Some large institutions are now using a whole-of-portfolio approach and AI tools to monitor exposure and cross-asset correlations.
Artificial intelligence is reshaping how pension funds and sovereign wealth funds think about diversification, with the risk no longer confined to technology stocks. According to ChainCatcher, institutional investors are now reassessing AI exposure across entire portfolios, including private equity, corporate bonds and infrastructure.
Goldman Sachs estimates that AI infrastructure-related companies account for about 40% of the S&P 500’s total market capitalization. Apollo data shows that AI-linked issuance has represented nearly half of investment-grade bond issuance this year and 87% of venture capital funding.
The concentration is already influencing allocation decisions. Monte Tarbox, chief investment officer of the New York City Retirement Systems, recently turned down a fundraising request from a private fund because its AI holdings were too heavy.
Institutions are also dealing with the lack of a unified standard for measuring AI exposure. The Los Angeles County Employees Retirement Association estimates that 8% to 19% of its holdings are related to AI. An Invesco survey covering 90 sovereign wealth funds found that more than half identified market concentration as the primary risk in AI investing.
Some large institutions have started to adopt a whole-portfolio approach, tracking AI-related exposure and correlations across asset classes at the portfolio level. Some are also using AI tools to monitor their own holdings.
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