AI exposure spreads across stocks, bonds and venture capital
Artificial intelligence is becoming increasingly prominent across major areas of the financial markets, with AI-linked companies accounting for large shares of equity benchmarks, corporate bond issuance and venture capital funding in 2026.
Data compiled from Goldman Sachs, Apollo, Bloomberg and other market sources shows the scale of the concentration. AI infrastructure-related companies account for about 40 per cent of the S&P 500’s market capitalisation, according to Goldman Sachs estimates cited in recent market analysis.
The exposure extends into emerging markets. Taiwan Semiconductor Manufacturing Company, Samsung Electronics and SK Hynix together represented about 28 per cent of the MSCI Emerging Markets Index by weight in 2026, according to research citing MSCI data. All three companies are closely linked to the semiconductor supply chain supporting AI infrastructure.
Debt markets are showing a similar pattern. Apollo economist Torsten Slok’s analysis put AI-related issuance at 49 per cent of year-to-date net investment-grade bond issuance, while AI accounted for 87 per cent of venture capital funding over the same period. The figures reflect the flow of new capital towards companies and infrastructure associated with artificial intelligence rather than the size of the entire AI economy.
The concentration in venture capital is particularly notable when compared with the late 1990s. Data cited by Slok and subsequently discussed by investors shows that less than 40 per cent of venture capital funding went to internet companies in 1999, compared with 87 per cent directed towards AI-related companies in 2026.
The comparison has prompted debate about whether today’s AI investment cycle bears similarities to the dot-com period. Investor Michael Burry has pointed to the concentration of venture capital and debt issuance as reasons for caution, while other market analysis has highlighted differences between today’s large technology companies and many of the speculative businesses that emerged during the internet boom.
The scale of AI-related borrowing is also changing the relationship between technology companies and credit markets. Research published by Apollo and other market analysts has noted that major technology and cloud companies are raising substantial amounts of debt to help finance the infrastructure required for AI, including data centres and computing capacity.
For investors, the figures point to an issue that extends beyond individual technology shares. The same AI theme can appear through equities, corporate debt, venture capital and semiconductor companies, meaning exposure can be spread across different parts of a portfolio without necessarily providing as much diversification from the underlying AI investment cycle.
Cambridge Associates recently noted that the concentration of AI-linked semiconductor companies in emerging market benchmarks means broad emerging market exposure can increasingly provide exposure to the same AI buildout influencing developed-market equities.
The data does not establish whether the current AI investment cycle will follow the path of the dot-com boom. It does, however, show how deeply AI-related companies and infrastructure are now connected to several major sources of market capital in 2026.
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