How to Avoid the Big 7 Trap

Source Domain: www.finews.com

Artificial intelligence has become the defining investment theme of this cycle. Capital is flowing into the sector at scale, and a small group of listed technology companies is absorbing a disproportionate share of that inflow.

In its latest market overview, Hamilton Lane, a U.S.-based private markets investment firm (with a Swiss sales office) overseeing more than $900 billion in assets for institutional clients, describes AI as «the only investment question you need to answer». At the same time, the report raises a more practical issue: how to translate that exposure into returns in a market where access itself is unevenly distributed.

The «OpenAI trap»

While the report does not use the term, its argument points to a dynamic that could be described as an «OpenAI trap»: a large amount of capital converging on a limited number of highly visible AI companies, often clustered among a handful of dominant technology players, many of which remain private or are already valued at scale.

For public market investors, this often translates into indirect exposure through a handful of large-cap stocks. For private investors, it can mean competing for allocations in oversubscribed funding rounds at elevated valuations.

In both cases, the challenge is similar: access is constrained, and the price of entry reflects that.

Concentration in public markets

According to Hamilton Lane, AI exposure in public markets is highly concentrated. Index-based investors, in particular, are increasingly reliant on a small number of companies — and technologies — to capture what is often presented as the AI theme.

This concentration has supported strong performance. At the same time, the report suggests that it limits diversification and may reduce the scope for differentiated returns as more capital targets the same assets.

Where value is created

Hamilton Lane points to private markets as a broader access point. Venture capital and growth equity strategies invest across…

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