As artificial intelligence models become more sophisticated, asset owners and managers are rethinking portfolio construction as an activity sitting at the nexus of human and machine, which means gaining an edge over the market increasingly needs investors to tap into the wisdom from both sources.
Tokenisation of traditional assets will lead to a boom in on-chain trading, and that in turn opens the door to AI-agentic trading. But there are risks that AI agents may behave in unpredictable ways and, despite the hype surrounding the technology, still produce unexpected investment losses. In these cases, it will typically still be the CIO who bears responsibility – so they’d better understand what their AI agents are up to.
UTIMCO measures its AI exposure via analysis of how investee companies have integrated the technology. It reveals a 5 per cent overweight to AI thanks mostly to hedge fund strategies and infrastructure. Meanwhile, the investor pointed to history to flag a likely reversal to the mean in global equity markets.
An economically fragmented world, where different economic blocs refuse to collaborate, impose tariffs and restrict foreign investments, would have disastrous consequences on the $2.2 trillion portfolio of Norges Bank Investment Management. Its latest stress test offers a rare glimpse into the concrete portfolio impact of deglobalisation.
An investment banking expert has warned the CalPERS board of the risks inherent in AI, emphasising the importance of investors understanding how their exposure to AI is at risk because of Chinese competitors.
The Netherlands' Central Bank has warned the country's pension funds that their €150 billion ($177 billion) investments in tech companies, representing almost 43 per cent of their listed equities portfolios and 8 per cent of their total balance sheet, is at risk from a potential AI bubble.
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