AI Slowdown Call Exposes A Hidden Portfolio Risk
Calls to slow AI development exposes a concentration risk hiding in ordinary portfolios, says the CEO of financial advisory giantdeVere Group.
Nigel Green says Monday's sell-off across AI-linked and semiconductor stocks in Asia, Europe and the United States is being read the wrong way by most investors.
The sell-off followed a weekend essay from Anthropic CEO Dario Amodei calling for the industry to slow the pace of AI capability development. OpenAI CEO Sam Altman quickly echoed the call, and other prominent tech figures voiced support within hours.
Nigel Green says the backdrop matters. Days earlier, a prominent AI researcher resigned over safety concerns, and other voices inside the industry warned publicly about the risks of moving too fast.
Markets that had shown little appetite for caution suddenly had a reason to pay attention.
He argues that a slower pace of model development does not erase the earnings assumptions already baked into a large share of this market's recent gains, wherever those gains sit inside an index or a fund.
AdvertisementNigel Green points out that a slower pace of frontier development does not mean falling demand for computing power itself. Even under a more cautious approach, running the AI systems already built still requires far more capacity than the industry can currently supply, a gap that has little to do with how fast new models are released.
He adds that the exposure extends well beyond specialist tech funds. Years of strong returns tied to AI-driven earnings have pushed that exposure into mainstream index trackers, workplace pensions and multi-asset portfolios that were never marketed as a bet on a single technology theme.
Nigel Green says the parallel with previous market cycles, where a handful of dominant growth stories eventually forced a re-rating of an entire market, is impossible to ignore now that AI has become the primary driver of major equity indices.
The difference this time, he says, is how directly ordinary savers are exposed, through the pension funds and workplace schemes that quietly rode the same rally.
Nigel Green says the argument over how fast AI should advance will keep playing out among the people building it. For everyday investors, he argues, the more urgent task is working out exactly how exposed their own portfolio already is, and deciding on purpose whether that exposure still makes sense.
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