Jeremy Grantham of GMO stands out as an indispensable voice in financial commentary, even though I may not align with all of his perspectives. I have just finished reading his latest piece digging into the US stock market, bubbles and AI, real assets, and under-recognized long-term problems.
On another interesting note, another partner wrote that it is far too early to tell if AI is in a bubble. His reasoning comes down to the theory of reflexivity and its application to financial markets, made famous by George Soros. The theory holds that there is a feedback loop where investors’ prevailing biases can validate themselves by not only impacting market prices, but also the fundamentals these market prices are set to reflect.
When we apply this logic to the realm of AI, it seems as though companies have inundated us with their AI strategies for the past 6 months. Given this, it appears probable that the boom in spending on AI initiatives has only just begun, driven by the imperative for every management team to validate their relevance in a world with AI.
Here is a section:
On bubbles and AI, looking backwards, what happened to our 2021 bubble? The Covid stimulus bubble appeared to be bursting conventionally enough in 2022 in the first half of 2022 the S&P declined more than any first half since 1939 when Europe was entering World War II.
Previously in 2021, the market displayed all the classic signs of a bubble peaking: extreme investor euphoria, a rush to IPO and SPAC and highly volatile speculative leaders beginning to fall in early 2021, even as blue chips continued to rise enough to carry the whole market to a handsome gain that year, a feature hitherto unique to the late-stage major bubbles of 1929, 1972, 2000, and now 2021.
This historically familiar pattern was rudely interrupted in December 2022 by the launch of ChatGPT and consequent public awareness of a new transformative technology – AI, which seems likely to be every bit as powerful and world-changing as the internet, and quite possibly much more so.
Every technological revolution like this going back from the internet to telephones, railroads, or canals has been accompanied by early massive hype and a stock market bubble as investors focus on the ultimate possibilities of the technology, pricing most of the very long-term potential immediately into current market prices.
Many such revolutions are in the end often as transformative as those early investors could see and sometimes even more so but only after a substantial period of disappointment during which the initial bubble bursts.
Thus, as the most remarkable example of the tech bubble, Amazon led the speculative market, rising 21 times from the beginning of 1998 to its 1999 peak, only to decline by an almost inconceivable 92% from 2000 to 2002 before inheriting half the retail world!
So it is likely to be with the current AI bubble. But a new bubble within a bubble like this, even one limited to a handful of stocks, is totally unprecedented, so looking at history books may have its limits. But even though, I admit, there is no clear historical analogy to this strange new beast, the best guess is still that this second investment bubble in AI will at least temporarily deflate and probably facilitate a more normal ending to the original bubble, which we paused in December 2022 to admire the AI stocks.