A quick look back at history suggests that speculative bubbles come about as a result of irrational exuberance, often related to a technological breakthrough that promises huge future productivity gains and consequent profits (often far off in the future). The best and most recent example would be the “dot-com” bubble that burst in 2000, leaving in its wake the likes of Pets.com or Boo.com. Earlier examples include the bubble in railway stock prices in the UK in the 1840s and even the South Sea bubble in 1720.
This time around, the transformative technology is artificial intelligence (AI) and the poster child is Nvidia. Its market capitalisation rose above $4 trillion in July – for comparison, the current market capitalisation of the 73 companies comprising the MSCI UK was “only” $3.0 trillion at the end of September. As recently as October 2022, Nvidia was worth $280 billion – its share price has increased over 13 times in this period. Nvidia designs the powerful chips needed for the heavy processing required by AI models and hence have been in high demand by companies such as Meta and Google as they build out their AI capabilities.
These high prices have been accompanied by sky high valuations in US equities (although this is not the case in other regions). The price/earnings ratio (a standard measure of valuation) of the MSCI USA Index of large US companies is currently 28.9x – over the last 30 years it has only been higher in the peak of the dot-com bubble in 1999 when it reached 31.6x and the post COVID rally when it reached 33.6x. For comparison, the average multiple over the past 30 years has been 20.6x, and the lowest level (i.e. the “cheapest” market) was 9.8x in early 2009.
High prices and heady valuations do not necessarily cause concern in and of themselves, but there are other warning signs that the current growth extrapolated around AI is not sustainable. One key red flag is the vendor financing we are starting to see – essentially Nvidia (and others) are lending money to their clients so they can afford to buy their products. They will argue that they are helping to jump-start a market in an early stage, but is it fair to ask whether or not the natural demand would be there if Nvidia weren’t financing it? This is reminiscent of some of the behaviour from the late 1990s.
One final point to consider is the increased participation of retail investors in driving prices higher. Retail investors have become a much larger proportion of the volume in the US stock market, and they tend to focus on “household” brands and companies. We also see a large increase in the use of margin accounts (individuals borrowing to invest in stocks) but also call options on these AI or tech companies which are effectively providing leveraged exposure, a clear warning of excessive speculation. .