Ever since the launch of OpenAI’s ChatGPT late in 2022,there has been a growing layer to valuations of those big tech stocks most engaged in artificial intelligence that reflects the perceived potential of AI to transform industries and economies.
Nvidia,as the dominant provider of the AI chips used to train the large language models that underpin AI applications –it has a market share of more than 80 per cent – is the bellwether stock for the potential AI revolution. Its result,and foreshadowing of more to come,was a validation for those convinced AI will deliver massive gains for those companies best positioned to exploit it.
If AI is as transformative as its most ardent true believers claim,trillions of dollars will have to be spent on the infrastructure to support its widespread deployment and trillions more by companies to take advantage of it.
Nvidia,whose dominance of the advanced chips used in video gaming provided it with a massive first-mover advantage,has been able to translate that sector leadership into dramatic increases in revenue and massive margins.
That advantage,however,may not be permanent.
The cost of Nvidia’s chips,and the tightness of supply – Nvidia can’t produce the chips fast enough to meet the growth in demand,hence its massive margins – is providing incentives for competitors like AMD and Intel and customers like Microsoft,Amazon,OpenAI and Google to develop their own chips. They are each spending billions to do so.
Anything other than a smooth transition to the AI era priced in could have unpleasant consequences for investors.
Moreover,most of the focus on AI to date has been on the training of the large language models that could be regarded as the infrastructure for AI. The next phase in AI’s development – and the next generation of chips required – will be is using those models to solve problems.
The chips needed for what is described by the sector as “AI inference” are less complex and cheaper to produce than those that have given Nvidia its dominance,although Nvidia has said that about 40 per cent of the data centre revenue that powered its December quarter performance came from AI inference.
Even if it is in a leadership position for those chips today,it will face a lot more competition from competitors both very large and start-ups and that will erode some of its margins and its growth rate.
If the pie is big enough – if AI does produce profound changes in industries and economies – then distributing smaller slices more widely shouldn’t undermine a market whose levels rest on the capitalisation of the early impacts of AI on those that will provide its infrastructure.
As Nvidia’s Jensen Huang said last week,a whole new industry and a new way of computing is being formed. There ought to be vast amounts of value to share.
What we don’t know,and what will only be known with hindsight,is if investors have factored in too much of that prospective value too early and then inflated their valuations further with an assumption that today’s relatively high-interest rate environment will be displaced by a low-rate environment the very near future. (Valuations that are predicated on long-term growth assumptions,as is usually the case with the mega techs,are acutely sensitive to changes to interest rates.)
Anything other than a smooth transition to the AI era priced in could have unpleasant consequences for investors.
There have been a lot of references to the “Nifty Fifty” sharemarket boom of the 1960s (regarded as a better comparator than the dot-com bubble) in commentary of the Nvidia phenomenon.
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Dizzy multiples of earnings were applied to a big cohort of largely established and solidly profitable consumer product companies. Their share prices soared – and then plunged when inflation and interest rates rose.
Many of the Nifty Fifty and their investors were badly hit by a 60 per cent plunge in their collective value in the early to mid-1970s even though the core of the cohort – companies ike Coca-Cola,Proctor and Gamble,McDonald’s,IBM and Walt Disney – while dumped by investors during the 1970s sell-off,have,over the past half century,more than validated the growth assumptions embedded in the multiplies of earnings awarded to them in the late 1960s.
Timing,and external circumstances,play large roles in performance of participants in financial markets. AI,and Nvidia,look like glittering growth stories but how that growth should be valued today is not only in the eye of the beholder but hostage to both the way the AI story unfolds and the evolution of the macroeconomic settings along the way.
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