by Tim Green
•
6 March 2024
After another rip-roaring run of outperformance for artificial intelligence (AI)-related stocks on Monday 4 March, with Nvidia’s share price scaling new heights, the US market opened on Tuesday with a severe bout of indigestion from its recent overindulgence. For perhaps the first time, increasingly frequent press talk of market bubbles may finally be starting to gain some traction with investors. AI-market darling SuperMicro started Tuesday down 6% to $1005 or an arguably amazing 20% or so off its peak the previous day. That peak was driven by news of its inclusion in the S&P 500 index, the shares rising 18% that day. Indeed, AI-loving investors have pushed the shares up around 1000% over just the last year, so they don’t yet really mind the wild gyrations. Nvidia itself – surely the epicentre of AI investment – nevertheless managed to stay relatively firm at $844, only 1% off in early trading. Indeed, both SuperMicro and Nvidia actually managed to finish the day around 1% up. Yet another impressive acrobatic feat of genius, as true believers stepped in yet again to support the share prices of these two leading AI superstars. So where was the real AI indigestion? Tuesday brought some major selling of hyper-large caps in the AI space with Microsoft down 3% at the close ($403) and Broadcom down 4% ($1343). ARM ($134), ASML ($969), Qualcomm ($161) and Adobe ($545) also closed the day down 3% each. There will always be a lot of noise in daily moves as short-term traders do their pirouettes and longer-term investors fidget or fine-tune; but every day is an opportunity to reassess valuations and hunt for turning points. If one looks at valuations, it is always a matter of opinion. However, there may come a point where growth assumptions need to be quite extreme to justify some current share prices. One conservative investor’s extreme may be a go-go growth investor’s low-case expectation; but there are moments when things really can overheat. We only need to think back to the enthusiasm for tech stocks in 2000 to see that: markets crashed after a heady bull run for internet stocks that were distinctly lacking in revenues, let alone earnings. In terms of the discounted cash flow approach to investing, terminal growth multiples may need to reach record dizzying heights to produce target prices that are still 20% or more ahead of current share prices. Conservative investors may refuse to countenance such multiples. On the other hand, there is more common ground on the view that in a gold rush situation like this, the early winners will be – or have been – the ones that make the AI picks and shovels. Namely, Nvidia, SuperMicro and others. Some investors have correctly identified these as sure winners to date, even if AI gold does not present itself in the desired quantities as time unfolds. So will there be enough to sustain the high terminal growth rates implicit in bullish valuation models? For those making the case for caution, there is the additional feature of every gold rush: the rush bit! A lot of current demand is from China. The country is a very obvious panic buyer, as it awaits further tightening of AI-chip supply due to US and EU sanctions and very possibly a Trump White House. Is there a risk that markets are swamped with excessive amounts of expensive, low-returning AI compute? Then again, if China is edged out, demand might be sustained at current rates from the huge reshoring trend as countries re-engineer and localise their supply chains? Added to this, the demand case could be more durably supported if major US customers like Google, Meta and Microsoft actually do start monetising AI at scale. All this could offset enforced restrictions on China. There was another undercurrent to trading yesterday and in recent weeks. We have seen much more caution building up around the outlook for Apple and Google. Apple has struggled after the announcement just over a week ago (27 February) that it was ceasing its car manufacturing project, called Titan. Perhaps the self-driving and car manufacturing challenges for AI-loaded cars were a step too far for Apple. Vast capital expenditure requirements for such a project may alone have taken Apple out of its comfort zone. Its shares also fell 3% on Tuesday – to a new, recent low of $170. Apple clearly needs to show it has more AI credentials. This is not just due to Titan: Apple’s faltering performance related to intellectual property disputes over medical applications for Apple Watch have been painful to see. More of that in our forthcoming Apple research note. Similarly, Google ($134), a much more mainstream AI beneficiary, has seen its shares fall as it has bungled its early AI demonstrations. There is even a new technical term for these AI mess-ups: hallucinations! Although Microsoft may have struggled to challenge Google in Search, Perplexity, a new AI-driven, search start-up with a $1bn valuation, is just one company that may start snapping at Google’s heels. So is the market hallucinating about prospects for AI? Investors will have to make up their own minds. AI certainly has potential but this is not easy street - as Apple and Google have so far shown. AI clearly needs expert design and implementation - no one can yet claim leadership. Or could AI do that itself? No way! Now you are hallucinating! - Or am I? Tim Green, CFA