
In my last post, I suggested that there appeared to be a campaign to impugn the character of the younger generation as cover for reducing graduate recruitment, partly because of the desire to make AI systems of various sorts handle a wider and wider range of tasks. However there are other reasons why the value of AI needs to be promoted to the point where if your toaster or fridge is not using a chip they absolutely should be. It is all about the dependence of the US stock market on the so-called Magnificent 7 companies: Alphabet (Google), Apple, Meta (Facebook), Tesla, Amazon, Microsoft and Nvidia whose combined market capitalisation as at 22 July was 31% of the S&P500.
Nvidia? Who are they? They produce silicon chips. As Laura Bratton wrote in May:
As of Nvidia’s 2025 fiscal fourth quarter (the three months ending on Jan. 26 of this year), Bloomberg estimates that Microsoft spends roughly 47% of its capital expenditures directly on Nvidia’s chips and accounts for nearly 19% of Nvidia’s revenue on an annualized basis.
Meanwhile, 25% of Meta’s capital expenditures go to Nvidia and the company accounts for just over 9% of Nvidia’s annual revenue.
Amazon, Alphabet and Tesla are also big customers.
Nvidia is a growth stock, which means that it needs continued growth to support its share price. Once it ceases to be a growth stock then the kind of price earnings ratio it currently enjoys (nudging up to 60, by comparison the price earnings ratio of, say, HSBC is around 17.5) will no longer be acceptable to investors and a large correction in the share price will happen. So a growth slowdown in the Magnificent 7 is big news.
What would prevent a growth slowdown? Well a lot of processing-heavy sales for Facebook, Amazon, Apple and Google primarily. That is why there is now an AI overview of your Google search, why Rufus sits at the bottom of your Amazon search and everything appears to have a voice activated capability which can be accessed via Alexa or Siri these days.
Of course I am not arguing that there are not uses for large language models (LLMs) and other technologies currently wrapped up in the term AI. Seth Godin, usually a first mover in this space, has produced a set of cards with prompts for your LLM that you can tailor for various uses. Many people are seeing how AI applications can cut down the time they spend on everything from diary management to constructing PowerPoint presentations. There is no doubt that use of AI will have changed the way we do some things in a few years’ time. It will not, however, have replaced all of the jobs in Microsoft’s list, from mathematician to geographer to historian to writer. If you want a (much) fuller critique of what is misguided about the AI bubble, I refer you to The Hater’s Guide To The AI Bubble.
There is a lot of rough surrounding a few diamonds and the conditions for a bubble are all there. We know this because we have been here before. On 10 March 2000, the dotcom bubble burst. As Goldman Sachs puts it:
The Nasdaq index rose 86% in 1999 alone, and peaked on March 10, 2000, at 5,048 units. The mega-merger of AOL with TimeWarner seemed to validate investors’ expectations about the “new economy”. Then the bubble imploded. As the value of tech stocks plummeted, cash-strapped internet startups became worthless in months and collapsed. The market for new IPOs froze. On October 4, 2002, the Nasdaq index fell to 1,139.90 units, a fall of 77% from its peak.
Fortune are now claiming that the current AI boom is bigger than the dotcom bubble. And even leading figures in the AI industry admit that it is already a bubble.
This is where it gets interesting. The FT, in its reflection on these parallels, appears to be comforted by the big names involved this time:
To be sure, the parallels are not exact. They never are. While most of the dotcom companies were ephemeral newcomers, the Mag 7 include some of the world’s most profitable and impressive groups including Apple, Amazon and Microsoft, as well as the main supplier to the AI economy, Nvidia.
But of course this is the reason why it’s worse this time. We were able to manage without the “ephemeral newcomers”, although Amazon‘s share price fell by 90% over 2 years and Microsoft lost 60%, so the comparison is not quite true. However these companies were not the foundations of the economy then that they are now.
If Nvidia is the essential supply chain for all the other 6 of the Magnificent 7, then its own supply chain is equally precarious. As Ed Conway’s excellent Material World points out, Nvidia is “fabless” (ie without its own fabrication plant) and relies on Taiwan Semiconductor Manufacturing Company (TSMC) for the manufacture of its processors. They in turn are completely dependent on the company which makes the machines essential to their manufacturing units, ASML. As Conway says:
As of this moment, ASML is the only company in the world capable of making these machines, and TSMC is, alongside Samsung, the only company capable of putting such technology into mass production.
And then there are the raw materials required in these industries. Much has been made, by Diane Coyle and others, of the “weightless” nature of our global economy. Conway demolishes this fairly comprehensively:
In 2019, the latest year of data at the time of writing, we mined, dug and blasted more materials from the earth’s surface than the sum total of everything we extracted from the dawn of humanity all the way through to 1950.
There is a place in North Carolina called Spruce Pines where they mine the purest quartz in the world. As one person Conway interviewed said:
“If you flew over the two mines in Spruce Pine with a crop duster loaded with a very particular powder, you could end the world’s production of semiconductors and solar panels within six months.”
Whereas China controls the solar panel market it is reliant on imports for its semiconductors. In 2017 this cost China more than Saudi Arabia exported in oil or the entire global trade in aircraft.
Conway muses on whether China would invade Taiwan because of this and concludes probably not.
“Even if China invaded Taiwan and even if TSMC’s fabs survived the assault…that would not resolve its issue. Fab 18 [TSMC’s plant] might be where the world’s most advanced chips are made, but they are mostly designed elsewhere”.
However it would certainly be hugely disruptive if that were your goal. So even if the share prices of the Magnificent 7 don’t plummet of their own accord, they might be eviscerated by a crop duster or an assault on Taiwan.
There are so many needles poised to prick this particular bubble it would seem prudent to be cautious as a company in how dependent you should make yourselves to AI technology over the next few years.