Software Stocks Get Hit With The Asbestos Stick

As Yogi Berra famously said, “it’s deja-vu all over again.” When I first started in the financial industry, asbestos-related civil suits had really kicked into gear. Companies were going bankrupt left and right because of asbestos exposure. Young analysts like myself were told to scour through lists of tickers, as the stock of any company with even a whiff of exposure to the toxic material would get slaughtered. It was very much a “shoot first, ask questions later” environment. Fast forward 30 years, and the same environment is prevalent again, this time with artificial intelligence replacing asbestos.

We recently touched on this new market development. Essentially, any business model linked to the organization, dissemination, or storage of “knowledge” has suddenly become extremely toxic. This is quite a reversal. At the start of this century, knowledge was by and large unaccounted for and so deeply undervalued. Then, over the following two decades, knowledge became the only asset worth focusing on. But suddenly, knowledge is perceived to be ubiquitous and essentially free. Rather than an asset, knowledge is almost a liability!

This sudden shift in perceptions explains why the stocks of knowledge companies—whether software, business processing or credit card payment systems—are suddenly finding no buyers. As I argued in early February, revolutions always end up eating their own children and it seems like the AI revolution may be no exception. All of which brings us to today’s market quandary: while software stocks can barely find a bid, semiconductor stocks continue to make new highs.

With the former (Microsoft, Oracle, IBM…) often the clients of the latter (Nvidia, AMD, SK Hynix…), this leaves investors facing a dilemma: if software stocks continue to struggle, will AI capex, on which the current valuation of semiconductor stocks depends, remain totally unconstrained?

Staying on the Yogi Berra theme, today’s dichotomy is reminiscent of the market breakdown of the early 2000s. Back then, the internet was the disrupting force. However, by March 2000, dot.com companies were hitting the skids. Still, the companies building telecom networks (Corning, Cisco, JDSU, Sun Microsystems…) kept on soaring, and most made new all-time highs over the summer months. But by the time the school year restarted, it was obvious that with the dot.com companies out of cash, orders for the hardware providers were also drying up. Stocks duly tanked.

A historical precedent which leaves investors with three possible scenarios:

  1. Investors can assume that the sell-off in software stocks and other knowledge companies is a short-term panic, and that the potential impact of AI on all such business models will not be nearly as deep as the market seems to anticipate. In this scenario, the recent software sell-off would present a buying opportunity.
  2. Investors can conclude that AI will indeed be deeply transformative for our economies and for business models. At the same time, AI capex will continue almost regardless of returns on invested capital, with investment pouring into chips, data centers and the like, and this regardless of the financial health of the companies making the investments. In this scenario, continuing to buy semiconductors makes sense.
  3. Investors can conclude that figuring out who will be the winners and losers of the AI roll-out is just too hard, that valuations across the space are too stretched, and that too many names are priced for the kind of rosy outcomes that seldom occur in revolutionary times.

    In such a scenario, moving one’s capital towards simpler business models, whether oil wells, copper mines, shampoo manufacturers or distributors of chocolate bars becomes the path of least resistance. Or, as my friend David Hay recently put it, the market moves from YOLO trades to HALO trades (heavy assets, low obsolescence).

In the past few weeks, it has started to feel as if the market is beginning to shift from scenario #2 to scenario #3. Indeed, former investor darlings such as tech, communication services, financials or consumer discretionary stocks are now all down year to date. Meanwhile, industrials, staples, energy and materials have been ripping higher. It is as if the market is saying “I don’t know who will win or lose from AI, but I’m pretty confident that Exxon will continue to pump oil and sell gas, that P&G will sell shampoo, and Kimberly-Clark will sell diapers. These companies may not be exciting, but at least I am sure that they still will be here in a year’s time, and that their business will not be zero.”

All of which brings us to a fairly obvious point: for most professional investors, the biggest fear of all is of investing in companies whose share prices end up worthless. Such an outcome is a much greater career risk than underperforming an index. So when massive companies like Oracle lose -55% of their market capitalization in five months, it sends shivers down spines. Suddenly, the quest becomes to avoid being the bag holder in the next roadkill company.

In short, the market zeitgeist is changing in front of our eyes. Portfolio managers are taking off the “offensive team” (knowledge companies) and putting on the defensive team (HALO). To reverse this will take good news on the tech front (much stronger than expected earnings from software companies? Large share buybacks?). However, the big risk is that the coming weeks will instead see some of the large hyperscale's (Microsoft? Amazon?) announce cuts in AI capex (perhaps to fund buybacks?). Such announcements would see the software sell-off spread to semiconductors. At that point, the Nasdaq and S&P 500 would most likely gap down…


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