Chipmaker Stock Prices Explode: The Latest Bubble?

The share prices of many semiconductor chip companies have gone nearly vertical in the past month. Here are five-year charts for Micron (MU) and AMD, as of the close Monday:

Micron (MU) 5-Year Stock Chart

Advanced Micro Devices (AMD) 5-Year Stock Chart

Many analysts have been taken by surprise by the magnitude of the recent surge and prices. There has been no sudden, truly new news to drive this shift. It has been known for over a year that there is a huge shortage of memory chips, allowing Micron to charge high prices for its products.  But apparently the official quarterly announcement of earnings and projections substantiated that narrative. The bears have been claiming that memory chips are a cyclic business, where chip shortages are followed by building more manufacturing capacity, which inevitably leads to overcapacity and a crash in memory chip prices. It has happened repeatedly, and therefore the current Micron stock party would end in tears after a couple of years. But the bears have been beaten back to their caves for now. Micron was up another full 7% yesterday.

AMD, which specializes in central processing units (CPUs), also released good earnings and strong projections. But the real share price driver there seems to be the new narrative that the shift from the shift to agentic AI will require a higher ratio of CPUs to GPUs.  GPUs (graphic processing units) are the engines that do the core large language model (LLM) AI calculations. But apparently an increasing number of CPUs will be required to coordinate the activities of the GPUs:

AI agents—or the Agentic Era, as called by analysts—need more CPUs per GPU because they are responsible for the orchestration of AI workloads and the required data processing in order for the agent to accomplish its task, or, more simply, CPUs organize the steps of the workflow for the agent.    Traditional LLM models—not agents—required a CPU:GPU ratio of 1:4 to 1:8, but analysts anticipate this ratio to shift toward 1:2 or even 1:1 in the coming years.

All that to say demand for AMD‘s chips is projected to increase.

So far, so good. But apparently being swept up in the whirlwind of exhilaration is the share price for lowly Intel (INTC). Intel was the leading manufacturer of processor chips back in the day, but it missed the boat on GPUs and just cannot seem to execute at global standards. In recent years, Intel has mainly been famous for ever-slipping deadlines on producing high performing chips. Its earnings have been approximately zero for some time. The good news is it now has a foundry business. The bad news is that the foundry business loses around $2 billion a year. The foundry has pulled in a few large customers, and after their experience there, they all run screaming for the exits. But wait, there’s been an announcement that Apple may contract with Intel to produce some low-end chips. Whoopee!

Intel (INTC)  Five-year stock chart


Folks who look at technical behavior of stocks rather than the fundamentals of the business seem somewhat skeptical about the current surge. Terms like overbought are thrown around. I read an article claiming that hedging activities in the options market is creating an artificial, temporary demand for these high-flying stocks:

It is also fairly clear what has been driving these overbought conditions at the index level: aggressive call buying is creating a gamma squeeze across several stocks, such as Micron (MU). This occurs when aggressive call buying forces dealer hedging flows, resulting in purchases of the underlying stock. The more the stock rises, the more call buying tends to increase, and the cycle builds on itself.


My take on this spectacle

I can get the fundamental bull case in general for Micron stock. I bought into it about six months ago. Even that far back, it was clear that the demand for memory chips far outstripped the supply, so Micron could not help minting money for the next year or two. It was one of my fairly rare successes in stock picking. Sadly, I only bought a little bit, because I was influenced by many negative articles claiming that memory chips are a cyclic business, so this boom would end like all the previous Micron booms, with a glut and a crash.

There seems to be a solid bull case for AMD as well. For pitiful Intel, however, I see its price chart as a sign of market FOMO.

Where these stock prices go from here, I have no idea. My observation over the years is that this level of enthusiasm is usually followed eventually by, “What was I thinking?”, and a return to earth. However, in the meantime, tech stock prices often run up longer and further than I would have thought possible.

Usual disclaimer: Nothing here should be taken as advice to buy or sell any security.

The Fed Resumes Buying Treasuries: Is This the Start of, Ahem, QE?

In some quarters there is a sense that quantitative easing (QE), the massive purchase of Treasury and other bonds by the Fed, is something embarrassing or disreputable – – an admission of failure, or an enabling of profligate financial behaviors. For months, pundits have been smacking their lips in anticipation of QE-like Fed actions, so they could say, “I told you so”. In particular, folks have predicted that the Fed would try to disguise the QE-ness of their action by giving some other, more innocuous name.

Here is how liquidity analyst Michael Howell humorously put it on Dec 7:

All leave has been cancelled in the Fed’s Acronym Department. They are hurriedly working over-time, desperately trying to think up an anodyne name to dub (inevitable) future liquidity interventions in time for the upcoming FOMC meeting. They plainly cannot use the politically-charged ‘QE’. We favor the term ‘Not-QE, QE’, but odds are it will be dubbed something like ‘Bank Reverse Management Operations’ (BRMO) or ‘Treasury Market Liquidity Operations’ (TMLO). The Fed could take a leaf from China’s playbook, since her Central Bank the PBoC, now uses a long list of monetary acronyms, such as MTL, RRRs, RRPs and now ORRPs, probably to hide what policy makers are really doing.

And indeed, the Fed announced on Dec 10 that it would purchase $40 billion in T-bills in the very near term, with more purchases to follow.

But is this really (the unseemly) QE of years past? Cooler heads argue that no, it is not. Traditional QE has focused on longer-term securities (e.g. T-bonds or mortgage securities with maturities perhaps 5-10 years), in an effort to lower longer-term rates. Classically, QE was undertaken when the broader economy was in crisis, and short-term rates had already been lowered to near zero, so they could not be lowered much further.

But the current purchases are all very short-term (3 months or less). So, this is a swap of cash for almost-cash. Thus, I am on the side of those saying this is not quite QE. Almost, but not quite.

The reason given for undertaking these purchases is pretty straightforward, though it would take more time to explicate it that I want to take right now. I hope to return to this topic of system liquidity in a future post.Briefly, the whole financial system runs on constant refinancing/rolling over of debt. A key mechanism for this is the “repo” market for collateralized lending, and a key parameter for the health of that market is the level of “reserves” in the banking system. Those reserves, for various reasons, have been getting so low that the system is getting in danger of seizing up, like a machine with insufficient lubrication. These recent Fed purchases directly ease that situation. This management of short-term liquidity does differ from classic purchases of long-term securities.

The reason I am not comfortable saying robustly, “No, this is not all QE” is that the government has taken to funding its ginormous ongoing peacetime deficit with mainly short-term debt. It is that ginormous short-term debt issuance which has contributed to the liquidity squeeze. And so, these ultra-short term T-bill purchases are to some extent monetizing the deficit. Deficit monetization in theory differs from QE, at least in stated goals, but in practice the boundaries are blurry.