Mad Hedge Technology Alerts!
It’s not just about smartphones for Samsung anymore, their stalwart chip business is in full-blown crisis mode as they have been too slow to adapt to the artificial intelligence revolution.
It shows that if a company is asleep at the wheel, how quickly and how far they can fall back.
Samsung is Korea’s flagship tech company, and it is like the Titanic in a way because it is hard to turn around with the amount of employees it has.
Old habits die hard, and management simply wasn’t prepared for the giant leap forward in semiconductor chips.
Remember when their flagship smartphone, named the Galaxy, was the best phone in the world?
Oh, have times changed?
Concerns are piling up that the company is losing out to smaller rival SK Hynix in AI memory and failing to gain on Taiwan Semiconductor Manufacturing.
Overseas investors have sold about $10.7 billion worth of the South Korean company’s shares on a net basis since the end of July.
That hope has been snuffed out with the company admitting delays with its latest-generation HBM chips in early October, soon after SK Hynix said it had begun volume production. Meanwhile, US rival Micron Technology is stepping up efforts in HBM as well and has reported strong demand for its offerings.
Beyond its lag in AI memory, Samsung has struggled with a costly, yearslong effort to close the gap with TSMC in the foundry business. Like Intel— which has run into similar difficulty with plans to expand its outsourced chipmaking operations — the Korean firm is now moving to cut jobs and make other efforts to stop the bleeding.
Jay Y. Lee — a grandson of Samsung’s founder who was appointed executive chairman two years ago — was acquitted of stock manipulation charges in February after years of legal issues. Three months later, the company unexpectedly replaced its semiconductor division head with Jun Young-hyun, a memory chip veteran.
Samsung executives and engineers are now in full unison, heading towards the exits, looking for greener pastures, and that is a massive red flag.
It certainly isn’t a good optics when the best talent is looking for another job, but that is where we are at with Samsung.
In the short term, I don’t expect a quick turnaround because the management problems are real, and to get competitive in AI is a tall order.
Just look at AMD, they are about a year behind Nvidia, and Samsung isn’t even in the ballpark.
I expect a slow slide into irrelevancy and foreign shareholders dumping big swaths of Samsung stock backs this theory.
In the short term, readers shouldn’t get too fancy with picking AI stocks because there is a massive risk to the downside, considering how expensive the equity market is right now.
Samsung won’t be the last company to be swept up by the dustbin of tech firms.
In the U.S., it is clear which companies are behind and which are leading.
Microsoft is definitely one to buy the dip on.
I definitely envision at least one fiercer rally in AI stocks as we cruise past the U.S. election.
Mad Hedge Technology Letter
October 28, 2024
Fiat Lux
Featured Trade:
(THE FUTURE OF TECH STOCKS)
(AI), (NVDA), (XLU), (XLE), (AAPL), (GOOGL), (AMZN), (META), (MSFT)
Through the vast whole spectrum of public markets, the U.S. stock market, and specifically technology stocks, are dominating versus their peers from other countries.
Heck, even Apple, just one company from a small suburb in California, is valued at a price that is greater than the entire German economy.
Does that speak to how bad the German economy is, or does it speak to the potency of public tech companies in America?
The truth is probably a bit of both.
Then, take a second and try to absorb the fact that Apple hasn’t even integrated AI into its own products yet.
The future is bright for many tech stocks, and the rally will broaden out to non-Magnificent 7 stocks.
More granularly, the US will continue to lead by market cap share as artificial intelligence benefits expand beyond a few large tech names that have dominated the market rally over the past year to companies in various industries.
Revenue production and margin improvement will be the critical levers of expansion.
The first will come from the money pouring into AI benefiting companies outside of Big Tech. This plays out as tech companies buy AI chips from the likes of Nvidia (NVDA), and as they need more power, these AI operators are forced to spend with companies in the Utilities (XLU) and Energy (XLE) sectors.
As AI makes companies more efficient and eliminates the simplest work, eventually cutting down costs, US corporates should get a boost to profit margins.
Global equity markets, including retirement allocations to equities, are basically leveraged to Nvidia.
A non-US tech company will rise over the next decade and unseat the large tech companies currently driving the US market share, like Apple (AAPL), Nvidia, Microsoft (MSFT), Amazon (AMZN), Alphabet (GOOGL), and Meta (META) are almost zero.
When we look at the revenue possibilities and understand that AI will directly cut expenses by creating efficiencies, it’s hard to see tech stocks do anything but go higher in the long term.
Even then, there will be some dips, and they should absolutely be characterized as buying opportunities.
Just look at a 3-month chart of Apple, and each month has presented a dip buying opportunity on August 6th, September 16th, and October 7th.
Apple stock is up 7.5% in the past 3 months.
When everyone complains that tech stocks are too expensive, well, they will get more expensive.
As long as leverage is able to be tapped, institutions will tap it and look for that asymmetric trade to the upside.
Tesla has also proved how hard it is to bet against tech and Elon Musk.
It usually is a terrible idea.
The setup to Tesla’s earnings meant a very low bar, and Musk jumped over it to the tune of a 22% pop in Tesla stock.
Tech is clearly in a secular bull trend, and trying to get artsy to squeeze in a microdip on the short side usually has meant a loss-taking event.
Why even try?
It’s my job to tell readers to bet on tech going to the upside, especially the quality companies that accelerate revenue by harnessing the superpowers of AI.
