I already own shares of Cheniere Energy (LNG) in my Jubak Picks Portfolio and my Volatility Portfolio. I will add another position in my 50 Stocks Portfolio on on Monday, March 23.
When the CEO extends the company’s $500 billion revenue projection for 2026 by adding another $500 billion for 2027–we’re talking $1 trillion in revenue here, folks–and the stock barely budges, I think we’re looking at a stock in need of a valuation reset. That’s exactly what happened to shares of Nvidia (NVDA) yesterday and today, March 16 and 17.And it’s why I’m selling Nvida out of my 50 Stocks Portfolio tomorrow, March 18. I expect I’ll be back into Nvidia shares when the valuation is less stretched–either because of a pull back in the shares or because projected revenues have turned into booked earnings (or some of each.) I’ve done this rotation in and out of Nvidia once before, selling in late 2023 and then rebuying in December 2023 for a 290% gain as of the close on March 17, 2026. Nvidia shares predawn 1.75% for 2026 as of the close on March 16.
Journey back with me to the heady days of 1999 when another technology boom pushed stocks to record highs on the promise of revolutionizing everything. Why is this exercise important?Because it’s a real life example of the work on the role of monopolies in our economy by economists like Joan Robinson and Paul Sweezy. Their work begins with the extreme excess returns that companies with effective monopoly power generate–and points to the important role that monopolies play in the business cycle of boom and bust. And because monopoly economics are critical to deciding if the current generation of AI stocks are really going to be worth what investors now say they are.
Nvidia (NVDA) shares rose 3% in after-hours trading on Wednesday after the company reported fiscal fourth-quarter results and guidance that topped Wall Street’s forecasts by a wide margin.
China’s AI disruptor DeepSeek is preparing to introduce a new model. Reuters had initially reported that DeepSeek would launch its next‑generation model “V4,” focused on coding, in mid‑February 2026. Rumors now peg the expected release window as “Q1–Q2 2026.” The mid‑February window has passed but context‑window changes and internal benchmark leaks signal that V4 is close. And it will be a BIG DEAL for AI competitors AND ai chipmakers such as Nvidia (NVDA). A big enough deal that the V4 release will move the entire tech sector and quite probably the stock market as a whole.
Nvidia (NVDA) reports fiscal fourth quarter 2026 earnings after the close of trading on Wednesday. This will be a huge test of market sentiment. The basic question is can Nvidia report any number good enough to move the stock higher against the current flood of negative sentiment around Big Tech.
Alphabet/Google (G00G) borrowed another $20 billion in its biggest ever U.S. dollar bond sale on Monday. And that’s just the beginning. The company is also planning debut deals in Switzerland and the UK. Including the sale of 100-year bonds.
Drum role, please: That would be the the first time a tech company has tried a 100-year offering since the Dotcom boom of the late 1990s. (Remember how that ended?) The big borrowing spree comes just days after tech companies from Meta Platforms (META) to Amazon.com (AMZN) said they were ramping up capital spending to build out infrastructure for AI. Those capital spending plans sent AI sector stocks into a steep decline on fears that AI companies would not be able to generate the cash flow needed to fund these capital spending plans. But that was sooo last week.
A week of Big Tech earnings reports will confirm or reverse what sure looks like a sector rotation away from tech shares and into metal and mining company stocks.
Will OpenAI go broke this year? 2027% Never?–with the company navigating its way to a company-saving initial public offering in 2026 or 2027?
The company’s current attempt to raise an additional $50 billion in venture capital from Middle Eastern investors will certainly help answer the question.
And the answer isn’t of interest only to those private investors who have put $57.9–$64 billion into the company across 11 funding rounds. OpenAI owes so much money to the companies supplying its chips and building its data centers–an estimated $1.4 trillion in contingent liabilities– that an OpenAI failure would dent–or worse–the entire technology sector.
Taiwan Semiconductor Manufacturing (TSM) has told Nvidia (NVDA) and Broadcom (AVGO) that its advanced capacity is effectively fully booked through 2026 and that it cannot meet all of their requested AI chip volumes.
Prices for memory chips are forecast to soar in 2026. but what just as bad/even worse it looks like chip customers are looking at serious supply shortages during the year.
Higher prices and supply shortages could be enough to put earnings at risk at some high multiple cloud and AI companies.
Taiwanese semiconductor and tech companies, led by Taiwan Semiconductor Manufacturing (TSM), the chip foundry critical to global AI supply chains, have committed at least $250 billion in investmentS to build and expand chip, energy, and AI production capacity in the U.S.
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