76report

7aed21aa7a

October 30, 2025
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76report

October 30, 2025

“So, Are We Headed for a Crash or What?!”

The text arrived on my phone Tuesday night around seven o’clock. It was Chuck West.


“If you’re available, please give me a call. There’s something I would like to talk to you about.”


Chuck West isn’t his real name—I want to respect his privacy—but he is someone I have known and worked closely with in a personal capacity for about ten years.


If you’ve been around the 76research website, you may have noticed a sailboat in the background of some of the shots of Trish and me. That is my 1995 Sabre 362. Her name is Tash, and she is a 36 foot Maine-built performance cruiser that I spend as much time on as I can during the summer.


Chuck works for a local sailmaker. He helps me with my sails and various other systems on the boat.


I was just with Chuck last weekend after bringing Tash over to the boatyard to put her away for the season. Earlier this spring, we finally replaced my old mainsail. Chuck met me at the dock to help take the new sail down and send it to the loft for inspection and cleaning.


So when I saw the text, I figured maybe there was a problem with the sail. But his choice of words was a bit too dramatic for that. I immediately called him to find out what was up. He sounded a bit anxious.


“I was just having dinner at the yacht club with a new customer,” Chuck told me. “He said the market is going to crash by the end of next year, and we are headed into a recession. Is he f***ing right?”


It obviously had nothing to do with sailing. Chuck was having a mini-panic over his portfolio and wanted to check in with me.


Disaster ahead?


A few things to know about Chuck, who is a man in his mid-seventies. Sailors tend to have a certain comfort level with profanity. Chuck is no exception. He’s as salty as they come.


Chuck is also one of the most accomplished racing sailors on the east coast.


He is ultra-competitive and obsesses over the smallest imperfections on his boat or anyone else’s. He is certainly not shy when it comes to communicating his criticisms, which he strategically pairs with foul language.


Chuck also has a high risk tolerance.


On Wednesday evenings during the summer, I race on my friend’s boat. Every now and then, another boat will cross us within inches, sending the crew’s adrenaline spiking. I would look up and, more often than not, see Chuck at the helm as a guest skipper, his long white hair flowing in the wind.  


The combination of attention to detail and guts may be the secret to Chuck’s success, but whatever it is, he has a tendency to win. Somehow, this even extends to investing.


When we were working on the boat at some point last year, he told me that he made reasonably large investments in two different stocks about a decade ago. He had read about them in an online newsletter.


One was a cannabis stock. He couldn’t remember the name. It went to zero within a few years.


The other stock was NVIDIA (NVDA).


Most people who follow the stock market or current events have a basic understanding of what NVDA is and how extraordinarily well it has done. The chart below is a helpful reminder. Every $1 that someone may have invested into NVDA ten years ago is now worth more than $250.

NVDA vs. S&P 500

(Total Return - Last 10 Years)

NVDA is a stock we have followed with intense interest for some time. After some initial trepidation, based on valuation concerns, we added it to our American Resilience Model Portfolio on March 12, 2025 (NVIDIA (NVDA): The Time Has Come).


The stock had sold off sharply amidst concerns about the (now almost totally forgotten) competitive threat posed by China’s DeepSeek.


This was a few weeks before Liberation Day tariffs sent stocks plunging, but I’m glad we acted. NVDA shares have advanced approximately 75% since then.


NVDA has now surpassed a $5 trillion market capitalization. Earlier this week, the company made several disclosures to the public that sent the shares up sharply.


NVDA held its annual GPU Technology Conference (GTC) in Washington, D.C. on October 28. Originally focused on graphics and gaming, GTC has become the world’s premier AI developer conference. It attracts more than 20,000 attendees, while millions watch online.


NVDA’s founder and CEO Jensen Huang made waves when he announced unprecedented visibility into future revenue, projecting $500 billion in cumulative sales from the Blackwell platform and early Rubin ramps through 2026.


Over the longer term, NVDA now sees $3 to $4 trillion of annual AI spend by 2030. These projections are significantly higher than consensus forecasts.


NVDA also announced a number of exciting strategic moves, including a major collaboration with the Department of Energy to build what will become its largest AI supercomputer.


The company unveiled a strategic partnership with Nokia, including a $1 billion investment into Nokia to deliver next-generation 6G wireless networks. On the industrial front, NVDA announced it is teaming with a number of leading global manufacturers to build AI-powered robotic-factory ecosystems.


Chuck’s big “problem”


Chuck bought NVDA way back when, years before AI was a “thing.” At the time, it was known for its dominant position in the video gaming market. I don’t quite know why he bought it, but he probably had an intuitive sense that it was an extremely dynamic company with a bright future.


He can talk to you for three hours about the latest advances in sailcloth, but I suspect Chuck would struggle to explain what a P/E ratio is. I think he just sensed NVDA was a winner playing in a high growth area of technology.


Sometimes these intuitions end up being far more valuable than any information that can be gleaned from a spreadsheet.


As a trained, professional investor, I have to admit, it’s a bit humbling when an individual with zero relevant experience is able to identify one of the greatest stock market investments of all time just by going on the internet.


Chuck never sold a share. The “problem” Chuck has now is that NVDA is half his net worth.


This problem is compounded by the fact that NVDA is now also the largest stock out there. NVDA accounts for approximately 8% of the S&P 500. So if he has diversified exposure to the S&P 500 with the rest of his portfolio, this means he has a lot of additional NVDA exposure there as well.


But it’s not just about direct or indirect NVDA ownership. The S&P 500 is dominated by mega-cap technology platform stocks which, like NVDA, are all highly connected to the AI theme. The top ten holdings within the S&P 500 represent nearly 40% of the index.


Only the tenth-ranked position, Berkshire Hathaway (BRK), which has a 1.6% weighting within the S&P 500 as of the end of September, sits outside the tech sector. And even with BRK, its stake in Apple (AAPL) represents a large chunk of its value.


Chuck is not alone


Chuck’s portfolio, via his large NVDA stake, may be especially levered to AI, but he is not alone. Investors who simply have S&P 500 exposure are relying heavily on the future success of AI plays.


I will even take it a step further. AI is now the driving force of the economy.


Take this with a grain of salt, since he is a Harvard faculty member, but one economist estimated that tech-related investment represented more than 90% of all U.S. economic growth in the first half of the year.


Many other sources confirm the idea that, in the absence of the current AI buildout boom, we would potentially be in a recession.


So while the S&P 500 may now have as much as a 40% or even 50% allocation to direct AI plays, depending on how you want to define them, the profitability of the rest of the stocks in the index is in many ways also connected to AI.


The vast majority of U.S. stocks benefit from AI spending indirectly (think of a construction business benefiting from the creation of new data centers). Alternatively, they are simply reliant on the overall impact of AI growth on the broader economy.


Lots of good questions


Talk of an “AI bubble” is therefore understandably frightening because it does not just pertain to a few tech stocks. The entire stock market is, in some sense, an AI play—if not the entire economy.


There are a few layers to this perception of bubble risk.


First, there is valuation risk. AI stocks now have multi-trillion dollar market caps.


Are stocks overvalued?


Then there is the question of the sustainability of AI-related growth.


Will there be an economic return from all this investment in data centers and related infrastructure?


In recent weeks, investors have grown concerned about the “circularity” of the AI economy, with market leaders like NVDA making direct investments in customers like privately-held OpenAI (see Implications of NVDA/OpenAI Mega Deal).


Is all this AI growth just an illusion?


To some extent, the vast success of the stock market just feels too good to be true. After all, what goes up must come down.


How can the stock market perform so well, year after year?


Meanwhile, we see one headline after another about corporate layoffs, including this week’s announcement by Amazon (AMZN) that it is carrying out “an overall reduction in our corporate workforce of approximately 14,000 roles” as it implements AI.

What we need to remember is that the world is changing quickly. This generation of AI is the most transformative technology we’ve seen since the Internet, and it's enabling companies to innovate much faster than ever before (in existing market segments and altogether new ones). We’re convinced that we need to be organized more leanly, with fewer layers and more ownership, to move as quickly as possible for our customers and business. - Amazon note to employees (10/28/2025)


The prospect of an AI-driven bloodbath for white collar workers is unsettling, to say the least.


How can the stock market continue to go up and the economy keep growing if AI is going to take everyone’s job?


These are all more than valid questions. I too worry about them.


I wasn’t quite as early into NVDA as Chuck, but I’ve done quite well with it, and it has grown into a sizable investment for me.


More importantly, the vast majority of my personal savings consists of diversified exposure to the stock market. This is mostly the result of long-term compounding and sticking with it through thick and thin over the decades.


So, like many other people, I’ve been giving these concerns around a market bubble a lot of thought. Here’s where I land…


(1) The AI revolution is real.


I started my career as the tech bubble was forming in the late 1990s. As a 22-year old associate covering telecom stocks, I still vividly remember being in the scrum surrounding the infamous Bernie Ebbers at the Pierre Hotel in Manhattan in 1997 after he announced the $37 billion merger between WorldCom and MCI.


It would be another nine years before Bernie reported to prison for crimes related to accounting fraud.


So the idea of a technology bubble, and corporate financial shenanigans creating an illusion of growth, is nothing new to me.


Tech stocks did of course get wildly overvalued in the late 1990s, with valuations totally disconnected not just from earnings but any reasonable gauge of business success.


The good news today is that the highly valued businesses of the AI economy are indeed making a lot of money. And, in stark contrast with the late 1990s telecom sector, they for the most part have pristine balance sheets.


Earnings multiples are now somewhat high, reflecting strong growth expectations, but they are far from stratospheric.


In the late 1990s, the tech-heavy Nasdaq peaked at ridiculous P/E multiples (around 150 to 200), since many companies had negative earnings. But even the more blue chip profitable names were trading as high as 60 times earnings.


Today, the Nasdaq-100 Index is trading at a forward P/E multiple below 30, while the S&P 500 is below 25 (with greater tech sector representation than in years past). These metrics are not low versus recent history, but they are not alarmingly high, especially given the pace of expected growth.

S&P 500 (SPY) and Nasdaq-100 (QQQ)

(Forward P/E Multiples - Last 10 Years)


Perhaps the bigger concern is not so much that the earnings streams are being too richly valued, but that the earnings themselves are “fake” and may collapse.


Fundamentally, this comes down to conviction around AI itself and how impactful it will be on the economy. My personal view is that AI is genuinely transformative and likely to unlock enormous productivity gains.


The internet and mobile phones, which represent the most important technological innovations of the past three decades, changed how information moved and how people communicated. AI changes how decisions are made and how work itself gets done.


But AI also drives AI. The product is intelligence itself, and this engine of intelligence is being used to make itself more powerful. The rate of improvement in AI is exponential.


ChatGPT two years ago felt intriguing but gimmicky. Today, many of us find it indispensable for their work and personal life. I personally do.


The household assistance robot that Trish just put a $200 refundable deposit on, fulfilling her lifelong dream of having her very own Rosie the Robot, may struggle with the dishwasher at first. I’m sure it will.


But in two years, it could be picking up her kids at school. It may be taken there by its good friend, the family self-driving car.

Say goodbye to doing dishes!


Productivity growth is inherently positive, not just for investors but everyone in the economy. Productivity is prosperity itself—having more with less effort.


Corporate layoff announcements coming out of Amazon and elsewhere are disconcerting, especially from the standpoint of white collar professionals seeking to maintain gainful employment. But it’s a good news for shareholders.


Labor costs as a percentage of corporate revenue are typically about equal to operating profit margins (around 10% to 15%).


If human beings are effectively being replaced by AI systems, saving money for companies, this clearly justifies demand for AI equipment. It also means higher corporate profits and/or lower prices (as firms become more efficient and compete with lower cost structures).


To the extent unemployment rises and wages stagnate, this may weigh on consumer spending and confidence… but as we are already seeing with the Fed’s response to softer labor market conditions, it also means easier monetary policy.


I have long-term confidence in the economy and the stock market based on my belief that AI will yield substantial productivity benefits. This will manifest as rising corporate profits and lower levels of inflation, which will allow monetary policy to be highly accommodative to support job creation.


Growing earnings, low inflation and easy money are what every investor in the stock market should hope for.


(2) Volatility is possible/likely. Just be prepared.


Even if the long-term trajectory of the stock market is up and to the right, there will of course be bouts of volatility along the way. There always have, and there always will.


April 2025 was a prime example. Trump came out with a surprisingly tough initial stance on tariffs, and stocks went into freefall. It was scary and painful at the time, but the right thing to do in retrospect was (a) not to sell and (b) buy if you could.


The economy is rapidly changing, in my view, for the better, but these changes can be disruptive and may lead to episodes of risk aversion. Personally, I just try to be mentally and financially prepared for this.


I tend to maintain some dry powder (cash or short-term bond investments) that I can deploy in periods of turbulence to take advantage of market dislocation. At the very least, it helps satisfy the psychological itch to “do something” amidst all the uncertainty.


(3) They will print.


Let’s assume, for argument’s sake, this really is an AI bubble. In this scenario, AI is overhyped. We don’t need all these data centers. Tech stocks are overearning. Tech growth rates are way overestimated. The capital spending boom comes to a halt.


Ironically, this scenario, were it to play out, might look a lot more like the 2005-2008 housing bubble than the late 1990s tech bubble.


In the housing bubble years, we had a major asset class (real estate) that was totally overvalued, thanks to bad government policy, crazy lending practices by banks and fraudulent behavior in the mortgage-backed securities market.


During the housing bubble, the economy was booming as home prices surged and new homes and entire communities were being built at an aggressive pace. Single family homes were the data centers of that era.


When the music stopped, we saw a dramatic reduction in household wealth. Capital spending also plunged because the housing market was now massively oversupplied. Because of vast leverage, the housing bubble led to a financial crisis, which severely exacerbated the problem.


Fortunately, there is much less financial leverage involved in the AI buildout, which is largely financed by corporate cash flows and equity rather than debt.


In addition, the banking system is (hopefully) more resilient today given legislative changes that came out of the financial crisis. In any event, it is certainly less leveraged.


To the extent AI, which is now the economy’s primary growth engine, turns out to be a bubble that bursts, we would likely see a sharp collapse in demand across the economy.


But this would almost certainly be followed by a profound monetary response.


The reality of our highly leveraged fiat money system is that it cannot tolerate a collapse in asset prices. Progressive taxation means the government is largely funded by taxes on the highest earners.


If these taxpayers—the 10% of the U.S. population that owns 70% of total household wealth—go down, the federal government goes down with them.


We saw this movie after the tech bubble burst, after the housing bubble burst, and during the pandemic. If there is a major economic disruption, the Fed steps in, cuts rates, initiates quantitative easing, and floods the economy and the financial system with liquidity to protect asset prices and keep the economy moving.


When paper money gets printed, supply-constrained assets usually perform well. Gold historically tends to be a great hedge in scenarios like this. Bitcoin could emerge as one as well.


Interestingly, both the best case scenario (productivity boom) and worst case scenario (bubble burst) would logically lead to aggressive money printing.


In the productivity boom scenario, the Fed eases to create jobs and counteract productivity-driven disinflation. In the bubble burst scenario, the Fed eases to create jobs and counteract deflation from collapsing demand.


Gold and Bitcoin will arguably do well either way. There is a reason we write about these two assets a lot!


(4) It’s still early.


While I always worry about market volatility, my biggest regrets as an investor have been missed opportunities as opposed to sustaining temporary losses during market corrections.


We are really only about two to three years into a technological wave that will touch every single industry and household in the world (with the possible exception of members of tribal cultures buried deep within the rain forest).


Some people are terrified by the prospect of loss. They toss and turn at night worrying about the next catastrophe on the horizon. Some people, like my friend Chuck West, stay up all night figuring out how they can win.


With no real training whatsoever in finance, business or technology, Chuck may have gotten lucky with NVDA. Or maybe his mind is so dialed into what it takes to succeed, he was able to intuitively put the pieces together and figure out this business was something special.


Either way, as he would say, he made a ****load of money.


The changes underway in the economy are unsettling, but they are exciting. We can and probably will see some turbulence along the way.


Personally, I want to maintain my diversified exposure to the enterprises that are changing the world and the scarce assets that may appreciate substantially in a world of AI-driven abundance.

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