Don't Fret, It's Picks and Shovels Time in the AI Gold Rush

• Fears of a sharp economic slowdown, and worldwide heavy selling of stocks have hit U.S. stocks in recent weeks.

• Recent economic releases have shown that unemployment is rising, home sales are slowing, manufacturing production is softening, and wage gains are flattening out. These weaker economic data points have caused fears of a recession and a move out of stocks and into bonds. 

• This flight to safety has seen 10-year U.S. Treasuries to fall from near 4.75% a few months ago to 3.75% on Tuesday. The slowing economy fears have caused the S&P 500 to fall by nearly 10%. 

• The sell off in stocks and specifically in the tech stocks is hard to reconcile in the face of the solid second quarter earnings growth reports across almost all industry sectors, from AI leaders to banks and industrial companies.

• Does this big sell off mean the AI gold rush is already over? Moreover, does it mean the bull market in non-tech stocks, which was signaled in recent weeks, is also only a head fake?  

It is important to remember that gold rushes are driven by forces other than “there’s gold in them thar hills.”  At times, reality sneaks in to play a role in the pricing. The reality in this case is investors have become worried that the tech stocks have come too far too fast, and they no longer offer value at their inflated prices. There is nothing new about that worry. It’s very realistic and has been around as long as the tech stocks have been. The techs are trading at about 30-35 times earnings and projected to have earnings growth of 15-25% over the next 3-5 years. In an earlier post, I stated that if the current earnings projections for the techs and the S&P 500 prove correct for year-end 2024 and 2025, the market will go higher. My valuation model still says 5800 is the best guess of the current fair value of the S&P 500.

It is necessary to square the recent week economic news and sharp sell offs in worldwide stocksand interest rates with corporate earnings that are being reported every day. All these data

are being collected in the same time frame, and history tells us that earnings and dividend growth

have more predictive power in the long run than do changes in GDP and interest rates.

In my judgment, the billions of dollars that corporate America is investing in AI have not had nearly

enough time to find gold. We are in the “picks and shovels,” or early stages of the gold rush where

the miners are assembling the people and tools, and identifying where to mine. In short, nowthe big winners are the chip companies that manufacture the AI chips. The products

and services that will be forthcoming in the years ahead are still concepts. Yet, when giant sums

of capital are being placed in the hands and minds of the smartest tech people in the world,

life-changing products and services are assured.    

I believe an AI gold rush is underway. AI gold will be found and lead to huge stock gains in many existing, as well as start-up companies. My calling it a gold rush is not a total disparagement. The operative questions are: How much gold is there to be found, and who will find it? Almost certainly, too much money will ultimately join the gold rush, but it is far too early to declare AI dead. That being the case, the huge selloff in tech stocks is way overdone and offers a buying opportunity in the coming weeks and months.

Warren Buffett selling a huge chunk of Apple is probably the best news I have seen to assure us that AI has real merit. I am a great fan of Mr. Buffett, but he is anything but a gold rush player. He is strictly a “picks and shovels” guy. He did not sell out entirely. He just took some profits.   

In an earlier post, I said we are traversing a gold rush in AI, and almost all gold rushes end poorly for the average investor. However, for the recent sell off in AI and the stock market to be anywhere near correct, AI would have to be a complete bust. My bottom line is all gold rushes  are driven by periods of reality and illusion. AI has been called the driver of a new industrial revolution. That is big talk, but to say that AI is a bust is just as big an exaggeration.

Stay tuned.

It's Official: The AI Goldrush Is Underway

 

1. Near the end of the dot-com bubble in 2000, my business partner and I stumbled onto the notion that the techs were acting much like a gold rush. Gold was being found in the dot-com world and creating riches, but its passion was producing ever more gold miners with golden dreams.

2. Our company had traversed the dot-com craze during the late 1990s, chasing the gold like everyone else. But in early 2000, our valuation models simply could not justify the tech prices . .  . not by a mile.

3. A simple truth spoke to us: Never in the history of the US stock markets had an industry grown fast enough, long enough, to justify the prices of most tech and big consumer stocks.

4. We decided to cut back on the hottest of the highflyers. It changed our company and our lives forever.

This seemingly bold move was not based on something we were convinced we knew, but just the opposite. It was because we knew we did not know how to value the techs, and that being the case, we decided to stand aside. Even then, there was nothing bold about our decision to start cutting back on techs. In fact, we visited every client we had and admitted to them we believed the techs had reached the gold-rush state, but they might just keep going higher like they had over the last decade. The only thing we could say for sure was that our valuation models showed that many slower-growing companies were great values. We advised them we recommended placing sell orders 15% below the current prices on the six most overvalued tech stocks. Should any of these sell orders be triggered, we would invest the proceeds in undervalued dividend-paying stocks with dominant positions in their industries. 

During the year 2000, all six of the stocks' sell orders were triggered, and we bought financials, consumer staples, and industrial companies whose prices had gone flat in recent years because their sales and earnings were growing in the high single digits, much less than the 25-50% annual earnings growth of the techs. Interestingly, these undervalued dividend-paying stocks actually rose in 2000 when the overall market fell by over 10% and the dot-com gold rush ended. 

Why am I sharing this old tale? Am I predicting the AI gold rush is near its end? Indeed, are there other stocks that offer much better value with good prospects for future growth? No I’m not. I am announcing; however, that the gold rush in AI is now a reality and there are two truisms about gold rushes of the past. 1) When everyone, everywhere knows that an industry or a particular stock is the center of the investing universe, there is a good chance that everyone owns the stocks and the new money needed to push the stock higher will soon be tapped out. 2) The analysis at the end of gold rushes has always revealed that the companies that sold the picks and shovels for the miners were the best place to put your money, not in the gold miners themselves.

As one who is old enough to remember the dot-com collapse, my reason for writing this blog is to just give everyone a heads up that in my judgment, the AI phenomenon has officially reached the gold rush state. I said last time, my valuation models are showing that an S&P 500 level of 5700 is reasonable. If the AI world can produce overall sales and earning growth for corporate America of 11-12% over the next five years, the market is fairly priced. If earnings growth is higher than that, stocks still have a good run ahead of them. However, if the earnings growth falls back to a 7% or 8% handle, stocks will fall. Additionally, I do not see a long list of undervalued non-AI companies. Thus, I conclude the gold rush has room to run. I’ll keep you posted on what my models are saying as we go.

If you would like to communicate with me directly, email me at info@gregdonaldson.com  

Dividends and Earnings Say, The S&P's Current Price is About Right

The question I have been asked most in recent months is, "Is the current bull market in tech stocks signaling another dot-com massacre, or is it justified in light of the promise of AI?" 

1. Most of my questioners lived through the dot-com bubble of the 1990s and its subsequent crash in early 2000. In the late 1990s, the notion that computer and internet stocks could only go higher took hold, which proved dead wrong and devastating to many investors when some tech stocks fell by 90%. 

2. Nvidia and its artificial intelligence computer chips are skyrocketing in much the same way that Cisco and Intel did in the late 1990s, before crashing back to earth in 2000.

3. The Fed gives the impression that their rate hikes are finished, but inflation is still running near 3.5% and shows little signs of slowing on a month over month basis. 

3. If the Fed does not have inflation under control, a spike in long-term interest rates could cause another sell off in tech stocks just as it did in 2022. 

    One of the most disappointing aspects of modern day investing is we seem to have all become momentum investors. Find a winning stock, jump on board, and hope to sell out before it turns lower. Ben Graham's famous quote about how stocks operate is in full bloom today. He said, "In the short run, the market is a voting machine, but in the long run it is a weighing machine." The point being, stock prices can be driven to ridiculous levels by short-term projections of how high is the sky, but ultimately, stock prices find their correct value. 

    Over the years, I have developed two stock market valuation tools. One looks back and is primarly earnings driven. The other looks forward and is dividend and interest rate driven. Dividends would seem to be a very pedestrian way to value a gold rush, but over the years, I have found the growth of S&P 500 dividends in combination with changes in long-term interest rates have been the best risk-adjusted predictor of S&P 500 prices. At present, my dividend discount model predicts that the fair value of the S&P 500 is approximately 5800. At 5300, that would mean stocks are modestly undervalued. However, one has to realize that the forward dividends and earnings estimates are heavily influenced by Wall Street's 3-5 year forward estimates for tech stocks. 

    My answer to the questions I have been receiving about the risks in the markets is a familiar one: "It depends." It depends on whether the AI and other high-flying tech stocks can deliver the dividends and earning growth Wall Street is now projecting. If the overall S&P 500 can deliver numbers reasonably close to the current estimates, the market is modestly undervalued and vice versa. I'll keep you posted in the weeks and months ahead how the estimates are holding up and measuring up, as well report on how interest rates are impacting my model.