Global Market Comments
December 28, 2020
SPECIAL ISSUE ABOUT THE FAR FUTURE
(PEEKING INTO THE FUTURE WITH RAY KURZWEIL),
(GOOG), (INTC), (AAPL), (TXN)
Global Market Comments
December 28, 2020
SPECIAL ISSUE ABOUT THE FAR FUTURE
(PEEKING INTO THE FUTURE WITH RAY KURZWEIL),
(GOOG), (INTC), (AAPL), (TXN)
This is the most important research piece you will ever read, bar none. But you have to finish it to understand why. So, I will get on with the show.
I have been hammering away at my followers during virtual investment conferences and webinars this year about one recurring theme. Things are good, and about to get better, a whole lot better.
The driver will be the exploding rate of technological innovation in electronics, biotechnology, and energy. The 2020s are shaping up to be another roaring twenties, and asset prices are going to go through the roof.
To flesh out some hard numbers about growth rates that are realistically possible and which industries will be the leaders, I hooked up with my old friend, Ray Kurzweil, one of the most brilliant minds in computer science.
Ray is currently a director of Engineering at Google (GOOG), heading up a team that is developing stronger artificial intelligence. He is an MIT grad, with a double major in computer science and creative writing. He was the principal inventor of the CCD flatbed scanner, the first text-to-speech synthesizer, and the commercially marketed large-vocabulary speech recognition.
When he was still a teenager, Ray was personally awarded a science prize by President Lyndon Johnson. He has received 20 honorary doctorates and has authored 7 books. It was upon Ray’s shoulders that many of today’s technological miracles were built.
His most recent book, The Singularity is Near: When Humans Transcend Biology, was a New York Times bestseller. In it, he makes hundreds of predictions about the next 100 years that will make you fall out of your chair.
I met Ray at one of my favorite San Francisco restaurants, Morton’s on Sutter Street. I ordered a dozen oysters; a filet mignon wrapped in bacon and drowned it all down with a fine bottle of Duckhorn merlot. Ray had a wedge salad with no dressing, a giant handful of nutritional supplements, and a bottle of water. That’s Ray, one cheap date.
The Future of Man
A singularity is defined as a single event that has monumental consequences. Astrophysicists refer to the big bang and black holes in this way. Ray’s singularity has humans and machines merging to become single entities, partially by 2040 and completely by 2100.
All of our thought processes will include built-in links to the cloud, making humans super smart. Skin that absorbs energy from the sun will eliminate the need to eat. Nanobots will replace blood cells, which are far more efficient at moving oxygen. A revolution in biotechnology will enable us to eliminate all medical causes of death.
Most organs can now be partially or completely replaced. Eventually, they all will become renewable by taking one of your existing cells and cloning it into a completely new organ. We will become much more like machines, and machines will become more like us.
The first industrial revolution extended the reach of our bodies, and the second is extending the reach of our minds.
And, oh yes, prostitution will be legalized and move completely online. Sounds like a turn-off? How about virtually doing it with your favorite movie star? Your favorite investment advisor? Yikes!
Ironically, one of the great accelerants towards this singularity has been the war in Iraq. More than 50,000 young men and women came home missing arms and legs (in Vietnam, these were all fatalities, thanks to the absence of modern carbon fiber body armor).
Generous government research budgets have delivered huge advances in titanium artificial limbs and the ability to control them only with thoughts. Quadriplegics can now hit computer keystrokes merely by thinking about them.
Kurzweil argues that exponentially growing information technology is encompassing more and more things that we care about, like health care and medicine. Reprogramming of biology will be the next big thing and is a crucial part of his “singularity.”
Our bodies are governed by obsolete genetic programs that evolved in a bygone era. For example, over millions of years, our bodies developed genes to store fat cells to protect against a poor hunting season in the following year. That gave us a great evolutionary advantage 10,000 years ago. But it is not so great now, with obesity becoming the country’s number one health problem.
We would love to turn off these genes through reprogramming, confident that the hunting at the supermarket next year will be good. We can do this in mice now, which in experiments, can eat like crazy, but never gain weight.
The happy rodents enjoy the full benefits of caloric restriction, with no hint of diabetes or heart disease. A product like this would be revolutionary, not just for us, health care providers, and the government, but, ironically, for fast-food restaurants as well.
Within the last five years, we have learned how to reprogram stem cells to rebuild the hearts of heart attack victims. The stem cells are harvested from skin cells, not human embryos, ducking the political and religious issue of the past.
And if we can turn off genes, why not the ones in cancer cells that enable them to pursue unlimited reproduction, until they kill their host? That development would cure all cancers and is probably only a decade off.
The Future of Computing
If this all sounds like science fiction, you’d be right. But Ray points out that humans have chronically underestimated the rate of technological innovation.
This is because humans evolved to become linear thinking animals. If a million years ago, we saw a gazelle running from left to right, our brains calculated that one second later, it would progress ten feet further to the right. That’s where we threw the spear. This gave us a huge advantage over other animals and is why we became the dominant species.
However, much of science, technology, and innovation grows at an exponential rate and is where we make our most egregious forecasting errors. Count to seven, and you get to seven. However, double something seven times and you get to a billion.
The history of the progress of communications is a good example of an exponential effect. Spoken language took hundreds of thousands of years to develop. Written language emerged thousands of years, books in a hundred years, the telegraph in a century, and telephones 50 years later.
Some ten years after Steve Jobs brought out his Apple II personal computer, the growth of the Internet went hyperbolic. Within three years of the iPhone launch, social media exploded out of nowhere.
At the beginning of the 20th century, $1,000 bought 10 X -5th power worth of calculations per second in our primitive adding machines. A hundred years later a grand got you 10 X 8th power calculations, a 10 trillion-fold improvement. The present century will see gains many times.
The iPhone itself is several thousand times smaller, a million times cheaper, and billion times more powerful than computers of 40 years ago. That increases price per performance by the trillions. More dramatic improvements will accelerate from here.
Moore’s law is another example of how fast this process works. Intel (INTC) founder Gordon Moore published a paper in 1965 predicting a doubling of the number of transistors on a printed circuit board every two years. Since electrons had shorter distances to travel, speeds would double as well.
Moore thought that theoretical limits imposed by the laws of physics would bring this doubling trend to end by 2018 when the gates become too small for the electrons to pass through. For decades, I have read research reports predicting that this immutable deadline would bring an end to innovation and technological growth and bring an economic Armageddon.
Ray argues that nothing could be further from the truth. A paradigm shift will simply allow us to leapfrog conventional silicon-based semiconductor technologies and move on to bigger and better things. We did this when we jumped from vacuum tubes to transistors in 1949, and again in 1959 when Texas Instruments (TXN) invented the first integrated circuit.
Paradigm shifts occurred every ten years in the past century, every five years in the last decade, and will occur every couple of years in the 2020s. So fasten your seatbelts!
Nanotechnology has already allowed manufacturers to extend the 2018 Moore’s Law limit to 2022. On the drawing board are much more advanced computing technologies, including calcium-based systems, using the alternating direction of spinning electrons, and nanotubes.
Perhaps the most promising is DNA-based computing, a high research priority at IBM and several other major firms. I earned my own 15 minutes of fame in the scientific world 40 years ago as a member of the first team ever to sequence a piece of DNA, which is why Ray knows who I am.
Deoxyribo Nucleic Acid makes up the genes that contain the programming that makes us who we are. It is a fantastically efficient means of storing and transmitting information. And it is found in every single cell in our bodies, all 10 trillion of them.
The great thing about DNA is that it replicates itself. Just throw it some sugar. That eliminates the cost of building the giant $2 billion silicon-based chip fabrication plants of today.
The entire human genome is a sequential binary code containing only 800 MB information, which after you eliminate redundancies, has a mere 30-100 MB of useful information, about the size of an off-the-shelf software program, like Word for Windows. Unwind a single DNA molecule, and it is only six feet long.
What this means is that, just when many believe that our computer power is peaking, it is in fact just launching on an era of exponential growth. Supercomputers surpassed human brain computational ability in 2012, about 10 to the 16th power (ten quadrillions) calculations per second.
That power will be available on a low-end laptop by 2020. By 2050, this prospective single laptop will have the same computing power of the entire human race, about 9 billion individuals. It will also be small enough to implant in our brains.
The Future of the Economy
Ray is not really that interested in financial markets, or for that matter, making money. Where technology will be in a half-century and how to get us there are what get his juices flowing. However, I did manage to tease a few mind-boggling thoughts from him.
At the current rate of change, the 21st century will see 200 times the technological progress that we saw in the 20th century. Shouldn’t corporate profits, and therefore share prices, rise by as much?
Technology is rapidly increasing its share of the economy and increasing its influence on other sectors. That’s why tech has been everyone’s favorite sector for the past 30 years and will remain so for the foreseeable future. For two centuries, technology has been eliminating jobs at the bottom of the economy and creating new ones at the top.
Stock analysts and investors make a fatal flaw estimating future earnings based on the linear trends of the past, instead of the exceptional growth that will occur in the future.
In the last century, the Dow appreciated from 100 to 10,000, an increase of 100 times. If we grow at that rate in this century, the Dow should increase by 10,000% to 1 million by 2100. But so far, we are up only 6%, even though we are already 14 years into the new century.
The index is seriously lagging but will play catch-up in a major way during the 2020s when economic growth jumps from 2% to 4% or more, thanks to the effects of massively accelerating technological change.
Some 100 years ago, one-third of jobs were in farming, one-third were in manufacturing, and one third in services. If you predicted then that in a century, farming and manufacturing would each be 3% of total employment and that something else unknown would come along for the rest of us, people would have been horrified. But that’s exactly what happened.
Solar energy use is also on an exponential path. It is now 1% of the world’s supply but is only seven doublings away from becoming 100%. Then we will consume only one 10,000th of the sunlight hitting the earth. Geothermal energy offers the same opportunities.
We are only running out of energy if you limit yourself to 19th century methods. Energy costs will plummet. Eventually, energy will be essentially free when compared to today’s costs, further boosting corporate profits.
Hypergrowth in technology means that we will be battling with deflation for the rest of the century, as the cost of production and price of everything falls off a cliff. That makes our 10-year Treasury bonds a steal at a generous 2.60% yield, a full 460 basis points over the real long-term inflation rate of negative 2% a year.
US Treasuries could eventually trade down to the 0.40% yields seen in Japan only a couple of years ago. This means that the bull market in bonds is still in its early stages and could continue for decades.
The upshot for all of these technologies will rapidly eliminate poverty, not just in the US but around the world. Each industry will need to continuously reinvent its business model or disappear.
The takeaway for investors that stocks, as well as other asset prices, are now wildly undervalued, given their spectacular future earnings potential. It also makes the Dow target of 1 million by 2100 absurdly low, and off by a factor of 10 or even 100. Will we be donning our “Dow 100 Million” then?
Other Random Thoughts
As we ordered dessert, Ray launched into another stream of random thoughts. I asked for Morton’s exquisite double chocolate mousse. Ray had another handful of supplements. Yep, Mr. Cheap Date.
The number of college students has grown from 50,000 to 12 million since the 1870s. A kid in Africa with a cell phone has more access to accurate information than the president of the United States did 15 years ago.
The great superpower, the Soviet Union, was wiped out by a few fax machines distributing information in 1991.
Company offices will become entirely virtual by 2025.
Cows are very inefficient at producing meat. In the near future, cloned muscle tissue will be produced in factories, disease-free, and at a fraction of the present cost, without the participation of the animal. PETA will be thrilled.
Use of nanomaterials to build ultra-light but ultra-strong cars cut fuel consumption dramatically. Battery efficiencies will improve by 10 to 100 times. Imagine powering Tesla Model S1 with a 10-pound battery! Advances in nanotube construction mean the weight of the vehicle will drop from the present 3 tons to just 100 pounds but will be far safer.
Ray is also on a scientific advisory panel for the US Army. Uncertain about my own security clearance, he was reluctant to go into detail. Suffice it to say that the weight of an M1 Abrams main battle tank will shrink from 70 tons to 1 ton but will be 100 times stronger.
A zero-tolerance policy towards biotechnology by the environmental movement exposes their intellectual and moral bankruptcy. Opposing a technology with so many positive benefits for humankind and the environment will inevitably alienate them from the media and the public, who will see the insanity of their position.
Artificial intelligence is already far more prevalent than you understand. The advent of strong artificial intelligence will be the most significant development of this century. You can’t buy a book from Amazon, withdraw money from your bank, or book a flight without relying on AI.
Ray finished up by saying that by 2100, humans will have the choice of living in a biological, or in a totally virtual, online form. In the end, we will all just be files.
Personally, I prefer the former, as the best things in life are biological and free!
I walked over to the valet parking, stunned and disoriented by the overload of insight I had just obtained, and it wasn’t just the merlot talking, either! Imagine what they talk about at Google all day.
To buy The Singularity is Near at discount Amazon pricing, please click here. It is worth purchasing the book just to read Ray’s single chapter on the future of the economy.
Global Market Comments
September 25, 2020
(HERE’S MY NEXT CHIP TEN BAGGER),
(AMD), (INTC), (NVDA), (MU)
Global Market Comments
September 23, 2020
(AN INSIDER’S GUIDE TO THE NEXT DECADE OF TECH INVESTMENT),
(AMZN), (AAPL), (NFLX), (AMD), (INTC), (TSLA), (GOOG), (FB)
Global Market Comments
December 27, 2019
SPECIAL ISSUE ABOUT THE FAR FUTURE
(PEAKING INTO THE FUTURE WITH RAY KURZWEIL),
(GOOG), (INTC), (AAPL), (TXN),
Global Market Comments
October 18, 2019
(OCTOBER 16 BIWEEKLY STRATEGY WEBINAR Q&A),
(SPX), (C), (GM), (IWM), ($RUT), (FB),
(INTC), (AA), (BBY), (M), (RTN), (FCX), GLD)
Below please find subscribers’ Q&A for the Mad Hedge Fund Trader October 16 Global Strategy Webinar broadcast from Silicon Valley, CA with my guest and co-host Bill Davis of the Mad Day Trader. Keep those questions coming!
Q: How do you think the S&P 500 (SPX) will behave with the China trade negotiations going on?
A: Nobody really knows; no one has any advantage here and logic or rationality doesn’t seem to apply anymore. It suffices to say it will continue to be up and down, depending on the trade headline of the day. It’s what I call a “close your eyes and trade” market. If it’s down, buy it; if it’s, upsell it.
Q: How long can Trump keep kicking the can down the road?
A: Indefinitely, unless he wants to fold completely. It looks like he was bested in the latest round of negotiations because the Chinese agreed to buy $50 billion worth of food they were going to buy anyway in exchange for a tariff freeze. Of course, you really don’t get a trade deal unless you get a tariff roll back to where they were two years ago.
Q: Did I miss the update on the Citigroup (C) trade?
A: Yes, we came out of Citigroup a week ago for a small profit or a break-even. You should always check our website where we post our trading position sheet every day as a backstop to any trade alerts you’re getting by email. Occasionally emails just go completely missing, swallowed up by the ether. To find it go to www.madhedgefundtrader.com , log in, go to My Account, Global Trading Dispatch, then Current Positions. You can also find my newly updated long-term portfolio here.
Q: How much pain will General Motors (GM) incur from this standoff, and will they ever reach a compromise?
A: Yes, the union somewhat blew it in striking GM when they had incredibly high inventories which the company is desperate to get rid of ahead of a recession. If you wonder where all those great car deals are coming from, that’s the reason. All of the car companies want to go into a recession with as little inventory as possible. It’s not just GM, it’s everybody with the same problem.
Q: When does the New Daily Position Sheet get posted?
A: About every hour after the close each day. We need time to process our trades, update all the position sheets before getting it posted.
Q: What do you think about Bitcoin?
A: We hate it and don’t want to touch it. It’s unanalyzable, and only the insiders are making money.
Q: Are you predicting a repeat of Fall 2018 going into the end of this year to close at the lows?
A: No, I’m not. A year ago, we were looking at four interest rate increases to come. This year we’re looking at 1 or 2 more interest rate cuts. It’s nowhere near the situation we saw a year ago. The most we’re going to get is a 7% selloff rather than a 20% selloff and if anything, stocks will rise into the yearend then fall.
Q: Why are we trading the Russell 200 (IWM) instead of the ($RUT) Small Cap Index? We pay less commissions to brokers.
A: There’s more liquidity in the (IWM). You have to remember that the combined buying power of the trade alert service is about $1 billion. And that’s harder to do with smaller illiquid ETFs like the ($RUT), especially the options.
Q: If this is a “Don’t fight the Fed” rally for investors, where else is there to go but stocks?
A: Nowhere. But it’s happening in the face of an oncoming recession, so it’s not exactly a great investment opportunity, just a trading one. 2009 was a great time not to fight the Fed.
Q: Do you want to buy Facebook (FB) even though there are so many threats of government scrutiny and antitrust breakups?
A: The anti-trust breakups are never going to happen; the government can’t even define what Facebook does. There may be more requirements on disclosures, which means nothing because nobody really cares about disclosures—they just click the box and agree to anything. I was actually looking at this as a buy when we had the big selloff at the end of September and instead, I bought four other Tech stocks and (FB) had moved too far when we got around to it. I think there’s upside potential for Facebook, especially if we can move out of this current range.
Q: Would you sell short European banks? It seems like they’re cutting jobs right and left.
A: I always get this question after big market meltdowns. European banks have been underpricing risks for decades and now the chickens are coming home to roost. Some of these things are down 80-90% so it’s too late to sell short. The next financial crisis is going to be in Europe, not here.
Q: Is it time to short Best Buy (BBY) due to the China deal?
A: No, like Macys (M), Best Buy is heavily dependent on imports from China, and the stock has gotten so low it’s hard to short. And the problem for the whole market in general is all the best sectors to short are already destroyed, down 80-90%. There really is nothing left to short, now that all the bad sectors have been going down for nearly two years. There has been a massive bear market in large chunks of the market which no one has really noticed. So, that might be another reason the market is going up—that we’ve run out of things to short.
Q: Do you like Intel (INTC)?
A: Yes, for the long term. Short term it still could face some headwinds from the China negotiations, where they have a huge business.
Q: Would you buy American Airlines (AA) on the return of Boeing 737 MAX to the fleet?
A: Absolutely, yes. The big American buyers of those planes are really suffering from a shortage of planes. A return of the 737 MAX to the assembly line is great news for the entire industry.
Q: Do you like Raytheon (RTN)?
A: No, Trump has been the defense industry’s best friend. If he exits in the picture, defense will get slaughtered—it will be the first on the chopping block under a future democratic administration. And, if you’re doing nothing but retreating from your allies, you don’t need weapons anyway.
Q: Will Freeport McMoRan (FCX) benefit from a trade war resolution?
A: Yes, the fact that it isn’t moving now is an indication that a trade war resolution has not been reached. (FCX) has huge exposure to traditional metal bashing industries like they still have in China.
Q: Would you go long or short gold (GLD) here?
A: No, I’m waiting for a bigger dip. If you can get in close to the 200-day moving average at $129.50, that would be the sweet spot. Longer term I still like gold and it is a great recession hedge.
Good Luck and Good Trading!
CEO & Publisher
The Diary of a Mad Hedge Fund Trader
Global Market Comments
September 10, 2019
SPECIAL ARTIFICIAL INTELLIGENCE ISSUE
(NEW PLAYS IN ARTIFICIAL INTELLIGENCE),
(NVDA), (AMD), (ADI), (AMAT), (AVGO), (CRUS),
(CY), (INTC), (LRCX), (MU), (TSM)
It’s been three years since I published my first Special Report on artificial intelligence and urged readers to buy the processor maker NVIDIA (NVDA) at $68.80.
The stock quadrupled, readers are understandably asking me for my next act in the sector.
The good news is that I have one.
For a start, you could go out and buy NVIDIA again.
With an explosive 50% annual earnings growth, a near-monopoly in super fast processors, and a huge lead over the competition, I think there is another double in the shares that could take the price up to a stratospheric $300. Its newest super-fast graphics card, the Turing, promises to be a real barn burner and dominate the industry yet again.
But I can do better than that.
The good news if you are new to this sector is that the entire AI space has started to broaden out to offer a host of investment opportunities beyond the tiny handful I first mentioned in 2016.
These include legacy chipmakers, survivors of the great Dotcom bust, whose shares have barely moved in years.
Yes, there is such a thing as a cheap AI stock. To find out who they are, read on.
The reason for the expansion of the AI sector is that practically overnight these ultra-sophisticated algorithms have become essential to any company that wants to survive in online commerce or stay in business….period.
Those of us who have been in this business for more than 15 minutes have seen this pattern before, and the resulting impact on share prices: the Boeing 707, the personal computer, Windows, the Internet, and the smart cell phone.
AI is everywhere.
In the old days, visiting a website and window-shopping their products was easy. You just clicked around a few times and then moved on to the next site.
Now if you click on a product once, that site will follow you around relentlessly for months, appearing in the margins of your emails, offering you endless discounts and special deals.
I bought a Dell computer six months ago, and it is still pounding away at me with better offers. I feel like such a dummy buying a machine at the first price asked.
That is all AI.
The auto industry is now a major growth industry for AI. Even a simple garden-variety vehicle needs 100 chips just to operate.
The gull-wing doors on my new Tesla Model X each has its own learning program. They never open the same way twice.
In fact, when I first picked up the car last year, the salesman warned by saying it would be “stupid” for the first 3,000 miles.
It had to “learn” how to drive before I let it attempt any sophisticated self-driving maneuvers, like backing into a parking space on a crowded street.
I let it park itself in my garage now. I have only had a heart attack once.
With US annual auto production at 16.7 million units annualized, and global car and commercial vehicle production at a record 94.64 million, that is a lot of processors.
I have been covering Silicon Valley since it was a verdant, sun-kissed peach orchard in Northern California.
I have to say that in the half-century that I have followed the technology industry, I have never seen the principals, gurus, and visionaries so excited about a major new trend like AI.
Asking if AI is relevant now is like pondering the future of Thomas Edison’s new electricity invention in 1890.
If you think that AI still belongs in the realm of science fiction, you obviously didn’t get the memo. It is all around us all the time, 24/7. You just don’t know it yet.
And here’s the rub.
It is impossible to invest purely in AI.
All-new AI startups comprise small teams of experts from private labs and universities financed by big venture capital firms like Sequoia Capital, Kleiner Perkins, and Andreeson Horowitz.
After developing software for a year or two, they are sold on to major technology firms at huge premiums. They never see the light of day in the form of a public listing.
Alphabet (GOOGL) acquired Britain-based Deep Mind in 2014. Later that year, Google’s AlphaGo program defeated the world’s top-ranked Go player.
In 2016, Microsoft (MSFT) purchased Equivio, a small firm that applies AI to advanced document searches on the Internet.
Amazon (AMZN) recently bought out Orbeus, a startup known for machine learning tools for image recognition.
Amazon’s Jeff Bezos now says that his Amazon Fresh home food delivery service is using AI to grade strawberries.
We’re not talking small potatoes here.
The global artificial intelligence market is expected to grow at an annual rate of 44.3% a year to $23.5 billion by 2025.
Nearly half of all applications now use some form of AI that by 2020 will earn businesses an extra $60 billion a year in profits.
And from what I have learned from speaking to the major players over the last few weeks, I am convinced that these are low numbers by an order of magnitude.
I have been following developments in artificial intelligence since the 1960s.
There were those feeble computer dating attempts in the early seventies where we all had to prepare IBM punch cards.
I was matched with an annoyingly aggressive bleach blonde real estate agent. (Really?). Her only real qualification was that she was female.
It took decades and tens of thousands of programming man-hours before IBM’s Deep Blue could become a chess grandmaster in 1996, defeating Gary Kasparov.
Big Blue’s latest effort came to us with Watson in 2007, an 85,000-watt behemoth with 90 servers and 15 terabytes of data, or three quarters of the content of the entire Library of Congress.
The machine can read a staggering 1 million books a second. IBM has so far poured $15 billion into the project.
In 2011, Watson defeated the top-rated Jeopardy game show contestant by answering the question “What city’s national museum lost the “Lion of Nimrod.” The answer was “What is Baghdad” (I knew that!).
Today, Watson is on loan to the University of North Carolina at Chapel Hill where it has been deployed to cure cancer.
It took scientists a week to teach Watson how to read medical literature. In the second week, it read every paper published on cancer, some 25 million.
By the third week, it was proposing customized cures for advanced cancer patients, which achieved a 33% success rate.
After all, it can read all of the 8,000 cancer papers that are published every day from around the world IN SECONDS!
Scientists say that Watson has so far reached only 1% of its true potential.
It gets better than that.
A clinic can now biopsy your tumor, sequence its DNA, design a custom protein that will target and destroy your personal tumor, mass-produce it, inject it in your tumor, and cure you of cancer in a month.
This is being done with human volunteers in clinical trials NOW.
Expect this procedure to go retail and be made available to you in about five years. And by that, I mean cheap, locally available, and covered by your health insurance policy.
I believe that Watson and its future offspring will cure the major human maladies within a decade. My generation will probably be the last to suffer serious disease.
It isn’t just Watson that will take us the great leap forward in computing. By 2020, you will be able to buy a low-end laptop for $500 that can hold ALL KNOWLEDGE ACCUMULATED IN HUMAN HISTORY!
They better hurry. That body of knowledge is doubling every 18 months!
It is a key part of my argument that the US will enjoy a Golden Age and see a return of the “Roaring Twenties” during the 2020s.
If you have in any way been involved in the stock market for the past five years, AI has invaded your life.
High frequency trading and hedge funds now account for 70% of the daily trading volume on the major stock exchanges, and almost all of this is AI-driven.
Having spent my entire life trading stocks, I can confirm that in recent years the market’s character has dramatically changed, and not for the better. Call it trading untouched by human hands.
Algorithms are trading against algorithms, and whoever wins the nuclear arms race brings home the big bucks.
You used to need degrees in Finance and Economics, or perhaps an MBA, to become a professional fund manager. Now it’s a Ph.D. in Computer Science.
Remember the May 2010 flash crash when the Dow Average plunged 1,100 points in minutes wiping out $4.1 billion in equity value? AI’s fingerprints were all over that.
In 2016, the British pound lost 6% of its value in a mere two minutes, a move unprecedented in the history of foreign exchange markets. The culprit was AI.
Don’t expect the path forward to AI to be an easy one.
Indeed, the machines already have the power of life and death over all of us.
No less figures than Nobel Prize winner Dr. Stephen Hawking and Tesla’s Elon Musk have warned that computers and the Internet may have the power to pose a threat to human existence within a decade.
They are especially concerned about the militarization of powerful robots, something I know the US Defense Department is hell-bent on developing.
As I write this, the only thing preventing a drone attacking a village in Afghanistan is an Army corporal hitting a red button on a console in Nevada.
In the future, antivirus software won’t be needed to protect your computer. It will be essential to protect you FROM your computer.
You know that massive denial of service attack that hit the United States on October 21, 2016?
I asked one of my friends at security giant Palo Alto Networks (PANW) if it was the Russians again. He replied, “You better hope it’s the Russians.”
The implication is that the Internet may have launched the attack itself.
Now, about that stock recommendation.
Since we aren’t venture capitalists, we can’t buy into pure AI firms in their early stages. And I’m too old to get a Ph.D. in computer science.
We, therefore, have to be sneaky and get in through the back door via an indirect play which still has plenty of upside leverage.
My current favorite among the AI alternative stocks is Advanced Micro Devices (AMD).
If Intel only piques your appetite for AI stocks and you feel you need another serving, I have listed below ten names that will benefit mightily from this once-a-century opportunity.
AI Stock to BUY
Advanced Micro Devices (AMD)
Analogue Devices Communication (ADI)
Applied Materials (AMAT)
Cirrus Logic (CRUS)
Cypress Semiconductor (CY)
Lam Research (LRCX)
Micron Technology (MU)
Taiwan Semiconductor (TSM)
If you’re really lazy, you can just buy a basket of semiconductor stocks through an industry-specific ETF.
The largest is the VanEck Vectors Semiconductor ETF (SMH), with $1.3 billion in assets under management. For a prospectus on the fund, please click here.
Or you could just stick with NVIDIA.
No matter how you want to slice and dice it, AI should be a dominant factor in your IRA, 401k, or benefit plan.
And you are a trader by nature, this will be a great sector to trade around.
As for your computer, you better start leaving it unplugged at night.
You never know.
Mad Hedge Technology Letter
August 5, 2019
(THE CHINA TARIFF BOMBSHELL AND TECHNOLOGY),
(AAPL), (NVDA), (INTC), (MU), (WDC), (BBY)
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