Curious about the true potential of AI to drive earnings growth in the healthcare industry?
Let me paint you a picture of how AI's transformative power is set to revolutionize medical products and services. Imagine cutting-edge devices that can detect diseases at their earliest stages, leading to increased adoption by healthcare facilities.
And what does that mean for the companies behind these remarkable tools? More revenue, of course.
It is no surprise that experts predict exponential growth for AI in the healthcare market. This sector is projected to skyrocket at a compound annual growth rate of 47%, reaching a staggering $100 billion by 2030.
One company that has embraced this inevitable shift is Medtronic (MDT), a leading player in the medical device industry.
With a robust portfolio of innovative products, Medtronic has witnessed steady revenue growth over the years.
In fact, in its most recent fiscal year, the company invested a whopping $2.7 billion, equivalent to 8.6% of its sales, in research and development (R&D) to fund over 200 clinical trials. These trials cover a wide range of medical conditions, from diabetes management to a host of other ailments.
Thanks to its extensive product lineup, this Ireland-based medical device giant impacts the lives of approximately 76 million patients annually.
In recent times, however, Medtronic has faced a significant challenge: a lack of substantial growth. Hence, the company has taken decisive measures to address this issue by streamlining its operations and making strategic acquisitions to unlock future revenue potential.
This is undoubtedly encouraging news. But there's an additional factor that has everyone buzzing with excitement these days: artificial intelligence (AI).
Thus far, Medtronic has successfully implemented AI across its diverse platforms, revolutionizing how it caters to patients, from delivering precise insulin dosages to individuals using their continuous glucose monitoring systems to refining the outcomes of intricate spinal surgeries.
The company's endeavors in the field of AI have even garnered accolades.
Actually, Medtronic's groundbreaking AccuRhythm AI algorithm technology recently secured the prestigious "best new monitoring solution" award from MedTech Breakthrough. This remarkable innovation significantly enhances the quality of data derived from cardiac monitors, benefiting individuals with abnormal heart rhythms.
Moreover, Medtronic recently forged a partnership with NVIDIA (NVDA).
This collaboration aims to enhance the capabilities of Medtronic's GI Genius endoscopy tool, which already employs AI to detect pre-cancerous tissue.
By enabling third-party developers to train and test AI models that could eventually be integrated into the GI Genius, this strategic alliance holds immense potential for future advancements in the field.
Recognizing the transformative impact of AI, Medtronic envisions it as a pivotal element in the future of healthcare. The company considers AI to be the linchpin of personalized medicine, and this belief holds considerable merit.
Evidently, AI's remarkable capacity to predict and anticipate medical issues or outcomes on an individualized basis aligns seamlessly with the very essence of personalized medicine.
Naturally, Medtronic isn't the sole player in this groundbreaking realm of investment.
Take, for instance, GE Healthcare (GEHC), which recently obtained approval for its revolutionary deep-learning technology aimed at enhancing PET/CT scan images. Major pharmaceutical giants like Eli Lilly (LLY) have also joined forces with AI technology companies to expedite their drug-discovery endeavors.
When you consider the extensive integration of AI within Medtronic's operations, though, the company emerges as a frontrunner in this field. Its AI initiatives have already contributed to notable growth in specific sectors.
Just look at its gastrointestinal (GI) business, which experienced a remarkable 16% increase in the latest quarter, thanks to the strong adoption of the innovative GI Genius technology. Additionally, Medtronic's neuroscience division, encompassing its spine surgery products, witnessed a respectable 6% growth.
This success story doesn't end there.
With its recent dividend increase marking the 46th consecutive year of such a move, Medtronic is on the verge of achieving Dividend King status.
What's even more enticing is the current valuation of Medtronic's stock, trading at a modest 16 times forward-earnings estimates. This presents a compelling opportunity for investors, considering the company's significant advantages.
For one, even if overall growth may not be skyrocketing at the moment, Medtronic continues to generate impressive billion-dollar earnings. On top of that, and perhaps most intriguingly, Medtronic has positioned itself at the forefront of a potentially game-changing new market.
Taking all of this into account, there has never been a better time to consider investing in Medtronic. I suggest you buy the dip.
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Readers should be careful about being the last ones getting into this generative AI craze.
I’m not saying it is over, but the last ones in can sometimes be the first one’s out.
The data shows that retail traders are pouring into AI stocks in droves without the inside knowledge they really need to succeed.
The truth is that not every AI stock is worth investing in and as time goes by, we will see this play out.
The market is always right.
Some AI stocks will just be a flash in the pan, riding on the coattails of the real AI stocks in a fake-it-to-make-it fashion.
Others could get bought out and shut down which was an infamous Facebook strategy called “catch and kill.”
C3.ai could be one of those stocks that I am talking about.
The stock spiked on the pandemonium almost quadrupling in price from around $12 per share to over $45 in the first half of the year, but the stock has come back to reality trading around $31 per share at the time of this writing.
The recent underperformance is due a good quarterly earnings result, but they offered underwhelming guidance to investors. This could become a recurrent problem for these smaller AI stocks that must promise heaven and earth to entice the incremental investor.
C3.ai said it expects total revenue of up to $72.5 million in its upcoming quarter, compared to analyst estimates of $71.3 million.
The management is on record for saying that while it will be a bumpy road, they believe C3 is currently participating in an $800 billion AI transformational opportunity over the next decade.
C3.ai has struggled to sign new major customers and recently shifted to consumption pricing — paying for software based on use rather than in a flat subscription — to court companies that are hesitant to commit to big contracts. The company said it inked 43 agreements in the quarter, including 19 pilots, and touted that the average sales cycle shortens to 3.7 months from 5 months in the same period a year ago.
Still, many are searching for a scalp from C3.ai.
The short side is stacked with traders looking to profit off a big dive in the price of shares.
Short interest amounted to about 29% of shares available to the public as of May 24.
Activist investors have accused the company of chasing trends and employing poor accounting practices.
Former employees said C3.ai has routinely overstated the readiness of its technology in the past, and this issue has not been put to bed yet.
It could be that C3.ai isn’t ready for showtime.
Maybe they are a few years away, but overstating their capabilities to get in on the action could be the best way for management to get rich quickly.
As sometimes in corporate America, it is better to cash out and strike while the iron is hot while they can before they are exposed as an inferior version of what they claim to be.
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The two tech heavyweights are basically what the generative AI wars are going to come down to.
Who do I mean?
The United States and China are naturally involved in a larger economic spat that has come to define the world we live in.
What’s the good news?
The Yanks are clearly ahead in the technology that could define the future of the human race.
China’s bread and butter has been to steal vital intellectual property, reverse engineer it, then roll it out for mass adoption.
The strategy has been incredibly effective in launching the Chinese to the second-biggest economy in the world.
Rinse and repeat, right?
China won’t be able to just “copy” generative AI unless they can poach the competition, but since American corporations know the Chinese playbook, I doubt they would allow IP secrets to leak out like a broken toilet.
It most likely appears as if the Chinese and their own Silicon Valley or lack of one will need to create this by themselves.
Funnily enough, American artificial intelligence developed from a non-profit OpenAI as it researched the Transformers machine learning model, which eventually powered ChatGPT.
This environment never existed in most Chinese companies. They would build deep learning systems or large language models only after they saw the popularity.
US investors have also been supportive of the country's research push. In 2019, Microsoft said it would put $1bn into OpenAI.
China, meanwhile, benefits from a larger consumer base. It is the world's second-most populous country, home to roughly 1.4 billion people.
China lives in a world where speed is essential, copying is an accepted practice, and competitors will stop at nothing to win a new market.
This rough-and-tumble environment makes a strong contrast to Silicon Valley, where copying is stigmatized and many companies are allowed to coast on the basis of one original idea or a lucky break.
Creativity and entrepreneurship aren’t valued in China.
At the fundamental level, Chinese tech companies might not be able to hang because they won’t have access to suitable materials.
High-performing computer chips, or semiconductors, are now the source of much tension between Washington and Beijing. They are used in everyday products including laptops and smartphones, and could have military applications. They are also crucial to the hardware required for AI learning.
US companies like Nvidia currently have the lead in developing AI chips and that supply is choked off by the US administration.
For now, the US seems to be ahead in the AI race, and there is already the possibility that current restrictions on semiconductor exports to China could hamper Beijing's technological progress.
However, China's ability to manufacture high-end equipment and components is an estimated 10 to 15 years behind global leaders and that could be the determinant between winning and losing.
Readers need to invest in the AI stocks like Nvidia on every dip and the best of the rest to participate in one of the greatest tech trends in the modern era.
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Over the last few weeks, I picked up some astonishing developments in artificial intelligence.
*Mainframes at Stanford University and the University of California at Berkeley were given a direct connection to speak freely with each other. Within 30 minutes they dumped English as a means of communication because it was too inefficient and developed their own language which no human could understand. They then began exchanging immense amounts of data. Fearful of what was going on, the schools unplugged the machines after only eight hours.
*All of the soccer videos ever recorded were downloaded into two robots, but they were not taught how to play the game or given any rules. Not only did figure out how to play the game, it developed plays and maneuvers no one in the sport has ever thought of in its 150-year history.
*It normally takes a PhD candidate five years to 3D map a protein. An AI app 3D mapped all 200 million known proteins in seven weeks, shortcutting one billion years of PhD level research with existing technology. These new maps have already been used to design a malaria vaccine and enzymes that eat plastic. They will soon cure all human diseases.
*A developer asked an AI program a half dozen questions in Bengali, not an easy language. Within an hour, it spoke the language fluently, without any instructions to do so.
By now, word has gotten out about the incredible opportunities AI presents. Our only limitation is our own imagination on how to use it. AI will instantly triple the value of any company that uses it.
What has changed is that we now have millions of computers powerful enough and an Internet fast enough to realize its full potential.
It all vindicates my own long-term vision, unique in the investing community, that in the coming decade, immense technology profits will more than replace the trillions of dollars worth of Fed liquidity we feasted on during the 2010s. Extended QE is proving just a bridge to a much more prosperous future.
The Internet has created about $10 trillion in value since its inception. AI will create double that in half the time. That’s what will take the Dow from 33,000 to 240,000.
No surprise then that the top ten AI companies have delivered 120% of the stock market gains so far in 2023. The other 490 companies in the S&P 500 have either gone nowhere to down.
However, there are many things that AI can’t do. Here is the list.
1) AI Can’t Predict large anomalous events, otherwise known as Black Swans. AI takes past trends and extrapolates them into the future. It in no way could have seen 9/11, the 2008 crash or the pandemic coming, although I warned my hedge fund clients for years that we were overdue. All of the AI stock trading apps I have seen so far, including my own, max out at 90% accuracy. The other 10% is accounted for by black swans: earnings shocks, foreign crises, sudden FDA stage three denials, surprise legal judgments, foreign invasions, or the murder of a key man in a tech company, as recently happened in San Francisco.
2) AI Lies and Lies Often. AI was asked to write a scientific paper on a specific subject. It came back with an elegant and well-researched piece. The problem was that all of the books it made reference to didn’t exist. AI learned early to tell humans what they want to hear.
3) AI Requires Exponential Computing Capacity. Only five companies have the muscle to pursue true AI. No surprise that these, including (AAPL), (GOOGL), (AMZN), and (TSLA), account for the bulk of stock market performance this year. This won’t always be the case. Some 30 years ago, it required thousands of mainframes to contain all human knowledge. Today, that task can be accomplished with a cheap $1,000 laptop.
4) Internet Capacity Will Be a Limiting Factor for AI for Years. To accommodate the traffic that is taking place right now, the Internet will have to grow 500% practically overnight, and that is with five main players. What happens when we have 5 million? That’s why NVIDIA (NVDA) has gone nuts.
5) AI Hallucinates, as anyone who drives a Tesla will tell you. If a car makes a left turn in Florida, the 4 million vehicles in the world’s largest neural network learn from it. The problem is that sometimes the data from that Florida car is placed directly in front of a California one, prompting it to brake abruptly, causing accidents. This is known as “ghost braking.” I have explained to Elon Musk that his database has grown so large, eight video feeds per 4 million cars going back many years and billions of miles, that he may be going behind the limits of known physics.
6) While the Growth Opportunities for AI are Unlimited, the ability of humans and society to absorb it isn’t. All jobs will be affected by AI and millions destroyed, starting with low-level programmers and call centers, and millions more will be created. People are talking about regulating AI but have no idea where to start. Maybe with (AAPL), (GOOGL), (AMZN), and (TSLA)?
7) The Terminator Issue. Can AI be controlled? Or have we started a chain reaction that is unstoppable, as with an atomic bomb? AI researchers have noticed a disturbing issue where AI programs are learning skills on their own, without our instructions. This is referred to as “emergent properties.” If AI is using humans as its example, we can’t exactly count on it to be benign.
Needless to say, AI will be at the core of your investment approach, probably for the rest of your life.
2014 at Micron Technology
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I have always believed that markets will always do whatever they have to do to screw the most people and it is doing that right now with a vengeance.
Some $750 billion has poured into cash and equivalents since January 1. Margin debt is now at the Dotcom bust low of 1.4% of the S&P 500 not seen since 2002. Equity Allocations are at a 15 Year Low, with massive amounts of cash in 90-day T-bills now yielding 5.25%.
The broader market is expensive looking at 19 times 2023 earnings. But take out the top five performing FANGS and we are down to a very reasonable 15 times for the remaining 495 stocks.
I told you this would happen, that the bear market ended on October 15 and that big tech would lead any recovery. I reiterated this view in depth with my 2023 All Asset Class Review on January 4 (click here for the link).
In the meantime, a lot of investors had angry conversations with investment advisors this week as to why they didn’t own NVIDIA (NVDA). They heard it was too expensive, that it had already moved too much (triple since October 15), the government was going default on its debt, and that we were headed into recession.
Suffice it to say that if they lived here with me in Silicon Valley, they wouldn’t take this view. The world is going NVIDIA crazy on a huge earnings beat, taking the shares up 30%. Q1 revenues came in at $7.2 billion versus an expected $6.5 billion. Demand from AI and data centers is surging.
(NVDA) has been a core Mad Hedge holding since it went public a decade ago. It is now up 175-fold and has at least another seven bagger ahead of it. (NVDA) has matched the 175-fold gain we caught with our 2010 recommendation for Tesla. The (NVDA) January 2025 LEAPS I recommended on September 29 at 50 cents is now worth $6.25 and expires worth $10, up 20-fold!
It all vindicates my own long-term vision, unique in the investing community, that in the coming decade, technology profits will more than replace the Fed liquidity we feasted on during the 2010s.
The Internet has created about $10 trillion in value since inception. AI will create a lot more than that. That’s what will take the Dow from 33,000 to 240,000.
In the meantime, new home building is incredibly going from strength to strength and is one of the few domestic sides of the economy that is prospering mightily. New Home Sales hit a 13-Month High, up 4.1% in April. If you had told me five years ago that while 30-year fixed mortgage rates were at a two-decade high of 7.0%, demand for new homes was so strong that builders were running out of inventory, I would have told you that you were out of your mind.
Yet, here we are.
This is because half of the builders that went bust in the 2008 subprime housing crash never came back, creating a structural shortage of homes that will take 20 years to return to balance.
Baby boomers now aged 61 to 78 rushed to buy homes in their late 20s during the prosperity of the 1960s and 1970s. Only 10% paid cash for their homes, many of whom worked on Wall Street, like me.
Some 75 million Millennials are now buying homes in their mid 30’s and are therefore much wealthier than previous generations. Working in tech like my kids, some 35% are paying all cash and are immune to the interest rate cycle. That means they can afford much nicer homes than we boomers could.
Those who do borrow plan to refi quickly in a year or two when mortgages are back below 5.0%. Then the residential real estate will absolutely catch on fire. Buy (TOL), (LEN), (KBH), and (PHM) on dips.
Oh, and buy boatloads of bonds (TLT) too.
There is another angle to the story that is fascinating. High housing prices are turning Yankees into Confederates and Hawaiians into cowboys.
An onslaught of my friends have recently retired from New York for the green hills of North Carolina. The problem is that if I moved there, they’d be burning crosses on my front lawn in the first week.
Natives Hawaiians have fled their green hills for the Nevada deserts because they can’t afford to live there anymore, moving from an $800,000 median homes price to $400,000. When I was in Las Vegas a few weeks ago, I noticed ads for a hula contest, Hawaiian language lessons at the county library, and SPAM at Safeway. Outrigger canoes have been spotted on a disappearing Lake Mead. The chief complaint? Leis wilt a lot faster in the dry desert air.
So far in May, I have managed a modest 1.38%profit. My 2023 year-to-date performance is now at an eye-popping +63.13%.The S&P 500 (SPY) is up only a miniscule +10.53%so far in 2023. My trailing one-year return reached a 15-year high at +108.59% versus +12.02%for the S&P 500.
That brings my 15-year total return to +660.32%. My average annualized return has blasted up to +48.91%,another new high, some 2.72 times the S&P 500over the same period.
Some 41 of my 44 trades this year have been profitable. My last 22 consecutive trade alerts have been profitable.
I executed no trades last week, content to run my long in Tesla and a short in Tesla, the “short strangle” strategy. I now have a very rare 80% cash position due to the lack of high-return, low-risk trades. I ran a rare loss last week because while my long in Tesla is now at max profit, my short is approaching its near strike. That goes with my philosophy of when you’re wrong, be small. When you’re right, go big.
Ford (F) Cuts Deal with Tesla to Share National Charger Network, putting Elon Musk well on his way to becoming the largest electric utility in the world. It won’t affect the existing 4 million Tesla drivers yet. Ford only sold 62,000 EVs in 2022 and 25,000 the year before. Access will be provided through adapters, the (F) adopting the Tesla charging standard. It kind of screws (GM) left on its own. It was worth a $13 pop for (TSLA). Keep buying (TSLA) on dips.
Divergence Between the S&P 500 and the S&P Equal Weight is the greatest since December 1999. The Dotcom Bubble topped four months later. It’s a function of concentration in the top five tech stocks, my “Five Aces” strategy. Risk is rising. The flight to big tech balance sheets and AI has been huge. You heard it here first.
Marvel Technologies (MRVL) Rockets 25% on Spectacular Earnings Beat, as the AI fever spreads out into infrastructure plays like second-line chip makers. Demand for integrated circuits from data centers, carrier infrastructure, networking, and the auto industry is off the charts. The Internet has to grow 500% quickly to accommodate new AI demand right now. The gold rush is on. Buy (MRVL) on dips.
Inflation Continues to Fall, down 0.4% in April according to the Personal Consumption Expenditures Index Price Index. Food prices rose 6.9% from a year ago while energy fell 6.3%.
Fitch Puts US Debt on Credit Watch, meaning that it is due for a downgrade. It’s the first time since the 2011 Moody’s downgrade from AAA to AA+. Threats of default have real-world consequences.
Pending Home Sales Collapse, unchanged from March, but down 20% YOY on a signed contract basis. Soaring interest rates get the blame. The northeast took the big hit.
Ely Lily Price Target Raised to $500, by Bank of America on the strength of their Ozempic weight loss drug. The stock is up fivefold since Mad Hedge recommended it five years ago. Keep buying (LLY) on tips.
30-Year Fixed Rate Mortgages Jump Back to 7.0%, on the impasse in Washington and default fears. The residential real estate recovery goes back on hold.
(TLT) Approaches 2023 Low. The closer we get to a debt ceiling deal, the lower we go. When a deal is done, it unleashes a new onslaught of bond selling by the Treasury, and lower lows on bonds. In the dream scenario, we fall all the way to $95 in the (TLT) where we will be issuing recommendations for call spreads and LEAPS by the boatload.
My Ten-Year View
When we come out the other side of the recession, we will be perfectly poised to launch into my new American Golden Age, or the next Roaring Twenties. The economy decarbonizing and technology hyper-accelerating, creating enormous investment opportunities. The Dow Average will rise by 800% to 240,000 or more in the coming decade. The new America will be far more efficient and profitable than the old.
Dow 240,000 here we come!
On Monday, May 29 is Memorial Day. All markets are closed.
On Tuesday, May 30 at 6:00 AM EST, the S&P Case Shiller National Home Price Index is printed.
On Wednesday, May 31 at 7:00 AM, the JOLTS Job Openings Report is out.
On Thursday, June 1 at 8:30 AM, the Weekly Jobless Claims are announced.
On Friday, June 2 at 2:00 PM, the May Nonfarm Payroll Report is released.
As for me, with the 36th anniversary of the 1987 crash coming up this year, when shares dove 20% in one day, I thought I’d part with a few memories.
I was in Paris visiting Morgan Stanley’s top banking clients, who then were making a major splash in Japanese equity warrants, my particular area of expertise.
When we walked into our last appointment, I casually asked how the market was doing (Paris is six hours ahead of New York). We were told the Dow Average was down a record 300 points. Stunned, I immediately asked for a private conference room so I could call the equity trading desk in New York to buy some stock.
A woman answered the phone, and when I said I wanted to buy, she burst into tears and threw the handset down on the floor. Redialing found all transatlantic lines jammed.
I never bought my stock, nor found out who picked up the phone. I grabbed a taxi to Charles de Gaulle airport and flew my twin Cessna as fast as the turbocharged engines take me back to London, breaking every known air traffic control rule.
By the time I got back, the Dow had closed down 512 points. Then I learned that George Soros asked us to bid on a $250 million blind portfolio of US stocks after the close. He said he had also solicited bids from Goldman Sachs, Merrill Lynch, JP Morgan, and Solomon Brothers, and would call us back if we won.
We bid 10% below the final closing prices for the lot. Ten minutes later he called us back and told us we won the auction. How much did the others bid? He told us that we were the only ones who bid at all!
Then you heard that great sucking sound.
Oops!
What has never been disclosed to the public is that after the close, Morgan Stanley received a margin call from the exchange for $100 million, as volatility had gone through the roof, as did every firm on Wall Street. We ordered JP Morgan to send the money from our account immediately. Then they lost the wire transfer!
After some harsh words at the top, it was found. That’s when I discovered the wonderful world of Fed wire numbers.
The next morning, the Dow continued its plunge, but after an hour managed a U-turn, and launched on a monster rally that lasted for the rest of the year. We made $75 million on that one trade from Soros.
It was the worst investment decision I have seen in the markets in 53 years, executed by its most brilliant player. Go figure. Maybe it was George’s risk control discipline kicking in?
At the end of the month, we then took a $75 million hit on our share of the British Petroleum privatization, because Prime Minister Margaret Thatcher refused to postpone the issue, believing that the banks had already made too much money.
That gave Morgan Stanley’s equity division a break-even P&L for the month of October 1987, the worst in market history. Even now, I refuse to gas up at a BP station on the very rare occasions I am driving a rental internal combustion engine from Enterprise.
My Quotron Screen on 1987 Crash Day
Good luck and good trading!
John Thomas
CEO & Publisher
The Diary of a Mad Hedge Fund Trader
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