Now, let’s take a look at which industries are struggling to find qualified candidates or to keep them.
As AI becomes more prevalent, it’s essential to consider several key factors when thinking about jobs and the future of work.
One thing to consider is whether an industry is ripe for disruption ... or just replacement. Another consideration is whether a role can be easily automated.
Labor shortages are increasing globally, and yet many young adults are struggling to find careers.
That’s an interesting contradiction: lots of jobs need people, but lots of young folks can’t find work.
This is crucial because it shows there’s a mismatch — the jobs exist, but the skills, readiness, or interests aren’t aligned with what employers want. It’s not just about having jobs; it’s about having the right people for those jobs. Zooming out, this mismatch reveals a bigger gap in education, training, culture, and how we prepare people for work. Fixing this isn’t just about filling seats; it’s about building a workforce that can grow with the changing economy and replace the aging boomers as they begin to retire en masse.
This chart helps us understand where skilled workers are needed and which industries may be struggling.
Real estate tops the list with 60% anticipating hiring difficulties in the near term. With high interest rates and market volatility, it does make sense. People tend to look for easy wins, and volatility scares both investors and employees alike.
While we know that retail & fast food workers are still among the most common jobs, hospitality has been struggling. This could be caused by labor conditions and complaints about compensation.
Meanwhile, tech, healthcare, and telecom are the least affected by job insecurity. While these are saturated markets, they’re also growing markets with well-defined career paths and consistent demand.
People thrive when given autonomy, mastery, and purpose. Understanding motivation beyond money helps struggling industries rethink job design to attract and keep talent. And in the bigger picture, meaningful work fuels engagement and innovation, creating a cycle of growth and satisfaction.
The struggle to find good workers is a canary in the coal mine—a warning that the world of work is shifting beneath our feet. It matters because work shapes economies and lives. Leaders who grasp not just the “what” but the layered “whys” have a chance to build a future workforce that’s resilient, motivated, and human-centered.
In times like these, some people see the challenges ... while others see the opportunity.
Despite his great writing and its complexities, he was able to simplify his stories into a few basic narrative shapes.
Here is a graphic that explains the concept.
Here is a 17-minute video of Vonnegut discussing his theory of the Shape of Stories. You can grasp the basic concepts within the first 7 minutes, but he is witty, and the whole video is worth watching.
You can explore a bit more elaborate version of his "Shapes of Stories" idea in Vonnegut's rejected Master's thesis from the University of Chicago.
My friend, John Raymonds, also has a substack. He just released a great article on the power of storytelling. It dives deep into the nature of stories and narrative transportation. Check it out.
Today’s my birthday. I woke up on the right side of the dirt, in America, grateful for the opportunities ahead.
So far, so good.
For me, birthdays also invite a moment to pause and reflect on where I am, where I want to go, and what it’ll take to get there.
On the health front, I’m reminded of a simple truth: A healthy person has a thousand dreams, while an unhealthy one has only one.
Thankfully, I still have many dreams.
We’re lucky to be born late enough in human history that medicine isn’t just about fixing what’s broken—it’s about regeneration and life extension. The real promise isn’t just living longer, but living well longer.
That’s a future worth investing in.
So today, I’m dusting off some notes from a meeting I had years ago—lessons that feel more relevant than ever.
A Chat With The Father of Biohacking
In 2018, I was in Alaska at Steamboat Bay for a CEO retreat. I was spending time with a friend, Dave Asprey, a successful serial entrepreneur, author of several great books, and a thought leader in biohacking. In many ways, he’s the father of modern biohacking.
We recorded a video where Dave did a great job of relating his world to the world of Capitalogix and trading. I share it in part so you can experience his wide range of interests and expertise. It holds up well. I encourage you to watch it.
In the video, Dave explains that life evolves through a series of algorithms operating at microscopic levels. Your body and brain are made of tiny parts working like clever little computers. These parts constantly talk to each other, sense what’s happening around them, and change their behavior to keep you alive and thriving.
Nature has been running this amazing program for billions of years, constantly improving through trial and error (that’s evolution).
Dave points out that there are striking similarities between genetics/epigenetics and modern digital algorithms. Markets and businesses make numerous small decisions and adjustments to achieve significant outcomes.
In a sense, Markets and industries function like biological environments where algorithms continuously evolve and adapt.
So really, life and business aren’t magic—they’re just lots of tiny choices happening at once. If you learn how to listen to these choices and guide them wisely, you become better at playing the game. And that’s how evolution, biology, and even markets all tie together.
The lesson? Build systems and habits that are flexible and adaptable, like living things.
It helped me reframe my perspective on my business. But it also got me thinking more about my health and how I wanted the next 20 years of my life to look. As a result, I started taking care of my health and paying more attention to preventive care.
Health is the foundation that gives all ambitions a place to stand.
Focusing on the positive is important, but extending your healthy lifespan starts by being honest with yourself and identifying what you and your body struggle with the most.
A doctor friend gave me some advice. He said it doesn’t matter if you’re on top of 9 out of 10 things; it’s the 10th that kills you.
The goal isn’t just to stay alive longer; it’s to live life to its fullest for as long as possible.
I recently joined a fantastic mastermind group called DaVinci 50, run by Lisa and Richard Rossi. It brings together a remarkable collection of medical professionals and entrepreneurs focused on the latest research, treatments, and opportunities in health and longevity.
Another great tool I rely on is Advanced Body Scan. Early detection is crucial, but so is tracking the history of your scans to monitor changes over time. In my opinion, the most valuable scan is always the next one.
Additionally, I utilize a growing list of trackers and biometric devices to monitor my heart rate, along with various apps and tools for mindfulness, breathwork, and journaling. It is essential to recognize that the mind, body, and spirit work together to shape how you live your life.
Where Biohacking Fits In
It’s not surprising that biohacking has become as popular as it has. In a society that encourages (and perhaps even necessitates) an impossible balance between work, responsibilities, and self-care, it makes sense to want to increase efficiency and effectiveness.
Biohacking helps you do more with less. Biohacking is popular because it promises to help you achieve peak performance via the path of least resistance.
Having trouble with sleep, but don’t want to stop using your phone before bed? Wear blue-light blocking glasses.
While biohacking started as tricks like that – nootropics to help your mind, light and sound machines to decrease stress – it’s becoming increasingly tech-centric and augmentation-based.
Long-term, it’s likely you’ll see it moving toward exoskeletons, AR/XR experiences, and, unsurprisingly, sex toys. It’s also being used to create artificial organs and counteract memory loss. Companies leading this movement are Neuralink, Biohax International, and Digiwell. While it’s currently being adopted primarily by fast movers and technocrats, it’s pragmatic to think that more widely adopted versions of this will emerge as technology becomes standardized and protections are put in place.
For all the excitement, it’s necessary to remain skeptical and patient. DIY biohacking raises several ethical concerns, particularly regarding data protection and cybersecurity. As a reminder, when it comes to cybersecurity, you, the user, are the biggest weakness.
There’s no stopping this train, but there’s still time to ensure it stays on track.
If you’re looking to get started, here’s an hour-long conversation with Dave Asprey about his favorite optimizations.
Here’s to having a thousand dreams, leveraging the best of today’s medical advances, and investing not just in years added, but quality within those years.
We live in a world where technology changes quickly and often, while human nature remains relatively unchanged.
For most of us, human nature is the key variable.
I suspect Henry Ford focused on that when he said, "Whether you think you can or you think you can't. You're right."
Processing the possibilities of tomorrow is often difficult for humans. Part of the problem is that we're wired to think locally and linearly. It's a monumental task for us to comprehend exponential growth, let alone its implications. For example, consider what happened to seemingly smart and forward-looking companies like Kodak, Blockbuster, and RadioShack.
The world changes quickly.
Change is constant. The wheels of innovation and commerce spin ever-faster (whether you're ready for it or not).
As a practical matter, it means that you get to choose between the shorter-term pain of trying to keep up ... or the longer-term pain of being left behind. Said another way, you have to choose between chaos and nothing.
It's hard to keep up – and even harder to stay ahead.
Personally, I went from being one of the youngest and most tech-savvy people in the room to a not-so-young person close to losing their early-adopter beanie. Sometimes it almost seems like my kids expect me to ask them to set my VCR so it stops flashing 12:00 AM all day.
My company may not be doing "rocket science", but it's pretty close. We utilize exponential technologies, such as high-performance computing, AI, and machine learning, to amplify intelligence and make data-driven, evidence-based decisions in real-time, all the time.
But, as we get "techier," I get less so ... and my role gets less technical, over time, too.
Due to my age, experience, and tendency to be a pioneer, I've been battling technology for decades.
Don't get me wrong, technology has always been my friend, and I still love it. But my relationship with it is different now.
I recognize that there are things that change and things that stay the same. And for me, the things that "stay the same" tend to be more important.
Paradoxically, the part of me that stays the same can still change and grow – that is how you become more (and a more evolved version) of that thing.
The Bigger Picture
My father said that not worrying about all the little details helped him see the bigger picture and focus on what was possible.
You don't have to focus on the technological details to predict its progress. Anticipating what people will need is a great predictor of what will get built. That means predicting "what" is often easier than predicting 'how'.
Why is that often the case? Because technology that solves a problem is more profitable and popular than technology searching for a problem to solve.
Here's a video from 1974 of Arthur C. Clarke making some remarkably accurate predictions about the future of technology.
Artificial Intelligence, quantum computing, augmented reality, neuro-interfaces, and a host of exponential technologies are going to change the face and nature of our lives (and perhaps life itself). Some of these technologies have become inevitabilities ... but what they enable is virtually limitless.
1998 was a long time ago. My oldest son was just a twinkle in my eye. Michael Jackson was touring the world for his ‘Bad’ album, and ‘Rain Man’ topped the movie charts. It’s also the year that Microsoft Office was released.
A lot has changed since then. For obvious reasons, the U.S. labor market has changed radically since then ... but how different is it really?
The data comes from the Bureau of Labor Statistics, so we can assume it’s relatively accurate.
In 1988, consumer-facing roles, such as salespeople and cashiers, were the most common jobs in 46 states. Comparing that to 2024 highlights how much less reliance we have on brick-and-mortar stores.
While not entirely different, now fast food workers are the most common job in 15 states. This is unsurprising in light of the shift toward lower-wage & flexible-hour service jobs. Meanwhile, retail salespersons are still the top job in 11 states.
Operations managers, home health aides, and freight movers have made significant gains in the U.S. labor market.
I was surprised to see how many home health aides there were, but considering the aging U.S. population, it makes sense.
The U.S. is still clearly a consumer economy; however, the focus has switched towards logistics and supply chain, as people shop increasingly online.
I’ve been thinking a lot about the future of work. People talk about change, but so far, things have felt relatively stable. That’s about to shift. AI is advancing faster than most realize—we’re still early on the curve, but the steep climb is beginning.
We’re entering a phase where AI is no longer just a tool—it’s becoming a collaborator in both our personal and professional lives. This shift will reshape how we work, create, and make decisions. For business leaders, that means looking past the hype and focusing on real value, workforce readiness, and building trust. For employees, it means adapting to a new kind of teamwork—one that includes AI as a core partner in creativity and productivity.
How will those changes show up in a chart like this?
Back in 2020, I had a Zoom meeting with Matthew Piepenburg of Signals Matter. Of course, being the height of the Pandemic, it was over Zoom. Even though it was a private discussion, there was so much value in our discussion that we decided to share parts of it here.
While Matt's understanding of markets is based on Macro/Value investing, we use advanced AI and quantitative methods for our approach.
As you might expect, there are a lot of differences in how we view the world, decision-making, and the current market environment. Nonetheless, we share a lot of common beliefs as well.
Our talk explores several interesting areas and concepts. I encourage you to watch it below.
To summarize a couple of the key points, markets are not the economy, and normal market dynamics have been out the window for a long time. In addition, part of why you're seeing increased volatility and noise is that there are so many interventions and artificial inputs to our market system.
While Matt and I may approach the world with very different lenses, we both believe in "timeless wisdom".
Ask yourself, What was true yesterday, today, and will stay true tomorrow?
That is part of the reason we focus on emerging technologies and constant innovation ... they remain relevant.
Something we can both agree on is that if you don't know what your edge is ... you don't have one.
Hope you enjoyed the video.
Let me know what other topics you'd like to hear more about.
When I first became interested in trading, I would often consult many traditional sources and old-school market wisdom. I particularly liked the Stock Trader's Almanac.
While there is real wisdom in some of those sources, most might as well be horoscopes or Nostradamus-level predictions. Throw enough darts, and one of them might hit the bullseye.
Here's an example from Samuel Benner, an Ohio farmer, in 1875. That year, he released a book titled "Benners Prophecies: Future Ups and Downs in Prices," and in it, he shared a now relatively famous chart called the Benner Cycle. Some claim that it's been accurately predicting the ups and downs of the market for over 100 years. Let's check it out.
Here's what it does get right ... markets go up, and then they go down ... and that cycle continues. Consequently, if you want to make money, you should buy low and sell high ... It's hard to call that a competitive advantage.
Mostly, you're looking at vague predictions with +/- 2-year error bars on a 10-year cycle.
However, it was close to the dot-com bust and the 2008 crash, so even if you sold a little early, you'd have been reasonably happy with your decision to follow the cycle.
The truth is that we use cycle analysis in our live trading models. However, it is a lot more rigorous and scientific than the Benner Cycle. The trick is figuring out what to focus on—and what to ignore.
Just as humans are good at seeing patterns where there are none ... they tend to see cycles that aren't anything but coincidences.
This is a reminder that just because an AI chat service recommends something, it doesn't make it a good recommendation. Those models do some things well. Making scientific or mathematically rigorous market predictions probably isn't the area to trust ChatGPT or one of its rivals ... yet.
We're seeing bots improve at running businesses and writing code, but off-the-shelf tools like ChatGPT are still known for generating hallucinations and overconfidence.
According to S&P Global, the U.S. market cap rose by 4.7% in the past 6th months. This represents a modest gain compared to the average market capitalization growth of 12.2% during the same period.
Leaders in growth were South Korea, Spain, Germany, Italy, and Brazil.
We have previously discussed this, but in addition to investments in technology and artificial intelligence, global capital is also being directed toward emerging markets, where many businesses are being established.
At first glance, some may see U.S. underperformance, but it can also be read as a sign of relative maturity and stability. Another potential perspective is that U.S. companies have already experienced explosive growth in recent years, particularly in sectors such as tech and AI, suggesting the market may currently be in a phase of consolidation.
While it's always great to see explosive growth, people undervalue resilience and steady growth, especially in light of the volatile first quarter of the year.
Nine years in front of entertainment devices - another 10.5 years spent working. You get the idea.
If you have goals you want to accomplish, places you want to go, and lifestyle aspirations to experience, this puts the idea of finding and living your passion into perspective.
Do you have the time to waste it?
VisualCapitalist put together a chart projecting longevity based on 2020 mortality rates.
According to this calculator, since I'm over 60, I only have about 20 years left. I expect more!
There are some interesting statistical facts in this; for example, an average American baby boy can expect to live until 74 ... but if that boy turns 21, his life expectancy jumps to over 75.
While these numbers appear high, there are two key considerations. First, COVID-19 heavily reduced these numbers because mortality rates increased.
Also, remember that these numbers are based on 2020 averages, which may differ from your own (specifically considering your race, income, location, etc.). These numbers also don't take into account expected medical and technology advances, etc.
Ultimately, I believe Purpose is one of the most significant catalysts of longevity. People often die when they retire ... not because they're done working, but because they're done striving.
One of my recurring messages is to focus on what you want, rather than what you don’t want.
Likewise, I believe the best way to get through challenging periods is to focus on your resources or progress.
Anyway, two weeks ago, I had a minor surgery.
Let’s face it, very few people “want” to have surgery (even small ones) ... and, for those that do, it’s a sign that something else is bothering them even more.
As much as it sucked, I have a lot to be grateful for. The practical realities of time, technology, and progress made the procedure and the recovery process easier than at any point in our species’ history.
Procedures that used to mean multiple days in a hospital bed have you home in under 24 hours.
It brought back memories of my knee surgery from 12 years ago... and reminded me of what technology makes possible.
Before my knee surgery, I wasn’t enjoying the prospect of the needles, the knock-out drugs, the cutting, or the recovery process. Frankly, I was scared.
History is littered with tales of once-rare resources that have become plentiful through innovation. The reason is pretty straightforward: scarcity is often context-dependent.
Imagine a giant orange tree packed with fruit. If you pluck all the oranges from the lower branches, you are effectively out of accessible fruit. From that limited perspective, oranges are now scarce. But once someone invents a piece of technology called a ladder, the problem is solved.
Here is a picture from inside my knee (unlike years ago, they didn’t have to slice me open to gain access for the picture or the repair): less damage, less time, less drugs, less recovery.
Bottom-Line: I walked over 2,500 steps the day after the surgery.
Think how far diagnostics and surgery have come since then?
Whether it is 3D imaging, minimally invasive surgical instruments, or linking big data and elastic computing, technology is a resource-liberating mechanism. It can make the ‘once scarce’ the ‘now abundant’ (or ‘readily accessible’) ... and a lot less painful.
From ‘Doctor Klingon’ to Clarity — and What That Means for You
But where are we today – and how was surgery different?
It sounds like a joke, but the future of medicine is in your pocket.
One of the biggest differences for me was having AI available to help me feel informed throughout the process. From the beginning, where I wanted to understand the issue and potential solutions, to having AI available on my phone in the recovery room. For example, while waiting for the doctor to tell me “how things went,” I downloaded the surgical notes from the hospital portal, only to find that they were written in “doctor speak” Klingon. So I opened Perplexity in incognito mode and asked it to interpret the notes, and explain everything to me as if I had minimal medical knowledge but still wanted to understand what happened and what I should expect. The result was incredibly comforting, and I was able to use that to send updates to family and friends.
Meanwhile, try to imagine the extensive technology used by doctors and medical staff throughout the process to test, analyze, interpret, monitor, and treat.
Soon, we’ll be able to utilize real-time data for diagnostics and design treatment plans and preventive care tailored to an individual’s unique biology and lifestyle. As a result, personalized, predictive healthcare will become the norm. Likewise, the idea of tailoring treatment to your unique biology will be expected, not exceptional.
It’s also easier than ever to imagine the shift from reactive to preventive medicine. Surgery will become less frequent as AI and wearables catch problems before they require intervention. Likewise,. That means better care and better outcomes - at scale!
Which Industries Are Struggling To Find Good Workers?
A few weeks ago, we discussed the changes in the job market since 1988, but the focus was primarily on the most common jobs.
Now, let’s take a look at which industries are struggling to find qualified candidates or to keep them.
As AI becomes more prevalent, it’s essential to consider several key factors when thinking about jobs and the future of work.
One thing to consider is whether an industry is ripe for disruption ... or just replacement. Another consideration is whether a role can be easily automated.
To start, try to understand which industries are currently seeking job candidates and have long-term stability. Here is a chart from VisualCapitalist showing global employers expecting challenges hiring talent.
Voronoi via visualcapitalist
Labor shortages are increasing globally, and yet many young adults are struggling to find careers.
This chart helps us understand where skilled workers are needed and which industries may be struggling.
Real estate tops the list with 60% anticipating hiring difficulties in the near term. With high interest rates and market volatility, it does make sense. People tend to look for easy wins, and volatility scares both investors and employees alike.
While we know that retail & fast food workers are still among the most common jobs, hospitality has been struggling. This could be caused by labor conditions and complaints about compensation.
Meanwhile, tech, healthcare, and telecom are the least affected by job insecurity. While these are saturated markets, they’re also growing markets with well-defined career paths and consistent demand.
Posted at 04:38 PM in Business, Current Affairs, Healthy Lifestyle, Ideas, Market Commentary, Personal Development, Science, Trading, Web/Tech | Permalink | Comments (0)
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