Against a backdrop of economic uncertainty, supply chain upheaval, and rapid technological transformation, foreign direct investment remains a bellwether of global confidence and strategic priorities.
Looking back to 2024, the patterns of FDI offer a window into what the world’s investors value most—and what new risks and opportunities are on the horizon.
In a rapidly shifting global landscape, investors are constantly on the hunt for both opportunity and resilience. Which sectors and regions captured the lion’s share of foreign direct investment in 2024—and what fueled these evolving priorities?
The Global State of FDI in 2024
Visual Capitalist created an infographic that shows Foreign Investors allocated more than $1 trillion across the top 10 global sectors in 2024, highlighting the scope and realignment of worldwide capital movements.
Renewable energy topped the list, drawing $270.1 billion in FDI. Even so, renewable energy FDI declined — mainly due to rising material costs, tougher regulations, and delayed projects. Despite these setbacks, long-term prospects in renewables are robust.
Perhaps the most surprising winner of 2024, the communications sector not only rebounded but grew by an astonishing 84%, far outpacing previous years. This likely reflects accelerated 5G rollouts and infrastructure expansions in both developed and emerging markets.
Semiconductors followed closely, likely reflecting the growing infrastructure requirements of global reliance on AI.
Notably, FDI in real estate increased despite a critical labor shortage, sparking questions about how investment is responding to workforce constraints.
Meanwhile, traditional manufacturing showed minimal growth, as investors appear wary of ongoing supply chain disruptions and increasing automation across the industry.
Regionally, the FDI tide was far from even. Asia emerged as the dominant destination for FDI. While India, alone, attracted investment across more than 1,000 distinct projects, driven by robust economic reforms and a burgeoning market.
What’s Next?
FDI patterns are not static reflections but dynamic forecasts of the next big global moves. Consequently, geopolitics and regulatory shifts impact FDI as well.
As global investment patterns continue to evolve, the next wave of foreign direct investment will likely redefine which strategies (and which regions) lead. Will emerging trends hold, or will new surprises shift the map again next year?”
We are living through the fastest period of technological change in history — a fact that demands not just awareness, but active engagement. Here’s how to recognize this shift, and what you can do to succeed in it.
Our ancestors survived by thinking locally and linearly. Yet today, this mindset often leaves us struggling to anticipate the sweeping, unpredictable effects of technology.
To predict the future of technology, you must understand where we are and where we are headed … but it also helps to recognize how far we’ve come—and how quickly things are now accelerating.
A Timeline of Human Innovation – From Stone Tools to AI
Our World In Data put together a great chart that shows the entire history of humanity in relation to innovation. It shows how fast we are moving by telling the story with milestones.
Innovation isn’t only driven by scientists. It’s driven by people like you or me having a vision and making it into a reality.
To see just how far we’ve come — and how quickly things now change — let’s look at some milestones.
3.4 million years ago, our ancestors supposedly started using tools. 2.4 million years later, they harnessed fire. Forty-three thousand years ago (almost a million years later), we developed the first instrument, a flute.
Why Speed Matters
The innovations we just discussed happened over an astonishing expanse of time. Compare that to this: In 1903, the Wright Brothers first took flight … and just 66 years later, we were on the moon. That’s less than a blink in the history of humankind, and yet our knowledge, technologies, and capabilities are expanding exponentially.
Acceleration Is The New Normal
Technology was like a snowball gathering speed, but it’s become an avalanche—hurtling forward, accelerated by AI. Here are some fun facts to back that up.
ChatGPT’s Explosive Growth: In 2025, OpenAI’s ChatGPT will hit 700 million weekly active users—a fourfold increase over the previous year. In its first year, ChatGPT reached 100 million monthly active users in just two months, a milestone that took Instagram 2.5 years.
Yesterday’s stable footing guarantees nothing; you must constantly adjust or get swept away.
While AI dominates headlines, the same story of acceleration is unfolding in fields like biotechnology, climate tech, and robotics. It’s happening everywhere all at once. From nanotechnologies to longevity and age reversal, and from construction to space exploration … exponential change is becoming a constant.
Turning Information into Actions – What To Do Now
Though I lead an AI company, I’m not an engineer or a data scientist — I am a strategist. My role is to envision bigger futures, communicate them clearly, and leverage tools that free me to create greater value. Ultimately, that’s going to become everybody’s job.
I don’t believe that AI will replace people like us quickly, but common sense tells us that people who use AI more effectively might replace us faster than we’d like.
Start by experimenting with new AI tools. When was the last time you tried a new tool or technology? Even though our company works on AI every day, I’ve challenged myself to continually expand my ability to use AI to create the things I want.
You’ll probably find that the things you want most are just outside your current comfort zone — or you’d already have them.
The next level of impact and value lies just beyond your current habits—comfort is the enemy of reinvention.
A good start is to think about what routine task you could automate next week.
Leaders must move from certainty-seeking to rapid experimentation. Encourage nimble, high-frequency experimentation with emerging tech.
Focus on skillsets that complement, not compete with, automation. And vice versa, focus on automation that complements (rather than competes with) unique abilities.
Share your learnings with your team or community. Set the expectation of progress, and make regular sharing and reporting part of your process. Reward the sharing of learnings over the accumulation of dead knowledge.
Prepare teams not only technologically, but culturally and psychologically, for relentless reinvention.
Don’t let perfectionism hold you back. You don’t need to know every destination before boarding the train; what matters is that you get on. Waiting too long is no longer safe—the train is leaving, and the cost of inaction is climbing.
Success now means hopping on and adapting while in motion—not waiting for all the answers.
New technologies fascinate me … As we approach the Singularity, I guess that is becoming human nature.
Ray Kurzweil (who is a well-respected futurist, inventor, and entrepreneur) optimistically predicts accelerating returns and exponential progress, where the technological advancements experienced in the 21st century will be vastly more significant and disruptive than those in previous centuries. Kurzeil believes: “The next century won’t feel like 100 years of progress—it will feel like 20,000."
However, there is a tension between our ability to imagine grand futures and our struggle to execute the how—the messy, uncertain work of getting there.
Nassim Nicholas Taleb (a noted expert on randomness, probability, complexity, and uncertainty) reminds us that, “We often overestimate what we know and underestimate uncertainty.” There is a risk that “continuous forward motion” sometimes leads to dead ends and that speed without thoughtful direction can be dangerous. This is true in part because technology adoption is often more about human nature than the absolute value of technology.
This post is about embracing the paradox of accepting both the value of vision and the discipline of small, progressive steps.
Dreaming vs. Doing
Recognize that the future is co-authored by dreamers and doers.
To get us started, here is a video, put together by Second Thought, that looks at various predictions from the early 1900s. It is a fun watch – Check it out.
It’s interesting to look at what they strategically got right compared to what was tactically different.
In a 1966 interview, Marshall McLuhan discussed the future of information with ideas that now resonate with AI technologies. He envisioned personalized information, where people request specific knowledge and receive tailored content. This concept has become a reality through AI-powered chatbots like ChatGPT, which can provide customized information based on user inputs.
Although McLuhan was against innovation, he recognized the need to understand emerging trends to maintain control and know when to “turn off the button.”
In 1966, media futurist Marshall McLuhan envisioned a form of digital research eerily similar to the customized queries now answered by AI. Then he makes a surprising admission about why he studies technological change—with a lesson I think many need to hear. pic.twitter.com/yEBJv95GvP
While we revere “prophetic” moments, most successful outcomes arise from continuous adjustment—not perfect foresight.
Peter Drucker famously said, “The best way to predict the future is to create it.”
I’ll say it a different way … It’s more useful to view innovation as navigation, rather than prophecy.
Like evolution, Success isn’t about strength or certainty—it’s about the ability to adapt quickly and course-correct as conditions change. This mindset urges leaders to embrace agile, resilient strategies that can respond rapidly to emerging opportunities and threats.
With that said, activity is not progress if it doesn’t lead you in the right direction. There are times when continuous course-correction can lead a team in circles. Pausing for periodic reflection and creating feedback loops helps prevent innovation drift.
While not all predictions are made equal, we seem to have a better idea of what we want than how to accomplish it.
The farther the horizon, the more guesswork is involved. Compared to the prior video on predictions from the mid-1900s, this video on the internet from 1995 seems downright prophetic.
The Distinction Between Envisioning Outcomes and Creating Practical Paths to Them.
There’s a lesson there. It’s hard to predict the future, but that doesn’t mean you can’t skate to where the puck is moving. Future success goes to those who can quickly sense shifts, reorient, make decisions, and take action.
Even if the path ahead is unsure, it’s relatively easy to pick your next step, and then the next step. As long as you are moving in the right direction and keep taking steps without stopping, the result is inevitable.
In Uncharted Territory, It’s Better to Use a Compass Than a Map
The distant future may be fuzzy, but it’s our willingness to keep moving—and keep learning—that tips the odds in our favor.
Reflect on the value of looking ahead, not for certainty but for direction.
Don’t worry if you can’t see your intended destination. Just focus on your next step and trust the journey.
Over the past five years, U.S. businesses have grown a lot, thanks in large part to recent advances in exponential technologies. At first glance, it looks like a simple win: more companies, more jobs, better tech. But it’s worth a closer look.
It’s easy to get lost in how fast AI is growing. Being so close to it can lead to myopia. For a broader picture, VisualCapitalist put together an infographic on the growth of various industries over the last 5 years.
Business creation has grown almost 20% over the last five years, with small businesses generating about 60% of new jobs in America. However, a look at the data shows a small number of firms drive most of that growth.
According to J.P. Morgan, the information sector posted the strongest five‑year growth gains (+58%), followed by professional and business services (+32%) and education and health services (+25%).
It’s not surprising that the information business grew fastest, given the catalyst that AI and automation offer, and the growing awareness that data is increasingly a valuable asset.
AI today reminds me a lot of the Internet boom in the early 2000s. Back then, everyone focused on the technology, and it seemed like a separate tech domain. But now, almost every company relies on that technology as infrastructure, making it part of the playing field. I believe AI will become so widespread that, for most businesses, it will simply be part of the landscape.
The story isn’t just about how fast technology moves; it’s about how we steer it.
For example, AI and healthcare are a natural pair with transformative potential. By making diagnostic procedures faster, predicting patient outcomes, and customizing treatment plans, AI is poised to revolutionize how we treat or cure diseases and also how we improve longevity and regenerative medicine results. Interest and assets are sure to flow into that sector.
However, no matter where you look, the growing capabilities and tech infrastructure have profound implications for growth and transformation.
I’m curious which sectors you expect to grow fastest going forward?
I don’t usually write about individual companies, but an infographic highlighting BlackRock’s impressive growth caught my eye.
BlackRock has been around since 1988. It wasn’t until the early 2000s that it really took off, but since then, they’ve clearly been doing something right.
In 2006, BlackRock acquired Merrill Lynch Investment Managers, nearly doubling its AUM, but its CAGR shows that it’s not just luck that has helped BlackRock achieve its current position.
In 2023, when I reviewed their equity holdings, they held approximately $9 trillion in assets. Now that has grown to more than $12 trillion.
While they aren’t as transparent as Berkshire Hathaway about what they do or how they do it, according to its website, BlackRock positions itself as a systematic investor that leverages vast datasets and new technologies.
Comparing again to Berkshire Hathaway, both have invested heavily in Apple, which isn’t particularly surprising.
While I enjoy insights into other investors' playbooks, it’s not the be-all and end-all. It’s simply one way to invest … and might be a reasonable way to get from a lot of money to even more money – but their trading strategy isn’t necessarily going to work for the average investor (or you).
Still, when there is blood in the streets … asking, “What would Warren or Blackrock do?” might be a great place to start.
However, it is challenging to maintain an edge if you use the same process and data as your competitors (especially when they have enough assets to use time or trade size to their advantage).
As the flywheels of commerce spin faster, edges will emerge and decay faster than ever before. Finding a solution is only a step in an ongoing process.
Robust, reliable, and repeatable innovation at scale is a meaningful competitive advantage. That implies that idea factories will become as important (if not more so) than factories that produce material products. Likewise, innovation funnels will become more important than sales funnels.
The world changes at the speed of thought … and as technology continues to improve … even faster.
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.
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.
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