Capitalogix

The Cities Of The Future

Studying historical changes in human population trends offers valuable insights into the factors that have propelled or hindered human development throughout time.

From ancient civilizations to modern metropolises, population dynamics have influenced everything from economic prosperity to social structures.

 

A Window Into Our Past Gives Us a Glimpse at Our Future.

By studying this critical aspect of human history, we can gain valuable insights into the past, present, and future of societies.

Population growth is a complex and multifaceted phenomenon with far-reaching implications. It offers a fascinating glimpse into the demographic trends that have shaped our world and continue to influence our trajectory.

Historically, human populations grew steadily but relatively slowly ... until something changed that. 

Scientists estimate that humans have existed for over 130,000 years. However, it took until 1804 for us to reach 1 Billion. We doubled that population by 1927 (123 years later) and then doubled it again only 47 years later (which was 1974). 

Looking back, early population growth was driven by the agricultural revolution. Since 1804, the Industrial Revolution, health and safety advances, along with technology, have significantly improved quality of life, spurring the rapid population growth. Here is a quick overview of some of the key factors.

Shaping the Future

It’s hard to predict some things accurately. So, one goal in data science is to figure out what we can “know” in order to “guess” less.

Population growth is a prime example. One of the easiest ways to predict how many 60-year-olds there will be in 40 years is to look at how many 20-year-olds there are today. Obviously, the number won’t be exact, but it’s a pretty good head start.

This principle of using known data to make educated predictions applies to many aspects of future planning, including urban development and resource allocation. By leveraging current demographic information, we can better prepare for the challenges and opportunities that will likely impact the cities of tomorrow.

• Economic Implications: A growing population can expand the workforce, fueling economic growth. However, it can also strain resources, requiring increased investment in infrastructure, education, and healthcare.
• Social and Environmental Pressures: Demographic shifts, such as aging populations or youth bulges, can profoundly affect social structures, healthcare systems, and the environment.

 

Why It Matters

Population growth is more than just a numerical metric. It is a fundamental lens through which we can analyze:

• Historical Development: By understanding past population trends, we can better appreciate the factors that have shaped human civilizations.
• Future Planning: Governments, businesses, and organizations can use population data to make informed decisions about resource allocation, infrastructure development, and social policies.

 

Have World Population Growth Numbers Peaked?

World population growth rates peaked in the late 1960s and have declined sharply in the past four decades, but we’re still on a positive trend. We’re expected to reach 9 billion people by 2050, but a lot of that growth comes from developing countries – they also almost exclusively come from urban areas. 

via Axios (Click for an Interactive Graph)

Urbanization: Megacities

In the 1800’s, about 10% of the population lived in urban areas. Since 2014, over 50% of the world’s population has lived in urban areas – today it’s approximately 55%. That number is growing.

Ironically, as we grow more digitally connected, our world is shrinking, and our populations are concentrating. 

An interesting consequence of this rapid urbanization and population growth in developing countries has been the increased development of Megacities – defined as cities with populations greater than 10 million. Today, there are 33 megacities – more than triple the number in the 1990s. 

This creates a set of interesting opportunities and challenges. 

For example, how will these cities deal with infrastructure – sanitation, transportation, etc?

 

via visualcapitalist

Today, in most high-income countries, about 80% of the population lives in urban areas - contrasting the primarily rural populations of lower-income countries. 

As a result, we see many of these megacities forming in developing countries. As a side note, we’re also seeing countries like China making substantial investments and alliances in these developing areas. This is likely done to profit from the expected growth and also to shift the future balance of power in their favor. Sometimes, it makes sense to focus on the marathon and not just the sprint.

It’s interesting how the world can become more decentralized - and more globalized - amidst a contraction of where people live.

The Average NFL Player ...

When I woke up this morning, I saw that Dak Prescott, the star quarterback for the Dallas Cowboys, signed a new contract, making him the highest-paid player in NFL history. His new four-year, $240 million deal makes him the league’s first $60 million per year player. 

If you are curious, here is a list of the highest-paid NFL players in 2024.

Each of the 32 teams has an active roster of 53 players. That is 1,696 active roster players. Add the practice squad and account for injuries, and in a typical season, you end up with about 2,100 players per season.

Now that the NFL Football season is officially underway, I thought it would be interesting to look at each position’s composite player.

As you might expect, different sports have a different ratio of ethnicities, builds, and features. The same is true for different positions on a football team.  For example, you might expect more Pacific Islanders in Rugby or Asians in Badminton. You expect NBA players to be taller, swimmers to have longer arms, and football players to have more muscle. 

Here is a visualization that shows what happens when you average the top players’ faces in various positions.

  

osmutiar via Reddit

Composites are interesting.

While you may be thinking, “This player must be unstoppable,”... statistically, he’s average.

The “composite” NFL player would be the 848th-best player in the league. He’s not a starter, and he plays on an average team. 

We found the same thing with our trading bots. The ones that made it through most filters weren’t star performers. They were the average bots that did enough not to fail (but failed to make the list as top performers in any of the categories). The survivors were generalists, not specialists.

In reality, you need both.

In an ideal world with no roster limits, you’d want the perfect lineup for each granular situation. You’d want to evaluate players on how they perform under pressure, on different downs, against other players, and with various schemes. 

On a related but slightly different note, I recently read a post called “Why Generalists Own the Future.” It says that, in the age of AI, it’s better to know a little about a lot than a lot about a little. But part of that rationale is that it is easy to find or create digital specialists to do the things people used to do.

That’s what technology lets you do with algorithms. You can have a library of systems that communicate with each other ... and you don’t even have to pay their salary (but you will need data scientists, researchers, machines, data, alternative data, electricity, disaster recovery, and a testing platform).

You won’t find exceptional specialists if your focus is on generalized safety. Generalists are great, but you also have to be able to respond to specific conditions.

How ‘Bout Them Cowboys!

Some Perspective: "I'm Way Closer To Lebron Than You Are To Me!"

With the NFL starting its regular season this week, I was thinking about the talent and effort it takes to compete as a professional athlete.

Take a second to reflect on the journey required to become a pro. In general, the top players from a youth league became standouts in high school and then were star players in college before eventually making it to a professional team. But here's the kicker ... in any other context, they're elite, but unless they're superstars in the NFL, they're considered average or worse. Think about it. By definition, half of the players are below average. 

Meanwhile, I recently came across an example from the NBA that illustrates this concept in a funny but profound way.

There's a relatively famous quote from NBA journeyman, Brian Scalabrine, who said: 

"I'm way closer to Lebron (James) than you are to me!" - Brian Scalabrine

For context, as a USC Trojans men's basketball player, Scalabrine was the top scorer and a leader in field goals and rebounds. He then played 11 years in the NBA ... but at no point in that time was he a star. He didn't put up great (or even good) stats, he wasn't a household name (though he did pick up the nickname "White Mamba"), and he is nowhere near the caliber of player that Lebron James is. In fact, throughout his career, he averaged just 3.1 points, 2.0 rebounds, and .8 assists a game. But, remember, he was good enough to play at a pro level for 11 years.

As a result, many unprofessional (weekend warrior) athletes thought he was an easy target. One day, Brian was playing a rec league game where he dropped 60 points. He tweeted about it, and a bunch of people started tweeting back to the now 40+ years old former NBA player that they could beat him. There are funny YouTube videos about this.

Brian responded by replying:

"Listen. I may suck for an NBA player. Those guys are pretty good. But I don't suck compared to you. You suck compared to me." - Brian Scalabrine

He then accepted their challenge by asking them to send in videos of their play and committed that he would go 1-on-1 against the best of them.

Scalabrine then went on to play 4 of the best players who responded, with one of them having NCAA D1 experience.

The end result?

He outscored them 44-6 - with two of the players scoring 0 points. 

 

via YouTube

It should be self-explanatory, but it seems to be a concept many people struggle with. Any given pro player has been the best of the best throughout their journey. They're the 1% of the 1%. 

But that is probably true for you too. If you're reading this article, you're likely killing it compared to the average Joe. 

Many of us are in rooms with phenomenal business owners and operators. When you meet people like Peter Diamandis, Ray Dalio, or Richard Branson, it's easy to focus on the distance between you and them.

Recognize that it is still a huge accomplishment to be a Brian Scalabrine rather than a Joe Schmo. 

They don't recognize what you and me do recognize. When you're in the NBA, there's all kinds of tells, right? Like if a guy puts his hand like that, you know what he's gonna do. If a guy does a hesitation, you know what he's gonna do. All that stuff is like in real time in the NBA, you got to be so on top of the reads. It's not speed. You can't look at me and say my brain is slow. My brain is fast. My body might be slow, but I have to read whether a guy's gonna shoot, drive, go to the middle, pass. If you're not reading those things, you're not playing in the NBA. - Brian Scalabrine

A helpful reminder.

Keep it up – and as always ... Onwards!

Pattern Recognition In Trading

The Market has been volatile recently, with unusually large gains and losses as we enter the homestretch of the election season. Even though many markets are still near their highs, I'm sensing an increase in anxiety and fear in many of my peers. 

While some believe that markets are random, others make money using rule-based trading systems that rely on specific patterns to identify favorable trading conditions.

Traders, at every level, search for a tradable edge. Some find it in fundamental analysis, others in technical analysis or chart-based patterns, while still others rely on an algorithmic or execution-based edge.

So, is there some magic unifying equation that defines the Market? Personally, I doubt it. Even though nothing always works, "something" always works in the markets. The challenge is to identify what that is and to ignore the rest. 

Though many patterns work, from time to time, when a particular pattern works may seem random, and here is why.

Understanding the Markets. 

There is no such thing as a "Market" ... It is a collection of separate traders (each trading based on what they focus on, what they make it mean, and ultimately what they decide to do).

As a result, one of the reasons that markets experience volatility is that different groups buy or sell for different reasons at different times.

Consequently, even if one group trades using a consistent set of rules, a strategy that effectively combats it only works until that group stops trading those rules.

It works the other way too. If a large trader imposes their will, it changes the playing field for smaller traders.

Elephants Leave Tracks. 

Smart traders follow the big money.

Large traders like governments, sovereign wealth funds, or mutual funds can affect markets while they buy or sell.

However, when they're done, some other group's strategy becomes the dominant force.

Experienced traders recognize that it is important to understand "who is in control" ... but not necessarily why they are trading.

That means you don't have to figure out every bit of information or rationale behind a strategy to make money. For example, suppose you were about to walk into a movie theater but were suddenly confronted with hundreds of people running in the other direction screaming. In that case, you don't have to understand precisely why it's happening to respond intelligently.

 
On a superficial level, that's the basis of trend following. It is also an example of pattern recognition.

Most hedge funds now use some form of pattern recognition in their trading systems.

Much of the analysis done to get a trading edge is simply a way to identify "who is in control" and what they are doing ... rather than why they are trading.

Here, we will examine why some traders rely on specific patterns to identify favorable trading conditions.

Some Patterns Are Logical.

Let's look at a common trading pattern called a "Triangle". You can think of the Triangle as a well-contested battle between the bulls and the bears. It is almost like an arm-wrestling match. Inside the pattern, neither side gives up much ground. However, when one side loses conviction, the market surges in the direction the winners push. 

Here is a picture of a Triangle and the pattern's likely price projection.

 

  

Triangles are an example of a logical pattern. It is easy to see and easy to understand. In addition, it is easy for a trader to use a setup like this to define the likely risk and reward of a trade they are considering.

Why Do Patterns Form in Markets Repeatedly? The Answer is Human Nature.

Markets are not always logical. Some would argue that Markets are rarely logical. If they were, intelligent people would get rich by following their instincts ... but that isn't how it works.

On some level, markets represent their participants' collective thoughts and emotions. So, even though conditions change, the collective response to fear and greed remains reasonably similar.

As a result, many patterns show up in market price data.

In General, Here's What Is Happening.

A move up of a certain degree will be met with some people who fear the move won't go higher ... so they decide to sell. Meanwhile, others will believe the move will trigger a whole different group of people to recognize an opportunity ... so they decide to buy.

The same thing happens with a big move down. At first, it triggers fear and selling. But at some point, to a particular group of traders, the move down will look like a discounted buying opportunity.

At its core, price is the primary indicator of investors' willingness to buy or sell. Things like velocity or slope are secondary, and show the intensity of their motivation.

So, many of the patterns that you read in books or magazines (with names like "head and shoulders", or "cup and handle", or "double bottoms") are all just ways of explaining the natural response to certain conditions.

 
  

There is science involved in recognizing a specific pattern ... and art in selecting which pattern to rely on today.

But You Don't Have to Predict Anyone's Action - All It Takes Is An Intelligent Response.

It's the law of large numbers. An insurance company doesn't have to accurately predict when any individual will die; their actuaries have to figure out a reasonable estimate of how many people like that in their risk pool will die during the relevant period ... and price the coverage accordingly. Likewise, in the Market, patterns don't predict what an individual will do; they indicate what the majority will likely do.

So now that you understand patterns, the rest is easy ... right?

Of course, it's not as easy as it sounds because these patterns are being played out across every Market and happen in different time frames as well. That means some people respond to the Market using a much longer time horizon than others. A pattern for them may be noise at a different level of focus.

It may be comforting to see familiar patterns occur whether you're looking at a minute-by-minute chart of the S&P or a weekly chart of gold ... but comfort doesn't make you money. Instead, ask whether what you are looking at is a coincidence or causal. Said another way, does it simply explain what happened, or is it a valid prediction of what will happen?

Since many patterns are playing out across many markets at any given time, a human can't identify, validate, and trade all of them in real-time.

This is where computers and artificial intelligence truly shine. For example, we've developed a pattern mining technology that doesn't rely on traditional technical analysis patterns. Instead, it searches for patterns across various markets and time frames, uncovering edges that humans would never be able to detect on their own.

But even that simply adds more ways to win.

The only thing I can confidently predict is that volatility and noise will increase due to how markets work and the arms race for enhanced technical capabilities and information asymmetry. As volatility and noise continue to rise, what separates smart money from dumb money will likely be the ability to focus on what matters when it matters.

It is hard to do – and even harder to do consistently. But some things are inevitable. While technology may not immediately replace all human traders, it's becoming increasingly evident that those who leverage computers and advanced technology will outperform and eventually replace traders who rely solely on their human capabilities.

We live in interesting times.

An Antidote For Anxiety & Scary Times

People seem rattled right now, don’t they?

Wallets have been tight, and fears of a recession have run rampant.

Even though markets and the economy are not the same thing, many voters believe they are. Consequently, in an election year, I suspect the government will push every button and pull every lever to boost the market leading into November.

Speaking of the markets, they have been pretty volatile the last few weeks. They have posted some of their worst days since COVID-19 but some of the best, too.

We find ourselves in a particularly partisan election year, with lots of uncertainty about who is running, what they stand for, and whether they can make a difference – or even do the job.

The situation feels worse because scary geopolitical events (that threaten World War 3) punctuate seemingly endless negative news cycles.

Now, on to the real point ... those things don’t matter and shouldn’t steal your focus. Why? Because that’s the playing field we all have to navigate.

There will be winners and losers. The key distinction lies in whether you choose to focus on opportunities or risk. 

So, I thought this would be an excellent time to revisit how to cope with losses and manage your anxieties in “scary times.” 

The Anxiety Antidote

During scary times, many people suffer from “I should have ...”, or “if I would have ...”, or “if I could have ...” thoughts.

The problem is that thoughts like those create more stress and distraction. 

I’m reminded of a quote.

"When the trough gets smaller ... the pigs get meaner." - Dan Sullivan

 

 

Negative focus highlights loss, difficulties, past events, missing things, and what you don’t want.

Think of them as an unhealthy reflex that wastes energy, confidence, and time.

All We Have To Fear Is Fear Itself  

I often talk about market psychology and human nature. The reason is that markets reflect the collective fear and greed of their participants... people tend to get paralyzed during scary times like these.

But it’s not the economy that makes people feel paralyzed. People feel paralyzed because of their reactions and their beliefs about the economy. Your perception becomes your reality. 

A little examination reveals that most fear is based on a “general” trigger rather than a “specific” trigger. In other words, people are afraid of all the things that could happen and are paralyzed by the sheer scope of possibilities. These things don’t even have to be probabilities to scare them.

You gain a competitive advantage as soon as you recognize that it’s not logical. Why? Because as soon as you distinguish that fear as not necessarily true, you can refocus your insights and energy on moving forward. You can act instead of react. You make better decisions when you come from a place of calm instead of fear... so create that calm. 

Even a tough environment like this presents you with opportunities if you watch for them ... or even better ... if you create them. 

The Scary Times Success Manual

The goal is to move forward and feel better.

Strategic Coach offers ten strategies for transforming negativity and unpredictability into opportunities for growth, progress, and achievement. They call it the “Scary Times Success Manual,” and what follows are some excerpts:

Forget about your difficulties, focus on your progress.

Because of some changes, things may not be as easy as they once were. New difficulties can either defeat you or reveal new strengths. Your body’s muscles always get stronger from working against resistance. The same is true for the “muscles” in your mind, spirit, and character. Treat this period of challenge as a time when you can make your greatest progress as a human being.

Forget about events, focus on your responses.

When things are going well, many people think they are in control of events. That’s why they feel so defeated and depressed when things turn bad. They think they’ve lost some fundamental ability. The most consistently successful people in the world know they can’t control events - but continually work toward greater control over their creative responses to events. Any period when things are uncertain is an excellent time to focus all of your attention and energy on being creatively responsive to all the unpredictable events that lie ahead.

Forget about what’s missing, focus on what’s available.

When things change for the worse, many desirable resources are inevitably missing - including information, knowledge, tools, systems, personnel, and capabilities. These deficiencies can paralyze many people, who believe they can’t make decisions and take action. A strategic response is to take advantage of every resource that is immediately available to achieve as many small results and make as much daily progress as possible. Work with every resource and opportunity, and your confidence will continually grow.

Forget about your complaints, focus on your gratitude.

When times get tough, everyone must make a fundamental decision: complain or be grateful. In an environment where negative sentiment is rampant, the consequences of this decision are much greater. Complaining only attracts negative thoughts and people. Gratitude, on the other hand, creates the opportunity for the best thinking, actions, and results to emerge. Focus on everything you are grateful for, communicate this, and open yourself to the best possible consequences.

 Click here to download the full PDF version.

Final Thoughts

We can pontificate all day long on the short-term causes of the rises and falls of markets, but I don’t think it does much good. I let the algorithms worry about those. It’s the larger trends we have to be personally aware of.

I sound like a broken record, but volatility is the new normal.

• Markets exist to trade, and if there’s no “excitement” on either side, trades don’t happen.
• Trades are getting faster, which means more information has to confuse both the buyer and the seller.
• You’re no longer competing solely against companies and traders like you. It’s like the cantina from Star Wars; you’ve got a bunch of different creatures (and bots) interacting and fighting with each other, trying to figure out how to make their way through the universe.

Pair that with all the fear and uncertainty, and you’ve got a recipe for increased volatility and noise. That means that the dynamic range of a move will be wider and happen in a shorter period of time than ever before. You’ll hear me echo this thought over the next few years as the ranges continue to expand and compress. Cycles that used to play out over weeks now take days or hours. The game is still the same; it just takes a slightly different set of skills to recognize where the risks and opportunities are. 

Today’s paradigm - both in life and trading - is about noise reduction. It’s about figuring out what moves the needle and focusing only on that.

The crucial distinction is between adding data and adding information. Adding more data does not equal adding more information. In fact, blindly adding data increases your chances of misinformation and spurious correlations.

My final comment is that there’s a difference between investing and trading, and while humans can invest, if you’re “personally” still trying to trade - you’re likely playing a losing game. If you don’t know what your edge is, you don’t have one. 

If you’re investing, I’ll advise you to act like a robot. If you removed human fear and greed from your decision-making - what would you do?

Keep calm and carry on.

The Most Hyped Technologies of the 00s

The Gartner Group’s Hype Cycle research provides the raw material for some of my favorite posts every year.

It is a graphical and conceptual presentation used to represent the maturity, adoption, and social application of popular technologies.

Here is a link to a Gartner research note on understanding Hype Cycles.

I’ve found that they are an excellent source of well-researched tech and business analysis. As another example, here is a video of their Top Ten Tech Trends for 2024.

 

via YouTube

Humans are famously bad at predicting the future of technologies. We tend to overestimate technology’s abilities in the near term and massively underestimate what it can do in the long term.

The shape of that curve has come to be known as the Gartner Hype Cycle, and the five stages of that curve are important for any entrepreneur or investor to understand.

via Gartner

In general, as technology advances, it is human nature to get excited about the possibilities and disappointed when those expectations aren’t met. 

At its core, the Hype Cycle tells us where we are in the product’s timeline and how long it will likely take the technology to hit maturity. It attempts to tell us which technologies will survive the hype and have the potential to become a part of our daily lives. 

Gartner’s Hype Cycle Report is a considered analysis of market excitement, maturity, and the benefit of various technologies. It aggregates data and distills more than 2,000 technologies into a succinct and contextually understandable snapshot of where various emerging technologies sit in their hype cycle.

Here are the five regions of Gartner’s Hype Cycle framework:

1. Innovation Trigger (potential technology breakthrough kicks off),
2. Peak of Inflated Expectations (Success stories through early publicity),
3. Trough of Disillusionment (waning interest),
4. Slope of Enlightenment (2nd & 3rd generation products appear), and
5. Plateau of Productivity (Mainstream adoption starts). 

Understanding this hype cycle framework enables you to ask important questions like “How will these technologies impact my business?” and “Which technologies can I trust to stay relevant in 5 years?”

If you are curious, here is Perplexity’s explanation of Gartner’s Hype Cycle and related research. 

Another methodology uses frequency analysis to identify the “most hyped” concepts and technologies.  

VisualCapitalist recently put together an infographic highlighting the most hyped technologies of each year. They call it the “Peak of Inflated Expectations”.

 

(Click To See Full Infographic) via VisualCapitalist

Here’s a Summary of the most hyped technologies, by year, since 2000.

• 2000 - Wireless Web, ASPs, Bluetooth
• 2001 - Web Services, Enterprise IM, m-Commerce
• 2002 - Biometrics, Grid Computing
• 2003 - Process Portals
• 2004 - Micro Portals, Virtual Content Repositories
• 2005 - P2P VOIP, Biometric ID Documents, BPM Suites
• 2006 - Mashup, Web 2.0 
• 2007 - Legal P2P, Digital Video Broadcasting
• 2008 - Green IT
• 2009 - Cloud Computing, e-Book Readers, Social Software Suites
• 2010 - 4G Standard, Activity Streams
• 2011 - Internet TV, NFC Payment, Augmented Reality
• 2012 - BYOD, 3D Printing, Complex Event Processing
• 2013 - Big Data, Gamification, Wearable User Interfaces
• 2014 - IoT, Natural-Language Question Answering, Cryptocurrencies
• 2015 - Speech-To-Speech Translation, Advanced Analytics, Autonomous Vehicles
• 2016 - Blockchain, Cognitive Expert Advisors, Machine Learning
• 2017 - Virtual Assistants, Connected Home, Deep Learning
• 2018 - Biochips, Digital Twin, Deep Neural Networks
• 2019* - 5G, AI PaaS, Graph Analytics
  *Missing from the infographic, but updated by Gartner

As we take our smartphones for granted, it’s hard to imagine Bluetooth, wireless web, or e-book readers as emerging technologies at this point - but at one point in time, the lightbulb was an emerging technology. 

It’s also interesting to look at which technologies peaked in a hype cycle ... and which now popular technologies no longer appear on this list. For example, despite Virtual Reality being around since the 80s, I still expected to see it on this list. 

Cryptocurrencies, “smart homes”, and several older examples are in a recession - but that doesn’t mean they won’t have resurgences. 

As a reminder, the hype cycle and the innovation adoption cycle are often on very different time scales. It’s very possible that technologies from the early 2000s may still have their heyday. 

What are you surprised wasn’t on the list? And, what do you think is about to get added?

We live in interesting and exciting times!

Cultivating An Innovator's Mindset

To some, new technology is a good thing. To others, less is more.

Most people simply “tolerate” technology transitions, some people drive them, and others crave them and use them as a catalyst for growth or strategic advantage.

The description begins with resistance and progresses towards compulsion. Reversing this sequence allows us to illustrate the innovation adoption process.

Here is a visualization of the innovation adoption model and market share.

In the image above, the blue line represents consumer adoption (taken from Geoffrey Moore’s “Crossing the Chasm,” while the yellow line represents market share. 

As you can see, only 2.5% of the population drive innovation (or adopt it early enough to help drive the Alpha & Beta versions of emerging technologies). 13.5% make up the Early adopters, who help get it ready for the mainstream. Then, the early and late majorities are the groups that ultimately consume (or use) the mature product. Meanwhile, Laggards are often forced kicking and screaming into “new” technologies as the early adopters are well on their way to subsequent iterations. 

Here is a link to Perplexity’s description of Crossing the Chasm’s innovation-adoption model and other key concepts from the book.

Even if you are not an innovator, here are a few Innovator Mindsets that I find useful. 

1. You Believe There’s A Better Way
   • Wherever you are, you know that there is a best next step, and you are eager to find it and take it.
   • You recognize that the opportunity for more (or better) often lies just beyond the constraints or problems of the current way.
   • The bigger future fuels your efforts. When initial excitement fades, understanding what the bigger future can bring helps you power through.
2. You Are Comfortable Being Uncomfortable
   • You understand that Pioneers sometimes take arrows in the back.
   • When creating a new reality, you expect some resistance as a result of the law of averages. Escaping the status quo takes a lot of momentum, but it’s worth it. 
   • You recognize when victory is near. In a quirk of human nature, too many people quit just before they would have won. Don’t make that mistake.
3. You Know Where You’re Going, Even If You Are Not Sure How You’re Going To Get There
   • Your goal should be your North Star. A clear direction is essential to ensure that activity leads to progress.
   • Measure progress and momentum rather than the distance from your goal.
   • It is easier to course-correct while in motion.
   • If you’re too committed to a path that isn’t leading in the right direction, you might find what Blockbuster, RadioShack, and Kodak found.
4. You Are Married To Questions (Not Necessarily Answers)
   • Everything works until it doesn’t; and nothing works forever.
   • It’s easy to find an answer (and think it’s correct), but there’s always a best next step or a better way.
   • Figure out what you want and how to get it. This is much more empowering than focusing on what you don’t want ... or why you can’t get it.
   • Ask questions that focus on opportunities or possibilities rather than challenges ... or what you want to avoid.
   • Energy flows where focus goes.
   • Commit to finding a way!

I plan on sharing more Innovator Mindsets. Let me know what you think.

The 2.9 Trillion Dollar Drop

Last Friday was the stock market’s worst day since COVID. 

The media says weak job reports and recessionary fears fueled it.  Geopolitics might have played a part, too.

Over 2.9 Trillion Dollars got wiped out. 

To visualize what happened, here is a market heatmap of the S&P 500 index stocks categorized by sectors and industries.  Size represents market cap.  There was very little green in a sea of red.

 

via FinViz

Last year, I asked if we would see a recession in 2024?  Here is an excerpt from that post:

 

I want to remind people that the U.S. is resilient, and it seems like public sentiment is moving in a positive direction. 

That said, 84% of CEOs and 69% of consumers think we're headed toward a recession. Meanwhile, the Fed is positive we won't ... and banks are almost positive we won't. 

It seems like they know something we don't ... or maybe vice versa. 

To lend some credence to the bullish sentiment, consumer spending is still high despite inflation and interest rates. In addition, Retailers are still posting solid earnings.

Unfortunately, we're increasingly seeing consumers resort to borrowing (including short-term lending options) to pay for goods. Household debt has hit a record high of $17 trillion in March.

— Are We Going To See A Recession In 2024?, October 2023

Yes, last week was potentially alarming.  Even the ordinarily resilient tech giants took a hit. 

With the unemployment rate reaching 4.3% in July, the three-month moving average is at least 0.5 percentage points above the minimum of the previous 12 months’ averages.  This triggers the Sahm rule, which supposedly signals a recession.  According to the rule, reaching the 0.5% threshold indicates a recession.  When the jobless rate rises quickly, it suggests the economy is slumping.

But, even the inventor of the rule, Claudia Sahm, says the doomsday narrative may be overblown. 

I’m not here to tell you that everything is sunshine and roses, but I am here to remind you that no indicator exists in a vacuum.  While the negative performance is real, household income is still growing, and consumer spending and business investment remain resilient.

Not to mention that with graduation, there’s a massive increase in the workforce, which also impacts the numbers. 

Recessions can build slowly - but come quickly - but as they build, there is time to react ... and even better - there is time to not ‘react’ but ‘respond’. 

AI will likely impact the workforce, business, and eventually ... the economy. 

I’ve learned that the market often feels random because you can’t predict events like global pandemics, threats, assassinations, or cybersecurity outages.

Over time, I’ve focussed less on guessing what will happen and more on responding faster and better to what happens.

With that said, I do have an opinion here.  It’s an election year, and I suspect the government will push every button and pull every lever to boost the market leading into November.  Even though markets and the economy are not the same thing, many voters believe they are.  So, I would say this correction is perfectly timed ... and I anticipate a steady ramp-up so that people feel as good as possible about the economy when they vote.

What do you think is going to happen?

The Power Of Assessments

Over the years, I've used a number of different assessment tests on myself and our team. It's a great way to help people better understand each other and the various forms of communication and problem-solving styles we use.

Here are several of the tests that have proven themselves time and again:

1. Kolbe measures how individuals naturally approach problem-solving and execute tasks when free to be themselves.
2. Predictive Index (PI) - helps organizations make data-driven, objective hiring decisions by providing insights into a candidate's personality traits and cognitive abilities in relation to their perceived role.
3. StrengthsFinder: helps people discover their natural talents and develop them into strengths they can leverage for personal and professional success.

On top of these, it's always fun to see what else is available and how it might provide new and useful insights. 

For example, Ray Dalio recently created a personality assessment called PrinciplesYou that you can take for free. This tool breaks down personality traits into three areas: how you think, engage with others, and apply yourself. I've seen several articles praising PriciplesYou and its insights.

Less meaningful, perhaps (but still fun), I also found a website called Human Benchmark that lets you test your performance on various reaction and memory tests. I'm unsure how scientific it is, but it was an interesting use of 10 minutes nonetheless. Here are my son's results from that one.

via Human Benchmark

Progress starts by telling the truth ... most often to yourself.  

What assessments have you found particularly helpful?

Thoughts On Conversing With AI

A few weeks ago, I shared an article about a tool I've been enjoying called Dot.  I use it as an AI journal that acts somewhat like a sounding board and counselor for me.

Since writing that article, I have continued to enjoy and appreciate the tool.  I've used Dot to help me plan and prepare for a substantial business transaction.  It assists me in processing and evaluating significant life decisions.  Sometimes, I even use it just because I'm bored. 

Dot sometimes responded to my thoughts with probing questions which pushed me to consider why I said what I said. These prompts helped me think about my thinking in ways that I hadn't before. The result was more valuable than simply coming up with a strategy or a list of potential answers. It actually helped me articulate and identify what I really wanted. 

It's clear to me that I increasingly rely on the tool and have made it part of my daily routine.  I've even noticed that I sometimes refer to it as "she" or "her."

Dot remembers my discussions with it, prompts me to stick with things we've discussed, and can even tell when I'm trying to change the subject or end a conversation.

It's fascinating to think about how AI creates a programmatic version of empathy.  It makes me question the distinction between artificial and real empathy (and whether that distinction even matters).  Perhaps, instead, we should focus simply on the utility and benefits of the responses.  

If you're into comparisons, you might want to check out Pi, one of the pioneering personal AI tools designed to blend EQ and IQ.

If you like variety, try Poe, developed by Quora.  It gives you access to the latest AI models and millions of user-created AI chatbots and even lets you create your own custom bots.

I'm also a fan of TalkTastic, which lets you record your rough ideas and then distill them into thoughtful and articulate language.  I use it frequently throughout the day to create short messages, emails, and even some of the sentences in articles like this.  As I use voice more, I love the idea of a digital editor that declutters and refines what I say into what I mean.

Things Are Getting Better Fast! 

As a thought experiment, imagine how advanced AI will be by the end of your lifespan.

Assign the number 100 to that level of capability.  Where are we now?

Based on my life expectancy, I would guess that AI is currently only at a 3 out of 100.

Where we are today is incredible compared to the past.  Likewise, it's astounding how fast things are getting better.  But compared to what's coming ... it's virtually nothing.

The most exciting part is that (considering the rapid pace of exponential technological improvements) we likely can't even imagine how advanced AI will become or the benefits and insights it will be capable of producing for us. 

While my first article focused on the tool and its capabilities, I think it's also helpful to think more globally about mindsets around these types of tools and the proliferation of AI. 

Technology Adoption Model 

To start, I've built a model I call the Technology Adoption Model. This model explains how ideas transform from a Capability into a Product and then once again into a platform that spawns new capabilities. 

Before you start considering new capabilities, the first thing you should do is assess whether this new tool helps us better accomplish what we already do. To answer that, we often use three simple measures: efficiency, effectiveness, and certainty. This means getting things done in less time, with less effort, or with a greater chance of success.

Once you know that you can do what you already did—just better—you naturally get greedy for more. That means you start thinking about what you could or should do to improve further.

This applies to adopting new tools - and also to building them.

I've also built a worksheet around the model that you can use in your own business. 

As you start using new AI tools, you will gain new capabilities.  Don't concentrate on mastering the tool itself; instead, focus on getting better at using it to enhance your life.

A great place to start is simply making your life easier or more enjoyable.  Use new tools in fun and low-friction ways.  The impact of tools like these will increase as you become more proficient at thinking about using them better ... and as you improve your ability to imagine new possibilities. 

From Inconceivable To Unavoidable

Your mindset creates your reality.

It's natural to feel resistance to new and powerful capabilities.  It's a safety mechanism because humans are wired to think locally and linearly - and to avoid danger. 

Realize, however, that linear thoughts don't often lead to exponential results.

The more I play around with these tools, the more I anthropomorphize them.  Human thought and connection are ultimately chemicals and electricity firing within a system, not too different from a computer.  If AI can become such a reasonable facsimile that it's indistinguishable, is the difference worth thinking about?  Or is it better to focus on what and how you will use the new capabilities? 

As entrepreneurs, our job is to get the rock up that hill.  We can spend time thinking about whether the tool is 'artificial' or how we can better harness it. 

I've said this before, but it's worth echoing …  Some of what was once Impossible becomes Possible.  Some of what became Possible becomes Probable.  And, and some of what became Probable becomes Inevitable.  Here is a way to visualize that scale.

And, our limitations are often only in our ability to conceive of a bigger future.

Speed Matters

AI isn't just valuable because of what it can do; its deeper value comes from enabling you to achieve more.

I like to use a simple model to illustrate this: Crawl, Walk, Jog, Run, Sprint.  As you think about your day or week, what percent of the time are you sprinting?

Chances are you sprint less than you initially thought.  Why?  Because, when you really sprint, it's hard to breathe ... and you can't talk.  And because of all our other burdens and responsibilities, we don't tend to push ourselves that hard.

However, as AI eliminates frustration and bother, it frees you up to do and be more and focus on the things that create the most value and really matter.

The real benefit of AI is that it gives you back those time cycles to really sprint towards what you truly want.

A tool like Dot can also help you better clarify what you want while also helping you accomplish those things.

Too much of our day is spent thinking about what we don't want or how to avoid feeling angry, frustrated, or uncertain.

Your life can improve quickly by focusing on becoming more clear about what you want, how you can achieve it, and the best ways to measure progress toward those goals.

The next step is to use the traction, progress, and momentum to determine what else is possible and what you should plan to do next.

When you think about it this way, a tool like Dot can be a powerful alignment tool and a way to help you and your company move faster. 

Just make sure you're heading in the right direction!