Category Archives: Innovation

Innovation Evolution in the Era of AI

Innovation Evolution in the Era of AI

GUEST POST from Stefan Lindegaard

Half a decade ago, I laid out a perspective on the evolution of innovation. Now, I return to these reflections with a sentiment of both awe and unease as I observe the profound impacts of AI on innovation and business at large. The transformation unfolding before us presents a remarkable panorama of opportunities, yet it also carries with it the potential for disruption, hence the mixed feelings.

1. The Reign of R&D (1970-2015): There was a time when the Chief Technology Officer (CTO) held the reins. The focus was almost exclusively on Research and Development (R&D), with the power of the CTO often towering over the innovative impulses of the organization. Technology drove progress, but a tech-exclusive vision could sometimes be a hidden pitfall.

2. Era of Innovation Management (1990-2001): A shift towards understanding innovation as a strategic force began to emerge in the ’90s. The concept of managing innovation, previously only a flicker in the business landscape, began its journey towards being a guiding light. Pioneers like Christensen brought innovation into the educational mainstream, marking a paradigm shift in the mindsets of future business leaders.

3. Business Models & Customer Experience (2001-2008): The millennium ushered in an era where simply possessing superior technology wasn’t a winning card anymore. Process refinement, service quality, and most critically, innovative business models became the new mantra. Firms like Microsoft demonstrated this shift, evolving their strategies to stay competitive in this new game.

4. Ecosystems & Platforms (2008-2018): This phase saw the rise of ecosystems and platforms, representing a shift from isolated competition to interconnected collaboration. The lines that once defined industries began to blur. Companies from emerging markets, particularly China, became global players, and we saw industries morphing and intermingling. Case in point: was it still the automotive industry, or had the mobility industry arrived?

5. Corporate Transformation (2019-2025): With the onslaught of digital technologies, corporations faced the need to transform from within. Technological adoption wasn’t a mere surface-level change anymore; it demanded a thorough, comprehensive rethinking of strategies, structures, and processes. Anything less was simply insufficient to weather the storm of this digital revolution.

6. Comborg Transformation (2025-??): As we gaze into the future, the ‘Comborg’ era comes into view. This era sees organizations fusing human elements and digital capabilities into a harmonious whole. In this stage, the equilibrium between human creativity and AI-driven efficiency will be crucial, an exciting but challenging frontier to explore.

I believe that revisiting this timeline of innovation’s evolution highlights the remarkable journey we’ve undertaken. As we now figure out the role of AI in innovation and business, it’s an exciting but also challenging time. Even though it can be a bit scary, I believe we can create a successful future if we use AI in a responsible and thoughtful way.

Stefan Lindegaard Evolution of Innovation

Image Credit: Stefan Lindegaard, Unsplash

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Simple Innovations Sometimes Are the Best

Simple Innovations Sometimes Are the Best

by Braden Kelley

Innovations don’t have to be complicated to be impactful. They just need to deliver enough additional value that existing solutions become widely replaced, or flipped around, for the new solution to be widely adopted.

Recently I have been seeing a new simple, yet elegant, solution driving around the streets of Seattle.

It’s pictured in the photo above and it is quite simply the delivery of a temporary license for a newly purchased vehicle that can be printed and installed in a license plate holder in the same way that the eventual traditional license plate will be.

Now, perhaps your state or country already has this, but for me, every vehicle I have ever purchased was instantly defiled by a piece of paper and tape or tape residue that could be difficult remove after a couple months baking in the sun (especially in the summer).

This instant cheapening of a brand new vehicle is now a thing of the past!

Some may say that this is not really that big of a deal because you’re just moving the temporary registration from the back window to now live in the license plate frame, but there are several tangible benefits for multiple parties from this seemingly small change:

  1. Car Owner – improved aesthetics – the car just looks better!
  2. Car Owner – improved safety from increased visibility while driving
  3. State and Car Owner – increased toll revenue so everyone is paying their fair share
  4. Car Owner – improved safety – easier to identify hit and run drivers
  5. Police – improved safety – easier to identify vehicle during traffic stops
  6. Car Owner – improved convenience – easier to quickly find license number when it’s requested

What is your favorite simple innovation that you’ve seen or experienced recently?

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We Are Killing Innovation in America

We Are Killing Innovation in America

GUEST POST from Greg Satell

Throughout America’s history, technological innovation has been key to security and prosperity. Whether it was through entrepreneurs like Thomas Edison, Henry Ford and Thomas Watson, or government programs like the Manhattan Project, the Apollo Program and the Human Genome Project, The United States has been on the cutting edge.

Today, as we enter a new era of innovation, America remains at the forefront of scientific discoveries in advanced areas such as artificial intelligence, synthetic biology, new computing architectures and materials science. Continued investment in science, both public and private, provides the “seed corn” for continued dominance in the 21st century.

Still, scientific advancement is not enough. We need entrepreneurs to start companies and mid-level technicians and engineers to implement technologies. The truth is that America’s human capital is being hollowed out and that’s becoming a serious problem that we need to address. Once we lose our competitive edge, we might never get it back.

1. Food Insecurity

Awhile back I was speaking to a group of community college administrators and I asked them what their biggest challenge was. I was shocked when every single one of them told me that it was food insecurity. Apparently, it is the number one reason that kids drop out. Only about 20% of students at community colleges earn a degree.

I was even more surprised that there are similar trends at four-year institutions. In fact, a study found that about half of all college students struggle with food insecurity. This number becomes even harder to stomach when you consider that there is also an unprecedented construction boom on college campuses.

So colleges are spending billions to build fancy dorms and rec centers while half of their students don’t have enough to eat. Is it any wonder that they are dropping out? In Weapons of Math Destruction, Cathy O’Neil points out that much of university spending is driven by college rankings like those published by US News & World Report. Maybe a “food insecurity index” should be included?

Any way you look at it, we are undermining a significant portion of our most ambitious young people because we can’t provide them with enough to eat. How can we expect to win the future when kids are dropping out of school to get a meal?

2. Tuition And Student Loans

One of the most important factors that led to American technological and economic dominance has been our commitment to higher education. The Morrill Acts in the 19th century created land grant universities that trained students in agriculture and engineering in every state. Later, the G.I. Bill helped an entire generation go to college and became the basis for a new era of prosperity.

This commitment to education made America the most educated country in the world. More recently, however, we’ve fallen to fifth among OECD countries for post-secondary education. This hasn’t been because less Americans are going to college, in fact, more people go to college today than in 2000. It’s just that the rest of the world is moving faster than we are.

A big factor in our decline has been tuition, which has risen from an average of $15,160 in 1988 to 34,740 in 2018. Not surprisingly, student debt is exploding. It has nearly tripled in the last decade. In fact student debt has become so onerous that it now takes about 20 years to pay off four years for college and even more to pursue a graduate degree.

So the bright young people who we don’t starve we are condemning to decades of what is essentially indentured servitude. That’s no way to run an entrepreneurial economy. In fact, a study done by the Federal Reserve Bank of Philadelphia found that student debt has a measurable negative impact on new business creation.

3. A Broken Healthcare System

There has long been a political debate about whether health care is a right or not and there are certainly moral issues that deserve attention. When I travel internationally, it is not uncommon for people to comment on how barbaric they find our healthcare system, where the uninsured die from treatable diseases and many go bankrupt due to medical costs.

Leaving the moral concerns aside though, our healthcare system represents a huge economic burden. Consider that in the US healthcare expenditures account for roughly 18% of GDP. Most countries in the OECD spend roughly half that. To add insult to injury, healthcare outcomes in the US are generally worse than the OECD average. In fact, the CDC reports that life expectancy is actually declining in America.

Think about trying to run a business that not only produces an inferior product, but also gives up 9 points of margin due to higher costs. Clearly that’s untenable. A study in the Journal of Health Economics also found that, much like student debt, concerns about health insurance inhibits entrepreneurship.

It’s important to note that each of these are uniquely American problems. No other developed country has the same issues with healthcare or student debt. While food insecurity is an issue in some developed countries, it is far more severe in the US. All of this represents a significant competitive disadvantage.

There’s Plenty Of People At The Bottom

Far too often, we see innovation as strictly a matter of startup companies and R&D labs. So we invest in science and entrepreneurship programs to fuel technology. Yet while those things are surely important, they don’t drive advancement by themselves. We need normal, everyday people to make the most out of their potential.

As I explained in Mapping Innovation, developing breakthrough technologies is a process of discovery, engineering and transformation. The transformational part is often overlooked, because it relies not on a single entrepreneur or company, but on an ecosystem to support it. That takes networks of firms working together, each forming a piece of the overall puzzle.

Most of these companies are not household names. They supply components, implement solutions, create complementary goods and so on. Many are small businesses. We need not only geniuses to create the future, but also technicians, consultants and service providers.

In 1959 the physicist Richard Feynman gave a famous talk titled There’s Plenty of Room at the Bottom to alert the scientific community to the possibilities of nanotechnology. I think the same can be said of innovation in America today. Our most valuable resource is our human capital. If we can’t feed, educate and nurture that talent, our future will not be bright.

There’s plenty of people at the bottom with almost limitless potential to increase our national capacity for prosperity, security and well being. Yet instead of empowering them, we undermining them and, in doing so, assuring our own decline.

— Article courtesy of the Digital Tonto blog and an earlier version appeared on Inc.com
— Image credit: Pixabay

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Two Kinds of Possible

Two Kinds of Possible

GUEST POST from Dennis Stauffer

If I asked you whether something was possible, your answer would probably be based on your understanding of our current technologies and capabilities.

An electric car? Sure.

Finding a restaurant using your phone? No doubt.

Teleportation Star Trek style? No.

But that’s not how an innovator thinks about what’s possible. For them, it’s an entirely different question. The notion of what’s possible can have two quite different meanings. One that favors innovation and one that resists it.

If you asked someone living in the 19th century whether powered controlled flight was possible, or whether communicating through the air was possible, they would have said, No. And yet people like Marconi and the Wright Brothers set out to invent those technologies because they believed it was possible—if they could figure out how. So, there are these two very different ways of thinking about what’s possible.

  • The first answers the question: Can we go do that?
  • The second answers the question: Could we do that if we can figure out how?

Based on the first definition, teleportation is clearly impossible. But based on the second definition, it’s an open question. We don’t know, and we won’t know, until someone figures out how to do it. The fact that we haven’t figured that out yet, doesn’t mean we won’t or can’t.

We now know that for powered controlled flight, the answer to both questions is: Yes. It’s possible now; and it’s always been possible in the sense that the rules of the universe permit it.

No doubt many things are possible that we can’t yet do. That’s true of our technologies, and it’s true in your life. When you think like an innovator—with an Innovator Mindset—you believe all sorts of things are possible. And those beliefs are what prompt you to pursue all those amazing possibilities.

Here is a video version of this post:

Image Credit: Unsplash

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The Power of Dreams

A Veterans Day Innovation Story

The Power of Dreams - A Veterans Day Innovation Story

by Braden Kelley

On this Veterans Day I send my thanks to all of my fellow veterans for the sacrifices they and their families have made in support of the great nations of the world. Military science has long been a source of innovation that goes beyond the defense of a population. From duct tape, GPS, jet engines and the Internet to nuclear power, sanitary napkins and digital photography, there is an endless list of innovations that owe their existence to investments in military research.

Innovation has always been fueled by exceptional ideas that push the boundaries of what is possible. Some of the most groundbreaking inventions in history have originated from the most unexpected sources, proving that inspiration knows no boundaries. One such remarkable innovation that emerged from the realm of dreams is the M9 Gun Director, a groundbreaking concept envisioned by David Parkinson. Today, we explore the fascinating story of how an ordinary dream sparked an extraordinary revolution in military technology.

Dreams have long been a source of fascination for humanity, acting as the gateway to our subconscious minds, guiding our creativity and problem-solving abilities. Great minds throughout history, from Albert Einstein to Nikola Tesla, have attested to the transformative power of dreams shaping their inventions and discoveries. In the case of David Parkinson, the M9 Gun Director serves as a testament to the astounding potential that lies within our dreams.

The Birth of a Revolutionary Concept

In 1895, Parkinson, a modest engineer by profession, experienced a vivid dream that would forever change the world of military technology. In this dream, he envisioned a device capable of automatically predicting and adjusting the trajectory of a gun, enabling unparalleled precision in aiming and firing. This visionary concept would ultimately become the foundation for the M9 Gun Director and revolutionize artillery warfare as we knew it.

Pursuing the Unconventional

David Parkinson, driven by an insatiable curiosity and an unwavering belief in his dream, embarked on a journey to transform this abstract idea into a tangible reality. Despite facing skepticism and opposition, Parkinson remained undeterred, recognizing the immense potential in his concept. He tirelessly invested his time in research, experimentation, and collaboration, all the while fueled by the hope of revolutionizing military technology.

Bringing Dreams to Life

After years of relentless persistence, Parkinson succeeded in developing a prototype that embodied his vision of the M9 Gun Director. It incorporated advanced mechanisms, including gears, gyroscopes, and other innovative technologies, to predict and adjust artillery gun trajectories with remarkable accuracy. This revolutionary innovation significantly enhanced the efficiency, precision, and destructive power of artillery systems, forever changing the course of warfare worldwide.

Implications and Significance

The advent of the M9 Gun Director marked a turning point in military history, fundamentally altering the dynamics of armed conflict. By harnessing the power of dream-inspired innovation, Parkinson had unlocked a whole new level of precision previously unimaginable in the realm of artillery. This groundbreaking invention significantly reduced casualties, transformed strategic planning, and tilted the balance of power on the battlefield.

Embracing the Power of Dreams

The story of David Parkinson and the M9 Gun Director serves as a testament to the incredible creative potential that lies within each of us. It encourages us to embrace the unexplored territories of our dreams, recognizing them not just as fleeting nocturnal experiences, but as wellsprings of unmatched inspiration. Who knows what other world-changing ideas are waiting to be unleashed from within our subconscious minds?

Image credits: Pixabay

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Eddie Van Halen, Simultaneous Innovation and the AI Regulation Conundrum

Eddie Van Halen, Simultaneous Innovation and the AI Regulation Conundrum

GUEST POST from Pete Foley

It’s great to have an excuse to post an Eddie Van Halen video to the innovation community.  It’s of course fun just to watch Eddie, but I also have a deeper, innovation relevant reason for doing so.

Art & Science:  I’m a passionate believer in cross-pollination between art and science.  And I especially believe we can learn a great deal from artists and musicians like Eddie who have innovated consistently over a career.  Dig into their processes, and we see serial innovators like The Beatles, Picasso, Elton John, Bowie, George Martin, Freddie Mercury, William Gibson, Lady Gaga, Paul Simon and so many others apply techniques that are highly applicable to all innovation fields. Techniques such as analogy, conceptual blending, collaboration, reapplication, boundary stretching, risk taking, learning from failure and T-Shaped innovation all crop up fairly consistently.  And these creative approaches are typically also built upon deep expertise, passion, motivation, and an ability to connect with future consumer needs, and to tap into early adopters and passionate consumers.  For me at least, that’s a pretty good innovation toolkit for innovation in any field.  Now, to be fair, often their process is intuitive, and many truly prolific artists are lucky enough to automatically and intuitively ‘think that way’. But understanding and then stealing some of their techniques, either implicit or explicit, can be a great way to both jump-start our own innovative processes, and also to understand how innovation works. As Picasso said, ‘great artists steal’, but I’d argue that so do good innovators, at least within the bounds allowed by the patent literature!

In the past I’ve written quite a lot about Picasso and The Beatles use of conceptual blending, Paul Simon’s analogies, reapplication and collaboration, Bowie’s innovative courage, and William Gibson’s ability to project s-curves.  Today, I’d like to to focus on some insights I see in the guitar innovations of Eddie.   

(a) Parallel or Simultaneous Innovation.  I suspect this is one of the most important yet under-appreciated concepts in innovation today. Virtually every innovation is built upon the shoulders of giants. Past innovations provide the foundation for future ones, to the point where once the pieces of the puzzle are in place, many innovations become inevitable. It still takes an agile and creative mind to come up with innovative ideas, but contemporary innovations often set the stage for the next leap forward. And this applies both to the innovative process, and also to a customers ability to understand and embrace it. The design of the first skyscraper was innovative, but it was made a lot more obvious by the construction of the Eiffel Tower. The ubiquitous mobile phone may now seem obvious, but it owes its existence to a very long list of enabling technologies that paved the way for it’s invention, from electricity to chips to Wi-Fi, etc.

The outcome of this ‘stage setting’ is that often even really big innovations occur simultaneously yet independently.  We’ve seen this play out with calculus (independently developed by Newton and Leibnitz), the atomic bomb, where Oppenheimer and company only just beat the Nazi’s, the theory of evolution, the invention of the thermometer, nylon and so many others.  We even see it in evolution, where scavenger birds vultures and condors superficially appear quite similar due to adaptations that allow them to eat carrion, but actually have quite different genetic lineages.  Similarly many marsupials look very similar to placental mammals that fill similar ecological niches, but typically evolved independently. Context has a huge impact on innovation, and similar contexts typical create parallel, and often similar innovations. As the world becomes more interconnected, and context becomes more homogenized, we are going to see more and more examples of simultaneous innovation.

Faster and More Competitive Innovation:  Today social media, search technology and the web mean that more people know more of the same ‘stuff’ more quickly than before.  This near instantaneous and democratized access to the latest knowledge sets the scene and context for a next generation of innovation that is faster and more competitive than we’ve ever seen.   More people have access to the pieces of the puzzle far more quickly than ever before; background information that acts as a precursor for the next innovative leap. Eddie had to go and watch Jimmy Paige live and in person to get his inspiration for ‘tapping’.  Today he, and a few million others would simply need to go onto YouTube.  He therefore discovered Paige’s hammer-on years after Paige started using them.  Today it would likely be days.  That acceleration of ‘innovation context’ has a couple of major implications: 

1.  If you think you’ve just come up with something new, it’s more than likely that several other people have too, or will do so very soon.   More than ever before you are more than likely in a race from the moment you have an idea! So snooze and you loose. Assume several others are working on the same idea.

2.  Regulating Innovation is becoming really, really difficult.  I think this is possibly the most profound implication.  For example, a very current and somewhat contentious topic today is if and how we should regulate AI.  And it’s a pretty big decision. We really don’t know how AI will evolve, but it is certainly moving very quickly, and comes with the potential for earthshaking pros and cons.  It is also almost inevitably subject to simultaneous invention.  So many people are working on it, and so much adjacent innovation is occurring, that it’s somewhat unlikely that any single group is going to get very far out in front.   The proverbial cat is out of the bag, and the race is on. The issue for regulation then becomes painfully obvious.   Unless we can somehow implement universal regulation, then any regulations simply slow down those who follow the rules.  This unfortunately opens the doors to bad actors taking the lead, and controlling potentially devastating technology.

So we are somewhat damned if we do, and damned if we don’t.  If we don’t regulate, then we run the risk of potentially dangerous technology getting out of control.  But if do regulate, we run the risk of enabling bad actors to own that dangerous technology.  We’ve of course been here before.  The race for the nuclear bomb between the Allies and the Nazi’s was a great example of simultaneous innovation with potentially catastrophic outcomes.   Imagine if we’d decided fission was simply too dangerous, and regulated it’s development to the point where the Nazi’s had got there first.  We’d likely be living in a very different world today!  Much like AI, it was a tough decision, as without regulation, there was a small but possible scenario where the outcome could have been devastating.    

Today we have a raft of rapidly evolving technologies that I’d both love to regulate, but am also profoundly worried about the unintended consequences of doing so.  AI of course, but also genetic engineering, gene manipulating medicines, even climate mediation and behavioral science!  With respect to the latter, the better we get at nudging behavior, and the more reach we have with those techniques, the more dangerous miss-use becomes.  

The core problem underlying all of this is that we are human.   Most people try to do the right thing, but there are always bad actors.  And even those trying to do the right thing all too often get it wrong.  And the more democratized access to cutting edge insight becomes, parallel innovation means the more contenders we have for mistakes and bad bad choices, intentional or unintentional. 

(b) Innovation versus Invention:  A less dramatic, but I think similarly interesting insight we can draw from Eddie lies in the difference between innovation and invention He certainly wasn’t the first guitarist to use the tapping technique.  That goes back centuries! At least as far as classical composer Paganini, and it was a required technique for playing the Chapman stick in the 1970’s, popularized by the great Tony Levin in King Crimson. It was also widely, albeit sparingly (and often obscurely) used by jazz guitarists in the 1950’s and 60’s. But Eddie was the first to feature it, and turn it into a meaningful innovation in of itself. Until him, nobody had packaged the technique in a way that it could be ‘marketed’ and ‘sold’ as a viable product. He found the killer application, made it his own, and made it a ‘thing’. I would therefore argue that he wasn’t the inventor, but he was the ‘innovator’.  This points to the value of innovation over invention.  If you don’t have the capability or the partners to turn an invention into something useful, its still just an idea.   Invention is a critical part of the broader innovation process, but in isolation it’s more curiosity than useful. Innovation is about reduction to practice and communication as well a great ideas

Art & science:  I love the arts.  I play guitar, paint, and photograph.  It’s a lot of fun, and provides a invaluable outlet from the stresses involved in business and innovation.  But as I suggested at the beginning, a lot of the boundaries we place between art and science, and by extension business, are artificial and counter-productive. Some of my most productive collaborations as a scientist have been with designers and artists. As a visual scientist, I’ve found that artists often intuitively have a command of attentional insights that our cutting edge science is still trying to understand.  It’s a lot of fun to watch Eddie Van Halen, but learning from great artists like him can, via analogy, also be surprisingly insightful and instructive.   

Image credits: Unsplash

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What’s Your Mindset?

What's Your Mindset?

GUEST POST from Dennis Stauffer

Your mindset has a powerful influence on how you think and behave—including how innovative you are. You have the power to shift your mindset to become more innovative. However, to do that effectively you need to know what your mindset is now, and it’s mostly subconscious.

I’m going to show you how to measure your mindset, by surfacing some of those hidden assumptions. To do this, you’ll need some way to jot down four numbers and make a simple calculation.

You may have heard about the work of Stanford University Professor Carol Dweck and her distinction between a growth and a fixed mindset, which is what I’m having you measure. It’s what Dweck calls your Theory of Intelligence.

For each of four statements, I’d like you to write down a number between 1 and 6. One indicating that you strongly disagree with that statement, and six that you strongly agree, with increments in-between.

  1. Strongly Disagree
  2. Disagree
  3. Slightly Disagree
  4. Slightly Agree
  5. Agree
  6. Strongly Agree

Ready?

  1. __ The first statement is: Our intelligence is something about each of us that we can’t change very much. Give that number between 1 and 6, depending on how strongly you agree or disagree with that statement.
  2. __ The next statement is: We can learn new things but we can’t really change how intelligent we are. Give that a number from one to six.
  3. __ The next statement is: No matter how much intelligence a person has, they can always change it quite a bit. Give that a number 1-6
  4. __ And the final statement is: I can always change how intelligent I am. Give that a number.

To score your results, add your first and second answers together to give yourself an “A” value, and add your third and fourth answers together to give yourself a “B” value.

If your A value is the larger of the two, that indicates that you favor what Dweck calls a fixed mindset—that you believe intelligence is largely fixed and unchanging.

If your B value is larger, you favor a growth mindset—defining intelligence as something you can change and grow.

The larger the difference between those two numbers, the stronger your preference.

In her research, Dweck has found this simple distinction has all sorts of ripple effects especially on how students perform. Students with a fixed mindset, may be quite smart, but they’re afraid to challenge themselves and try new things because if that reveals any intellectual deficits, they don’t believe they can do anything about it. Students with a growth mindset believe they can get smarter by working at it, giving them a strong motivation to work hard, learn and overcome setbacks. They tend to become the high performers.

You may never have given much thought to your personal theory of intelligence, but you almost certainly have one and it’s one of many hidden assumptions that make up your mindset. Dweck has found that those hidden assumptions impact your beliefs, behavior, motivation, competitiveness and ethics. Other researchers have found that mindset even impacts how your body functions.

Your mindset also impacts how innovative you are, and that can be measured too. Instead of the growth vs. fixed distinction, measuring your innovativeness involves a range of other tradeoffs. Things that impact how imaginative you are, how willing you are to take risks, how you make observations and how open you are to new insights and ideas.

A growth mindset makes you more willing to accept and push through failure, being ready to learn and discover. An Innovator Mindset is about how you go about doing that. How you can systematically find solutions and make improvements—including improving yourself. Being able to adapt and learn and make discoveries has many benefits in all aspects of your personal and professional life.

If you’d like to measure your innovativeness, across twelve dimensions, and receive detailed personalized feedback on how to improve it, go to Innovator Mindset where you’ll find links to take the Innovator Mindset assessment, or enroll in Mindset Trek elearning—which includes the assessment—to get in depth mindset training.

Here is a video version of this post:

Image Credit: Pixabay

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Top 10 Human-Centered Change & Innovation Articles of October 2023

Top 10 Human-Centered Change & Innovation Articles of October 2023Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are October’s ten most popular innovation posts:

  1. A New Innovation Sphere — by Pete Foley
  2. Thinking Like a Futurist — by Ayelet Baron
  3. Crossing the Possibility Space — by Dennis Stauffer
  4. Twelve Digital Disruptions of Your Sales Cycle — by Geoffrey A. Moore
  5. How to Fix Corporate Transformation Failure — by Greg Satell
  6. The Biggest Customer Service Opportunity — by Shep Hyken
  7. Do You Prize Novelty or Certainty? — by Mike Shipulski
  8. What Pundits Always Get Wrong About the Future — by Greg Satell
  9. The Biggest Challenge for Innovation is Organizational Inertia — by Stefan Lindegaard
  10. What Company Do You See in the Mirror? — by Mike Shipulski

BONUS – Here are five more strong articles published in September that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last three years:

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AI and Human Creativity Solving Complex Problems Together

AI and Human Creativity Solving Complex Problems Together

GUEST POST from Janet Sernack

A recent McKinsey Leading Off – Essentials for leaders and those they lead email newsletter, referred to an article “The organization of the future: Enabled by gen AI, driven by people” which stated that digitization, automation, and AI will reshape whole industries and every enterprise. The article elaborated further by saying that, in terms of magnitude, the challenge is akin to coping with the large-scale shift from agricultural work to manufacturing that occurred in the early 20th century in North America and Europe, and more recently in China. This shift was powered by the defining trait of our species, our human creativity, which is at the heart of all creative problem-solving endeavors, where innovation is the engine of growth, no matter, what the context.

Moving into Unchartered Job and Skills Territory

We don’t yet know what exact technological, or soft skills, new occupations, or jobs will be required in this fast-moving transformation, or how we might further advance generative AI, digitization, and automation.

We also don’t know how AI will impact the need for humans to tap even more into the defining trait of our species, our human creativity. To enable us to become more imaginative, curious, and creative in the way we solve some of the world’s greatest challenges and most complex and pressing problems, and transform them into innovative solutions.

We can be proactive by asking these two generative questions:

  • What if the true potential of AI lies in embracing its ability to augment human creativity and aid innovation, especially in enhancing creative problem solving, at all levels of civil society, instead of avoiding it? (Ideascale)
  • How might we develop AI as a creative thinking partner to effect profound change, and create innovative solutions that help us build a more equitable and sustainable planet for all humanity? (Hal Gregersen)

Because our human creativity is at the heart of creative problem-solving, and innovation is the engine of growth, competitiveness, and profound and positive change.

Developing a Co-Creative Thinking Partnership

In a recent article in the Harvard Business Review “AI Can Help You Ask Better Questions – and Solve Bigger Problems” by Hal Gregersen and Nicola Morini Bianzino, they state:

“Artificial intelligence may be superhuman in some ways, but it also has considerable weaknesses. For starters, the technology is fundamentally backward-looking, trained on yesterday’s data – and the future might not look anything like the past. What’s more, inaccurate or otherwise flawed training data (for instance, data skewed by inherent biases) produces poor outcomes.”

The authors say that dealing with this issue requires people to manage this limitation if they are going to treat AI as a creative-thinking partner in solving complex problems, that enable people to live healthy and happy lives and to co-create an equitable and sustainable planet.

We can achieve this by focusing on specific areas where the human brain and machines might possibly complement one another to co-create the systemic changes the world badly needs through creative problem-solving.

  • A double-edged sword

This perspective is further complimented by a recent Boston Consulting Group article  “How people can create-and destroy value- with generative AI” where they found that the adoption of generative AI is, in fact, a double-edged sword.

In an experiment, participants using GPT-4 for creative product innovation outperformed the control group (those who completed the task without using GPT-4) by 40%. But for business problem solving, using GPT-4 resulted in performance that was 23% lower than that of the control group.

“Perhaps somewhat counterintuitively, current GenAI models tend to do better on the first type of task; it is easier for LLMs to come up with creative, novel, or useful ideas based on the vast amounts of data on which they have been trained. Where there’s more room for error is when LLMs are asked to weigh nuanced qualitative and quantitative data to answer a complex question. Given this shortcoming, we as researchers knew that GPT-4 was likely to mislead participants if they relied completely on the tool, and not also on their own judgment, to arrive at the solution to the business problem-solving task (this task had a “right” answer)”.

  • Taking the path of least resistance

In McKinsey’s Top Ten Reports This Quarter blog, seven out of the ten articles relate specifically to generative AI: technology trends, state of AI, future of work, future of AI, the new AI playbook, questions to ask about AI and healthcare and AI.

As it is the most dominant topic across the board globally, if we are not both vigilant and intentional, a myopic focus on this one significant technology will take us all down the path of least resistance – where our energy will move to where it is easiest to go.  Rather than being like a river, which takes the path of least resistance to its surrounding terrain, and not by taking a strategic and systemic perspective, we will always go, and end up, where we have always gone.

  • Living our lives forwards

According to the Boston Consulting Group article:

“The primary locus of human-driven value creation lies not in enhancing generative AI where it is already great, but in focusing on tasks beyond the frontier of the technology’s core competencies.”

This means that a whole lot of other variables need to be at play, and a newly emerging set of human skills, especially in creative problem solving, need to be developed to maximize the most value from generative AI, to generate the most imaginative, novel and value adding landing strips of the future.

Creative Problem Solving

In my previous blog posts “Imagination versus Knowledge” and “Why Successful Innovators Are Curious Like Cats” we shared that we are in the midst of a “Sputnik Moment” where we have the opportunity to advance our human creativity.

This human creativity is inside all of us, it involves the process of bringing something new into being, that is original, surprising useful, or desirable, in ways that add value to the quality of people’s lives, in ways they appreciate and cherish.

  • Taking a both/and approach

Our human creativity will be paralysed, if we focus our attention and intention only on the technology, and on the financial gains or potential profits we will get from it, and if we exclude the possibilities of a co-creative thinking partnership with the technology.

To deeply engage people in true creative problem solving – and involving them in impacting positively on our crucial relationships and connectedness, with one another and with the natural world, and the planet.

  • A marriage between creatives, technologists, and humanities

In a recent Fast Company video presentation, “Innovating Imagination: How Airbnb Is Using AI to Foster Creativity” Brian Chesky CEO of Airbnb, states that we need to consider and focus our attention and intention on discovering what is good for people.

To develop a “marriage between creatives, technologists, and the humanities” that brings the human out and doesn’t let technology overtake our human element.

Developing Creative Problem-Solving Skills

At ImagineNation, we teach, mentor, and coach clients in creative problem-solving, through developing their Generative Discovery skills.

This involves developing an open and active mind and heart, by becoming flexible, adaptive, and playful in the ways we engage and focus our human creativity in the four stages of creative problem-solving.

Including sensing, perceiving, and enabling people to deeply listen, inquire, question, and debate from the edges of temporarily hidden or emerging fields of the future.

To know how to emerge, diverge, and converge creative insights, collective breakthroughs, an ideation process, and cognitive and emotional agility shifts to:

  • Deepen our attending, observing, and discerning capabilities to consciously connect with, explore, and discover possibilities that create tension and cognitive dissonance to disrupt and challenge the status quo, and other conventional thinking and feeling processes.
  • Create cracks, openings, and creative thresholds by asking generative questions to push the boundaries, and challenge assumptions and mental and emotional models to pull people towards evoking, provoking, and generating boldly creative ideas.
  • Unleash possibilities, and opportunities for creative problem solving to contribute towards generating innovative solutions to complex problems, and pressing challenges, that may not have been previously imagined.

Experimenting with the generative discovery skill set enables us to juggle multiple theories, models, and strategies to create and plan in an emergent, and non-linear way through creative problem-solving.

As stated by Hal Gregersen:

“Partnering with the technology in this way can help people ask smarter questions, making them better problem solvers and breakthrough innovators.”

Succeeding in the Age of AI

We know that Generative AI will change much of what we do and how we do it, in ways that we cannot yet anticipate.

Success in the age of AI will largely depend on our ability to learn and change faster than we ever have before, in ways that preserve our well-being, connectedness, imagination, curiosity, human creativity, and our collective humanity through partnering with generative AI in the creative problem-solving process.

Find Out More About Our Work at ImagineNation™

Find out about our collective, learning products and tools, including The Coach for Innovators, Leaders, and Teams Certified Program, presented by Janet Sernack, is a collaborative, intimate, and deeply personalized innovation coaching and learning program, supported by a global group of peers over 9-weeks, which can be customised as a bespoke corporate learning program.

It is a blended and transformational change and learning program that will give you a deep understanding of the language, principles, and applications of an ecosystem focus, human-centric approach, and emergent structure (Theory U) to innovation, and upskill people and teams and develop their future fitness, within your unique innovation context. Find out more about our products and tools.

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LEGO Knows Why Companies Don’t Innovate

LEGO Knows Why Companies Don't Innovate

GUEST POST from Robyn Bolton

“Lego’s Latest Effort to Avoid Oil-Based Plastic Hits Brick Wall” – WSJ

“Lego axes plans to make bricks from recycled bottles” – BBC

“Lego ditches oil-free brick in sustainability setback” – The Financial Times

Recently, LEGO found itself doing the Walk of Atonement (see video below) after announcing to The Financial Times that it was scrapping plans to make bricks from recycled bottles, and media outlets from The Wall Street Journal to Fast Company to WIRED were more than happy to play the Shame Nun.

And it wasn’t just media outlets ringing the Shame Bell:

  • In the future, they should not make these kinds of announcements (prototype made from recyclable plastic) until they actually do it,” Judith Enck, President of Beyond Plastics
  • They are not going to survive as an organization if they don’t find a solution,” Paolo Taticchi, corporate sustainability expert at University College London.
  • “Lego undoubtedly had good intentions, but if you’re going to to (sic) announce a major environmental initiative like this—one that affects the core of your company—good intentions aren’t enough. And in this instance, it can even undermine progress.” Jesus Diaz, creative director, screenwriter, and producer at The Magic Sauce, writing forFast Company

As a LEGO lover, I am not unbiased, but WOW, the amount of hypocritical, self-righteous judgment is astounding!  All these publications and pundits espouse the need for innovation, yet when a company falls even the tiniest bit short of aspirations, it’s just SHAME (clang) SHAME (clang) SHAME.

LEGO Atlantis 8073 Manta Warrior (i.e., tiny) bit of context

In 1946, LEGO founder Ole Kirk Christiansen purchased Denmark’s first plastic injection molding machine.  Today, 95% of the company’s 4,400 different bricks are made using acrylonitrile butadiene styrene (ABS), a plastic that requires 4.4 pounds of oil to produce 2.2 pounds of brick.  Admittedly, it’s not a great ratio, and it gets worse.  The material isn’t biodegradable or easily recyclable, so when the 3% of bricks not handed down to the next generation end up in a landfill, they’ll break down into highly polluting microplastics.

With this context, it’s easy to understand why LEGO’s 2018 announcement that it will move to all non-plastic or recycled materials by 2030 and reduce its carbon emissions by 37% (from 2019’s 1.2 million tons) by 2032 was such big news.

Three years later, in 2021, LEGO announced that its prototype bricks made from polyethylene terephthalate (PET) bottles offered a promising alternative to its oil-based plastic bricks. 

But last Monday, after two years of testing, the company shared that what was promising as a prototype isn’t possible at scale because the process required to produce PET-based bricks actually increases carbon emissions.

SHAME!

LEGO Art World Map (i.e. massive) amount of praise for LEGO

LEGO is doing everything that innovation theorists, consultants, and practitioners recommend:

  • Setting a clear vision and measurable goals so that people know what the priorities are (reduce carbon emissions), why they’re important (“playing our part in building a sustainable future and creating a better world for our children to inherit”), and the magnitude of change required
  • Defining what is on and off the table in terms of innovation, specifically that they are not willing to compromise the quality, durability, or “clutch power” of bricks to improve sustainability
  • Developing a portfolio of bets that includes new materials for products and packaging, new services to keep bricks out of landfills and in kids’ hands, new building and production processes, and active partnerships with suppliers to reduce their climate footprint
  • Prototyping and learning before committing to scale because what is possible at a prototype level is different than what’s possible at pilot, which is different from what’s possible at scale.
  • Focusing on the big picture and the long-term by not going for the near-term myopic win of declaring “we’re making bricks from more sustainable materials” and instead deciding “not to progress” with something that, when taken as a whole process, moves the company further away from its 2032 goal.

Just one minifig’s opinion

If we want companies to innovate (and we do), shaming them for falling short of perfection is the absolute wrong way to do it.

Is it disappointing that something that seemed promising didn’t work out?  Of course.  But it’s just one of many avenues and experiments being pursued.  This project ended, but the pursuit of the goal hasn’t.

Is 2 years a long time to figure out that you can’t scale a prototype and still meet your goals?  Maybe.  But, then again, it took P&G 10 years to figure out how to develop and scale a perforation that improved one-handed toilet paper tearing.

Should LEGO have kept all its efforts and success a secret until everything was perfect and ready to launch?  Absolutely not.  Sharing its goals and priorities, experiments and results, learnings and decisions shows employees, partners, and other companies what it means to innovate and lead.

Is LEGO perfect? No.

Is it trying to be better? Yes.

Isn’t that what we want?

Image Credit: Pixabay

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