Category Archives: Creativity

10 Military Innovation Moments

GUEST POST from Robyn Bolton

Innovation is something different that creates value. Sometimes it’s big, new to the world, world-changing things. Sometimes it’s a slight tweak to make things easier, faster, cheaper or better.

Sometimes, it’s both.

It’s no secret that the military and NASA are birthplaces of incredible inventions (something new) and innovations (something different that creates value). Most people know that Velcro, nylon, and powdered drinks (Tang!) originated at Nasa, and that Jeep, GPS, and the internet come to us from the military.

But did you know that these 10 everyday innovations have their origin in the military?

1. Duct Tape

Invented in 1942 to seal ammo boxes with something that could resist water and dirt while also being fast and easy to remove so soldiers could quickly access ammunition when they needed it. Originally, it was made by applying a rubber-based adhesive to duck cloth, a plain and tightly woven cotton fabric, and has evolved over the years to be used for everything from repairing equipment on the moon to purses.

2. Synthetic Rubber Tires

Speaking of rubber, prior to WWII, most rubber was harvested from trees in South America and shipped to southern Asia where the majority of rubber products were produced. When the Axis powers cut-off access to Asia, the US military turned to Firestone, Goodyear, and Standard Oil to create a replacement substance. The recipe they created is still used today.

3. Silly Putty

Image Credit: thestrong.org

Like most inventions, there were a lot of failed experiments before the right synthetic rubber recipe was found. Silly Putty is the result of one of those experiments. A scientist at GE developed the strange substance but quickly shelved it after it became clear that it had no useful military application. Years later, GER execs started showing off the novelty item at cocktail parties, an advertising exec in attendance saw its commercial potential and bought the manufacturing rights, packaged it into eggs and sold it as a toy. 350 million eggs later, we’re still playing with it.

4. Superglue

The result of another failed experiment, Superglue came onto the market in 1958 and has stuck around ever since (sorry, that pun was intended). Military scientists were testing materials to use as clear plastic rifle sights and created an incredibly durable but impossibly sticky substance called cyanoacrylate. Nine years later it was being sold commercially as Superglue and eventually did make its way into military use during the Vietnam War as a way to immediately stop bleeding from wounds.

5. Feminine Hygiene Pads

Image Credit: Museum of American History

Before Superglue was used to stop bleeding, bandages woven with cellulose were used on the battlefields and hospitals. Seeing how effective the bandages were at holding blood and the convenience of having so many on hand, US and British WW1 nurses began using them as sanitary napkins and bandage makers adapted and expanded their post-War product lines to accommodate.

6. Undershirts

Image Credit: Foto-ianniello/Getty Images

While people have been wearing undergarments for centuries, the undershirt as we know it — a t-shaped, cotton, crewneck — didn’t come into being until the early twentieth century. Manufactured and sold by the Cooper Underwear Co., it caught the Navy’s eye as a more convenient and practical option than the current button-up shirts. In 1905, it became part of the official Navy uniform and the origin of the term “crewneck.”

7. Aerosol Big Spray

Image Credit: National WWII Museum

Soldiers fighting in the Pacific theater of WWII had a lot to worry about, so they were eager to cross mosquitos and malaria off that list. In response, the Department of Defense teamed up with the Department of Agriculture to find a way to deliver insecticide as a fine mist. The first aerosol “bug bomb” was patented in 1941 and, thanks to the development of a cheaper plastic aerosol valve, became commercially available to civilians in 1949.

8. Canned Food

Image Credit: Pacific Paratrooper — WordPress.com

While it’s not surprising that canned foods were originally created for the military, it may surprise you to learn that it was Napoleon’s armies that first used the concept. In response to the French Government’s offer of a large cash reward for anyone who could find a way to preserve large quantities of food, an inventor discovered that food cooked inside a jar wouldn’t spoil unless the seal leaked, or the container was broken. But glass jars are heavy and fragile, so innovation continued until WW1 when metal cans replaced the glass jars.

9. Microwave

RadaRange on the Nuclear Ship NS Savannah

This is another one that you probably would have guessed has its origins in the military but may be surprised by its actual origin story. The term “microwave” refers to an adaptation of radar technology that creates electromagnetic waves on a tiny scale and passes those micro-waves through food, vibrating it, and heating it quickly. The original microwaves made their debut in 1946 on ships but it took another 20 years to get the small and affordable enough to be commercially viable.

10. Wristwatches

Image Credit: Hodinkee

Watches first appeared on the scene in the 15th century but they didn’t become reliable or accurate until the late 1700s. However, up until the early 20th century, wristwatches were primarily worn as jewelry by women and men used pocket watches. During its military campaigns in the late 1880s, the British Army began using wristwatches as a way to synchronize maneuvers without alerting the enemy to their plans. And the rest, as they say, is history.


So, there you have it. 10 everyday innovations brought to us civilians by the military. Some, like synthetic rubber, started as intentional inventions (something new) and quickly became innovations (something new that creates value). Some, like superglue and silly putty, are “failed” experiments that became innovations. And some, like undershorts and feminine products, are pure innovations (value-creating adaptations of pre-existing products to serve different users and users).

Sources: USA TodayPocket-lint.com, and Mic.com

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

Want to Innovate like Google?

Be Careful What You Wish For

Want to Innovate like Google?

GUEST POST from Robyn Bolton

A few weeks ago, a Google researcher leaked an internal document asserting that Google (and open AI) will lose the AI “arms race” to Open Source AI.

I’ll be honest: I didn’t understand much of the tech speak – LLM, LLaMA, RLHF, and LoRA are just letters to me. But I understood why the memo’s writer believed that Google was about to lose out on a promising new technology to a non-traditional competitor.

They’re the same reasons EVERY large established company loses to startups.

Congratulations, big, established industry incumbents, you’re finally innovating like Google!

(Please note the heavy dose of sarcasm intended).

Innovation at Google Today

The document’s author lists several reasons why “the gap is closing astonishingly quickly” in terms of Google’s edge in AI, including:

  1. “Retraining models from scratch is the hard path” – the tendency to want to re-use (re-train) old models because of all the time and effort spent building them, rather than start from scratch using newer and more flexible tools
  2. “Large models aren’t more capable in the long run if we can iterate faster on small models” – the tendency to want to test on a grand scale, believing the results are more reliable than small tests and drive rapid improvements.
  3. “Directly competing with open source is a losing proposition” – most people aren’t willing to pay for perfect when “good enough” is free.
  4. “We need them more than they need us” – When talent leaves, they take knowledge and experience with them. Sometimes the competitors you don’t see coming.
  5. “Individuals are not constrained by licenses to the same degree as corporations” – Different customers operate by different rules, and you need to adjust and reflect that.
  6. “Being your own customer means you understand the use case” – There’s a huge difference between designing a solution because it’s your job and designing it because you are in pain and need a solution.

What it sounds like at other companies

Even the statements above are a bit tech industry-centric, so let me translate them into industry-agnostic phrases, all of which have been said in actual client engagements.

  1. Just use what we have. We already paid to make it.
  2. Lots of little experiments will take too long, and the dataset is too small to be trusted. Just test everything all at once in a test market, like Canada or Belgium.
  3. We make the best . If customers aren’t willing to pay for it because they don’t understand how good it is, they’re idiots.
  4. It’s a three-person startup. Why are we wasting time talking about them?
  5. Aren’t we supposed to move fast and test cheaply? Just throw it in Google Translate, and we’ll be done.
  6. Urban Millennials are entitled and want a reward. They’ll love this! (60-year-old Midwesterner)

How You (and Google) can get back to the Innovative Old Days

The remedy isn’t rocket (or computer) science. You’ve probably heard (and even advocated for) some of the practices that help you avoid the above mistakes:

  1. Call out the “sunk cost fallacy,” clarify priorities, and be transparent about trade-offs. Even if minimizing costs is the highest priority, is it worth it at the expense of good or even accurate data?
  2. Define what you need to learn before you decide how to learn it. Apply the scientific method to the business by stating your hypothesis and determining multiple ways to prove or disprove it. Once that’s done, ask decision-makers what they need to see to agree with the test’s result (the burden of proof you need to meet).
  3. Talk. To. Your. Customers. Don’t run a survey. Don’t hire a research firm. Stand up from your desk, walk out of your office, go to your customers, and ask them open-ended questions (Why, how, when, what). 
  4. Constantly scan the horizon and seek out the small players. Sure, most of them won’t be anything to worry about, but some will be on to something. Pay attention to them.
  5. See #3
  6. See #3

Big companies don’t struggle with innovation because the leaders aren’t innovative (Google’s founders are still at the helm), the employees aren’t smart (Google’s engineers are amongst the smartest in the world), or the industry is stagnating (the Tech industry has been accused of a lot, but never that).

Big companies struggle to innovate because operating requires incredible time, money, and energy. Adding innovation, something utterly different, to the mix feels impossible. But employees and execs know it’s essential. So they try to make innovation easier by using the tools, processes, and practices they already have. 

It makes sense. 

Until you wake up and realize you’re Google.

Image credit: Unsplash

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

Transformative Strategies Propel You From Good to Great

Catalysts of Creativity

Transformative Strategies Propel You From Good to Great

GUEST POST from Teresa Spangler

“The desire to create is one of the deepest yearnings of the human soul.” 

Dieter F. Uchtdorf

Creating Brilliance: Unlocking Greatness Through the Power of Fresh Perspectives

So, you’ve got a good team—dedicated, hardworking, and innovative. But you’re aiming for greatness. You want that creative spark to turn into a full-blown inferno. You’re seeking the secret ingredient to take you from good to extraordinary. The Wall Street Journal article, To Spur Team Creativity, Replace a Regular With an Outsider that secret may be as simple as inviting an unexpected guest sparking a creative fiesta.

Unearthing Diamonds: The Unconventional Maverick

Let’s imagine your team is a finely tuned orchestra, each instrument playing its part to create a harmonious melody. Now, suppose you bring in a jazz saxophonist to your classical symphony. It’s out there. But the unique rhythm and raw improvisation that the saxophonist introduces can completely transform your orchestra’s sound, creating a rich, vibrant symphony that’s truly unforgettable. That’s the exciting, transformative potential an outsider brings to your team.

This isn’t a novel concept. It dates back to the time of the Medicis in Renaissance Italy. This influential family knew that when diverse minds—scientists, artists, philosophers, all under one roof—collide, they create a kaleidoscope of groundbreaking ideas. Your team can tap into That magic of the Medici effect.

From Good to Great: Ingenious Strategies for a Fresh Perspective

How do you go from good things are peachy to GREAT we’re rockin and rollin like the best jazz bands in a world? Here are some ingenious ideas to help you:

  1. Cross-Pollination with Different Industries: Imagine what could happen when your team brainstorms with folks from a different sector. It’s like creating a fusion cuisine that surprises and delights. Remember the delicious blend of tech and fitness when Apple and Nike collaborated? We got the brilliant Nike+ product line!
  2. The AI Ace: AI tools, like OpenAI’s GPT-4, can be your secret weapon to unleash a storm of innovative ideas, helping you push the boundaries of what’s possible.
  3. Global Immersion: Send your team members on an adventure to explore different cultures, similar to Adobe’s international sabbaticals. The diverse insights they return with can be the secret to your team’s creativity.
  4. Innovation Showdowns: Throw open a challenge to outsiders to develop innovative ideas. GE’s Ecomagination Challenge did just this, resulting in a treasure trove of ideas on renewable energy.
  5. Crowdsourcing Creativity: Leverage the crowd’s power to generate many ideas. Online platforms like our PBG Innovation Labs, IdeaScale pr Innocentive platforms can help you source a universe of ideas from a world of thinkers.

Creative Sparks: Exercises to Ignite Brilliance

While bringing in fresh perspectives, it’s equally important to stoke the internal creative fires. Here are a few fun exercises that can help:

  1. Rapid Ideation: Set a timer and get your team to write down as many ideas as possible on a topic. The aim is to think quickly and wildly, making way for some unexpected gems of ideas.
  2. Storyboarding: This technique borrowed from filmmakers can help your team visualize a process or product development, opening up new avenues for innovation.
  3. Yes, And…: Borrowed from improv comedy, this exercise involves building on a teammate’s idea with an attitude of acceptance and expansion, creating an environment that encourages creative risk-taking.
  4. The 30 Circles Test: Give your team a sheet of paper with 30 identical circles and challenge them to transform as many circles as possible into different objects within a set time. This exercise is an excellent exercise for enhancing flexibility and diversity in thinking.
  5. The Six Thinking Hats: A strategy developed by Edward de Bono, this exercise requires team members to ‘wear’ different ‘hats’ representing various thinking styles – factual, emotional, and creative. Six Thinking Hats promotes diversity of thought and holistic problem-solving.

Igniting Greatness: Creative Exercises and Wisdom from ‘Thinkertoys’

One of my favorite go to creative resources is the book, Thinkertoys, as I reference in the article The Phoenix Checklist, there are many great exercises in the book. I note a few below.

False Faces: Based on a technique from Michael Michalko’s ‘Thinkertoys,’ this exercise encourages reversing your perspective to spark innovation. For example, if you think a particular solution won’t work, switch your mindset to consider how it could work. The shift in perspective often uncovers unexpected paths.

  1. Hall of Fame: Inspired by another Thinkertoy, this exercise has you pondering what a famous individual would do if faced with your problem. Posing Albert Einstein or Amelia Earhart can lead to innovative solutions that you might not have thought of in your shoes.
  2. Circle of Opportunity: This ‘Thinkertoy’ involves identifying trends relevant to your project or problem. Then, pick two randomly and try to create opportunities at their intersection. This exercise can often result in novel ideas or approaches.
  3. The Three B’s: Another recommendation from ‘Thinkertoys,’ the Three B’s stand for Bath, Bed, and Bus. Our best ideas often come to us during quiet times or when our mind is relaxed. Incorporate downtime into your brainstorming process to allow ideas to flow naturally.

Now, let’s sprinkle in some wisdom from ‘Thinkertoys’:

  • “Everyone can create if given the opportunity and the right methods” – Let this be your team’s mantra. Creativity isn’t the domain of a select few—it’s a muscle everyone has and can be trained with the right exercises.
  • “All the good ideas have not been thought of yet” – Just when you think you’re out of ideas, remember this. Innovation is boundless space, and there’s always room for another groundbreaking idea.
  • “Separate fact from fiction, and you will discover your unique way of thinking” – Encourage your team to challenge assumptions and look at the facts constantly. This will help them forge their unique problem-solving approach.

Embracing this wisdom from ‘Thinkertoys,’ along with the exercises and strategies mentioned above, can empower your team to move from good to great. Remember, diversity of thought and ideas is the wind beneath your creative wings—let it carry you to unexplored heights of innovation. Keep striving, innovate, and let the fireworks of creativity illuminate your path to greatness.

Reaping the Rich Harvest of Outsider Influence

Welcoming an outsider to your team is akin to introducing a new species into an ecosystem. It stirs things up, leads to some unexpected interactions, and eventually, often creates a more dynamic, resilient system.

Explaining the team’s ways to an outsider forces everyone to take a step back, reevaluate, and articulate their perspectives more clearly. And in that process, you’re likely to uncover some unexplored trails, some exciting possibilities that were right there, waiting to be discovered.

Also, the outsider’s fresh approach to solving problems is contagious. Before you know it, your team members are trying on different hats, looking at challenges from new angles, and coming up with solutions that are as out-of-the-box as they are effective.

Going from Good to Great: The Creative Way

So, the Wall Street wisdom stands true—adding an outsider to your team can be the secret ingredient to take you from good to great. By inviting fresh perspectives and stimulating internal creativity through clever strategies and exercises, you’re not just kindling the creative spark but fueling a brilliant blaze of innovation.

Remember, diversity of thought and ideas isn’t just a good-to-have—it’s the golden key that unlocks greatness. By embracing diversity, we ensure that our team doesn’t settle for the ordinary but constantly reaches for the extraordinary. So let’s keep striving for the stars and make the journey from good to great creatively fulfilling. Get ready to embrace brilliance, and let the creative fireworks begin!

 LEARN MORE

Learn how we leverage the best strategies for your organization to spark new ways of thinking and prepare you for a strong growth filled future. Schedule a complimentary facilitated 2-hour creative program today and kickstart renewed energy and creative culture.

Image credit: Unsplash

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

Basketball, Banks and Banana Splits

Is failure everywhere?

Basketball, Banks and Banana Splits

GUEST POST from Robyn Bolton

When asked to describe his test for determining what is and isn’t hard-core pornography, Supreme Court Justice Potter Stewart responded, “I know it when I see it.”

In that sense, pornography and failure may have a lot in common.

By accident, I spent the month of April thinking, writing (here and here), and talking about failure. Then, in the last week, a bank failed, two top-seeded sports teams were eliminated in the first round of the playoffs, and the New York Times wrote a feature article on the new practice of celebrating college rejections.

Failure was everywhere.

But was it?

SVB, Signature, First Republic – Failure.

On Monday, First Republic Bank became the third bank this year to fail. Like Silicon Valley Bank and Signature Bank, it met the definition of bank failure according to the FDIC – “the closing of a bank by a federal or state banking regulatory agency…[because] it is unable to meet its obligations to depositors and others.”

It doesn’t matter if the bank is a central part of the entrepreneurial ecosystem, is on the cutting edge of new financial instruments like cryptocurrency, or caters to high-net-worth individuals. When you give money to a bank, an institution created to keep your money safe, and it cannot give it back because it spent it, that is a failure.

Milwaukee Bucks – Failure?

Even if you’re not an NBA fan, you probably heard about the Milwaukee Bucks star Giannis Antetokounmpo’s interview after the team’s playoff elimination. 

Here’s some quick context – the Milwaukee Bucks had the best regular season record and were widely favored to win the title. Instead, they lost in Game 5 to the 8th-ranked Miami Heat. After the game, a reporter asked Antetokounmpo if he viewed the season as a failure, to which Antetokounmpo responded:

“It’s not a failure; it’s steps to success. There’s always steps to it. Michael Jordan played 15 years, won six championships. The other nine years was a failure? That’s what you’re telling me? It’s a wrong question; there’s no failure in sports.”

If you haven’t seen the whole clip, it’s worth your time:

The media went nuts, fawning over Antetokounmpo’s thoughtful and philosophical response, the epitome of an athlete who gives his all and is graceful in defeat. One writer even went so far as to proclaim that “Antetokounmpo showed us another way to live.”

But not everyone shared that perspective. In the post-game show, four-time NBA champion Shaquille O’Neal was one of the first to disagree,

“I played 19 seasons and failed 15 seasons; when I didn’t win it, it was a failure, especially when I made it to the finals versus the (Houston) Rockets and lost, made it to the finals for the fourth time with the (Los Angeles) Lakers and lost, it was definitely a failure.

.

I can’t tell everybody how they think, but when I watch guys before me, the Birds, the Kareems, and you know that’s how they thought, so that’s how I was raised.

.

He’s not a failure as a player, but is it a failure as a season? I would say yes, but I also like his explanation. I can understand and respect his explanation, but for me, when we didn’t win it, it was always my fault, and it was definitely a failure.”

Did Antetokounmpo fail?  Are the Bucks a failure? Was their season a failure?

It depends.

College Rejections – Not Failure

Failure is rarely fun, but it can be absolutely devastating if all you’ve ever known is success. Just ask anyone who has ever applied to college. Whether it was slowly opening the mailbox to see if it contained a big envelope or a small one or hesitatingly opening an email to get the verdict, the college application process is often the first time people get a taste of failure.

Now, they also get a taste of ice cream.

Around the world, schools are using the college application and rejection process as a learning experience:

  • LA: Seniors gather to feed their rejection letters into a shredder and receive an ice cream sundae. The student with the most rejections receives a Barnes & Noble gift card. “You have to learn that you will survive and there is a rainbow at the other end,” said one of the college counselors.
  • NYC: After adding their rejection letters to the Rejection Wall, students pull a prize from the rejection grab bag and enjoy encouraging notes from classmates like, “You’re too sexy for Vassar” or “You’ve been rejected, you’re too smart. Love, NYU.”
  • Sydney, Australia: a professor started a Rejection Wall of Fame after receiving two rejections in one day, sharing his disappointment with a colleague only to hear how reassured they were that they weren’t alone.

“I know it when I see it” – Failure

I still don’t know a single definition or objective test for failure.

But I do know that using “I’ll know it when I see it” to define failure is a failure. 

It’s a failure because we can define success and failure before we start. 

Sometimes failure is easy to define – if you are a bank and I give you money, and you don’t give it back to me with interest, that is a failure. Sometimes the definition is subjective and even personal, like defining failure as not making the playoffs vs. not winning a championship, or not applying to a school vs. not getting in.

Maybe failure is everywhere. Maybe it’s not.

I’ll know it when I define it.

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

How to Fail Your Way to Success

How to Fail Your Way To Success

GUEST POST from Robyn Bolton

“Rapid Unscheduled Disassembly”

It’s a meme and my new favorite euphemism for getting dumped/fired (as in, “There was a rapid unscheduled disassembly of our relationship.”  Thank you, social media, for this gem)

It’s also spurred dozens of conversations with corporate leaders and innovation teams about the importance of defining success, the purpose of experiments, and the necessity of risk. 

Define Success so You Can Identify Failure

The dictionary defines “fail (verb)” as “be unsuccessful in achieving one’s goal.”

But, as I wrote last week, using your definition of success to classify something as a failure assumes you defined success correctly.

Space X didn’t define success as carrying “two astronauts from lunar orbit to the surface of the moon,” Starship’s ultimate goal. 

It defined success in 3 ways:

  • Big picture (but a bit general) – Validating “whether the design of the rocket system is sound.”
  • Ideal outcome – “Reach an altitude of 150 miles before splashing down in the Pacific Ocean near Hawaii 90 minutes [after take-off].”
  • Base Case – Fly far enough from the launchpad and long enough to generate “data for engineers to understand how the vehicle performed.”

By defining multiple and internally consistent types of success, SpaceX inspired hope for the best and set realistic expectations. And, if the rocket exploded on the launchpad? That would be a failure.

Know What You Need to Learn so You Know What You Need to Do

This was not the first experiment SpaceX ran to determine “whether the design of the rocket system was sound.”  But this probably was the only experiment they could run to get the data they needed at this point in the process.

You can learn a lot from lab tests, paper prototypes, and small-scale experiments. But you can’t learn everything. Sometimes, you need to test your idea in the wild.

And this scares the heck out of executives.

As the NYT pointed out, “Big NASA programs like the Space Launch System…are generally not afforded the same luxury of explode-as-you-learn. There tends to be much more testing and analysis on the ground — which slows development and increases costs — to avoid embarrassing public failures.”

Avoiding public failure is good. Not learning because you’re afraid of public failure is not.

So be clear about what you need to learn, all the ways you could learn it, and the trade-offs of private, small-scale experiments vs. large-scale public ones. Then make your choice and move forward.

Have Courage. Take a Risk

“Every great achievement throughout history has demanded some level of calculated risk, because with great risk comes great reward,” Bill Nelson, NASA Administrator.

“Great risk” is scary. Companies do not want to take great risks (see embarrassing public failure).

“Calculated risk” is smart. It’s necessary. It’s also a bit scary.

You take a risk to gain something – knowledge, money, recognition. But you also create the opportunity to lose something. And since the psychological pain of losing is twice as powerful as the pleasure of gaining, we tend to avoid risk.

But to make progress, you must take a risk. To take a risk, you need courage.

And courage is a skill you can learn and build. For many of us, it starts with remembering that courage is not the absence of fear. It is the choice to take action despite fear. 

When faced with a risk, face it. Acknowledge it and how you feel. Assess it by determining the best, worst, and most likely scenarios. Ask for input and see it from other people’s perspectives. Then make your choice and move forward.

How to know when you’ve successfully failed

Two quotes perfectly sum up what failure en route to success is:

“It may look that way to some people, but it’s not a failure. It’s a learning experience.”- Daniel Dumbacher, executive director of the American Institute of Aeronautics and Astronautics and a former high-level NASA official.

“Would it have been awesome if it didn’t explode? Yeah. But it was still awesome.” – Launch viewer Lauren Posey, 34.

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.






What is Failure?

What is Failure?

GUEST POST from Robyn Bolton

A couple of weeks ago, I wrote about my hatred of failure while acknowledging that there are things I hate more (inertia, blind allegiance to the status quo, unwillingness to try) that motivate me to risk it.

In response, I received this email from my friend and former colleague Daymara, now the Founder & CEO of Rockin’ Baker in Fayetteville, AR (shared here with her permission)

I’m the opposite. I love failing! That’s when I learn the most, that I question what and how I could better, question more and more. It triggers my brain to look back, re-evaluate, assess and spring forward. I wouldn’t be here today if I had not risked. I don’t think anyone starts anything thinking when they’d fail. But some of us aren’t afraid or hate it. I wouldn’t be here if I hate failing, wouldn’t have left my country looking for a safer place, wouldn’t have launched RBI because I didn’t have any entrepreneurial experience not even in the hospitality industry, wouldn’t have switched to focus on neurodiversity and so much more.

.

Because I came to the US, I got to meet you. Yes, I failed at seeing the signs & lost over 60% of my savings just 2 weeks before leaving Venezuela. I could’ve decided to stay because maybe it was going to be harder and the risk of failing in a country I didn’t know higher. I had a plan. If it didn’t work, come back home & start all over again.

.

I started RBI understanding that I could fail. I told myself, if I did, at least I would have an answer. Yes, I’m failing terribly at making this social enterprise work. Yet, I’ve gained so much knowledge about humanity, our differences, the unfairness that neurodivergents have to live daily, running a social enterprise and so much more. If I had hated failing, I wouldn’t be sharing my experience with other entrepreneurs so they don’t make the same mistakes I made. I wouldn’t be advocating for more equitable places for all, including women.

.

Failing feeds me to do better, to ask more questions, to explore more, to lead me to become better. I don’t love failing, I welcome it.

.

My first thought was, “Wow, this is so healthy! I wish more people felt and acted this way!”

My second thought was, “I wouldn’t apply the word ‘fail’ to any of these situations. You’re trying, learning, changing, and trying again.:

Just because you don’t get the expected outcome the first time doesn’t mean you failed.

Or does it?

What the Dictionary Says

According to Oxford Languages, “fail” (verb) means

  1. Be unsuccessful in achieving one’s goal, “he failed in his attempt to secure election.”
  2. Neglect to do something, “the firm failed to give adequate risk warnings.”
  3. Break down; cease to work well, “a truck whose brakes had failed.”

True but contextual:

  1. If success is defined as launching a new product, but customer feedback proves there’s no demand or willingness to pay, is shutting it down a failure?
  2. If you neglect something that isn’t important or doesn’t have significant ramifications, like not eating breakfast, did you fail or simply forget, run out of time, or make a mistake?
  3. If something works but not well, like an expense reporting system, is it a failure or just burdensome, a pain, or a necessary evil?

Also, incomplete.

What People Say

“Fail” has so many definitions and meanings in Daymara’s telling of her story. In addition to some of the dictionary’s definitions, she also uses “Fail” to mean:

  1. Take smart risks, “I could’ve decided to stay because maybe it was going to be harder and the risk of failing in a country I didn’t know higher. I had a plan. If it didn’t work, come back home & start all over again.”
  2. Get new information to facilitate learning,
    • “I’m the opposite. I love failing! That’s when I learn the most, that I question what and how I could better, question more and more. It triggers my brain to look back, re-evaluate, assess and spring forward.”
    • I started RBI understanding that I could fail. I told myself, if I did, at least I would have an answer.
  3. Adapt and change based on learning, “wouldn’t have switched to focus on neurodiversity”
  4. Grow, improve, evolve, “Failing feeds me to do better, to ask more questions, to explore more, to lead me to become better. I don’t love failing, I welcome it.”

What Do You Say?

Like “Innovation,” “Failure” is a word we all use A LOT that no longer has a common definition. In the dictionary, failure is bad and to be avoided. To Daymara and scores of entrepreneurs and innovators, failure is wonderful and welcome.

Progress, either towards or away from failure, requires us to define “Failure” for ourselves and our work and agree on a definition with our teammates.

So, tell me:

  1. What is failure to you?
  2. To your team?
  3. To your boss?

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

When Innovation Becomes Magic

When Innovation Becomes Magic

GUEST POST from Pete Foley

Arthur C Clarke’s 3rd Law famously stated:

“Any sufficiently advanced technology is indistinguishable from magic”

In other words, if the technology of an advanced civilization is so far beyond comprehension, it appears magical to a less advanced one. This could take the form of a human encounter with a highly advanced extraterrestrial civilization, how current technology might be viewed by historical figures, or encounters between human cultures with different levels of scientific and technological knowledge.

Clarke’s law implicitly assumed that knowledge within a society is sufficiently democratized that we never view technology within a civilization as ‘magic’.  But a combination of specialization, rapid advancements in technology, and a highly stratified society means this is changing.  Generative AI, Blockchain and various forms of automation are all ‘everyday magic’ that we increasingly use, but mostly with little more than an illusion of understanding around how they work.  More technological leaps are on the horizon, and as innovation accelerates exponentially, we are all going to have to navigate a world that looks and feels increasingly magical.   Knowing how to do this effectively is going to become an increasingly important skill for us all.  

The Magic Behind the Curtain:  So what’s the problem? Why do we need to understand the ‘magic’ behind the curtain, as long as we can operate the interface, and reap the benefits?  After all, most of us use phones, computers, cars, or take medicines without really understanding how they work.  We rely on experts to guide us, and use interfaces that help us navigate complex technology without a need for deep understanding of what goes on behind the curtain.

It’s a nuanced question.  Take a car as an analogy.  We certainly don’t need to know how to build one in order to use one.  But we do need to know how to operate it and understand what it’s performance limitations are.  It also helps to have at least some basic knowledge of how it works; enough to change a tire on a remote road, or to have some concept of basic mechanics to minimize the potential of being ripped off by a rogue mechanic.  In a nutshell, the more we understand it, the more efficiently, safely and economically we leverage it.  It’s a similar situation with medicine.  It is certainly possible to defer all of our healthcare decisions to a physician.  But people who partner with their doctors, and become advocates for their own health generally have superior outcomes, are less likely to die from unintended contraindications, and typically pay less for healthcare.  And this is not trivial.  The third leading cause of death in Europe behind cancer and heart disease are issues associated with prescription medications.  We don’t need to know everything to use a tool, but in most cases, the more we know the better

The Speed/Knowledge Trade-Off:  With new, increasingly complex technologies coming at us in waves, it’s becoming increasing challenging to make sense of what’s ‘behind the curtain’. This has the potential for costly mistakes.  But delaying embracing technology until we fully understand it can come with serious opportunity costs.  Adopt too early, and we risk getting it wrong, too late and we ‘miss the bus’.  How many people who invested in crypto currency or NFT’s really understood what they were doing?  And how many of those have lost on those deals, often to the benefit of those with deeper knowledge?  That isn’t to in anyway suggest that those who are knowledgeable in those fields deliberately exploit those who aren’t, but markets tend to reward those who know, and punish those who don’t.    

The AI Oracle:  The recent rise of Generative AI has many people treating it essentially as an oracle.  We ask it a question, and it ‘magically’ spits out an answer in a very convincing and sharable format.  Few of us understand the basics of how it does this, let alone the details or limitations. We may not call it magic, but we often treat it as such.  We really have little choice; as we lack sufficient understanding to apply quality critical thinking to what we are told, so have to take answers on trust.  That would be brilliant if AI was foolproof.  But while it is certainly right a lot of the time, it does make mistakes, often quite embarrassing ones. . For example, Google’s BARD incorrectly claimed the James Webb Space Telescope had taken the first photo of a planet outside our solar system, which led to panic selling of parent company Alphabet’s stock.  Generative AI is a superb innovation, but its current iterations are far from perfect.  They are limited by the data bases they are fed on, are extremely poor at spotting their own mistakes, can be manipulated by the choice of data sets they are trained on, and they lack the underlying framework of understanding that is essential for critical thinking or for making analogical connections.  I’m sure that we’ll eventually solve these issues, either with iterations of current tech, or via integration of new technology platforms.  But until we do, we have a brilliant, but still flawed tool.  It’s mostly right, is perfect for quickly answering a lot of questions, but its biggest vulnerability is that most users have pretty limited capability to understand when it’s wrong.

Technology Blind Spots: That of course is the Achilles Heel, or blind spot and a dilemma. If an answer is wrong, and we act on it without realizing, it’s potentially trouble. But if we know the answer, we didn’t really need to ask the AI. Of course, it’s more nuanced than that.  Just getting the right answer is not always enough, as the causal understanding that we pick up by solving a problem ourselves can also be important.  It helps us to spot obvious errors, but also helps to generate memory, experience, problem solving skills, buy-in, and belief in an idea.  Procedural and associative memory is encoded differently to answers, and mechanistic understanding helps us to reapply insights and make analogies. 

Need for Causal Understanding.  Belief and buy-in can be particularly important. Different people respond to a lack of ‘internal’ understanding in different ways.  Some shy away from the unknown and avoid or oppose what they don’t understand. Others embrace it, and trust the experts.  There’s really no right or wrong in this.  Science is a mixture of both approaches it stands on the shoulders of giants, but advances based on challenging existing theories.  Good scientists are both data driven and skeptical.  But in some cases skepticism based on lack of causal understanding can be a huge barrier to adoption. It has contributed to many of the debates we see today around technology adoption, including genetically engineered foods, efficacy of certain pharmaceuticals, environmental contaminants, nutrition, vaccinations, and during Covid, RNA vaccines and even masks.  Even extremely smart people can make poor decisions because of a lack of causal understanding.  In 2003, Steve Jobs was advised by his physicians to undergo immediately surgery for a rare form of pancreatic cancer.  Instead he delayed the procedure for nine months and attempted to treat himself with alternative medicine, a decision that very likely cut his life tragically short.

What Should We Do?  We need to embrace new tools and opportunities, but we need to do so with our eyes open.   Loss aversion, and the fear of losing out is a very powerful motivator of human behavior, and so an important driver in the adoption of new technology.  But it can be costly. A lot of people lost out with crypto and NFT’s because they had a fairly concrete idea of what they could miss out on if they didn’t engage, but a much less defined idea of the risk, because they didn’t deeply understand the system. Ironically, in this case, our loss aversion bias caused a significant number of people to lose out!

Similarly with AI, a lot of people are embracing it enthusiastically, in part because they are afraid of being left behind.  That is probably right, but it’s important to balance this enthusiasm with an understanding of its potential limitations.  We may not need to know how to build a car, but it really helps to know how to steer and when to apply the brakes .   Knowing how to ask an AI questions, and when to double check answers are both going to be critical skills.  For big decisions, ‘second opinions’ are going to become extremely important.   And the human ability to interpret answers through a filter of nuance, critical thinking, different perspectives, analogy and appropriate skepticism is going to be a critical element in fully leveraging AI technology, at least for now. 

Today AI is still a tool, not an oracle. It augments our intelligence, but for complex, important or nuanced decisions or information retrieval, I’d be wary of sitting back and letting it replace us.  Its ability to process data in quantity is certainly superior to any human, but we still need humans to interpret, challenge and integrate information.  The winners of this iteration of AI technology will be those who become highly skilled at walking that line, and who are good at managing the trade off between speed and accuracy using AI as a tool.  The good news is that we are naturally good at this, it’s a critical function of the human brain, embodied in the way it balances Kahneman’s System 1 and System 2 thinking. Future iterations may not need us, but for now AI is a powerful partner and tool, but not a replacement

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.

Unintended Consequences.  The Hidden Risk of Fast-Paced Innovation

Unintended Consequences.  The Hidden Risk of Fast-Paced Innovation

GUEST POST from Pete Foley

Most innovations go through a similar cycle, often represented as an s-curve.

We start with something potentially game changing. It’s inevitably a rough-cut diamond; un-optimized and not fully understood.  But we then optimize it. This usually starts with a fairly steep leaning curve as we address ‘low hanging fruit’ but then evolves into a fine-tuning stage.  Eventually we squeeze efficiency from it to the point where the incremental cost of improving it becomes inefficient.  We then either commoditize it, or jump to another s-curve.

This is certainly not a new model, and there are multiple variations on the theme.  But as the pace of innovation accelerates, something fundamentally new is happening with this s-curve pattern.  S-curves are getting closer together. Increasingly we are jumping to new s-curves before we’ve fully optimized the previous one.  This means that we are innovating quickly, but also that we are often taking more ‘leaps into the dark’ than ever before.

This has some unintended consequences of its own:

1. Cumulative Unanticipated Consequences. No matter how much we try to anticipate how a new technology will fare in the real world, there are always surprises.  Many surprises emerge soon after we hit the market, and create fires than have to be put out quite quickly (and literally in the cases of some battery technologies).  But other unanticipated effects can be slower burn (pun intended).  The most pertinent example of this is of course greenhouse gasses from Industrialization, and their impact on our climate. This of course took us years to recognize. But there are many more examples, including the rise of antibiotic resistance, plastic pollution, hidden carcinogens, the rising cost of healthcare and the mental health issues associated with social media. Just as the killer application for a new innovation is often missed at its inception, it’s killer flaws can be too.  And if the causal relationship between these issues and the innovation are indirect, they can accumulate across multiple s-curves before we notice them.  By the time we do, technology is often so entrenched it can be a huge challenge to extract ourselves from it.

2.  Poorly understood complex network effects.  The impact of new innovation is very hard to predict when it is introduced into a complex, multivariable system.  A butterfly flapping its wings can cascade and amplify through a system, and when the butterfly is transformative technology, the effect can be profound.  We usually have line of sight of first generation causal effects:  For example, we know that electric cars use an existing electric grid, as do solar energy farms.  But in today’s complex, interconnected world, it’s difficult to predict second, third or fourth generation network effects, and likely not cost effective or efficient for an innovator to try and do so. For example, the supply-demand interdependency of solar and electric cars is a second-generation network effect that we are aware of, but that is already challenging to fully predict.  More causally distant effects can be even more challenging. For example, funding for the road network without gas tax, the interdependency of gas and electric cost and supply as we transition, the impact that will have on broader on global energy costs and socio political stability.  Then add in complexities supply of new raw materials needed to support the new battery technologies.  These are pretty challenging to model, and of course, are the challenges we are at least aware of. The unanticipated consequences of such a major change are, by definition, unanticipated!

3. Fragile Foundations.  In many cases, one s-curve forms the foundation of the next.  So if we have not optimized the previous s-curve sufficiently, flaws potentially carry over into the next, often in the form of ‘givens’.  For example, an electric car is a classic s-curve jump from internal combustion engines.  But for reasons that include design efficiency, compatibility with existing infrastructure, and perhaps most importantly, consumer cognitive comfort, much of the supporting design and technology carries over from previous designs. We have redesigned the engine, but have only evolved wheels, breaks, etc., and have kept legacies such as 4+ seats.  But automotives are in many, one of our more stable foundations. We have had a lot of time to stabilize past s-curves before jumping to new ones.  But newer technologies such as AI, social media and quantum computing have enjoyed far less time to stabilize foundational s-curves before we dance across to embrace closely spaced new ones.  That will likely increase the chances of unintended consequences. And we are already seeing the canary in the coal mine with some, with unexpected mental health and social instability increasingly associated with social media

What’s the Answer?  We cannot, or should not stop innovating.  We face too many fundamental issues with climate, food security and socio political stability that need solutions, and need them quite quickly.

But the conundrum we face is that many, if not all of these issue are rooted in past, well intentioned innovation, and the unintended consequences that derive from it. So a lot of our innovation efforts are focused on solving issues created by previous rounds of innovation.  Nobody expected or intended the industrial revolution to impact our climate, but now much of our current innovation capability is rightly focused on managing the fall out it has created (again, pun intended).  Our challenge is that we need to continue to innovate, but also to break the cycle of todays innovation being increasingly focused on fixing yesterdays!

Today new waves of innovation associated with ‘sustainable’ technology, genetic manipulation, AI and quantum computing are already crashing onto our shores. These interdependent innovations will likely dwarf the industrial revolution in scale and complexity, and have the potential for massive impact, both good and bad. And they are occurring at a pace that gives us little time to deal with anticipated consequences, let alone unanticipated ones.

We’ll Find a Way?  One answer is to just let it happen, and fix things as we go. Innovation has always been a bumpy road, and humanity has a long history of muddling through. The agricultural revolution ultimately allowed humans to exponentially expand our population, but only after concentrating people into larger social groups that caused disease to ravage many societies. We largely solved that by dying in large numbers and creating herd immunity. It was a solution, but not an optimum one.  When London was in danger of being buried in horse poop, the internal combustion engine saved us, but that in turn ultimately resulted in climate change. According to projections from the Club of Rome in the 70’s, economic growth should have ground to a halt long ago, mired in starvation and population contraction.  Instead advances in farming technology have allowed us to keep growing.  But that increase in population contributes substantially to our issues with climate today.  ‘We’ll find a way’ is an approach that works until it doesn’t.  and even when it works, it is usually not painless, and often simply defers rather than solves issues.

Anticipation?    Another option is that we have to get better at both anticipating issues, and at triaging the unexpected. Maybe AI will give us the processing power to do this, provided of course that it doesn’t become our biggest issue in of itself.

Slow Down and Be More Selective?  In a previous article I asked if ‘just because we can do it, does it mean we should?’.  That was through a primarily moral lens.  But I think unintended consequences make this an even bigger question for broader innovation strategy.  The more we innovate, the more consequences we likely create.  And the faster we innovate, the more vulnerable we are to fragility. Slowing down creates resilience, speed reduces it.  So one option is to be more choiceful about innovations, and look more critically at benefit risk balance. For example, how badly do we need some of the new medications and vaccines being rushed to market?  Is all of our gene manipulation research needed? Do we really need a new phone every two years?   For sure, in some cases the benefits are clear, but in other cases, is profit driving us more than it should?

In a similar vein, but to be provocative, are we also moving too quickly with renewable energy?  It certainly something we need.  But are we, for example, pinning too much on a single, almost first generation form of large scale solar technology?  We are still at that steep part of the learning curve, so are quite likely missing unintended consequences.  Would a more staged transition over a decade or so add more resilience, allow us to optimize the technology based on real world experience, and help us ferret out unanticipated issues? Should we be creating a more balanced portfolio, and leaning more on more established technology such as nuclear? Sometimes moving a bit more slowly ultimately gets you there faster, and a long-term issue like climate is a prime candidate for balancing speed, optimization and resilience to ultimately create a more efficient, robust and better understood network.

The speed of AI development is another obvious question, but I suspect more difficult to evaluate.  In this case, Pandora’s box is open, and calls to slow AI research would likely mean responsible players would stop, but research would continue elsewhere, either underground or in less responsible nations.  A North Korean AI that is superior to anyone else’s is an example where the risk of not moving likely outweighs the risk of unintended consequences

Regulation?  Regulation is a good way of forcing more thoughtful evaluation of benefit versus risk. But it only works if regulators (government) understand technology, or at least its benefits versus risks, better than its developers.  This can work reasonably well in pharma, where we have a long track record. But it is much more challenging in newer areas of technology. AI is a prime example where this is almost certainly not the case.  And as the complexity of all innovation increases, regulation will become less effective, and increasingly likely to create unintended consequences of its own.

I realize that this may all sound a bit alarmist, and certainly any call to slow down renewable energy conversion or pharma development is going to be unpopular.  But history has shown that slowing down creates resilience, while speeding up creates instability and waves of growth and collapse.  And an arms race where much of our current innovative capability is focused on fixing issues created by previous innovations is one we always risk losing.  So as unanticipated consequences are by definition, really difficult to anticipate, is this a point in time where we in the innovation community need to have a discussion on slowing down and being more selective?  Where should we innovate and where not?  When should we move fast, and when we might be better served by some productive procrastination.  Do we need better risk assessment processes? It’s always easier to do this kind of analysis in hindsight, but do we really have that luxury?

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.






Sustaining Imagination is Hard

by Braden Kelley

Recently I stumbled across a new Royal Institute video of Martin Reeves, a managing director and senior partner in BCG’s San Francisco office. Martin leads the BCG Henderson Institute, BCG’s vehicle for exploring ideas from beyond the world of business, which have implications for business strategy management.

I previously interviewed Martin along with his co-author Dr. Jack Fuller in a post titled ‘Building an Imagination Machine‘. In this video you’ll find him presenting content along similar themes. I think you’ll enjoy it:

Bonus points to anyone who can name this napkin sketch in the comments.

In the video Martin explores several of the frameworks introduced in his book The Imagination Machine. One of the central tenets of Martin’s video is the fact that sustaining imagination is hard. There are three core reasons why this is so:

  1. Overspecialization – As companies grow, jobs become increasingly smaller in scope and greater in specialization, leading to myopia as fewer and fewer people see the problems that the company started to solve in the first place
  2. Insularity – As companies grow, the majority of employees shift from being externally facing to being internally facing, isolating more and more employees from the customer and their evolving wants and needs
  3. Complacency – As companies become successful, predictably, the successful parts of the business receive most of the attention and investment, making it difficult for new efforts to receive the care and feeding necessary for them to grow and dare I say – replace – the currently idolized parts of the business

I do like the notion Martin presents that companies wishing to be continuously successful, continuously seek to be surprised and invest energy in rethinking, exploring and probing in areas where they find themselves surprised.

Martin also explores some of the common misconceptions about imagination, including the ideas that imagination is:

  1. A solitary endeavor
  2. It comes out of nowhere
  3. Unmanageable

And finally, Martin puts forward his ideas on how imagination can be harnessed systematically, using a simple six-step model:

  1. Seduction – Where can we find surprise?
  2. Idea – Do we embrace the messiness of the napkin sketch? Or expect perfection?
  3. Collision – Where can we collide this idea with the real world for validation or more surprise?
  4. Epidemic – How can we foster collective imagination? What behaviors are we encouraging?
  5. New Ordinary – How can we create new norms? What evolvable scripts can we create that live inbetween the 500-page manual and the one-sentence vision?
  6. Encore – How can we sustain imagination? How can we maintain a Day One mentality?

And no speech in 2023 would be complete without some analysis of what role artificial intelligence (AI) has to play. Martin’s perspective is that when it comes to the different levels of cognition, AI might be good at finding patterns of correlation, but humans have more advanced capabilities than machines when it comes to finding causation and counterfactual opportunities. There is an opportunity for all of us to think about how we can leverage AI across the six steps in the model above to accelerate or enhance our human efforts.

To close, Martin highlighted that when it comes to leading re-imagination, it is important to look outward, to self-disrupt, to establish heroic goals, utilize multiple mental models, and foster playfulness and experimentation across the organization to help keep imagination alive.

p.s. If you’re committed to learning the art and science of getting to the future first, then be sure and subscribe to my newsletter to make sure you’re one of the first to get certified in the FutureHacking™ methodology.

Image credits: Netflix

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.






Unlocking the Power of Imagination

How Humans and AI Can Collaborate for Innovation and Creativity

Unlocking the Power of Imagination

GUEST POST from Teresa Spangler

Imagination is not only the uniquely human capacity to envision that which is not, and, therefore, the foundation of all invention and innovation. In its arguably most transformative and revelatory capacity, it is the power that enables us to empathize with humans whose experiences we have never shared. ~J.K. Rowling

Part I of a 3 Part Series: Simple Strategies

Imagination has always been crucial in human innovation, creativity, and problem-solving. It enables us to envision possibilities beyond the present and find solutions to problems that do not exist yet. 

However, with Artificial Intelligence (AI) advancements, humans must develop their imaginative skills to stay competitive. To achieve that, it is important to understand the eight subsections of imagination – Effectuative, Intellectual or Constructive, Imaginative Fantasy, Empathy, Strategic, Emotional, Dreams, and Memory Reconstruction. Each of these subsections plays a crucial role in the human imagination, and as AI becomes more sophisticated, it will challenge humans to improve their imaginative abilities in each of these areas.

Understanding the Eight Subsections of Imagination

Effectuative Imagination: Effectuative imagination is the ability to imagine the consequences of one’s actions. It enables individuals to plan, make decisions, and predict outcomes. For example, a CEO may use effectuative imagination to anticipate the impact of a new product launch on the company’s financials.

To improve effectuative imagination, humans can:

  • Think about potential consequences before making decisions
  • Analyze data and use it to predict possible outcomes
  • Consider alternative scenarios before deciding on a course of action

Intellectual or Constructive Imagination: Intellectual or constructive imagination is the ability to imagine abstract concepts and ideas. It allows individuals to envision new inventions, theories, and ways of thinking. For example, a scientist may use constructive imagination to develop a new theory that explains a complex natural phenomenon.

To improve intellectual or constructive imagination, humans can:

  • Challenge assumptions and think outside the box
  • Experiment with new ideas and concepts
  • Combine existing ideas and concepts to create new ones

Imaginative Fantasy:  Imaginative fantasy is the ability to create and imagine fantastical worlds and stories. It enables individuals to escape from reality and explore the limits of their imaginations. For example, a writer may use imaginative fantasy to create a new universe for their story.

To improve imaginative fantasy, humans can:

  • Engage in creative activities such as writing, drawing, or painting
  • Read books or watch movies that take them to new worlds
  • Use their imagination to create new stories or scenarios

Empathy:  Empathy is the ability to imagine and understand the emotions and experiences of others. It enables individuals to connect with others more deeply and be more compassionate. For example, a therapist may use empathy to understand their client’s emotions and experiences.

To improve empathy, humans can:

  • Practice active listening and ask questions to understand others better
  • Imagine themselves in other people’s shoes
  • Practice kindness and compassion towards others

 Strategic Imagination:  Strategic imagination is the ability to imagine and plan for the future. It enables individuals to anticipate potential challenges and opportunities and to develop effective strategies. For example, a business leader may use strategic imagination to create a long-term growth plan for their company.

To improve strategic imagination, humans can:

  • Develop a long-term vision for their personal or professional life
  • Identify potential challenges and opportunities and develop strategies to address them
  • Use data and analysis to inform their decisions

Emotional Imagination:  Emotional imagination is the ability to imagine and experience a wide range of emotions. It enables individuals to empathize with others and connect with their emotions. For example, an actor may use emotional imagination to convincingly portray a character’s emotions.

To improve emotional imagination, humans can:

  • Practice mindfulness and self-awareness to understand their own emotions better
  • Engage in creative activities such as writing or acting to explore different emotions
  • Practice empathy to understand other people’s emotions better

Dreams:  Dreams are a manifestation of our subconscious mind and imagination. They enable us to explore our deepest desires, fears, and aspirations. Dreams are also a way for our brains to process and consolidate memories. For example, a person may have a dream about an experience that helps them understand and process their emotions.

To improve dreams and imagination, humans can:

  • Keep a dream journal to record and reflect on their dreams
  • Practice lucid dreaming to control and direct their dreams
  • Engage in creative activities such as writing or drawing to explore dream worlds and scenarios

Memory Reconstruction:  Memory reconstruction is remembering past events and experiences and using our imagination to fill in gaps and create a coherent narrative. It enables individuals to sense their past and create a personal identity. For example, a person may reconstruct childhood memories to understand how past experiences have shaped who they are today.

To improve memory reconstruction and imagination, humans can:

  • Reflect on past experiences and try to understand how they have influenced their life
  • Engage in creative activities such as writing or drawing to explore memories and create new narratives
  • Practice mindfulness to become more aware of their thoughts and feelings

How AI May Challenge Us to Become More Imaginative

As AI becomes more sophisticated, it will challenge humans to improve their imaginative abilities in each of the eight subsections of imagination. Working alongside AI can spark us to new levels of thinking. Consider AI as your partner in growing your own imagination, your creativity and your abilities to be more inventive.

Examples:

  • Effectuative Imagination: AI can analyze data and provide insights humans can use to make better decisions.
  • Intellectual or Constructive Imagination: AI can identify patterns and connections between data sets that humans may not have noticed, leading to new ideas and theories.
  • Imaginative Fantasy: AI can generate creative ideas and scenarios that humans may not have thought of independently. However, imaginative people can raise the bar on creativity by using these AI-generated fantasies.
  • Empathy: AI can analyze social media data and sentiment analysis to understand how people are feeling and to predict future trends.
  • Strategic Imagination: AI can analyze market data and economic indicators to identify potential challenges and opportunities for businesses and organizations.
  • Emotional Imagination: AI can analyze facial expressions and tone of voice to understand people’s emotions and to provide personalized recommendations and support.
  • Dreams: AI can use generative models to create realistic dream scenarios and to help individuals explore and process their subconscious thoughts and emotions.
  • Memory Reconstruction: AI can analyze large data sets and identify patterns and connections humans may not have noticed, leading to new insights and narratives.

Working Alongside AI to Unlock Human Imagination

AI is not a threat to human imagination but rather a tool that can help us unlock our full imaginative potential. By collaborating with AI, humans can gain new insights and perspectives that inform their imaginative processes. Here are some strategies for working alongside AI to unlock human imagination:

  • Use AI-powered tools to analyze data and identify patterns and connections that can inform imaginative processes.
  • Collaborate with AI-powered systems to generate new ideas and scenarios.
  • Use virtual and augmented reality tools to explore new environments and possibilities.
  • Leverage AI-powered chatbots and virtual assistants to provide personalized support and recommendations.
  • Participate in cross-functional teams that include both humans and AI-powered systems.

How Companies Can Support Employee Imagination

Companies have a critical role in supporting their employees’ imaginative skills. By doing so employees will be come more engaged and productive.  Here are a few strategies that companies can use to support employee imagination:

  • Encourage creativity by providing opportunities for employees to explore new ideas and experiment with new approaches.
  • Foster diversity and inclusion by promoting diverse perspectives and experiences and creating a safe and inclusive work environment.
  • Invest in technology and tools that support imaginative work, such as AI-powered systems, virtual and augmented reality tools, and collaborative platforms.
  • Provide learning and development opportunities focusing on imaginative skills, such as creativity, emotional intelligence, and strategic thinking.
  • Encourage collaboration by creating cross-functional teams and promoting a culture of collaboration.

Imagination is essential for the future of innovation and human productivity. The eight subsections of imagination provide a framework for understanding and developing imaginative abilities. As AI becomes more sophisticated, it will challenge humans to improve their imaginative skills in each of these areas. Humans can unlock new ideas and solutions that drive innovation and progress by developing imaginative skills and working alongside AI.

Moreover, individuals can develop their imaginative skills by embracing change, fostering curiosity, developing a growth mindset, practicing mindfulness, collaborating with AI, exploring new forms of art and creativity, practicing divergent thinking, and fostering the eight subsections of imagination.

Companies have a crucial role in supporting their employees’ imaginative skills. They can encourage creativity, foster diversity and inclusion, invest in technology and tools supporting imaginative work, provide learning and development opportunities focusing on imaginative skills, and encourage collaboration.

In the age of AI, humans must strive to maintain their unique skills and abilities. Imagination is a human trait that AI cannot replicate. Developing our imaginative skills and working alongside AI can unlock new opportunities and create a better future for ourselves and the world.

Image credit: Pixabay

Subscribe to Human-Centered Change & Innovation WeeklySign up here to join 17,000+ leaders getting Human-Centered Change & Innovation Weekly delivered to their inbox every week.