Category Archives: Change

Five Steps to Digital Transformation Success

Five Steps to Digital Transformation Success

GUEST POST from Art Inteligencia

Digital transformation is increasingly becoming an integral part of businesses in the modern age, as companies seek to leverage technology to gain a competitive edge. But, while the potential benefits of digital transformation are tantalizing, it’s not always easy to make the transition. To ensure a successful digital transformation, here are five key steps you should consider.

1. Understand Your Goals

Before you begin your digital transformation, it’s important to understand your goals. What do you want to achieve with your digital transformation? Do you want to improve customer service, create a more efficient process for managing data, or something else entirely? Being clear on your goals will help you to focus your efforts and ensure you’re making the most of your digital transformation.

2. Develop a Strategy

Once you’ve established your goals, you’ll need to develop a strategy for achieving them. What technologies and processes will you need to implement? What resources and personnel will you need to make it happen? Having a clear strategy will help to ensure success, as you’ll have a roadmap for getting from A to B.

3. Focus on the Customer Experience

Digital transformation should always be focused on the customer experience. How will the changes you’re making improve the customer experience? Will they make it easier to purchase products or services? Will they make it faster to access customer service? By focusing on the customer experience, you can ensure your digital transformation is successful.

4. Invest in Technology and Resources

Digital transformation is an investment, and you’ll need to invest in the right technologies and resources to make it successful. This could include investing in new software, hardware, personnel, and training. While these investments may be costly, they’re necessary in order to ensure the success of your digital transformation.

5. Plan for Change

Finally, it’s important to plan for change. Digital transformation can be disruptive to your business, so it’s important to plan for the changes and prepare your team for the transition. This could involve training staff on new technologies, creating a communication plan to keep everyone in the loop, and establishing processes for dealing with any issues that may arise.

Digital transformation can be a daunting process, but it can also be incredibly rewarding. By following these five key steps, you can ensure your digital transformation is successful and that your business can reap the rewards.

Image credit: Pixabay

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Nominations Closed for the Top 40 Innovation Bloggers of 2022

Nominations Closed for the Top 40 Innovation Bloggers of 2022Human-Centered Change and Innovation loves making innovation insights accessible for the greater good, because we truly believe that the better our organizations get at delivering value to their stakeholders the less waste of natural resources and human resources there will be.

As a result, we are eternally grateful to all of you out there who take the time to create and share great innovation articles, presentations, white papers, and videos with Braden Kelley and the Human-Centered Change and Innovation team. As a small thank you to those of you who follow along, we like to make a list of the Top 40 Innovation Bloggers available each year!

Nominations are now closed.

Our lists from the ten previous years have been tremendously popular, including:

Top 40 Innovation Bloggers of 2015
Top 40 Innovation Bloggers of 2016
Top 40 Innovation Bloggers of 2017
Top 40 Innovation Bloggers of 2018
Top 40 Innovation Bloggers of 2019
Top 40 Innovation Bloggers of 2020
Top 40 Innovation Bloggers of 2021

Do you just have someone that you like to read that writes about innovation, or some of the important adjacencies – trends, consumer psychology, change, leadership, strategy, behavioral economics, collaboration, or design thinking?

Human-Centered Change and Innovation is now looking for the Top 40 Innovation Bloggers of 2022.

The deadline for submitting nominations is December 24, 2022 at midnight GMT.

Nominations are now closed, but people were able to submit a nomination in either of these two ways:

  1. Sending us the name of the blogger and the url of their blog by @reply on twitter to @innovate
  2. Sending the name of the blogger and the url of their blog and your e-mail address using our contact form

(Note: HUGE bonus points for being a contributing author)

So, think about who you like to read and let us know by midnight GMT on December 24, 2022.

We will then compile a voting list of all the nominations, and publish it on December 25, 2022.

Voting will then be open from December 25, 2022 – January 1, 2023 via comments and twitter @replies to @innovate.

The ranking will be done by me with influence from votes and nominations. The quality and quantity of contributions by an author to this web site will be a contributing factor.

Contact me with writing samples if you’d like to publish your articles on our platform!

The official Top 40 Innovation Bloggers of 2022 will then be announced on here in early January 2023.

We’re curious to see who you think is worth reading!

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Forbidden Truth About Innovation

Forbidden Truth About Innovation

GUEST POST from Robyn Bolton

If you heard it once, you heard it a thousand times:

  • Big companies can’t innovate
  • We need to innovate before we get too big and slow
  • Startups are innovative. Big companies are dinosaurs. They can’t innovate.

And yet you persevere because you know the truth:

Big companies CAN innovate.

They CHOOSE not to.

Using Innovation to drive growth is a choice.

Just like choosing to grow through acquisition or expansion into new markets is a choice.

All those choices are complex, uncertain, and risky. In fact:

Hold on. The odds of failure are the same!

All three growth drivers have similar failure rates, but no one says, “Big companies can’t acquire things” or “Big companies can’t expand into new markets.”

We expect big companies to engage in acquisitions and market expansion.

Failed acquisitions and market expansions prove us (or at least our expectations) wrong. Because we don’t like being wrong, we study our failures so that we can change, improve, and increase our odds of success next time.

We expect big companies to fail at innovation.

In this case, failure proves us right. We love being right, so we shrug and say, “Big companies can’t innovate.”

We let big companies off the hook.

Why are our expectations so different?

Since the dawn of commerce, businesses engaged in innovation, acquisitions, and market expansion. But innovation is different from M&A and market expansion in three fundamental ways:

  1. Innovation is “new” – Even though businesses have engaged in innovation, acquisitions, and market expansion since the very earliest days of commerce, innovation only recently became a topic worthy of discussion, study, and investment. In fact, it wasn’t until the 1960s that Innovation was recognized as worthy of research and deliberate investment.
  2. Innovation starts small – Unlike acquisitions and new markets that can be easily sized and forecasted, in the early days of an innovation, it’s hard to know how big it could be.
  3. Innovation takes time – Innovation doesn’t come with a predictable launch date. Even its possible launch date is usually 3 to 5 years away, unlike acquisition closing dates that are often within a year.

What can we do about this?

We can’t change what innovation is (new, small, and slow at the start), but we can change our expectations.

  • Finish the sentence – “Big companies can’t innovate” absolves companies of the responsibility to make a good-faith effort to try to innovate by making their struggles an unavoidable consequence of their size. But it’s not inevitable, and continuing the sentence proves it. Saying “Big companies can’t innovate because…”  forces people to acknowledge the root causes of companies’ innovation struggles. In many ways, this was the great A-HA! of The Innovator’s Dilemma: Big companies can’t innovate because their focus on providing better (and more expensive) solutions to their best customers results in them ceding the low-end of the market and non-consumers to other companies.
  • Be honest – Once you’ve identified the root cause, you can choose to do something different (and get different results) or do everything the same (and get the same results). If you choose to keep doing the same things in the same ways, that’s fine. Own the decision.
  • Change your choice. Change your expectations – If you do choose to do things differently, address the root causes, and resolve the barriers, then walk the talk. Stop expecting innovation to fail and start expecting it to be as successful as your acquisition and market expansion efforts. Stop investing two people and $10 in innovation and start investing the same quantity and quality of resources as you invest and other growth efforts.
  • The first step in change is admitting that change is needed. When we accept that “big companies can’t innovate” simply because they’re big, we absolve them of their responsibility to follow through on proclamations and strategies about the importance of innovation as a strategic driver of growth.

It’s time to acknowledge that innovation (or lack thereof) is a choice and expect companies to own that choice and act and invest accordingly.

After all, would it be great to stop persevering and start innovating?

Image credit: Pixabay

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4 Key Aspects of Robots Taking Our Jobs

4 Key Aspects of Robots Taking Our Jobs

GUEST POST from Greg Satell

A 2019 study by the Brookings Institution found that over 61% of jobs will be affected by automation. That comes on the heels of a 2017 report from the McKinsey Global Institute that found that 51% of total working hours and $2.7 trillion dollars in wages are highly susceptible to automation and a 2013 Oxford study that found 47% of jobs will be replaced.

The future looks pretty grim indeed until you start looking at jobs that have already been automated. Fly-by-wire was introduced in 1968, but today we’re facing a massive pilot shortage. The number of bank tellers has doubled since ATMs were introduced. Overall, the US is facing a massive labor shortage.

In fact, although the workforce has doubled since 1970, labor participation rates have risen by more than 10% since then. Everywhere you look, as automation increases, so does the demand for skilled humans. So the challenge ahead isn’t so much finding work for humans, but to prepare humans to do the types of work that will be in demand in the years to come.

1. Automation Doesn’t Replace Jobs, It Replaces Tasks

To understand the disconnect between all the studies that seem to be predicting the elimination of jobs and the increasingly dire labor shortage, it helps to look a little deeper at what those studies are actually measuring. The truth is that they don’t actually look at the rate of jobs being created or lost, but tasks that are being automated. That’s something very different.

To understand why, consider the legal industry, which is rapidly being automated. Basic activities like legal discovery are now largely done by algorithms. Services like LegalZoom automate basic filings. There are even artificial intelligence systems that can predict the outcome of a court case better than a human can.

So, it shouldn’t be surprising that many experts predict gloomy days ahead for lawyers. Yet the number of lawyers in the US has increased by 15% since 2008 and it’s not hard to see why. People don’t hire lawyers for their ability to hire cheap associates to do discovery, file basic documents or even, for the most part, to go to trial. In large part, they want someone they can trust to advise them.

In a similar way we don’t expect bank tellers to process transactions anymore, but to help us with things that we can’t do at an ATM. As the retail sector becomes more automated, demand for e-commerce workers is booming. Go to a highly automated Apple Store and you’ll find far more workers than at a traditional store, but we expect them to do more than just ring us up.

2. When Tasks Become Automated, The Become Commoditized

Let’s think back to what a traditional bank looked like before ATMs or the Internet. In a typical branch, you would see a long row of tellers there to process deposits and withdrawals. Often, especially on Fridays when workers typically got paid, you would expect to see long lines of people waiting to be served.

In those days, tellers needed to process transactions quickly or the people waiting in line would get annoyed. Good service was fast service. If a bank had slow tellers, people would leave and go to one where the lines moved faster. So training tellers to process transactions efficiently was a key competitive trait.

Today, however, nobody waits in line at the bank because processing transactions is highly automated. Our paychecks are usually sent electronically. We can pay bills online and get cash from an ATM. What’s more, these aren’t considered competitive traits, but commodity services. We expect them as a basic requisite of doing business.

In the same way, we don’t expect real estate agents to find us a house or travel agents to book us a flight or find us a hotel room. These are things that we used to happily pay for, but today we expect something more.

3. When Things Become Commodities, Value Shifts Elsewhere

In 1900, 30 million people in the United States were farmers, but by 1990 that number had fallen to under 3 million even as the population more than tripled. So, in a manner of speaking, 90% of American agriculture workers lost their jobs, mostly due to automation. Still, the twentieth century became an era of unprecedented prosperity.

We’re in the midst of a similar transformation today. Just as our ancestors toiled in the fields, many of us today spend much of our time doing rote, routine tasks. However, as two economists from MIT explain in a paper, the jobs of the future are not white collar or blue collar, but those focused on non-routine tasks, especially those that involve other humans.

Consider the case of bookstores. Clearly, by automating the book buying process, Amazon disrupted superstore book retailers like Barnes & Noble and Borders. Borders filed for bankruptcy in 2011 and was liquidated later that same year. Barnes & Noble managed to survive but has been declining for years.

Yet a study at Harvard Business School found that small independent bookstores are thriving by adding value elsewhere, such as providing community events, curating titles and offering personal recommendations to customers. These are things that are hard to do well at a big box retailer and virtually impossible to do online.

4. Value Is Shifting from Cognitive Skills to Social Skills

20 or 30 years ago, the world was very different. High value work generally involved retaining information and manipulating numbers. Perhaps not surprisingly, education and corporate training programs were focused on teaching those skills and people would build their careers on performing well on knowledge and quantitative tasks.

Today, however, an average teenager has more access to information and computing power than a typical large enterprise had a generation ago, so knowledge retention and quantitative ability have largely been automated and devalued. High value work has shifted from cognitive skills to social skills.

Consider that the journal Nature has found that the average scientific paper today has four times as many authors as one did in 1950, and the work they are doing is far more interdisciplinary and done at greater distances than in the past. So even in highly technical areas, the ability to communicate and collaborate effectively is becoming an important skill.

There are some things that a machine will never do. Machines will never strike out at a Little League game, have their hearts broken or see their children born. That makes it difficult, if not impossible, for machines to relate to humans as well as a human can. The future of work is humans collaborating with other humans to design work for machines.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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Charting Change for a Successful 2023

Charting Change for a Successful 2023

Wow! Exciting news!

From now until December 31, 2022 you can get a 50% discount on my latest best-selling book Charting Change – plus FREE shipping!

OR you can also save on the eBook!

You must go to SpringerLink for this Cyber Sale:

  • The offer is valid until December 31, 2022
  • Please use HOL50 at check-out to get your discount on books & eBooks*
  • Free shipping

Click here and enter the code HOL50 before checkout

UPDATE! — SECOND OPTION – You may not get free shipping, but the code PALHC may be another option to try if you are getting the physical book – it’s for 70% off select hardcovers

*This offer is valid for English-language Springer & Apress books and eBooks and is redeemable on link.springer.com only. Titles affected by fixed book price laws, forthcoming titles and titles temporarily not available on link.springer.com are excluded from this promotion, as are reference works, handbooks, yearbooks, encyclopedias, subscriptions, or bulk purchases. The currency in which your order will be invoiced depends on the billing address associated with the payment method used, not necessarily your home currency. Regional VAT/tax may apply. Promotional prices may change due to exchange rates. This offer is valid for individual customers only. Booksellers, book distributors, and institutions such as libraries and corporations please visit springernature.com/contact-us. This promotion does not work in combination with other discounts or gift cards.

Five Key Skills for Chief Transformation Officers

Five Key Skills for Chief Transformation Officers

GUEST POST from Art Inteligencia

As digital transformation continues to become more commonplace in the modern business landscape, the role of the Chief Transformation Officer (CTO) has become increasingly important. A CTO is responsible for leading and managing large-scale, enterprise-wide transformation initiatives that typically involve multiple stakeholders, departments, and processes.

Given the complexity of their role, CTOs must possess a blend of technical and leadership skills in order to be successful. Here are five key skills that every CTO should have:

1. Strategic Thinking

The CTO needs to be able to identify and prioritize potential areas of transformation in order to develop a comprehensive and effective transformation plan. This requires a deep understanding of the organization and its goals, as well as the ability to think strategically and plan ahead.

2. Change Planning, Leadership and Management

The CTO must be able to effectively lead and manage the transformation process, which includes developing and implementing a plan, managing stakeholders, and ensuring that the transformation is successful. This requires a deep understanding of change planning, leadership, and management principles and processes. Ideally, they should be a certified Human-Centered Change professional, skilled at leveraging the Change Planning Toolkit™.

3. Cross-Functional Communication

The CTO must have excellent communication skills in order to effectively communicate the transformation plan and objectives to stakeholders across functional siloes, as well as to ensure that everyone is on the same page throughout the process. The Change Planning Canvas™ is a great tool for getting everyone literally all on the same page for change, and is introduced in Braden Kelley’s best-selling book Charting Change.

4. Technical Expertise

The CTO must possess a strong understanding of the technical and operational aspects of the organization in order to develop effective transformation plans and strategies. This may involve a deep understanding of data, analytics, and enterprise systems.

5. Relationship Building

The CTO needs to be able to build relationships with stakeholders across the organization in order to ensure that everyone is on board with the transformation plan and objectives. This requires the ability to understand different perspectives and build consensus among stakeholders.

These five skills are essential for any CTO to be successful in their role. With the right skillset and a strategic approach, a CTO can lead their organization to success and ensure a successful transformation.

To read more about Chief Transformation Officers, see my other article here:

Image credit: Pexels

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How Transformational Leaders Learn to Conquer Failure

How Transformational Leaders Learn to Conquer Failure

GUEST POST from Greg Satell

When we think of great leaders their great successes usually come to mind. We picture Washington crossing the Delaware or Gandhi leading massive throngs or Steve Jobs standing triumphantly on stage. It is moments of triumph such as these that make indelible marks on history’s consciousness.

While researching my book, Cascades, however, what struck me most is how often successful change movements began with failure. It seems that those later, more triumphant moments can blind us to the struggles that come before. That can give us a mistaken view of what it takes to drive transformational change.

To be clear, these early and sometimes tragic failures are not simply the result of bad luck. Rather they happen because most new leaders are not ready to lead and make novice mistakes. The difference, I have found, between truly transformational leaders and those that fail isn’t so much innate talent or even ambition, but their ability to learn along the way.

A Himalayan Miscalculation

Today, we remember Mohandas Gandhi as the “Mahatma,” an iconic figure, superlatively wise and saintly in demeanor. His greatest triumph, the Salt March, remains an enduring symbol of the power of nonviolent activism, which has inspired generations to work constructively toward positive change in the world.

What many overlook, however, is that ten years before that historic event Gandhi embarked on a similar effort that would fail so tragically he would come to regard it as his Himalayan miscalculation. It was, in fact, what he learned from the earlier failure that helped make the Salt March such a remarkable success.

In 1919, he called for a nationwide series of strikes and boycotts to protest against unjust laws, called the Rowlatt Acts, passed by the British Raj. These protests were successful at first, but soon spun wildly out of control and eventually led to the massacre at Amritsar, in which British soldiers left hundreds dead and more than a thousand wounded.

Most people would have simply concluded that the British were far too cruel and brutal to be dealt with peacefully. Yet Gandhi realized that he had not sufficiently indoctrinated the protestors in his philosophy of Satyagraha. So he spent the next decade creating a dedicated cadre of devoted and disciplined followers.

When the opportunity arose again in 1930 Gandhi would not call for nationwide protests, but set out on the Salt March with 70 or 80 of his closest disciples. Their nonviolent discipline inspired the nation and the world. That’s what led to Gandhi’s ultimate victory, Indian independence, in 1947.

Learning To Overthrow a Dictator

If you looked at Serbia in 1999, you probably wouldn’t have noticed anything amiss. The country was ruled, as it had been for a decade, by Slobodan Milošević, whose power was nearly absolute. There was no meaningful political opposition or even an active protest movement. Milošević, it seemed, would be ruler for life.

Yet just a year later he was voted out of power. When he tried to steal the election, massive protests broke out and, when he lost the support of the military and security services, he was forced to concede. Two years later, he was tried at The Hague for crimes against humanity and found guilty. He would die in his prison cell in 2006.

However, the success of these protests was the product of earlier failures. There were student protests in 1992 that, much like the “Occupy” protests later in the US, quickly dissipated with little to show for the effort. Later the Zajedno (together) opposition coalition had some initial success, but then fell apart into disunity.

In 1998, veterans of both protests met in a coffee shop. They reflected on past failures and were determined not to repeat the same mistakes. Instead of looking for immediate results, they would use what they learned about organizing protests to build a massive networked organization, called Otpor, that would transcend political factions.

They had learned that if they could mobilize the public that they could beat Milošević at the polls and that, just like in 1996, he would deny the results. However, this time they would be prepared. Instead of disorganized protests, the regime faced an organization of 70,000 trained activists who inspired the nation and brought down a dictator.

A Wunderkind’s Fall from Grace

There is probably no business leader in history more iconic than Steve Jobs. We remember him not only for the incredible products he created, but the mastery with which he marketed them. Apple’s product launches became vastly more than mere business events, but almost cultural celebrations of expanding the limits of possibility.

What most people fail to realize about Steve Jobs, however, is how much he changed over the course of his career. Getting fired from Apple, the company he founded, was an excruciatingly traumatic experience. It forced him to come to terms with some of the more destructive parts of his personality.

While the Macintosh is rightfully seen today as a pathbreaking product, most people forget that, initially at least, it wasn’t profitable. After leaving Apple he started NeXT Computer which, although hailed for its design, also flopped. Along the way he bought Pixar, which struggled for years before finally becoming successful.

When Jobs returned to Apple in 1997 he was a very different leader, more open to taking in the ideas of others. Although he became enamored with iMovie, his team convinced him that digital music was a better bet and the iPod became the new Apple’s first big hit. Later, even though he was dead set against allowing outside developers to create software for the iPhone, he eventually relented and created the App store.

Before You Can Change the World, You First Must Change Yourself

We tend to look back at transformational leaders and see greatness in them from the start. The truth is that lots of people have elements of greatness in them, but never amount to much. It is the ability to overcome our tragic flaws that makes the difference between outsized achievement and mediocrity.

When Gandhi began his career as a lawyer he was so shy that he couldn’t speak up in court. Before the founders of Otpor became leaders of a massive movement, they were just kids who wanted to party and listen to rock and roll. Steve Jobs was always talented, was so difficult to deal with even his allies on Apple’s board knew he needed to go.

Most people never overcome their flaws. Instead, they make accommodations with them. It would have been easy for Gandhi to blame the British for his “Himalayan Miscalculation,” just as it would have been easy for the Otpor founders to blame Milošević for their struggles and for Jobs to continue to swing at windmills, but they didn’t. Instead, they found the capacity to change.

We all have our talents, but innate ability will only take you so far. In the final analysis, what makes transformational leaders different is their ability to transform themselves to suit the needs of their mission.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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Nominations Closed – Top 40 Innovation Bloggers of 2022

Nominations Closed for the Top 40 Innovation Bloggers of 2022Human-Centered Change and Innovation loves making innovation insights accessible for the greater good, because we truly believe that the better our organizations get at delivering value to their stakeholders the less waste of natural resources and human resources there will be.

As a result, we are eternally grateful to all of you out there who take the time to create and share great innovation articles, presentations, white papers, and videos with Braden Kelley and the Human-Centered Change and Innovation team. As a small thank you to those of you who follow along, we like to make a list of the Top 40 Innovation Bloggers available each year!

Our lists from the ten previous years have been tremendously popular, including:

Top 40 Innovation Bloggers of 2015
Top 40 Innovation Bloggers of 2016
Top 40 Innovation Bloggers of 2017
Top 40 Innovation Bloggers of 2018
Top 40 Innovation Bloggers of 2019
Top 40 Innovation Bloggers of 2020
Top 40 Innovation Bloggers of 2021

Do you just have someone that you like to read that writes about innovation, or some of the important adjacencies – trends, consumer psychology, change, leadership, strategy, behavioral economics, collaboration, or design thinking?

Human-Centered Change and Innovation is now looking for the Top 40 Innovation Bloggers of 2022.

The deadline for submitting nominations is December 24, 2022 at midnight GMT.

You can submit a nomination either of these two ways:

  1. Sending us the name of the blogger and the url of their blog by @reply on twitter to @innovate
  2. Sending the name of the blogger and the url of their blog and your e-mail address using our contact form

(Note: HUGE bonus points for being a contributing author)

So, think about who you like to read and let us know by midnight GMT on December 24, 2022.

We will then compile a voting list of all the nominations, and publish it on December 25, 2022.

Voting will then be open from December 25, 2022 – January 1, 2023 via comments and twitter @replies to @innovate.

The ranking will be done by me with influence from votes and nominations. The quality and quantity of contributions by an author to this web site will be a contributing factor.

Contact me with writing samples if you’d like to publish your articles on our platform!

The official Top 40 Innovation Bloggers of 2022 will then be announced on here in early January 2023.

We’re curious to see who you think is worth reading!

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

We Must Prepare for Future Crises Like We Prepare for War

We Must Prepare for Future Crises Like We Prepare for War

GUEST POST from Greg Satell

In a 2015 TED talk, Bill Gates warned that “if anything kills ten million people in the next few decades, it’s most likely to be a highly infectious virus rather than a war. Not missiles, but microbes.” He went on to point out that we have invested enormous amounts of money in nuclear deterrents, but relatively little to battle epidemics.

It’s an apt point. In the US, we enthusiastically spend nearly $700 billion on our military, but cut corners on nearly everything else. Major breakthroughs, such as GPS satellites, the Internet and transistors, are merely offshoots of budgets intended to help us fight wars more effectively. At the same time, politicians gleefully propose budget cuts to the NIH.

A crisis, in one sense, is like anything else. It eventually ends and, when it does, we hope to be wiser for it. No one knows how long this epidemic will last or what the impact will be, but one thing is for sure — it will not be our last crisis. We should treat this as a new Sputnik moment and prepare for the next crisis with the same vigor with which we prepare for war.

Getting Artificial Intelligence Under Control

In the Terminator series, an automated defense system called Skynet becomes “self aware” and launches a nuclear attack to end humanity. Machines called “cyborgs” are created to hunt down the survivors that remain. Clearly it is an apocalyptic vision. Not completely out of the realm of possibility, but very unlikely.

The dangers of artificial intelligence, however, are very real, although not nearly so dramatic. Four years ago, in 2016, I published an article in Harvard Business Review outlining the ethical issues we need to address, ranging from long standing thought experiments like the trolley problem to issues surrounding accountability for automated decisions.

Unlike the Terminator scenario, these issues are clear and present. Consider the problem of data bias. Increasingly, algorithms determine what college we attend, if we get hired for a job and even who goes to prison and for how long. Unlike human decisions, these mathematical models are rarely questioned, but affect materially people’s lives.

The truth is that we need our algorithms to be explainable, auditable and transparent. Just because the possibility of our machines turning on us is fairly remote, doesn’t mean we don’t need too address more subtle, but all to real, dangers. We should build our systems to serve humanity, not the other way around.

The Slow-Moving Climate Crisis

Climate change is an issue that seems distant and political. To most people, basic needs like driving to work, heating their homes and doing basic household chores are much more top of mind than the abstract dangers of a warming planet. Yet the perils of climate change are, in fact, very clear and present.

Consider that the National Oceanic and Atmospheric Administration has found that, since 1980, there have been at least 258 weather and climate disasters where overall damages reached or exceeded $1 billion and that the total cost of these events has been more than $1.7 trillion. That’s an enormous amount of money.

Yet it pales in comparison to what we can expect in the future. A 2018 climate assessment published by the US government warned that we can expect climate change to “increasingly affect our trade and economy, including import and export prices and U.S. businesses with overseas operations and supply chains,” and had similar concerns with regard to our health, safety and quality of life.

There have been, of course, some efforts to slow the increase of carbon in our atmosphere that causes climate change such as the Paris Climate Agreement. However, these efforts are merely down payments to stem the crisis and, in any case, few countries are actually meeting their Paris targets. The US pulled out of the accord entirely.

The Debt Time Bomb

The US national debt today stands at about 23.5 trillion dollars or roughly 110% of GDP. That’s a very large, but not catastrophic number. The deficit in 2020 was expected to be roughly $1 trillion, or about four percent of GDP, but with the impact of the Coronavirus, we can expect it to be at least two to three times that now.

Considering that the economy of the United States grows at about two percent a year on average, any deficit above that level is unsustainable. Clearly, we are far beyond that now and, with baby boomers beginning to retire in massive numbers, Medicare spending is set to explode. At some point, these bills will have to be paid.

Yet focusing solely on financial debt misses a big part of the picture. Not only have we been overspending and under-taxing, we’ve also been massively under investing. Consider that the American Society of Civil Engineers has estimated that we need to spend $4.5 trillion to repair our broken infrastructure. Add that infrastructure debt to our financial and environmental debt it likely adds up to $30-$40 trillion, or roughly 150%-200% of GDP.

Much like the dangers of artificial intelligence and the climate crisis, not to mention the other inevitable crises like the new pandemics that are sure to come, we will eventually have to pay our debts. The only question is how long we want to allow the interest to pile up.

The Visceral Abstract

Some years ago, I wrote about a concept I called the visceral abstract. We often fail to realize how obscure concepts affect our daily lives. The strange theories of quantum mechanics, for example, make modern electronics possible. Einstein’s relativity helps calibrate our GPS satellites. Darwin’s natural selection helps us understand diseases like the Coronavirus.

In much the same way, we find it easy to ignore dangers that don’t seem clear and present. Terminator machines hunting us down in the streets is terrifying, but the very real dangers of data bias in our artificial intelligence systems is easy to dismiss. We worry how to pay the mortgage next month, but the other debts mounting fade into the background.

The news isn’t all bad, of course. Clearly, the Internet has made it far easier to cope with social distancing. Technologies such as gene sequencing and supercomputing simulations make it more likely that we will find a cure or a vaccine. We have the capacity for both petty foolishness and extreme brilliance.

The future is not inevitable. It is what we make it. We can choose, as we have in the past, to invest in our ability to withstand crises and mitigate their effects, or we can choose to sit idly by and give ourselves up to the whims of fate. We pay the price either way. How we pay it is up to us.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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Top 10 Human-Centered Change & Innovation Articles of November 2022

Top 10 Human-Centered Change & Innovation Articles of November 2022Drum 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 November’s ten most popular innovation posts:

  1. Human-Centered Design and Innovation — by Braden Kelley
  2. Four Ways to Overcome Resistance to Change — by Greg Satell
  3. What to Do When You Don’t Know What to Do — by Mike Shipulski
  4. 5 Simple Steps for Launching Game-Changing New Products — by Teresa Spangler
  5. Why Small Teams Kick Ass — by Mike Shipulski
  6. Crabby Innovation Opportunity — by Braden Kelley
  7. Music Can Make You a More Effective Leader — by Shep Hyken
  8. Lobsters and the Wisdom of Ignoring Your Customers — by Robyn Bolton
  9. Asking the Wrong Questions Gets You the Wrong Answers — by Greg Satell
  10. Brewing a Better Customer Experience — by Braden Kelley

BONUS – Here are five more strong articles published in October 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 two years:

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