Category Archives: Change

Focus on Shaping Networks Not Opinions

Focus on Shaping Networks Not Opinions

GUEST POST from Greg Satell

Anybody who has ever been married or had kids knows how difficult it can be to convince even a single person. To persuade dozens or hundreds — much less thousands or millions — to change their mind about something important seems like a pipe dream. Yet that doesn’t stop people from spending significant time and energy to do just that.

In fact, there is a massive industry dedicated to shaping opinions. Professionals research attitudes, identify “value propositions,” craft messages and leverage “influencers” in the hopes that they can get people to change their minds. Yet despite the billions of dollars invested each year, evidence of consistent success remains elusive.

The truth is that the best indicator of what people do and think is what the people around them do and think. Instead of trying to shape opinions, we need to shape networks. That’s why we need to focus our efforts on working to craft cultures rather than wordsmithing slogans. To do that, we need to understand the subtle ways we influence each other.

The Influencer Myth

Malcolm Gladwell, blockbuster book, The Tipping Point, popularized his “Law of the Few,” which he stated as: “The success of any kind of social epidemic is heavily dependent on the involvement of people with a particular and rare set of social gifts.” This reenergized earlier ideas about opinion leaders, the supposedly secret people who somehow have outsize influence on others.

Perhaps not surprisingly, the communications industry quickly jumped to promote the idea of secret “influentials” living among us. Clearly, if you’re looking to shape opinions, being able to identify such people would be incredibly valuable and, it goes without saying, firms who could claim an expertise in leveraging those powers could earn outsized fees.

Yet the actual evidence that these people actually exist is incredibly thin. Even the original opinion leader research found that influence was highly contextual. In a more recent study of e-mails, it was found that highly connected people weren’t necessary to produce a viral cascade. In another, based on Twitter, it was found that they aren’t even sufficient. So called “Influentials” are only slightly more likely to produce viral chains.

Duncan Watts, co- author of both studies and a pioneer in the science of networks told me, “The Influentials hypothesis, is a theory that can be made to fit the facts once they are known, but it has little predictive power. It is at best a convenient fiction; at worst a misleading model. The real world is much more complicated.”

The Framingham Heart Study

While there is little evidence to suggest that there are special people secretly influencing our attitudes and decisions, there is abundant evidence that completely normal people exert influence all the time. We may ask our nephew about what app to download, or a co-worker about where to go for dinner. We all have people in our lives that we go to for advice about particular things.

Decades of scientific research suggests that the best indicator of what we think and do is what the people around us think and do. A famous series of studies performed in the 1950s—replicated countless times since then—found that when confronted with a overwhelming opinion, people will conform to the majority even if it is obviously wrong.

More recent research indicates that the effect applies not only to people we know well, but that extends even to second and third-degree relationships. So not only our friends, but the friends of their friends as well—many of whom we may have never met—influence us. This effect not only applies to our opinions, but also things like smoking and obesity and behaviors related to cooperation and trust.

The evidence is, in fact, overwhelming. Working to shape opinions is bound to be a fruitless exercise unless we are able to shape the networks in which ideas, attitudes and behaviors form. Fortunately, there are some fairly straightforward ways to do that.

Starting With A Majority

When we’re passionate about an idea, we want it to spread. We want to tell everyone, especially, for psychological reasons which are not quite clear to me, the opposition. There is some strange quirk embedded in human nature that makes us want to try to convince those who are most hostile to the proposition. We want to convince skeptics.

As should be clear by now, that’s a very bad idea. An idea in its early stages is, almost by definition, not fully formed. It hasn’t been tested and doesn’t have a track record. You also lack experience in countering objections. Taking an idea in its infancy into hostile territory almost guarantees failure.

The simple alternative is to start with a majority, even if that majority is only three people in a room of five. You can always expand a majority out, but once you’re in the minority you’re going to get immediate pushback. Go out and find people who are as enthusiastic as you are, who are willing to support your idea, to strengthen it and help troubleshoot.

That’s how you can begin to gain traction and build a sense for shared purpose and mission. As you begin to work out the kinks, you can embark on a keystone project, show some success, build a track record and accumulate social proof. As you gain momentum, you will find that there is no need to chase skeptics. They will start coming to you.

Small Groups, Loosely Connected, But United By A Shared Purpose

The biggest misconception about change is that once people understand it, they will embrace it and so the best way to drive change forward is to explain the need for change in a convincing and persuasive way. Change, in this view, is essentially a communication exercise and the right combination of words and images is all that is required.

Even assuming that it is practical to convince people that way, by the same logic they can just as easily have their mind changed right back by counter-arguments. So even successful shaping opinions is, at best, a temporary solution. Clearly, if we are going to bring about sustainable change, we need to shape not just opinions, but networks as well.

In my book Cascades, I explained how small groups, loosely connected but united by a shared purpose drive transformational change. It happens gradually, almost imperceptibly, at first. Connections accumulate under the surface, barely noticed, as small groups slowly begin to link together and congeal into a network. Eventually things hit a tipping point.

The good news is that decades of research suggest that tipping point is much smaller than most people think. Everett Rogers’ “S-curve” research estimated it at 10%-20% of a system. Erica Chenoweth’s research calculated the tipping point to be at 3.5% of a society. Damon Centola at the University of Pennsylvania suggests the tipping point to be at 25% of an organization.

I would take each of these numbers with a grain of salt. The salient point here is that nowhere does the evidence suggest we need anything close to 51% support for change to take hold. Our job as leaders is to cultivate networks, help them connect and inspire them with a sense of shared values and shared purpose.

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

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Three Reasons Change Efforts Fail

Three Reasons Change Efforts Fail

GUEST POST from Greg Satell

There’s no question we have entered a transformative age, with major shifts in technology, resources, demography and migration. Over the next decades, we will have to move from digital from post-digital, from carbon to zero-carbon and from the Boomer values to those of Millennials and Zoomers. Migration will strain societies’ social compact.

Unfortunately, we’re really bad at adapting to change. We’ve known about the climate threat for decades, but have done little about it. The digital revolution, for all the hoopla, has been a big disappointment, falling far short of its promise to change the world for the better. Even at the level of individual firms, McKinsey finds that the vast majority of initiatives fail.

One key factor is that we too often assume that change is inevitable. It’s not. Change dies every day. New ideas are weak, fragile, and in need of protection. If we’re going to bring about genuine transformation, we need to take that into account. The first step is to learn the reasons why change fails in the first place. These three are a good place to start.

1. A Flawed Idea

One obvious reason that change fails is that the idea itself is flawed in some way. Barry Libenson found this out when he was hired to be CIO at the industrial conglomerate Ingersoll Rand. It was his first CIO role and Barry was eager to please the CEO, who he saw as a mentor. So he agreed to aggressive very performance targets for modernizing systems.

Yet while Barry was being financially incentivized to upgrade technology, each of the division leaders were financially incentivized to maximize profit growth. Every dollar they invested in modernizing systems would eat into their performance bonus. Perhaps not surprisingly, Barry’s modernization program didn’t go as well as he’d hoped.

There are a number of tools that can help to troubleshoot ideas and uncover flaws. Pre-mortems force you to imagine how a project could fail. Red Teams set up a parallel group specifically to look for flaws. Howard Tiersky, CEO of the digital transformation agency From Digital and author of the Wall Street Journal bestseller Winning Digital Customers, often uses de Bono’s Six Thinking Hats to help the team take different perspectives.

Most of all, we need to come to terms with the reality that our ideas are always wrong. Sometimes they’re off by a little and sometimes they’re off by a lot, but they’re always wrong, so we always need to be on the lookout for problems. As the physicist Richard Feynman put it.“The first principle is that you must not fool yourself — and you are the easiest person to fool. So you have to be very careful about that.”

2. Failure To Build Trust

Proposed in 1983 by Ira Magaziner, the Rhode Island’s Greenhouse Compact is still considered to be an impressive policy even today, 40 years later. In fact, the bipartisan CHIPS Act is based on the same principle, that targeted, strategic government investments can help simulate economic development in the private sector.

The plan in Rhode Island was to establish four research centers or “greenhouses” throughout the state to help drive development in new technologies, like robotics, medicine and thin film materials, as well as existing industries in which the state had built-in advantages, such as tourism, boat-building and fishing. It quickly gained support among the state’s elite

Yet things quickly soured. There were a number of political scandals that reduced faith in Rhode Island’s government and fed into the laissez-faire zeitgeist of the Reagan era. Critics called the plan “elitist,” for taxing “ordinary” citizens to subsidize greedy corporations. When the referendum was held, it plan got less than a fifth of the vote.

Magaziner’s mistake — one he would repeat with the healthcare plan during the Clinton Administration—was ignoring the need to build trust among constituencies. Getting the plan right is never enough. You need to methodically build trust and support as you go.

3. Identity and Dignity

One of the biggest mistakes change leaders make is assuming that resistance to change has a rational basis. They feel that if they listen to concerns and address them, they will be able to build trust and win over skeptics. Unfortunately, while doing those things is certainly necessary for a successful change effort, it is rarely sufficient.

The simple fact is that human beings form attachments to people, ideas and things and when they feel those attachments are threatened, it offends their identity, dignity and sense of self. This is the most visceral kind of resistance. We can argue the merits of a particular idea and methodically build trust, but we can’t ask people to stop being who they think they are.

Don’t waste your time trying to convince the unconvincible. Your efforts will be very unlikely to succeed and very likely to exhaust and frustrate you. The good news is that irrational resistors, if left to their own devices, will often discredit themselves eventually. You can also speed up the process by designing a dilemma action.

What can be hardest about change, especially when we feel passionately about it, is that at some point, we need to accept that others will not embrace it and we will have to leave some behind. Not every change is for everybody. Some will have to pursue a different journey, one to which they can devote their passions and seek out their own truths.

Change Is Not Inevitable

People like to quote the ancient Greek philosopher Heraclitus, who said things like “the only constant is change” and “no man ever steps in the same river twice, for it’s not the same river and he’s not the same man.” They’re clever quotes and they give us confidence that the change we seek is not only possible, but inevitable.

Yet while change in general may be inevitable, the prospects for any particular change initiative are decidedly poor and the failure to recognize that simple fact is why so many transformation efforts fall short. The first step toward making change succeed is to understand and internalize just how fragile a new, unproven initiative really is.

To bring genuine change about you can’t expect to just push forward and have everyone fall in line. No amount of executive sponsorship or program budget will guarantee victory. To move forward, you will need to listen to skeptics, identify and fix flaws in your idea to methodically build trust. Even then, you will have to outsmart those who have an irrational lust to kill change and who act in ways that are dishonest, underhanded and deceptive.

Change is always, at some level, about what people value. That’s why to make it happen you need to identify shared values that reaffirm, rather than undermine, people’s sense of identity. Recognition is often a more powerful incentive than even financial rewards. In the final analysis, lasting change always needs to be built on common ground.

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

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Embodied Artificial Intelligence is the Next Frontier of Human-Centered Innovation

LAST UPDATED: December 8, 2025 at 4:56 PM

Embodied Artificial Intelligence is the Next Frontier of Human-Centered Innovation

GUEST POST from Art Inteligencia

For the last decade, Artificial Intelligence (AI) has lived primarily on our screens and in the cloud — a brain without a body. While large language models (LLMs) and predictive algorithms have revolutionized data analysis, they have done little to change the physical experience of work, commerce, and daily life. This is the innovation chasm we must now bridge.

The next great technological leap is Embodied Artificial Intelligence (EAI): the convergence of advanced robotics (the body) and complex, generalized AI (the brain). EAI systems are designed not just to process information, but to operate autonomously and intelligently within our physical world. This is a profound shift for Human-Centered Innovation, because EAI promises to eliminate the drudgery, danger, and limitations of physical labor, allowing humans to focus exclusively on tasks that require judgment, creativity, and empathy.

The strategic deployment of EAI requires a shift in mindset: organizations must view these agents not as mechanical replacements, but as co-creators that augment and elevate the human experience. The most successful businesses will be those that unlearn the idea of human vs. machine and embrace the model of Human-Embodied AI Symbiosis.

The EAI Opportunity: Three Human-Centered Shifts

EAI accelerates change by enabling three crucial shifts in how we organize work and society:

1. The Shift from Automation to Augmentation

Traditional automation replaces repetitive tasks. EAI offers intelligent augmentation. Because EAI agents learn and adapt in real-time within dynamic environments (like a factory floor or a hospital), they can handle unforeseen situations that script-based robots cannot. This means the human partner moves from supervising a simple process to managing the exceptions and optimizations of a sophisticated one. The human job becomes about maximizing the intelligence of the system, not the efficiency of the body.

2. The Shift from Efficiency to Dignity

Many essential human jobs are physically demanding, dangerous, or profoundly repetitive. EAI offers a path to remove humans from these undignified roles — the loading and unloading of heavy boxes, inspection of hazardous infrastructure, or the constant repetition of simple assembly tasks. This frees human capital for high-value interaction, fostering a new organizational focus on the dignity of work. Organizations committed to Human-Centered Innovation must prioritize the use of EAI to eliminate physical risk and strain.

3. The Shift from Digital Transformation to Physical Transformation

For decades, digital transformation has been the focus. EAI catalyzes the necessary physical transformation. It closes the loop between software and reality. An inventory algorithm that predicts demand can now direct a bipedal robot to immediately retrieve and prepare the required product from a highly chaotic warehouse shelf. This real-time, physical execution based on abstract computation is the true meaning of operational innovation.

Case Study 1: Transforming Infrastructure Inspection

Challenge: High Risk and Cost in Critical Infrastructure Maintenance

A global energy corporation (“PowerLine”) faced immense risk and cost in maintaining high-voltage power lines, oil pipelines, and sub-sea infrastructure. These tasks required sending human crews into dangerous, often remote, or confined spaces for time-consuming, repetitive visual inspections.

EAI Intervention: Autonomous Sensory Agents

PowerLine deployed a fleet of autonomous, multi-limbed EAI agents equipped with advanced sensing and thermal imaging capabilities. These robots were trained not just on pre-programmed routes, but on the accumulated, historical data of human inspectors, learning to spot subtle signs of material stress and structural failure — a skill previously reserved for highly experienced humans.

  • The EAI agents performed 95% of routine inspections, capturing data with superior consistency.
  • Human experts unlearned routine patrol tasks and focused exclusively on interpreting the EAI data flags and designing complex repair strategies.

The Outcome:

The use of EAI led to a 70% reduction in inspection time and, critically, a near-zero rate of human exposure to high-risk environments. This strategic pivot proved that EAI’s greatest value is not economic replacement, but human safety and strategic focus. The EAI provided a foundational layer of reliable, granular data, enabling human judgment to be applied only where it mattered most.

Case Study 2: Elderly Care and Companionship

Challenge: Overstretched Human Caregivers and Isolation

A national assisted living provider (“ElderCare”) struggled with caregiver burnout and increasing costs, while many residents suffered from emotional isolation due to limited staff availability. The challenge was profoundly human-centered: how to provide dignity and aid without limitless human resources.

EAI Intervention: The Adaptive Care Companion

ElderCare piloted the use of adaptive, humanoid EAI companions in low-acuity environments. These agents were programmed to handle simple, repetitive physical tasks (retrieving dropped items, fetching water, reminding patients about medication) and, critically, were trained on empathetic conversation models.

  • The EAI agents managed 60% of non-essential, fetch-and-carry tasks, freeing up human nurses for complex medical care and deep, personalized interaction.
  • The EAI’s conversation logs provided caregivers with Small Data insights into the emotional state and preferences of the residents, allowing the human staff to maximize the quality of their face-to-face time.

The Outcome:

The pilot resulted in a 30% reduction in nurse burnout and, most importantly, a measurable increase in resident satisfaction and self-reported emotional well-being. The EAI was deployed not to replace the human touch, but to protect and maximize its quality by taking on the physical burden of routine care. The innovation successfully focused human empathy where it had the greatest impact.

The EAI Ecosystem: Companies to Watch

The race to commercialize EAI is accelerating, driven by the realization that AI needs a body to unlock its full economic potential. Organizations should be keenly aware of the leaders in this ecosystem. Companies like Boston Dynamics, known for advanced mobility and dexterity, are pioneering the physical platforms. Startups such as Sanctuary AI and Figure AI are focused on creating general-purpose humanoid robots capable of performing diverse tasks in unstructured environments, integrating advanced large language and vision models into physical forms. Simultaneously, major players like Tesla with its Optimus project and research divisions within Google DeepMind are laying the foundational AI models necessary for EAI agents to learn and adapt autonomously. The most promising developments are happening at the intersection of sophisticated hardware (the actuators and sensors) and generalized, real-time control software (the brain).

Conclusion: A New Operating Model

Embodied AI is not just another technology trend; it is the catalyst for a radical change in the operating model of human civilization. Leaders must stop viewing EAI deployment as a simple capital expenditure and start treating it as a Human-Centered Innovation project. Your strategy should be defined by the question: How can EAI liberate my best people to do their best, most human work? Embrace the complexity, manage the change, and utilize the EAI revolution to drive unprecedented levels of dignity, safety, and innovation.

“The future of work is not AI replacing humans; it is EAI eliminating the tasks that prevent humans from being fully human.”

Frequently Asked Questions About Embodied Artificial Intelligence

1. How does Embodied AI differ from traditional industrial robotics?

Traditional industrial robots are fixed, single-purpose machines programmed to perform highly repetitive tasks in controlled environments. Embodied AI agents are mobile, often bipedal or multi-limbed, and are powered by generalized AI models, allowing them to learn, adapt, and perform complex, varied tasks in unstructured, human environments.

2. What is the Human-Centered opportunity of EAI?

The opportunity is the elimination of the “3 Ds” of labor: Dangerous, Dull, and Dirty. By transferring these physical burdens to EAI agents, organizations can reallocate human workers to roles requiring social intelligence, complex problem-solving, emotional judgment, and creative innovation, thereby increasing the dignity and strategic value of the human workforce.

3. What does “Human-Embodied AI Symbiosis” mean?

Symbiosis refers to the collaborative operating model where EAI agents manage the physical execution and data collection of routine, complex tasks, while human professionals provide oversight, set strategic goals, manage exceptions, and interpret the resulting data. The systems work together to achieve an outcome that neither could achieve efficiently alone.

Your first step toward embracing Embodied AI: Identify the single most physically demanding or dangerous task in your organization that is currently performed by a human. Begin a Human-Centered Design project to fully map the procedural and emotional friction points of that task, then use those insights to define the minimum viable product (MVP) requirements for an EAI agent that can eliminate that task entirely.

UPDATE – Here is an infographic of the key points of this article that you can download:

Embodied Artificial Intelligence Infographic

Disclaimer: This article speculates on the potential future applications of cutting-edge scientific research. While based on current scientific understanding, the practical realization of these concepts may vary in timeline and feasibility and are subject to ongoing research and development.

Image credit: 1 of 1,000+ quote slides for your meetings & presentations at http://misterinnovation.com

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The Tax Trap and Why Our Economic OS is Crashing

LAST UPDATED: December 3, 2025 at 6:23 PM

The Tax Trap and Why Our Economic OS is Crashing

GUEST POST from Art Inteligencia

We are currently operating an analog economy in a digital world. As an innovation strategist, I often talk about Braden Kelley’s “FutureHacking” — the art of getting to the future first. But sometimes, the future arrives before we have even unpacked our bags. The recent discourse around The Great American Contraction has illuminated a structural fault line in our society that we can no longer ignore. It is what I call the Tax Trap.

This isn’t just an economic glitch; it is a design failure of our entire social contract. We have built a civilization where human survival is tethered to labor, and government solvency is tethered to taxing that labor. As we sprint toward a post-labor economy fueled by Artificial Intelligence and robotics, we are effectively sawing off the branch we are sitting on.

The Mechanics of the Trap

To understand the Tax Trap, we must look at the “User Interface” of our government’s revenue stream. Historically, the user was the worker. You worked, you got paid, you paid taxes. The government then used those taxes to build roads, schools, and safety nets. It was a closed loop.

The introduction of AI as a peer-level laborer breaks this loop in two distinct places, creating a pincer movement that threatens to crush fiscal stability.

1. The Revenue Collapse (The Input Failure)

Robots do not pay payroll taxes. They do not contribute to Social Security or Medicare. When a logistics company replaces 500 warehouse workers with an autonomous swarm, the government loses the income tax from 500 people. But it goes deeper.

In the race for AI dominance, companies are incentivized to pour billions into “compute” — data centers, GPUs, and energy infrastructure. Under current accounting rules, these massive investments can often be written off as expenses or depreciated, driving down reportable profit. So, not only does the government lose the payroll tax, but it also sees a dip in corporate tax revenue because on paper, these hyper-efficient companies are “spending” all their money on growth.

2. The Welfare Spike (The Output Overload)

Here is the other side of the trap. Those 500 displaced warehouse workers do not vanish. They still have biological needs. They need food, healthcare, and housing. Without wages, they turn to the public safety net.

This creates a terrifying feedback loop: Revenue plummets exactly when demand for services explodes.

The Innovation Paradox: The more efficient our companies become at generating value through automation, the less capable our government becomes at capturing that value to sustain the society that permits those companies to exist.

A Human-Centered Design Flaw

As a champion of Human-Centered Change, I view this not as a political problem, but as an architectural one. We are trying to run a 21st-century software (AI-driven abundance) on 20th-century hardware (labor-based taxation).

The “Great American Contraction” suggests that smart nations will reduce their populations to avoid this unrest. While logically sound from a cold, mathematical perspective, it is a defensive strategy. It is a retreat. As innovators, we should not be looking to shrink to fit a broken model; we should be looking to redesign the model to fit our new reality.

The current system penalizes the human element. If you hire a human, you pay payroll tax, health insurance, and deal with HR complexity. If you hire a robot, you get a capital depreciation tax break. We have literally incentivized the elimination of human relevance.

Charting the Change: The Pivot to Value

How do we hack this future? We must decouple human dignity from labor, and government revenue from wages. We need a new “operating system” for public finance.

We must shift from taxing effort (labor) to taxing flow (value). This might look like:

  • The Robot Tax 2.0: Not a penalty on innovation, but a “sovereign license fee” for operating autonomous labor units that utilize public infrastructure (digital or physical).
  • Data Dividends: Recognizing that AI is trained on the collective knowledge of humanity. If an AI uses public data to generate profit, a fraction of that value belongs to the public trust.
  • The VAT Revolution: Moving toward taxing consumption and revenue rather than profit. If a company generates billions in revenue with zero employees, the tax code must capture a slice of that transaction volume, regardless of their operational costs.

The Empathy Engine

The Tax Trap is only fatal if we lack imagination. “The Great American Contraction” warns of scarcity, but automation promises abundance. The bridge between the two is distribution.

If we fail to redesign this system, we face a future of gated communities guarded by drones, surrounded by a sea of irrelevant, under-supported humans. That is a failure of innovation. True innovation isn’t just about faster chips or smarter code; it’s about designing systems that elevate the human condition.

We have the tools to build a world where the robot pays the tax, and the human reaps the creative dividend. We just need the courage to rewrite the source code of our economy.


The Great American Contraction Infographic

Image credits: Google Gemini

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FLASH SALE – 50% off THE Human-Centered Change Guidebook

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The Human-Centered Change Guidebook - Charting ChangeExciting news!

The publisher of my second book – Charting Change – is having a 48-hour FLASH SALE and so you can get the hardcover, softcover or the eBook for 50% off the list price using CODE FLSH50 until December 5, 2025, 11:59PM EDT. The new second edition includes loads of new content including additional guest expert sections and chapters on business architecture, project and portfolio management, and digital and business transformations!

I stumbled across this and wanted to share with everyone so if you haven’t already gotten a copy of this book to power your digital transformation or your latest project or change initiative to success, now you have no excuse!

Click here to get your copy of Charting Change for 50% off using CODE FLSH50

Of course you can get 10 free tools here from the book, but if you buy the book and contact me I will send you 26 free tools from the 50+ tools in the Change Planning Toolkit™ – including the Change Planning Canvas™!

*If discount is not applied automatically, please use this code: FLSH50. The discount is available through December 5, 2025. This offer is valid for English-language Springer, Palgrave & Apress books & eBooks. The discount 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, 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.

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Top 10 Human-Centered Change & Innovation Articles of November 2025

Top 10 Human-Centered Change & Innovation Articles of November 2025Drum 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. Eight Types of Innovation Executives — by Stefan Lindegaard
  2. Is There a Real Difference Between Leaders and Managers? — by David Burkus
  3. 1,000+ Free Innovation, Change and Design Quotes Slides — by Braden Kelley
  4. The AI Agent Paradox — by Art Inteligencia
  5. 74% of Companies Will Die in 10 Years Without Business Transformation — by Robyn Bolton
  6. The Unpredictability of Innovation is Predictable — by Mike Shipulski
  7. How to Make Your Employees Thirsty — by Braden Kelley
  8. Are We Suffering from AI Confirmation Bias? — by Geoffrey A. Moore
  9. How to Survive the Next Decade — by Robyn Bolton
  10. It’s the Customer Baby — 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!

Build a Common Language of Innovation on your team

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 four years:

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Achieve Transformational Success with ‘Charting Change’

Save Until November 30, 2025 on the Softcover and eBook

Achieve Transformational Success with 'Charting Change'

📢 Attention Change Agents: Master the Art of Transformation with Charting Change!

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I’m thrilled to announce that the Second Edition of my best-selling book, Charting Change: A Visual Toolkit for Making Change Stick, is now available for the incredibly low price of just $17.99 for the softcover (FREE shipping worldwide) and eBook versions directly from my publisher! Don’t miss this opportunity to acquire an essential toolkit that will transform how you lead.


🛠️ Your Benefits: A New and Expanded Toolkit for Success

The Second Edition isn’t just a reprint; it’s a major expansion, born from user feedback and the accelerating pace of today’s business environment. When you grab your copy, you are investing in a comprehensive, practical guide that will help you beat the painful 70% change failure rate.

1. Expanded Coverage on Critical Modern Topics

I’ve added four new chapters to equip you for the complex, interconnected challenges of the 21st-century organization:

  • Architecting for Change: Learn how organizational design and business architecture work together to create a flexible, resilient structure, rather than just forcing change onto a rigid system.
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  • Digital Transformation: Get a clear roadmap for executing successful digital shifts that are human-centered—focusing on customer and employee experience, not just the technology.
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Change Planning Canvas

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Every book purchase grants you a complimentary Basic License to the Change Planning Toolkit™! This is invaluable, providing you with access to 26 of my 70+ frameworks and visual tools as downloadable, large-format PDFs, including:

  • The Change Planning Canvas™: A single, collaborative visual tool that gets everyone literally on the same page for discussing and planning the variables that influence your change effort.
  • Visual Guides and Worksheets: Practical, easy-to-use frameworks to visualize the current state, envision the desired state, identify benefits, and segment your audience.

3. Practical, Collaborative, and Visual Execution

Charting Change is designed to be a field guide, not a theoretical text. You will learn how to:

  • Drive Buy-in and Alignment: Use visual, collaborative techniques to draw out hidden assumptions and landmines early, ensuring stakeholders are aligned and committed.
  • Measure and Manage Readiness: Employ new visual tools, like the Organizational Agility Framework, to effectively assess your team’s and organization’s readiness for change and transition.
  • Overcome Resistance: Learn practical strategies for identifying and working with the people side of change, turning passive resistors into active supporters.
  • Build a Common Language: Establish a shared vocabulary and vision for change implementation across your entire organization, increasing the likelihood of success.

For less than the price of lunch, you can acquire the blueprint for successful, human-centered change. Stop betting on the 30% chance of success and start charting your path to transformation today!

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Strategic Self-Righteousness is Not a Thing

Strategic Self-Righteousness is Not a Thing

GUEST POST from Greg Satell

Not long ago I was participating in a discussion on the social audio app, Clubhouse, and I said something a lady didn’t like that triggered her emotions. “Obviously, you need to be educated,” she said before subjecting me to a prolonged harangue riddled with inaccuracies, logical gaps and non-sequiturs.

Yet putting the merits of her argument aside, her more serious error was trying to overpower, rather than attract, in order to further her argument. If anything, she undermined her cause. Nobody likes a bully. Perhaps even more importantly, silencing opposing views restricts your informational environment and situational awareness.

This is why Gandhi so strictly adhered to the principle of ahimsa, which not only proscribed physical violence, but that of words or even thoughts. Everyone has their own sense of identity and dignity. Violating that will not bring you closer to success, but will almost certainly set you on a path to failure. Self-righteousness isn’t a strategy, but the lack of one.

Forming An Identity With Differentiated Values

Humans, by nature, seek out ideas to believe in. Ideas give us purpose and a sense of mission. That’s why every religion begins with an origin story, because it is our ideas that differentiate us from others and give us a sense of worth. What does it mean to be a Christian, Jew, or Muslim, a socialist or a capitalist, if we’re not differentiated by our beliefs?

So it shouldn’t be surprising that when people want to express their ideas, they tend to start with how their beliefs are different, because it is the dogmatic aspects of the concepts that drive their passion. Perhaps even more importantly, it is their conspicuous devotion that signals their inclusion with a particular tribe of shared identity.

Humans naturally form tribes in this way. In a study of adults that were randomly assigned to “leopards” and “tigers,” fMRI studies noted hostility to out-group members. Similar results were found in a study involving five year-old children and even in infants. Evolutionary psychologists attribute this tendency to kin selection, which explains how groups favor those who share their attributes in the hopes that those attributes will be propagated.

So when we’re passionate about an idea, we not only want to share it and “educate” others, we will also tend to see any threats to its survival as an affront to our identity. We begin to view ourselves as protectors and bond with others who share our purpose. We need to be aware of this pattern, because we’re all susceptible to it and that’s where the trouble starts.

Echo Chambers And The Emergence Of A Private Language

Spend time in an unfamiliar tribe and you’ll immediately notice that they share a private language. Minnesota Vikings fans shout “Skol!” Military people talk about distance in terms of “klicks,” and might debate the relative importance of HUMINT vs. SIGINT. Step into a marketing meeting and you’ll be subjected to a barrage of acronyms.

The philosopher Ludwig Wittgenstein explained how these types of private languages can be problematic. He made the analogy of a beetle in a box. If everybody had something in a box that they called a beetle, but no one could examine each other’s box, there would be no way of knowing whether everybody was actually talking about the same thing or not.

What Wittgenstein pointed out was that in this situation, the term “beetle” would lose relevance and meaning. It would simply refer to something that everybody had in their box, whatever that was. Everybody could just nod their heads not knowing whether they were talking about an insect, a German automobile or a British rock band.

Clearly, the way we tend to self-sort ourselves into homophilic, homogeneous groups will shape how we perceive what we see and hear, but it will also affect how we access information. Recently, a team of researchers at MIT looked into how we share information—and misinformation—with those around us. What they found was troubling.

When we’re surrounded by people who think like us, we share information more freely because we don’t expect to be questioned. We’re also less likely to check our facts, because we know that those we are sharing the item with will be less likely to inspect it themselves. So when we’re in a filter bubble, we not only share more, we’re also more likely to share things that aren’t true. Greater polarization leads to greater misinformation.

The Growing Backlash

One of the many things I’ve learned from my friend Srdja Popović is that the phase after an initial victory is often the most dangerous. Every revolution inspires its own counter-revolution. That is the physics of change. While you’re celebrating your triumph, the forces arrayed against you are redoubling their efforts to undermine what you’re trying to achieve.

Yet nestled safely within your tribe, speaking a private language in an echo chamber, you are unlikely to see the storm gathering storm. If most of the people around you think like you do, change seems inevitable. You tell each other stories about how history is on your side and the confluence of forces are in your favor.

Consider the case of diversity training. After the killing of George Floyd by a police officer led to massive global protests in over 2,000 towns and 60 countries, corporations around the world began to ramp up their diversity efforts, hiring “Chief Diversity Officers” and investing in training. For many, it was the dawn of a growing consciousness and a brighter, more equitable future.

It hasn’t seemed to turn out that way, though. Increased diversity training has not led to better outcomes and, in fact, there is increasing evidence of backlash. In particular researchers note that much of the training makes people feel targeted. Telling people that they owe their positions to something other than hard work and skill offends their dignity and can actually trigger exactly the behaviors that diversity programs are trying to change.

These misgivings are rarely voiced out loud, however, which is why change advocates rarely notice the growing chorus waiting for an opportunity to send the pendulum swinging in the other direction.

Learning To Survive Victory

In The Righteous Mind, social psychologist Jonathan Haidt makes the point that many of our opinions are a product of our inclusion in a particular team. Because our judgments are so closely intertwined with our identity, contrary views can feel like an attack. So we feel the urge to lash out and silence opposition. That almost guarantees a failure to survive victory.

I first noticed this in the aftermath of the Ukraine’s Orange Revolution in 2004. Having overcome a falsified election, we were so triumphant that we failed to see the gathering storm. Because we felt that the forces of history were on our side, we dismissed signs that the corrupt and thuggish Viktor Yanukovich was staging a comeback and paid a terrible price.

I see the same pattern in our work helping organizations with transformational initiatives. Change leaders feel so passionately about their idea they want to push it through, silence dissent, launch it with a big communication campaign and create strong incentives to get on board. They’re sure that once everybody understands the idea, they’ll love it too.

The truth is to bring about lasting change you need to learn to love your haters. They’re the ones who can help alert you to early flaws, which gives you the opportunity to fix them before they can do serious damage. They can also help you to identify shared values that can help you communicate more effectively and also design dilemmas that will send people your way.

But in order to do that, you need to focus your energy on winning converts, rather than punishing heretics. It’s more important to make a difference than it is to make a point.

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

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Why Dissatisfaction is Awesome

Why Dissatisfaction is Awesome

GUEST POST from Mike Shipulski

If you’re dissatisfied, there’s a reason.

If you’re dissatisfied, there’s hope for us all.

If you’re not dissatisfied, there’s no forcing function for change.

If you’re not dissatisfied, the status quo will carry the day.

If you’re not dissatisfied, innovation work is not for you.

If you’re dissatisfied, you know it could be better next time.

If you’re dissatisfied, your insecure leader will step on your head.

If you’re dissatisfied, there’s a reason and that reason is real.

If you’re dissatisfied, follow your dissatisfaction.

If you’re dissatisfied, I want to work with you.

If you’re dissatisfied, it’s because you see things as they are.

If you’re dissatisfied, your confident leader will ask how things should go next time.

If you’re dissatisfied, it’s because you want to make a difference.

If you’re dissatisfied, look inside.

If you’re dissatisfied, there’s a reason, the reason is real and it’s time to do something about it.

If you’re dissatisfied, you’re thinking for yourself.

If you’re so dissatisfied you openly show anger, thank you for trusting me enough to show your true self.

If you’re dissatisfied, it’s because you know things should be better than they are.

If you’re dissatisfied, do something about it.

If you’re dissatisfied, thank you for thinking deeply.

If you’re dissatisfied, it’s because you’re not asleep at the wheel.

If you’re dissatisfied, it’s because your self-worth allows it.

Thank you for caring enough to be dissatisfied.

Image credit: Pixabay

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1,000+ Free Innovation, Change and Design Quotes Slides

LAST UPDATED: November 12, 2025 at 10:21AM
1,000+ Free Innovation, Change and Design Quotes Slides

Spice Up Your Meetings, Presentations, Keynotes and Workshops

I’m flattered that people have been quoting my keynote speeches and my first two books Stoking Your Innovation Bonfire and Charting Change (now in its Second Edition).

So, I’m making some of my favorite quotes available from myself and other thought leaders in a fun, visual, easily shareable format.

I’ve been publishing them on Instagram, LinkedIn, Facebook, and Twitter.

Find a compelling quote for a meeting, presentation, workshop or keynote speech on any of these topics:

  • Innovation
  • Design
  • Customer Experience
  • Digital Transformation
  • Change
  • Creativity
  • Leadership
  • Design Thinking

Download twenty (20) volumes of fifty (50) quote posters, for a total of 1,000 (with more on the way), for FREE from my store:

You can add them all to your shopping cart at once and download them for FREE.

Print them, share them on social media, or use them in your presentations, keynote speeches or workshops.

They are all Adobe PDF’s and the best way to add them to your presentation is to:

  1. Put the PDF into FULL SCREEN MODE
  2. Take a screenshot
  3. Paste it into your presentation
  4. Crop it and adjust the size to your liking
  5. Change the background color of the slide to a suitable color (if necessary)

Contact me with your favorite quote or to book me for a keynote, workshop, or piece of commissioned content to attract new customers.

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