Tag Archives: futurist

Leaders Must Think Like Futurists as Change Accelerates

Leaders Must Think Like Futurists as Change Accelerates

GUEST POST from Robert B. Tucker

With war in Iran disrupting the global energy supply, AI breakthroughs threatening jobs, and political, demographic, and social forces colliding everywhere, we may be entering an age where disruption is the permanent new normal.

The question is what to do about it.

In this new age of constant acceleration, traditional approaches to planning are out the window. Leaders who rely on methods that worked in the past may find themselves reacting to events, forever firefighting, and playing catch-up. In an age defined by compounding disruptions, leaders cannot rely solely on incremental planning, quarterly metrics, or yesterday’s assumptions.

What this moment demands is a different discipline altogether: the ability to think like futurists and visionaries and reinvent how we navigate the future.

That was the central message delivered recently by leading futurist Rachel Hatch of the Institute for the Future, at the 2026 REACH Ideas and Action Summit in California’s Central Coast region. “The future is far too complex and uncertain and combinatorial to predict,” Hatch told the gathering of industry, government, and nonprofit leaders at the UC Santa Barbara campus.

“If someone’s pretending that they can predict the future, they probably shouldn’t be trusted. But what we can do is to help people think more systematically and creatively about how the future might be different. And adopt certain foresight tools to guide us forward.”

The Institute was founded in 1968 to study long-term societal and technological change. The Palo Alto, California, nonprofit conducts foresight research that helps businesses, governments, and nonprofits to map scenarios and better prepare for change.

Hatch and her fellow researchers collaborate with organizations as varied as the Episcopal Church, public transit agencies, universities, nonprofits, and economic development consortia such as REACH, which organized the one-day conference on the UCSB campus.

In times like these, noted Hatch, leaders must do two things at once: improvisation and imagination. “Most of you are already improvising all day long, responding to surprises, disruptions, funding shifts, political whiplash, labor shortages, new technologies, and changing expectations. But tapping your imagination, and opening the mental space to think deeply and systematically about what might come next, is often crowded out by urgency.”

To Hatch, this reactive leadership style is a mistake. In such environments, preparedness becomes a core leadership discipline. “Preparedness does not mean predicting the future with precision. It means developing the habits, mindsets, and frameworks that allow us to respond wisely to multiple plausible futures before they arrive at full force.”

Hatch made this point memorably by recalling an exercise the Institute conducted in 2008, led by IFTF colleague Jane McGonigal. Using a game called Superstruct, one of the scenarios the group explored was the possibility of an out-of-control global respiratory pandemic. Participants were invited to imagine a scenario where a virus went rogue and ponder, “If this were to happen, what would you do? How would you respond?”

One participant in the 2008 exercise mentioned digging old paint masks out of the garage. Another imagined supply chains breaking down. A third wondered how parents would work while simultaneously schooling their children at home. The value of the exercise, Hatch noted, was not that people would someday declare themselves “fully prepared to face a pandemic,” but that they developed what she called “a little bit more of a readiness posture” by allowing themselves to imagine a future they would rather not contemplate.

That phrase—readiness posture—is exactly right for today’s mass uncertainty and acceleration. And it encapsulates the value of futurist thinking. We cannot know with pinpoint accuracy which event will happen on which date. After all, the future is, as Hatch put it, “far too complex and uncertain and combinatorial” for that.

But we can think more systematically and creatively about how the future might be different, and we can use that thinking to make better choices now. Which is where the futurist tool of strategic foresight comes in.

Hatch defined foresight as “a set of tools, processes, and mindsets for developing strategy and making decisions under conditions of uncertainty.” Techniques can be taught. Tools can be adopted. Yet the hardest part is shifting our thinking and letting in different points of view. “Helping leaders loosen their grip on the ‘official future’ that they have been assuming will happen— takes humility, curiosity, and courage. And often a new mindset.”

Hatch identified several cognitive traps that make future-focused thinking difficult. One is the bias toward precision metrics: the belief that the more data we gather, the more certainty we possess. Data matters, of course. But when leaders become intoxicated by dashboards and forecasts, they often mistake numerical precision for strategic insight. The result is overconfidence, followed by disruption.

Another trap is what she calls “official futures.” Every organization has one: a default set of assumptions about what the market will do, how customers will behave, how technology will unfold, or what success will look like three years from now. These assumptions can create alignment, but they can also become blinders. As Hatch reminded her audience, Nokia once looked unassailable. The official future said so—right until it didn’t.

Then there is the deeply human issue of anxiety about change. Fear narrows imagination. Stress locks us into defensive postures. When people feel under threat, they want to protect the budget, the institution, the business model, the identity, the orthodoxy. But that instinct, however understandable, can make it harder to see emerging possibilities. In my language, this is why adaptability and anticipatory thinking must be cultivated before disruption peaks, not afterward.

Perhaps Hatch’s most fascinating insight came from neuroscience. Research suggests that when people think about their future selves, the brain often responds much as it does when thinking about a stranger. In other words, the future self can feel abstract, distant, and only weakly connected to the present self. That helps explain why leaders, institutions, and even regions so often underinvest in long-term resilience. The future feels real intellectually, but not viscerally.

So how do leaders overcome these traps? Hatch’s answer is both practical and powerful: collect signals of change. These are “vivid, surprising, specific observations about how the world is changing today.” They are not vague trend statements. They are concrete clues—new behaviors, strange business models, emerging technologies, shifting values—that reveal how the future is already arriving in uneven ways.

Futurist and science fiction writer William Gibson famously said, “The future is already here. It’s just not evenly distributed.” Hatch rightly brought that line into her lecture, and it speaks to one of the most under-appreciated disciplines in leadership: learning to spot the future early, while it is still scattered, local, and easy to dismiss.

Hatch’s examples were appropriately provocative. One involved a startup called Rent-a-Human, where AI agents deploy humans into the physical world to perform tasks they themselves cannot do. Another focused on the growing scale of prediction markets and what Hatch called the possible “gamblification economy,” in which younger generations (disillusioned about conventional paths to prosperity) turn increasingly to betting, speculation, and crypto as alternative financial strategies. These examples may sound fringe, even absurd. But as the pioneer of modern futures thinking Jim Dator observed, any useful statement about the future should sound ridiculous at first.

As a fellow futurist, what I especially appreciated was Hatch’s insistence that foresight must lead to action. “Foresight should never be about bright, shiny futures,” she said. “It’s not about naval gazing.” The point is not to marvel at novelty. The point is to make better decisions, allocate resources more wisely, and build stronger institutions while there is still time to do so.

When the pace of change was slower, leaders could get by with experience, instinct, and incremental adjustment. That era is over. In the Age of Acceleration, the advantage will go to those who can widen the time horizon, detect signals early, challenge the official future, and build what Rachel Hatch aptly calls a readiness posture.

Thinking like a futurist is no longer a niche exercise for specialists; it is becoming the defining leadership competency of our time.

This article originally appeared in Forbes

Image credit: Pexels

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Six Leadership Strategies for Navigating the Singularity

Mastering The Futurist Mindset

Six Leadership Strategies for Navigating the Singularity

GUEST POST from Robert B. Tucker

In a world that’s shifting faster than we can often comprehend, the ability to anticipate the direction of change isn’t just an asset—it’s an essential competitive advantage. Intel, IBM, and Chevron once dominated their industries. Today, they are struggling to remain relevant. Jobs, and professionals, that once seemed secure are now encountering the burgeoning impacts of artificial intelligence and automation. For leaders in every industry, insight into what’s coming next can make the difference between thriving and being blindsided by change.

That’s where adopting the futurist mindset can give you an edge.

Contrary to popular perception, futurists aren’t crystal ball gazers. Yes, some of us, such as futurist Ray Kurzweil, make specific predictions about when the AI-Singularity will occur (2029, the point at which machines will become smarter than humans), but our value is not in our predictive capabilities.

Instead, futurists are methodical, systematic thinkers who approach the future not as a fixed path, but as a set of possibilities and probabilities that can be influenced and even shaped.

“The future is coming at us with mind-boggling speed,” observes Zurich-based futurist Gerd Leonhard. “What I do is not prediction — it’s observation. Just paying attention. I can’t tell you how many of my clients are just not paying attention to what’s happening. They don’t listen to their kids or their wives, never mind the futurists, because they’re so busy with the present.”

Being overwhelmed with the present is all too easy when change is accelerating this rapidly. The good news is that with effort, you can learn to think like a futurist. Here’s how.

1. Expand Your Time Horizon

One of the first shifts to make when thinking like a futurist is to expand your time horizon. Most humans operate on a relatively short timeline—weeks, months, or a year or two ahead. Futurists, on the other hand, look five, ten, or even twenty years into the future. We help our clients ask strategic questions: What are the forces that could shape the world a decade from now? Which of these forces are most likely to impact our industry/organization? Where are the opportunities emerging, and how do we exploit them?

Futurist Peter Schwartz, author of The Art of the Long View, emphasizes looking beyond the immediate future and considering multiple time frames. Schwartz encourages leaders to look at emerging trends and societal issues, weak signals, and scenarios that might seem distant or far-fetched but could have profound impacts if they come to fruition. To adopt Schwartz’s long-view perspective, start by asking yourself: What will my profession/industry look like in 2035? What will customers want from us that today remain unarticulated? What new business models (Airbnb, Uber, SpaceX) might one day come to your industry? What technological shifts are redefining the competitive landscape?

2. Use Scenarios to Explore Alternate Futures

A staple of futurist thinking is scenario planning. This technique was pioneered by futurists such as Herman Kahn and popularized by companies like Royal Dutch Shell, who used it to anticipate the oil crises of the 1970s. Scenarios aren’t predictions; they’re plausible and detailed stories about different ways the future might unfold. The idea is to build a range of possible futures based on variables such as technology, consumer behavior, regulatory shifts, and geopolitical changes.

When using scenario planning, consider factors that are both uncertain and important. For instance, how would a widespread adoption of artificial intelligence impact your business? What would happen if geopolitical tensions between the United States and China escalate in our markets? What would the impact be on our supply chain?

Scenario planning is best done in cross-functional group settings, especially at offsites, free from distraction. I encourage my clients to imagine three to four distinct scenarios for how things will unfold: an optimistic scenario, a pessimistic, all-hell-break-loose scenario, a most likely-to-happen scenario, and a wildcard scenario. Next, I invite participants to think through how you and your organization will navigate each scenario environment should it materialize. Such exercises not only prepare you and your organization for multiple futures but also help in identifying opportunities and risks you may not have considered.

3. Revamp Your Information Diet (and Track Trends)

To think like a futurist, scan and monitor differently. Think about how you “consume” news and reports. Audit your “information diet,” and avoid reading the news for trivia and entertainment. Are you exposing your mind to the best thinkers on how, for example, innovations like AI, the climate crisis, and the rise of authoritarianism are altering the landscape?

Recalibrating your information diet will help you understand the driving forces of change, or what futurists Thomas Koulopoulos and Nathaniel Palmer call “Gigatrends,” important developments that will shape the future for billions of people. Trends are often misunderstood. A trend is not a fad or a blip on the radar; it’s a sustained, underlying force that, over time, will create fundamental change.

There are different types of trends to watch: social, technological, economic, environmental, political, and demographic (often referred to as STEEPD). Each of these trend categories can have multiple drivers and intersections with others.

One technique favored by futurist Amy Webb, author of The Signals are Talking, is trend mapping. Webb’s approach involves categorizing trends as either signals (early-stage indicators), patterns (when signals repeat), or movements (when they reach critical mass). By mapping these trends, you can visualize how they interact and predict where they might lead.

To get started with trend tracking, begin by regularly reading a diverse array of information sources that go beyond your industry’s usual publications. Attend conferences outside your field. Be curious about what’s happening in adjacent industries.

4. Seek Out Weak Signals

Weak signals are often subtle indicators of change—so subtle that they’re easy to overlook. Yet, they can be precursors to major disruptions. As futurist and scenario planning expert Joseph Voros puts it, weak signals are “seeds of the future.”

These can be new technologies that are still in experimental stages, social movements that haven’t hit the mainstream, or unexpected behaviors by new demographic segments. One way to spot weak signals is to look for anomalies—data points or events that don’t fit into the current understanding of your industry or market.

To get better at recognizing weak signals, develop a “peripheral vision” strategy. This involves scanning not just what’s in front of you, but what’s happening at the edges. What innovations are startups in your sector working on? What’s happening in markets that aren’t your primary focus? Keep a log of these signals and review them periodically to see if they’re gaining traction.

5. Cultivate a Cross-Disciplinary Mindset

Futurists rarely work in isolation. They’re skilled at synthesizing insights from multiple disciplines. They draw connections between technology and society, economics and politics, or psychology and design. Alvin Toffler, author of Future Shock, was known for his ability to weave together insights from various fields to present a coherent view of the future.

This cross-disciplinary mindset enables futurists to see patterns and implications that specialists might miss. To cultivate it, expose yourself to new fields of study. Read books and articles from disciplines you’re unfamiliar with. Attend workshops that are outside your usual areas of expertise. Ask, “What might a biologist, an economist, or a technologist see that I don’t?”

6. Challenge Assumptions

Perhaps most importantly, thinking like a futurist means challenging the status quo and questioning long-held assumptions. What are the unspoken assumptions that guide decision-making in your organization? What beliefs are holding you back from seeing new opportunities?

One powerful technique is to use “backcasting.” Instead of starting from the present and projecting forward, imagine it’s ten years from now, and you’ve achieved your most aspirational goals. Then work backward: What had to happen for you to get there? What obstacles did you overcome? What assumptions did you have to discard?

By incorporating these techniques and frameworks into your thinking, you’ll be well on your way to thinking like a futurist. You’ll be prepared not just to anticipate the future, but to shape it. The key is to stay curious, remain vigilant, and never stop questioning. After all, your future view is the future you.

This article originally appeared in Forbes
Image credit: Pexels

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The Singularity Is Coming Soon

Here’s What It May Mean

The Singularity Is Coming Soon

GUEST POST from Robert B. Tucker

In 2005, the futurist Ray Kurzweil predicted that by 2045, machines would become smarter than humans. He called this inflection point the “singularity,” and it struck a chord. Kurzweil, who’s been tracking artificial intelligence since 1963, gained a fanatical following, especially in Silicon Valley.

Now comes The Singularity is Nearer: When We Merge with A.I. where Kurzweil steps up the Singularity’s arrival timeline to 2029. “Algorithmic innovations and the emergence of big data have allowed AI to achieve startling breakthroughs sooner than expected,” reports Kurzweil. From winning at games like Jeopardy! and Go to driving automobiles, writing essays, passing bar exams, and diagnosing cancer, chunks of the Singularity are arriving daily, and there’s more good news just ahead.

Very soon, predicts Kurzweil, artificial general intelligence will be able to do anything a human can do, only better. Expect 3D printed clothing and houses by the end of this decade. Look for medical cures that will “add decades to human life spans” just ahead. “These are the most exciting and momentous years in all of history,” Kurzweil noted in an interview with Boston Globe science writer Brian Bergstein.

As a futurist myself, I applaud Kurzweil’s focus on a bright tomorrow. Kurzweil’s bestseller status is bringing attention to our craft. His well-documented and thought-provoking book urges us to set aside the media-infused doom and gloom of today’s headlines, and instead contemplate the abundance that advancing technology will bring about in the years ahead.

Futurists generally agree on the power of looking back in order to look ahead. Kurzweil overwhelms his reader with charts and graphs to argue that life has gotten better and better over time: longevity and literacy rates are improving. The number of people living on $2.15 per day is decreasing. People are working shorter hours. The internet delivers huge chunks of value for free. Tangible progress is occurring in areas as distinct as healthcare, education and democracy.

And with the Singularity arriving soon, life is just about to become exponentially better.

Yet Kurzweil largely omits discussion of ominous megaforces that are also on the horizon: the baked-in devastation of climate change, the scourge of economic inequality, political polarization, deepfakes and misinformation, the rise of “technofeudalism” and the very real possibility that the future will be controlled by a few monolithic companies such as Google, where Kurzweil resides as “chief researcher and A.I. Visionary.”

Kurzweil has little patience with such discussion. His eye is on the forward march of the human race over time. He wants to eradicate the limitations of todays brain. “My biological brain evolved for a very different kind of prehistoric life and predisposes me to habits that I would rather not have,” Kurzweil confesses. “I can’t reprogram it to free me of fears, traumas, and doubts that I know are preventing me from achieving what I would like to achieve.”

If more intelligence is better, and Kurzweil believes that it is, we need simply to create machines that make us smarter. But this is where his argument becomes problematic, controversial even. Kurzweil believes we get to the future by ingesting “nanobots,” microscopic-sized robots that can transport drugs, genes, and other payloads to specific locations in the body, such as diseased cells or tumors. Kurzweil’s nanobots will “go through your bloodstream and develop something in your brain that would talk to the web automatically.”

But will we want to ingest nanobots?

“The Singularity is Nearer did not persuade me that his AI-maximalist vision is coming close to fruition or that it would be desirable,” noted science writer Bergstein. “I see how AI could give our civilization greater intelligence to solve big problems like finding new medical cures. But I’m less sure that a lot of individual people will want so much more intelligence in their daily lives that they’ll implant computers inside their bodies.”

Another reviewer, Becca Rothfeld, writing in the Washington Post, noted a broader limitation, not only to nanobots, but to the Singularity vision of utopia: “Kurzweil is a refreshingly lucid expositor of complex technical concepts, but he suffers from the shape rotators (”engineers and programmers in Silicon Valley”) characteristic deficiency: an incapacity to recognize the limits of his own understanding.”

This article originally appeared in Forbes
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Top 10 Human-Centered Change & Innovation Articles of October 2023

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

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

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

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

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

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

Have something to contribute?

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

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

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What Pundits Always Get Wrong About the Future

What Pundits Always Get Wrong About the Future

GUEST POST from Greg Satell

Peter Thiel likes to point out that we wanted flying cars, but got 140 characters instead. He’s only partly right. For decades futuristic visions showed everyday families zipping around in flying cars and it’s true that even today we’re still stuck on the ground. Yet that’s not because we’re unable to build one. In fact the first was invented in 1934.

The problem is not so much with engineering, but economics, safety and convenience. We could build a flying car if we wanted to, but to make one that can compete with regular cars is another matter entirely. Besides, in many ways, 140 characters are better than a flying car. Cars only let us travel around town, the Internet helps us span the globe.

That has created far more value than a flying car ever could. We often fail to predict the future accurately because we don’t account for our capacity to surprise ourselves, to see new possibilities and take new directions. We interact with each other, collaborate and change our priorities. The future that we predict is never as exciting as the one we eventually create.

1. The Future Will Not Look Like The Past

We tend to predict the future by extrapolating from the present. So if we invent a car and then an airplane, it only seems natural that we can combine the two. If family has a car, then having one that flies can seem like a logical next step. We don’t look at a car and dream up, say, a computer. So in 1934, we dreamed of flying cars, but not computers.

It’s not just optimists that fall prey to this fundamental error, but pessimists too. In Homo Deus, author and historian Yuval Noah Harari points to several studies that show that human jobs are being replaced by machines. He then paints a dystopian picture. “Humans might become militarily and economically useless,” he writes. Yeesh!

Yet the picture is not as dark as it may seem. Consider the retail apocalypse. Over the past few years, we’ve seen an unprecedented number of retail store closings. Those jobs are gone and they’re not coming back. You can imagine thousands of retail employees sitting at home, wondering how to pay their bills, just as Harari predicts.

Yet economist Michael Mandel argues that the data tell a very different story. First, he shows that the jobs gained from e-commerce far outstrip those lost from traditional retail. Second, he points out that the total e-commerce sector, including lower-wage fulfillment centers, has an average wage of $21.13 per hour, which is 27 percent higher than the $16.65 that the average worker in traditional retail earns.

So not only are more people working, they are taking home more money too. Not only is the retail apocalypse not a tragedy, it’s somewhat of a blessing.

2. The Next Big Thing Always Starts Out Looking Like Nothing At All

Every technology eventually hits theoretical limits. Buy a computer today and you’ll find that the technical specifications are much like they were five years ago. When a new generation of iPhones comes out these days, reviewers tout the camera rather than the processor speed. The truth is that Moore’s law is effectively over.

That seems tragic, because our ability to exponentially increase the number of transistors that we can squeeze onto a silicon wafer has driven technological advancement over the past few decades. Every 18 months or so, a new generation of chips has come out and opened up new possibilities that entrepreneurs have turned into exciting new businesses.

What will we do now?

Yet there’s no real need to worry. There is no 11th commandment that says, “Thou shalt compute with ones and zeros” and the end of Moore’s law will give way to newer, more powerful technologies, like quantum and neuromorphic computing. These are still in their nascent stage and may not have an impact for at least five to ten years, but will likely power the future for decades to come.

The truth is that the next big thing always starts out looking like nothing at all. Einstein never thought that his work would have a practical impact during his lifetime. When Alexander Fleming first discovered penicillin, nobody noticed. In much the same way, the future is not digital. So what? It will be even better!

3. It’s Ecosystems, Not Inventions, That Drive The Future

When the first automobiles came to market, they were called “horseless carriages” because that’s what everyone knew and was familiar with. So it seemed logical that people would use them much like they used horses, to take the occasional trip into town and to work in the fields. Yet it didn’t turn out that way, because driving a car is nothing like riding a horse.

So first people started taking “Sunday drives” to relax and see family and friends, something that would be too tiring to do regularly on a horse. Gas stations and paved roads changed how products were distributed and factories moved from cities in the north, close to customers, to small towns in the south, where land and labor were cheaper.

As the ability to travel increased, people started moving out of cities and into suburbs. When consumers could easily load a week’s worth of groceries into their cars, corner stores gave way to supermarkets and, eventually, shopping malls. The automobile changed a lot more than simply how we got from place to place. It changed our way of life in ways that were impossible to predict.

Look at other significant technologies, such as electricity and computers, and you find a similar story. It’s ecosystems, rather than inventions, that drive the future.

4. We Can Only Validate Patterns Going Forward

G. H. Hardy once wrote that, “a mathematician, like a painter or poet, is a maker of patterns. If his patterns are more permanent than theirs, it is because they are made with ideas.” Futurists often work the same way, identifying patterns in the past and present, then extrapolating them into the future. Yet there is a substantive difference between patterns that we consider to be preordained and those that are to be discovered.

Think about Steve Jobs and Apple for a minute and you will probably recognize the pattern and assume I misspelled the name of his iconic company by forgetting to include the “e” at the end. But I could have just have easily been about to describe an “Applet” he designed for the iPhone or some connection between Jobs and Appleton WI, a small town outside Green Bay.

The point is that we can only validate patterns going forward, never backward. That, in essence, is what Steve Blank means when he says that business plans rarely survive first contact with customers and why his ideas about lean startups are changing the world. We need to be careful about the patterns we think we see. Some are meaningful. Others are not.

The problem with patterns is that future is something we create, not some preordained plan that we are beholden to. The things we create often become inflection points and change our course. That may frustrate the futurists, but it’s what makes life exciting for the rest of us.

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

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Thinking Like a Futurist

Thinking Like A Futurist

GUEST POST from Ayelet Baron

A CEO’s recent request for a workshop on Thinking Like a Futurist got me thinking. We all have the power to engage with the unknown and be active players in shaping our future.

Imagine being invited to attend an interactive workshop where you bring an item—real or conceptual—that might shape life two decades from now. What’s your “future artifact”?

Thinking like a futurist is not a guessing game. We become navigators with a vast imagination and curiosity. We observe, consider possible scenarios, and ask what it means for us. It’s about connecting today’s reality with a horizon full of opportunities; not problems to be solved.

We do more than just talk about the future. We connect with people from different backgrounds to get a full view of what’s coming. The goal is to highlight futures that make us want to be a part of them right away.

Being a futurist isn’t just about thinking; we spark action. We highlight opportunities that need our focus now, setting the stage for a healthy future for everyone. We lead in a way that combines tech with our human side. First comes our purpose, and the rest falls into place.

If life doesn’t improve for people, it won’t be because our machines are too smart or not smart enough. It will be because we quit dreaming big. If we ever stop imagining and creating, then we’re no different from machines.

Navigators of Possibilities

Business landscapes are evolving at a dizzying pace. The old playbooks no longer work and structures are falling apart. This is especially true when tech and systems mess with our mental health and keep unconscious leaders in place.

The way forward? Craft vibrant visions of the future and dive headfirst into experimentation. We’re not confined to notions of success or failure; it’s about exploring what comes to life when ideas turn into tangible creations that suppprt our wellbeing.

Being a futurist helps you see the big picture. Looking at many kinds of work and gathering ideas makes our view of the future richer. Waiting to see what the future brings? That’s like missing out on life.

We can take charge. When we know different ways the future could go, we can change course. Even if something unexpected happens, we’re ready for playing with the mystery of the unknown.

So why not envision a world where we’re all futurists? A world where we don’t dwell in the past but engage fully with the present, piloting new possibilities right here, right now.

Imagination is our window into the future. Advancing the edge of possibility means that someday, with our contributions, these visions of the future can become a reality.

Maybe each one of us in not only an architect of the future but also is here to be an architect of our own humanity.

Architects shape more than just buildings; they shape experiences. They create parks that invite community gatherings, libraries that become havens for thought, and community centers that encourage social bonds.

As an architect of humanity, we know what’s healthy and unhealthy for us so we create a healthy life.

Let’s focus on creating a future that nurtures our humanity, supports our values, and deepens our connections with each other. Opening doors wide to our future is crucial to thinking like a futurist.

Think a Futurist could help your organization thrive? Reach out to dive deeper into possibilities …

First published, 9.21.23 Daily Trek.

Image credit: Pexels

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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

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Is Futurology a Pseudoscience?

Is Futurology a Pseudoscience?

GUEST POST from Art Inteligencia

Futurology (aka Future Studies or Futures Research) is a subject of study that attempts to make predictions and forecasts about the future. It is an interdisciplinary field that draws from a variety of sources, including science, economics, philosophy, and technology. In recent years, futurology has become a popular topic of debate, with some arguing that it is a pseudoscience and others defending its validity as a legitimate field of study.

One of the main criticisms of futurology is that it relies on speculation and extrapolation of existing trends, rather than on scientific evidence or principles. Critics argue that this makes futurists’ predictions unreliable and that futurology is more of a speculative activity than a rigorous scientific discipline. They also point out that predictions about the future are often wrong, and that the field has had a reputation for making exaggerated claims that have not been borne out by the facts.

“Futurology always ends up telling you more about you own time than about the future.” Matt Ridley

On the other hand, proponents of futurology argue that the field has a legitimate place in the scientific community. They point to the fact that many futurists are well-educated, highly trained professionals who use rigorous methods and data analysis to make accurate predictions. These futurists also often draw on a wide range of sources, such as history, economics, and psychology, to make their forecasts.

Ultimately, the debate over whether or not futurology (aka future studies or futures research) is a pseudoscience is likely to continue. Some may see it as a legitimate field of study, while others may view it as little more than guesswork. What is certain, however, is that the field is still evolving and that the ability of futurists to accurately predict the future will be an important factor in determining its ultimate validity.

Do you think futurology is a pseudoscience?
(sound off in the comments)

And to the futurists and futurology professionals out there, what say you?
(add a comment)

Bottom line: Futurology and prescience are not fortune telling. Skilled futurologists and futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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Five Keys to Better Future Prediction

Five Keys to Better Future Prediction

GUEST POST from Art Inteligencia

With the dawn of 2023 our minds naturally gravitate towards wondering what the future holds and possibly even trying to predict the future.

But, predicting the future is an incredibly difficult task. It requires a combination of skills to make accurate predictions, including the ability to analyze trends, identify patterns, and think strategically. In this article, we’ll discuss the five key skills needed to accurately predict the future.

1. Trend Analysis: To make accurate predictions, you’ll need to be able to analyze trends and identify patterns. Knowing which trends are likely to continue, and which may be waning, is essential in predicting the future. Paying attention to changes in the market, technology, and other areas can help you identify patterns that could be important in predicting the future.

2. Strategic Thinking: Strategic thinking is an important skill for predicting the future. Being able to anticipate the consequences of certain events and decisions can be invaluable in predicting the future. Strategic thinkers are able to see how changes can affect the long-term, and can make informed decisions based on their analysis.

3. Data Analysis: Being able to analyze data is also essential for predicting the future. Data analysis allows you to identify patterns, trends, and correlations that provide insight into how the future could unfold. Knowing how to interpret data is key for making accurate predictions about the future.

4. Forecasting: Forecasting involves predicting future events and trends based on past data. This requires the ability to identify patterns and trends and use them to predict the future. Being able to accurately forecast future events and trends is essential for making predictions about the future.

5. Problem-Solving: Being able to solve problems is also essential for predicting the future. In order to make accurate predictions, you’ll need to be able to identify potential problems and develop solutions. This requires the ability to think critically and creatively.

Overall, predicting the future requires a combination of skills. Being able to analyze trends, identify patterns, think strategically, interpret data, forecast, and solve problems are all essential skills for making accurate predictions about the future. With practice and dedication, anyone can develop these skills and become better at predicting the future.

Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.

Image credit: Pixabay

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So You Want to Become a Futurist

So You Want to Become a Futurist

GUEST POST from Art Inteligencia

In a follow-up to my article What is a Futurist? I thought we could explore a bit more about what it takes to become a futurist.

As the world races towards a more digital future, the need for futurists to guide us through it grows more urgent. Futurists are professionals who study the current state of the world and make predictions about where we are heading. They can be found in all sorts of fields, from technology to finance to public policy. It is a complex and demanding job and learning to be a futurist involves a lot of hard work and dedication.

The first step in learning to be a futurist is to get an education. A degree in fields such as economics, international relations, or computer science can be helpful, as they will provide a strong foundation of knowledge in the areas that will be most important for a futurist to understand. Or you could jump straight in and check out one of the Top 5 Future Studies Programs. From there, aspiring futurists should focus on sharpening their analytical skills, as this will be a key part of their job. This can be done through courses, seminars, and other activities that hone their critical thinking and problem-solving abilities.

Beyond this, developing a deep understanding of the present is essential for a successful career as a futurist. Keeping up with the latest news and trends in the world is a must, as well as having an understanding of the history of the topics they are studying. Having a wide network of contacts in the field can also be invaluable. All of this will help futurists to be better prepared to make accurate predictions about the future.

At the same time, futurists should also strive to stay ahead of the curve in terms of technology and other emerging trends. Understanding the implications of new innovations and how they will shape the future is a critical part of a futurist’s job. Keeping up with the latest research and keeping an open mind to new ideas will be essential in this regard.

Finally, becoming a futurist also involves developing a unique perspective on the world. Futurists must be able to look at the world with a fresh set of eyes and think critically about the possibilities that lie ahead. They should be able to think outside the box and come up with creative solutions to the problems that we are likely to face in the future.

A career as a futurist is demanding but rewarding. If you build a strong educational background, sharp analytical skills, a deep understanding of the present, and the ability to think creatively about the future you too can become a futurist. In fact, with the right attitude and dedication, anyone can become a successful futurist!

Bottom line: Futurists are not fortune tellers. They use a formal approach to achieve their outcomes, but a methodology and tools like those in FutureHacking™ can empower anyone to be their own futurist.

Image credit: Pixabay

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