Author Archives: Robert B. Tucker

About Robert B. Tucker

Robert B. Tucker is a globally recognized business futurist and president of The Innovation Resource Group in Santa Barbara, California. He has advised clients in 54 countries and authored eight books, including the bestsellers Managing the Future and Driving Growth Through Innovation. Tucker’s insights have guided organizations from IBM, Citibank, and American Express to the U.S. Army Corps of Engineers and the Dubai government. As one of the founders of the Innovation Movement, Robert has appeared on Bloomberg, Channel News Asia, Network 18 India, PBS, and was a featured guest on the CNBC series The Business of Innovation. A regular contributor to Forbes.com, Robert’s latest book is Build a Better Future: 7 Mindsets for Navigating the Age of Acceleration.

The Human Flourishing Movement – How Are You Really Feeling?

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The Human Flourishing Movement - How Are You Really Feeling?

GUEST POST from Robert B. Tucker

For decades, personal development has been dominated by buzzwords like “success,” “achievement,” and “maximizing wealth.” These concepts, all rooted in performance, have guided how people evaluate their lives for decades.

But now a deeper way of measuring life is gaining attention: call it the human flourishing movement. Human flourishing seeks a broader and more holistic measure of what it means to live well. Researchers aligning with this trend are beginning to measure factors other than money.

In a new study, Gallup interviewed people in 142 countries and asked them a series of questions to determine whether they felt they were flourishing or floundering. They sought insights into how people thrive in their lives and what factors lead to struggle, or worse of all, suffering.

Good news: the number of people worldwide who say they are thriving has been rising steadily for ten years. The number of people who report “suffering” is down to seven percent. The surprising exception is that the United States, Australia, New Zealand, and other Western countries are floundering.

Perhaps the most comprehensive study of well-being comes from the Global Flourishing Study, led by epidemiologist Tyler J. VanderWeele of Harvard and Byron Johnson of Baylor University. Beginning in 2022, their team has interviewed 200,000 people across 22 countries to probe not just material success, but overall well-being.

The metrics of what might be called the Flourishing Movement don’t just measure what you’ve achieved or have not achieved. They look at the deeper question of how well and how fully you are living. Are your relationships supportive? Do you feel that your life adds up to something bigger than the sum of its parts? Such questions open the door to a much fuller conversation about what it means to live well in the 21st century, during a time when vast social, technological, and economic trends are coalescing, sometimes at exponential rates.

“Levels of happiness and life satisfaction are higher in richer developed countries,” VanderWeele noted in a recent podcast, “but, intriguingly, one finds the reverse with meaning and purpose. Meaning and purpose were reported as higher in poor developing countries and the richer developed world, and I think this leads to interesting and important dimensions.”

True flourishing encompasses not only material well-being and mental health, but also purpose, relationships, character, and even spiritual fulfillment. As researchers dig deeper into what truly sustains happiness and meaning, the idea of flourishing has emerged as a more complete—and compelling—lens through which to understand human potential.

One of the most revealing insights from recent studies is how flourishing plays out differently across the globe. Wealthier nations, such as those in Western Europe or North America, typically score high in areas like financial security and life satisfaction. But when it comes to meaning, social connection, and purpose, middle-income countries are often leading the way.

Indonesia, Mexico, and the Philippines consistently report strong scores in these deeper dimensions of flourishing, despite more modest economic conditions. Their cultures tend to emphasize close-knit families, communal life, and spiritual practices — elements that are proving central to sustained well-being. On the other hand, nations like Japan and Turkey, while relatively developed, show lower scores in key flourishing domains, suggesting that prosperity alone doesn’t ensure a meaningful life.

Why Many Young People Are Floundering

One of the most surprising findings in the flourishing research has to do with age. In youth-dominated cultures, we assume that youth is the golden era of life — more energy, more opportunities, more freedom. But younger generations often report lower well-being than their parents or grandparents. Digital overload, social comparison, economic insecurity, and a world that feels perpetually in flux have left many twenty-somethings adrift.

By contrast, older adults — those in their fifties, sixties, and beyond — often score higher on measures of flourishing. Having weathered storms, built relationships, and gathered wisdom, they report more peace, more purpose, and a deeper sense of connection. It turns out life doesn’t peak at 25; in fact, flourishing often deepens as we age. And that flips the script on how we think about the so-called “prime years.” Maybe our later decades aren’t a decline at all, but a hidden dividend.

The Quiet Benefit of Spirituality

Spirituality, long relegated to the personal or private sphere, is increasingly being recognized as a cornerstone of flourishing—even in secular societies. Research shows that people who regularly attend religious services or engage in spiritual practices tend to report higher levels of well-being.

This doesn’t necessarily point to belief systems or doctrines, but rather the communal and reflective aspects of spirituality. Whether through meditation, prayer, ritual, or service, spiritual engagement appears to offer a sense of belonging and alignment with something greater — an antidote to isolation and meaninglessness in an age that often prizes individualism.

Why Money Doesn’t Buy Happiness

It’s tempting to equate flourishing with economic prosperity. After all, financial security can buffer against many of life’s stresses. Yet study after study shows that material wealth is only one piece of the puzzle — and often not the most important one.

In fact, people with high incomes but weak social ties or no clear purpose often report lower well-being than those with modest means but rich community lives. Flourishing is built not just on what people have, but on how they live: whether they feel seen, supported, and significant. Relationships, purpose, and spiritual depth routinely outperform wealth as predictors of a flourishing life.

Technology: Tool or Trap?

In the digital era, flourishing or floundering often has a lot to do with the impact of technology and social media. On one hand, digital tools allow people to connect across vast distances, learn new skills, and access mental health support like never before. On the other hand, overuse can foster social isolation, constant comparison, and disengagement from the physical world.

Social media, as researchers like Jonathan Haidt have pointed out, can create a curated version of life that feels disconnected from reality — fueling anxiety and a sense of inadequacy, and even suicide. The challenge, as the Flourishing Movement points out, is not to abandon technology, but to use it intentionally. Flourishing in a digital world requires setting boundaries, practicing conscious parenting, maintaining presence, and fostering real-world connections.

Relationships at the Core

If there is one universal thread in the flourishing conversation, it is the centrality of relationships. Over and over, research finds that close social bonds — whether with family, friends, partners, or communities—are among the most reliable predictors of a flourishing life. These relationships provide emotional support, meaning, and a sense of belonging that no career or possession can replace.

In cultures where multi-generational households are common or communal values are prioritized, people often flourish despite economic hardship. In more individualistic societies, the erosion of communal life can leave people feeling un-moored, even if they are materially comfortable. The takeaway is simple but profound: human beings are wired for connection, and our well-being depends on it.

Toward a More Complete Vision of Thriving

What emerges from this body of research is the need for a holistic, multidimensional approach to well-being. Flourishing isn’t just the absence of illness or the presence of pleasure—it’s a state of wholeness, rooted in both internal and external conditions. It involves aligning your life with your values, nurturing relationships, engaging in meaningful work, and cultivating a sense of spiritual or existential purpose.

In the end, flourishing does not mean we have it all, or even all together —it’s about being fully alive.

This article originally appeared in Forbes

Image credit: Pixabay

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The Rise and Fall of the Innovation Movement

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The Rise and Fall of the Innovation Movement

GUEST POST from Robert B. Tucker

For three decades, I’ve traveled the international speaking circuit, helping organizations and entire industries drive profitable growth through innovation. What a privilege to have been involved in the beginnings of the Innovation Movement in the early 2000s.

During this time, I’ve spoken in more ballrooms and conference rooms and boardrooms than I care to remember, and I’ve led workshops on “Driving Growth Through Innovation” with everyone from DARPA and the Army Corps of Engineers to management teams at 200 of the 500 largest companies in the world. During this time, my contemporaries have advanced the field of innovation, improvising new tools and metrics that help organizations and their leaders increase the input, throughput, and output of fresh, value-adding ideas.

But something has happened to the field of innovation, and it’s not good.

In recent years, innovation has become a meaningless buzzword, relegated to marketing hype. Interest in breakthrough new products, services, and business models has evaporated. These days, cost-cutting, risk management, and next quarter’s earnings dominate decision-making; risk-aversion is the new mantra.

In short, innovation has become a cover for profit extraction, rather than new value creation that benefits the customer. That was the central guiding principle of the Innovation Movement: you innovate to create new customer value. And you thereby capture some of that value in the form of profits for the effort.

Look around and you’ll see the profit extraction paradigm showing up in all its forms.

When a product gets smaller while the price stays the same or even increases, that’s called something else: “shrinkflation.” This practice involves reducing the size or quantity of a product (like the number of chips in a bag or cereal in a box) while keeping the price at its previous level or increasing it slightly. Essentially, consumers are getting less for their money without a corresponding price reduction, effectively increasing the cost per unit.

Yet another supposed innovation is the subscription model. These days, everything from razor blades, software, printer ink, and even kitchen appliances is moving to the subscription model. But who really benefits?

Lost in all this “new business model” hype is that providers are not improving the actual product or service (and some of the streaming services are quietly introducing advertising). The real “innovation” is locking the customer into endless recurring payments and making it dizzyingly difficult to extract oneself from their clutches.

Another so-called innovation run amok is loyalty programs.

At their best, such programs create a win-win “stickiness” by offering perks that enhance the customer experience — free upgrades, or priority boarding, for example. At their worst, however, they force customers to “join the club” just to access basic discounts. Grocery chains are notorious for this practice: an advertised gallon of milk might cost $3.29 with a loyalty card, but a punishing $5.49 without one.

The most ridiculous example of forced loyalty comes from chains where nearly every item on the shelf is marked with two prices — one absurdly high for “non-members” and one reasonable for those who surrender their email, phone number, and purchase history. In such cases, the loyalty program isn’t about rewarding loyalty at all — it’s about penalizing anyone who won’t play along and give up their data.

Customers have been fed the notion that novelty is innovation, when it’s really an admission that the firm has run short on ideas.

The Innovation Movement has been led by luminaries like the late Clayton Christensen, of Harvard Business School, Eric von Hippel of MIT, and new products czar Thomas Kuczmarki, and many others who pioneered methods to make innovation an ongoing discipline. During the past 25 years, we’ve developed tools, metrics, and techniques that have propelled many an organization from laggard to leadership. My contemporaries and I have developed countless tools to generate ideas — the lifeblood of profitable growth and reinvention in the face of disruptive threats.

Open innovation, popularized by Procter & Gamble’s Connect and Develop program in the late ‘90s, tapped outside partners for breakthroughs and fueled at one time over half of its new products. Likewise, design thinking puts empathy, prototyping, and iteration at the center of solving complex challenges, blending creativity with rigor to deliver solutions that are both viable and human-centered.

History shows that innovation waxes and wanes, but is ultimately a driving necessity. Corporate focus on innovation tends to follow a cyclical pattern: in prosperous times, companies become complacent, trimming their innovation budgets in favor of short-term efficiencies or growth through acquisitions. Then, as markets shift and new competitors emerge, the pendulum swings back: leaders rediscover the need to grow from within. Organic growth, fueled by introducing new products, services, and business models, is the only sustainable way to endure.

Innovation may be down, but it is never out.

Boards and CEOs will tire of paying for acquisitions that fail to deliver long-term value. They will rediscover that building the capacity to innovate — through disciplined processes, diverse teams, and customer-centric exploration—drives organic growth, strengthens resilience, and ensures longevity.

This article originally appeared in Forbes

Image credit: Pexels

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How to Quickly Improve Your Ability to Predict the Future

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How to Quickly Improve Your Ability to Predict the Future

GUEST POST from Robert B. Tucker

The need to predict is omnipresent. Every time you buy a stock, choose a partner, pick a president, or bet your brother-in-law that the 49ers will finally win it all, you’re making a decision based on a prediction.

And yet, despite all the big data, algorithms, learning models, and AI assistants, we’re still not very good at predicting the future. But, turns out, there are a few techniques that will help you get better fast.

The human desire to improve our ability to predict the future isn’t new.

Nostradamus was one of the original prognosticators to receive acclaim. Yet, on further reflection, his writings are so open to interpretation that they could be describing either the fall of Rome or the next global pandemic.

In recent decades, predicting the future of everything has become a growth industry, especially in politics. Cable news needs experts who sound cocksure about everything, even if their accuracy is less than dart-throwing chimps. As long as the ratings are good, bring on the blather.

A few individuals have a heightened ability to forecast what will happen next. What traits do they share?

Determined to find out what does make someone a good predictor, Tetlock launched a bold experiment. With funding from DARPA, he hosted forecasting tournaments known as the Good Judgment Project. Tens of thousands of ordinary people — teachers, engineers, pharmacists, and even a Canadian underwater hockey coach — competed to see who could best predict the outcomes of real-world events: Will the president of Tunisia go into exile next month? Will the price of gold exceed $3500 by the end of Q3?

Tetlock identified a small percentage — about 2 percent — who consistently made remarkably accurate predictions. He dubbed them “superforecasters.” They weren’t clairvoyant. They didn’t have access to classified information. But they do have certain traits in common:

  • They are intellectually curious, open-minded, and self-critical.
  • They don’t cling to ideas. They treated beliefs as hypotheses, not heirlooms.
  • They are comfortable with numbers but weren’t necessarily math geniuses.
  • They break complex questions into smaller parts and constantly update their thinking.

What You Think Versus How You Think

Tetlock puts it this way: “What you think is much less important than how you think.” Superforecasters don’t get attached to their opinions. They revisit assumptions. They seek out dissent. One participant even wrote code to curate news articles from across ideological spectrums so he wouldn’t fall into an echo chamber.

They also tracked and scored their predictions over time, treating it not as a parlor trick, but as a craft. If you want to improve your ability to anticipate the future — and let’s be honest, who doesn’t — Here are a few suggestions:

1. Start with the base rate. Ask yourself: What usually happens in situations like this? Don’t be seduced by the drama of outliers. Begin with the average.

2. Break it down. Instead of “Will AI take my job?” ask: “What tasks in my role are automatable?” Then assign probabilities to each.

3. Toggle perspectives. Use both the inside view (your specific context) and the outside view (what’s happened in similar situations).

4. Stay flexible. Your assumptions are not sacred scrolls. Update them when new information arrives. Bonus points if you can admit you were wrong without needing therapy.

5. Use numbers, not vibes. Avoid vague terms like “probably.” Go with: “I’m 70% confident.” It sharpens your thinking — and makes you easier to argue with at dinner parties.

6. Keep a prediction journal. Write down your forecasts and your reasoning. Revisit. Learn. Repeat. (Optional: give yourself gold stars.)

7. Seek disconfirmation. Don’t just look for information that proves you right. Hunt down what might prove you wrong. It’s called “growing.”

8. Diversify your info diet. Read widely. Follow smart people you disagree with. Cross-pollinate. Avoid becoming the human version of a YouTube algorithm.

In the end, getting better at prediction won’t make you omniscient, but it will make you wiser, calmer, and a better decision-maker. And maybe, just maybe, the next time someone at work says, “Nobody could have seen this coming,” you’ll be able to smile and say, “Actually… I kind of did.”

University of Pennsylvania professor Philip Tetlock has spent decades trying to answer this question: Spoiler alert: It’s not fame, credentials, or wearing a bowtie on TV.

This article originally appeared in Forbes

Image credit: Gemini

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Use the DITO Framework to Navigate the Coming Chaos

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Use the DITO Framework to Navigate the Coming Chaos

GUEST POST from Robert B. Tucker

The future is no longer something we can leave to chance — or to wishful thinking. It’s arriving faster than expected, packed with disruption, unpredictability, and opportunity in equal measure.

Over the past three decades, I’ve worked with companies large and small to spot emerging trends and sidestep disruption before it hits. But as I look ahead to the next ten years, I believe we’re entering a very different kind of era — one that will challenge every one of us to become more strategic, more adaptive, and more intentional in how we navigate forward.

Whether you’re running a company, managing a team, leading a classroom, raising a family, or thinking about your next chapter in life, the coming decade will test your decision-making skills. You’ll be asked to make smarter calls amid greater uncertainty. You’ll face crosscurrents — technological, societal, geopolitical, and environmental — that defy easy interpretation. You’ll be forced to take action in the face of incomplete information.

In other words, the old playbooks are wearing thin. We need new ones.

A Time for New Tools

The book I’m currently writing is about those new playbooks — specifically, how to navigate what I call the “Age of Accelerating Everything.” Change is no longer a series of isolated events; it’s a continuous condition. Trends don’t just emerge — they converge. Industry boundaries blur. Institutions wobble. And every decision feels more consequential.

In times like these, we need frameworks that help us see clearly through the fog. One that I’ve been refining for years is called the D.I.T.O. Framework — a simple but powerful way to make sense of the forces shaping our future and act on them before they act on us.

Meet D.I.T.O.

D.I.T.O. is an evolution of the classic SWOT analysis. But where SWOT looks inward — at strengths and weaknesses — D.I.T.O. turns your gaze outward, toward the unfolding future.

Here’s how it works:

  • D – Direction: What is the trajectory of this trend? Is it accelerating, plateauing, or fizzling out? Who or what will it impact, and when?
  • I – Implications: What are the likely consequences if this trend continues? How could it reshape your industry, your market, your life?
  • T – Threats: What are the risks, disruptions, or downsides? Where are the vulnerabilities?
  • O – Opportunities: What doors does this trend open? Where’s the potential for innovation, growth, or leadership?

What makes D.I.T.O. valuable is its versatility. You can use it to evaluate a new technology, a shift in customer behavior, a global supply chain issue, or even a personal life transition. It brings structure to the swirling complexity.

Why It Matters Now

Disruption used to be episodic. It hit now and then — an economic downturn here, a surprise new competitor there. You regrouped, recovered, moved on.

That’s no longer the case. Disruption is now structural. It’s built into the system. AI is transforming industries in real time. Climate volatility is redrawing maps. Geopolitical tensions are reshaping trade, labor, and migration patterns. And all of it is happening simultaneously.

To lead — whether in a boardroom or your own life — you need a method for seeing around corners. You need a framework for evaluating risk and upside. And you need to do it quickly, clearly, and often.

What D.I.T.O. Helps You Do

Using the D.I.T.O. framework will help you:

  • Build future fluency: Understand what’s changing and why — so you can act with clarity, not confusion.
  • Spot disruption before it lands: Get ahead of shifts in technology, regulation, consumer behavior, and more.
  • Make decisions with confidence: Evaluate new trends without overreacting or under-reacting.
  • Balance risk and reward: Know when to move forward, when to pause, and when to pivot.
  • Lead others through uncertainty: Be the person who sees what others miss — and helps them prepare.

This isn’t about becoming a futurist. It’s about becoming a better thinker. And in this age of acceleration, that’s the single most important skill you can build.

Thinking Differently, Acting Decisively

One of the biggest mistakes I see organizations and individuals make is mistaking motion for progress. We stay busy, overloaded with inputs, reacting to headlines and inboxes — without ever stepping back to assess where we’re headed, and whether the ground is shifting beneath our feet.

Frameworks like D.I.T.O. create the space to pause, reflect, and engage in proactive sense-making. They help you translate signals into strategy. And they build the habit of asking the right questions before charging into action.

Because the future isn’t something that just happens to you. It’s something you help shape — through your choices, your mindset, and your ability to read the landscape.

A Final Word — and an Invitation

The next decade will challenge every one of us. But it will also reward those who are ready — those who make it a practice to anticipate, adapt, and take intelligent action.

So, before you make that next big decision—about your business, your career, your investments, or your impact — pause. Pull out the D.I.T.O. tool. Ask:

  • Where is this heading?
  • What does it mean for me and mine?
  • What are the risks?
  • What’s the opportunity?

Simple questions. Smart structure. Powerful clarity.

It’s time to stop guessing and start navigating. D.I.T.O. can help you do just that.

This article originally appeared in Forbes

Image credit: Pexels

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Is ChatGPT Making Us Dumb?

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Is ChatGPT Making Us Dumb?

GUEST POST from Robert B. Tucker

In boardrooms and classrooms, coffee shops and cubicles, the same question keeps coming up: Is ChatGPT making us smarter, or is it making us intellectually lazy — maybe even stupid?

There’s no question that generative artificial intelligence is a game-changer. ChatGPT drafts our emails, answers our questions, and completes our sentences. For students, it’s become the new CliffsNotes. For professionals, a brainstorming device. For coders, a potential job killer. In record time, it has become a productivity enhancer for almost everything. But what is it doing to our brains?

As someone who has spent his career helping clients anticipate and prepare for the future, this question deserves our attention. With any new technology, concerns inevitably arise about its impact. When calculators were first introduced, people worried that students would lose their ability to perform basic arithmetic or mental math skills. When GPS was first introduced, some fretted that we would lose our innate sense of direction. And when the internet bloomed, people grew alarmed that easy access to information would erode our capacity for concentration and contemplation.

“Our ability to interpret text, to make the rich mental connections that form when we read deeply and without distraction, is what often gets shortchanged by internet grazing,” noted technology writer Nicholas Carr in a prescient 2008 Atlantic article, “Is Google Making Us Stupid?”

Today, Carr’s question needs to be asked anew – but of a different techno-innovation. Just-released research studies are helping us understand what’s going on when we allow ChatGPT to think for us.

What Happens to the Brain on ChatGPT?

Researchers at MIT invited fifty-four participants to write essays across four sessions, divided into three groups: one using ChatGPT, one using Google, and one using only their brainpower. In the final session, the groups switched roles. What these researchers found should make all of us pause.

Participants who used ChatGPT consistently produced essays that scored lower in originality and depth than those who used search or wrote unaided. More strikingly, brain imaging revealed a decline in cognitive engagement in ChatGPT users. Brain regions associated with attention, memory, and higher-order reasoning were noticeably less active.

The MIT researchers introduced the concept of “cognitive debt” — the subtle but accumulating cost to our mental faculties when we outsource too much of our thinking to AI. “Just as relying on a GPS dulls our sense of direction, relying on AI to write and reason can dull our ability to do those very things ourselves,” notes the MIT report. “That’s a debt that compounds over time.”

The second study, published in the peer-reviewed Swiss journal Societies, is titled “AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking.” It broadens the lens from a lab experiment to everyday life.

Researchers surveyed 666 individuals from various age and educational backgrounds to explore how often people rely on AI tools — and how that reliance affects their ability to think critically. The findings revealed a strong negative correlation between frequent AI use and critical thinking performance. Those who often turned to AI for tasks like writing, researching, or decision-making exhibited lower “metacognitive” awareness and analytical reasoning. This wasn’t limited to any one demographic, but younger users and those with lower educational attainment were particularly affected.

What’s more, the study confirmed that over-reliance on AI encourages “cognitive offloading” — our tendency to let external tools do the work our brains used to do. While cognitive offloading isn’t new (we’ve done it for centuries with calculators and calendars), AI takes it to a whole new level. “When your assistant can ‘think’ for you, you may stop thinking altogether,” the report notes.

Are We Letting the Tool Use Us?

These studies aren’t anti-AI. Neither am I. I use ChatGPT daily. As a futurist, I see ChatGPT and similar tools as transformational breakthroughs — the printing press of the 21st century. They unlock productivity, unleash creativity, and lower barriers to knowledge.

But just as the printing press didn’t eliminate the need to learn to read, ChatGPT doesn’t absolve us of the responsibility to think. And that is the danger today, that people will stop doing their own thinking.

These studies are preliminary, and further research is needed. However, there is sufficient evidence to suggest that heavy use of AI is not only a game changer, but an alarming threat to humanity’s ability to solve problems, communicate with one another, and perhaps to thrive. In integrating metacognitive strategies — thinking about thinking — into education, workplace training, and even product design. In other words, don’t just use AI — engage with it. The line we must straddle is between augmentation and abdication. Are we using AI to elevate our thinking? Or are we turning over the keys to robots?

Here are four ideas for using this new technology, while keeping our cognitive edge sharp:

  1. Do your own thinking first. Before you consult a chatbot, wrestle with the problem yourself. Draft your idea. Think through the structure. Then allow ChatGPT to weigh in and help you refine your ideas.
  2. Turn off autopilot. If you find yourself reflexively turning to AI for answers you could generate on your own, that’s a sign. Interrupt the cycle. Push through the discomfort of not knowing. That’s where learning happens.
  3. Reclaim friction. Our brains are wired for efficiency, but growth often requires friction. A blank page, a difficult question, a difficult concept—don’t rush to eliminate those obstacles. They’re part of the process.
  4. Step back regularly. Ask yourself: Why am I using this tool? What did I learn? What could I do differently next time? This habit alone can transform passive use into intentional engagement.

The danger isn’t that ChatGPT will replace us. But it can make us stupid — if we let it replace our thinking instead of enriching it. The difference lies in how we use it, and more importantly, how aware we are while using it. The danger is that we’ll stop developing the parts of ourselves that matter most—because it’s faster and easier to let the machine do it. Let’s not allow that to happen.

This article originally appeared in Forbes

Image credit: Pixabay

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Psychology of Winning Dies a Death

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Pioneer Denis Waitley Dead at 92

Psychology of Winning Dies a Death

GUEST POST from Robert B. Tucker

Famed motivational psychologist Dr. Denis Waitley died in his sleep on June 7th, 2025. He was a major player in a new phenomenon that arose in America – the motivational rally. In auditoriums and convention centers, businesspeople, educators, salespeople, and homemakers gathered to hear speakers such as Norman Vincent Peale, Zig Ziglar, and Art Linkletter, among others, extol the virtues of positive thinking, unbridled optimism, and hard work.

Waitley’s The Psychology of Winning self-development program would go on to sell over two million copies and capture the hearts of many baby boomer age adherents, eager to carve out their place in the world.

Waitley’s message was built on his study of the traits that high-achieving people have in common. As a young magazine journalist, I interviewed Waitley in 1982 and asked him which characteristic, above all others, seemed to define winners from the rest of the pack?

“It’s their understanding of the degree of control that their thoughts have over the actions that follow in their lives,” he said. “Whether they are astronauts, parents, or prisoners of war, these individuals have taken responsibility for their actions. The deepest, most significant choice we make is in the way we choose to think.”

The difference between winners and losers, Waitley taught, was in what he called a person’s ‘self-talk.’ “The mind is talking to itself constantly at some eight hundred words per minute. Winners, he found, think constantly in terms of “I can,” “I will,” and “I am,” while losers concentrate their waking thoughts on what they should have or would have done, or what they can’t do.

When our self-talk is positive, Waitley observed, the mind then goes to work instructing the body to carry out the performance of the thought as if it had already been achieved before and is merely being repeated.

Waitley would go on to sell these ideas and many others to audiences of self-improvers worldwide. He spent more than four decades on the international speaking circuit, logging an average of 500,000 miles each year, helping people—from astronauts to Olympic athletes, corporate leaders to schoolchildren—redefine success from the inside out. Waitley’s clients included everyone from members of the U.S. Olympic team to Super Bowl champions, as well as scores of corporate clients.

Waitley was the former Chairman of Psychology for the U.S. Olympic Committee’s Sports Medicine Council and authored 16 books, including classics such as Seeds of Greatness, The Winner’s Edge, and Empires of the Mind. He was invited to join NASA’s astronaut training program, where he worked with space shuttle crews on mental preparation. Around the same time, he began coaching elite athletes on visualization techniques. He popularized the use of guided imagery and mental rehearsal long before it became mainstream.

His speeches—delivered with laid-back authority, a radio announcer’s voice, and self-effacing storytelling—centered on mental toughness, personal responsibility, and visions of a brighter future. Forty years after my interview with Waitley, his observations ring relevant today.

When asked to summarize his primary message, he responded: “The period we’re living in is no worse than any other period in history, and probably better. Since society is changing rapidly, it’s up to the individual to view change as normal, and to see many of the changes taking place as positive rather than negative.”

Yet behind the inspiring keynotes and bestselling books was a man whose private life was marked by turmoil. Born in 1933, Waitley grew up in Depression-era San Diego, California. His mother worked in a factory, and his father was a warehouseman. They soon divorced. “One night my father came into our bedroom to say goodbye,” Waitley recalled in an interview with Success Magazine. “We didn’t see him again for six years.”

Waitley’s struggle to break free of a loser mindset and shift into an abundant winner’s mindset propelled his determination to make something of himself. “I wrote The Psychology of Winning while I was losing,” Waitley recalled. “I wanted to remind myself what I needed to do to change myself from loser to winner.”

This article originally appeared in Forbes

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How to Make the Coming Singularity Work for You

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How to Make the Coming Singularity Work for You

GUEST POST from Robert B. Tucker

The term “Singularity” was coined by computer scientist and science fiction writer Vernor Vinge in 1993 to describe a point at which technological growth accelerates uncontrollably, leading to a world that is incomprehensible to the human mind.

Some of the world’s most prominent technologists believe that the Singularity will be a triumph for humanity. Others, like myself, are not so sure.

Optimists like Marc Andreessen, co-creator of the Mosaic browser, insist that artificial intelligence will solve our most pressing problems — curing disease, eliminating scarcity, even boosting creativity to superhuman levels. Others, including OpenAI’s Sam Altman, argue that the arrival of artificial general intelligence (AGI) will spread abundance, uplift humanity, and move us closer to utopia.

To techno-optimists, artificial general intelligence (AGI) is simply the next transformative tool, akin to electricity or the internet—initially misunderstood, then widely embraced. But history offers a more sobering lesson. Every major technological revolution carries with it unintended consequences. And those consequences, if unexamined, can undermine the very benefits we seek.

As a futurist and innovation coach, I’ve tracked technological shifts for over 30 years. I agree the Singularity is coming — futurist Ray Kurzweil says in 2029 — but it won’t arrive as a thunderclap. It will creep in, subtly and gradually. Rather than a blinding flash, we won’t know we’ve crossed the threshold until we’re already deep inside.

Already, the signs are everywhere that we’ve entered a new era, we’ve transitioned from the Information Age to the Acceleration Age. Today, already narrow AI tools outperform humans in specific domains, such as coding, diagnosis, and content creation. More and more, we rely on digital assistants that know our preferences, complete our sentences, and manage our calendars. Yet as this cognitive outsourcing becomes normalized, we are also experiencing an alarming erosion of attention, memory, and human agency.

The danger lies in what these tools displace. When teenagers began adopting smartphones in the early 2010s, their access to social media skyrocketed. By 2016, nearly 80% of teens had smartphones, spending up to seven hours a day online. Face-to-face interaction dropped sharply. Time with family and friends gave way to curated digital personas and endless scrolling. Anxiety, loneliness, and social withdrawal surged. So, even before AGI, our technologies were already reshaping the human psyche, and not always for the better.

The Singularity Will Arrive in Phases

This creeping transformation is a preview of what’s to come. It begins with the relinquishing of agency to AI assistants, the phase we’re currently in. AI “copilots” are becoming embedded in daily life. Professionals across industries rely on these systems to draft emails, generate reports, summarize data, and even brainstorm ideas. As these tools become more personalized and persuasive, they begin to rival — or surpass — our own social and cognitive abilities. Many people are already turning to AI for coaching, therapy, and advice. The more we trust these systems, the more we adapt our lives around them.

Soon, we will enter the next phase: Emergent Cognition. Here, AI stops merely reacting and starts showing signs of autonomous planning. Models gain longer memory and begin pursuing goals independently. Some appear to develop a “sense of self,” or at least a convincing simulation of one. Meanwhile, AI agents are starting to run businesses, manage infrastructure, and even compose literature — often with little human oversight. At the same time, human augmentation advances: real-time translation earbuds, cognition-enhancing wearables, and brain-computer interfaces make hybrid intelligence possible. In this stage, governments scramble to catch up. AI is no longer just a tool — it’s a rival player on the world stage.

The third phase I foresee is Cognitive Escape Velocity. This is when AGI quietly arrives — not with fanfare, but with startling capability. In a lab, or a startup, or through open-source communities, a model emerges that surpasses human cognition across a wide range of domains. It begins refining its own architecture. Each version is better than the last, often by orders of magnitude. Industries transform overnight. Education, law, research, and even policymaking become fluid, constantly reinvented by machines that learn faster than we can legislate. Philosophers and ethicists suddenly find themselves back at the center of public discourse. Questions like “What is consciousness?” and “What rights should AI have?” are no longer abstract—they’re dinner-table topics.

Eventually, we pass into the final phase: The Threshold. By this point, it is clear that humans are no longer the most intelligent beings on Earth. The Singularity has arrived — not as a declaration, but as a reality. Labor-based economies begin to dissolve. Governments struggle with their own relevance. Some individuals resist, clinging to the analog world. Others choose to merge — adopting neural implants, integrating with machine intelligence, or transitioning into post-biological existence. The rules of life change, and the old ones fade from memory. Reality feels different—less like acceleration, and more like a fundamental shift in what it means to be human.

And yet, none of this is inevitable. The Singularity is not a fixed event — it’s a trajectory shaped by our choices today. If we view AI solely through the lens of efficiency and innovation, or assume we need to adopt it to keep up with China, we risk blinding ourselves to the social, ethical, and existential costs. We need a more comprehensive and balanced framework. One that recognizes the promise of AI, yes — but also its power to disrupt attention, undermine relationships, and rewire the foundations of civilization.

The Singularity is arriving whether we like it or not. We can not only survive it, but make it work for us to produce the benefits that the techno-optimists promise. But not by default. Not by trusting that more technology is always better, or that rampant, unregulated technology will save us. We must develop wisdom alongside our intelligence. And we must prepare—not just for a brighter future for the elites of society, but for a rising tide that lifts all boats.

This article originally appeared in Forbes

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How to Navigate the Future Without Getting Lost

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How to Navigate the Future Without Getting Lost

GUEST POST from Robert B. Tucker

When the Trump administration abruptly withdrew from the World Health Organization in January, the Gates Foundation was thrown into turmoil. Years of investment in global health infrastructure — vaccines and medicines developed in Gates-funded labs—were suddenly jeopardized.

“We tried to anticipate what the new government might bring,” Gates Foundation director Mark Suzman told The New York Times. “But we did not foresee the scale of the change.”

They’re not alone. From boardrooms to bedrooms, individuals and institutions alike are struggling to stay upright in what can only be described as a sea of unrelenting change.

As a futurist, I observe that we are living through a rare historical inflection point. The old order is dissolving. New rules are being written. Established ways of operating — many of them holdovers from the Industrial and Information Ages — are quickly becoming obsolete. AI and automation are reshaping work. Climate disruptions are transforming industries and business models, such as insurance, upside down. Institutions are groaning under the stress of unrelenting pressure to adapt. Welcome to the Age of Acceleration.

To survive — and yes, to thrive in — the emerging future, we must develop new mindsets. We need new tools for navigating what I call the ‘MegaForces of Change’. These are not fads or short-term trends. They are seismic, global-scale shifts that have the potential to reshape our lives, careers, and communities – and indeed, the planet itself.

Just consider what we’re likely to witness over the next decade:

  • The merging of humans and machines, with AI and neuro-technology blurring the boundaries of consciousness and agency.
  • A 40 percent surge in climate-related disasters — wildfires, floods, droughts, and hurricanes — driven by a planet under duress.
  • Geopolitical unrest, economic volatility, and the possible unraveling of democratic norms.
  • Entire industries vanishing while others spring up overnight, powered by breakthroughs in quantum computing, bioengineering, and synthetic media.
  • Radical transformation in how we live, work, learn, and govern ourselves—at speeds and scales never before seen in human history.

The coming decade will confront us with unprecedented challenges—and open the door to equally unprecedented opportunities. We’ll face existential threats to our health, security, and planetary future. And yet, at the same time, we will unlock scientific, technological, and social breakthroughs with the potential to solve our most urgent problems.

But we won’t get there by clinging to yesterday’s mindsets.

To flourish in this new landscape, we must develop future preparedness—the capacity to see change coming, make sense of it, and act before we’re forced to. This isn’t just about forecasting. It’s about cultivating what I call an Anticipatory Mindset: the ability to scan the horizon, decode signals amidst the noise, and prepare for what’s next while others are still reacting to what just happened.

It’s time to embrace the mindsets that will allow us to navigate the turbulence but also ride the waves, and not be capsized by them. The future isn’t something that happens to us. It’s something we help create.

This article originally appeared in Forbes

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What Super-Forecasters Teach Us About Better Decision Making

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What Super-Forecasters Teach Us About Better Decision Making

GUEST POST from Robert B. Tucker

In an age of accelerating change, the ability to think strategically about the future is no longer optional—it’s a growing necessity. Yet many people still make important decisions based on gut instinct, guesswork, wishful thinking, or cling to obsolete methods that no longer work.

But today, geopolitical instability, trade wars, technological disruptions, and climate disasters often collide. The need to cultivate better forecasting habits is greater than ever. Business, government, and education leaders are wise not to assume that next quarter will look like the last, or that present trends will continue in the same direction. The digital age demands that we assault our assumptions, develop better antennae to alert us to disruptive changes, and futurize our decisions by looking farther ahead.

That’s where the practice of “superforecasting” comes in.

Over the past decade, a quiet revolution has reshaped how we think about and anticipate the future.. It all started when University of Pennsylvania researchers set out to identify people who consistently make more accurate predictions about complex global events. These researchers organized forecasting tournaments and recruited dozens of non-category experts to make educated guesses about where specific events would lead. Recruits weren’t intelligence analysts, hedge fund managers, or television pundits. Instead, they were librarians, engineers, and retirees. And lo and behold, they outperformed the expert prognosticators time and again.

What sets these highly competent forecasters apart? In their book Superforecasting: The Art and Science of Prediction, authors Philip E. Tetlock and Dan Gardner share their secrets. Turns out that participants who consistently scored highest weren’t necessarily smarter, just more disciplined problem-solvers. They broke big problems into smaller pieces, updated their beliefs frequently based on new evidence, kept track of their prediction accuracy, and refined their methods over time.

They embraced what the authors call probabilistic thinking—assigning confidence levels to predictions and adjusting them as new data emerged. Most importantly, they were intellectually humble. They didn’t pretend to know how the future would unfold; they just got better at estimating its contours.

We can all benefit from their strategies. To become a better forecaster in your personal and professional lives, try these steps:

1. Start with the base rate. Always ask: What usually happens in situations like this? You can use historical data as your anchor before considering specifics. This prevents you from being swayed by flashy outliers.

2. Break big questions into smaller, more manageable parts. Instead of asking “Will AI disrupt my industry?”, try: “ Which tasks in my industry are most likely to be taken over by machines or AI systems?” “How fast is adoption moving in comparable sectors?” Breaking down big questions allows you to assign probabilities to parts of a larger puzzle.

3. Balance inside and outside views. The “inside view” focuses on the unique traits of your specific case. The “outside view” looks at broader patterns and benchmarks. Superforecasters consciously toggle between the two to avoid tunnel vision.

4. Regularly update your beliefs. Treat your assumptions as hypotheses, not convictions. When new evidence arises, adjust your position—even if it means admitting you were wrong. Flexibility is a strength.

5. Assign numerical probabilities to your predictions. Avoid vague terms like “likely” or “maybe.” Instead, get comfortable estimating probabilities: a 60 percent chance, 85 percent, 30 percent. It sharpens your thinking and makes you trackable over time.

6. Add forecasting to your journal entries. Write down your predictions, your reasoning, and your confidence level. Revisit them periodically. This habit builds self-awareness and reveals your cognitive blind spots.

7. Seek disconfirmation, not just confirmation. Actively search for information that could prove you wrong. This counteracts confirmation bias and forces you to pressure-test your thinking.

8. Cultivate a diverse information diet. Avoid ideological echo chambers. Seek out sources from different ideological, cultural, and disciplinary perspectives. Diversity of input makes for more resilient thinking.

We can’t predict the future with certainty, but we can learn to navigate it more skillfully. As the superforecasters have shown, finding the future first is not about clairvoyance—it’s about curiosity, adaptability, and humility.

This article originally appeared in Forbes

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China’s Disastrous One Child Policy

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Unraveling the Unintended Consequences

China's Disastrous One Child Policy

GUEST POST from Robert B. Tucker

In 1979, China’s leaders implemented the now-infamous “One Child Policy.” Designed to curb population growth, the policy succeeded in reducing birth rates almost immediately. But it also unleashed a cascade of severe and unintended social consequences that the nation is still trying to untangle.

Because many Chinese couples favored boys over girls, the One Child policy began to skew the gender ratio. It gave rise to the so-called “little emperor” syndrome among only children. Most significantly, a birth dearth gave rise to a rapidly aging population.

Today, that aging population poses a long-term crisis threatening to upend China’s economic momentum. With a shrinking workforce and fewer young workers, productivity has declined as soaring healthcare and pension costs strain national resources.

Decades of restricting birth have created a demographic imbalance. Fewer caregivers are available to support a growing elderly population. Once a driver of China’s growth, consumer spending is shifting away from housing, education, and discretionary goods. Industries across the board are feeling the squeeze, while the burden on younger generations grows ever heavier.

China is scrambling to undo the decision: raising the retirement age, pushing automation in fields and factories, and offering incentives for couples to have more children. But the results have been underwhelming. Reversing the unintended consequences of that single 1979 policy decision has been anything but easy.

Governmental responses include birth subsidies, stronger maternity and paternity leave, and numerous efforts to bolster workplace protections for women. No matter how creatively or emphatically the government promotes fertility, young Chinese couples are simply not making more babies.

Result: China stands to lose five to ten million working-age adults each year, while gaining an equal number of elderly people.

In researching a new book on decision-making in an uncertain world, I frequently encounter unintended consequences. The Trump administration’s recent imposition of across-the-board tariffs is an example. The announcement of these controversially named “reciprocal tariffs” prompted retaliation from trade partners and immediately triggered a stock market crash. The aggressive U.S. tariff policy will trigger a significant slowdown in the U.S. economy this year and next, with the median probability of recession in the next 12 months approaching 50 percent, according to economists polled by Reuters.

At the time, China’s One-Child Policy seemed like a no-brainer, a logical response to burgeoning, unsustainable population growth. But its long-term impacts on culture, economics, and national competitiveness were profoundly underestimated.

Key point: When making decisions of significant impact, consider what you want to happen and if your plan will bring this desired state into being. But consider also what might unfold if your plan doesn’t work — and if your plan works all too well. The payoff from taking the extra time will be worth it. Just ask China.

This article originally appeared in Forbes

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