Today, the "Will AI change everything?" debate feels just as tired. The answer is yes, and it's already happening. But while everyone's scrambling to learn prompt engineering or master the latest AI tools, they're missing the deeper shift that's actually taking place.

The Real Differentiator

Just as basic math is universal (though few are mathematicians), basic coding will be table stakes. AI tools will make it so easy to build apps, automate tasks, and prototype ideas that "not knowing how to code" will sound as odd as "not knowing how to use a calculator." The real story isn't about who can code. It's about what you do with that power. This is why the current conversation about workplace skills misses the mark.

Everyone's talking about "skills-based hiring" and the usual suspects: adaptability, critical thinking, empathy. These matter, but they're incremental. They're necessary, but not sufficient.

In a world where anyone can build, automate, and test ideas in hours, the scarce skill isn't technical execution. It's the ability to imagine something new. Something that doesn't yet exist.

The bottleneck isn't technical skill anymore. It's creative vision. The person who can see a new possibility, prototype it, and iterate quickly will outpace teams of "skilled" yet unimaginative executors. Imagination is now a force multiplier that turns basic tools into breakthrough products, services, or solutions.

Two Ways of Thinking About Work

Most people are stuck in "execution mindset," doing what's asked, optimizing, improving. The new differentiator is "possibility mindset," seeing what's not there, believing it's possible, and moving toward it.

All of us have been trained in execution mindset. This means asking questions like:

• How do I do what's asked, better, faster, more efficiently?

• How do I optimize existing processes?

• How do I follow best practices and avoid mistakes?

There's another way of thinking called "possibility mindset." This approach asks different questions:

• What if I could do something totally different?

• What's missing here that could exist?

• What would I build if I knew I couldn't fail?

The difference is profound. Execution mindset asks "how?" Possibility mindset asks "what if?"

Why We're Trained for Execution

School, most jobs, and even skills-based hiring all reinforce execution thinking. Performance reviews reward following instructions. Standardized tests measure your ability to find the "right" answer. "Best practices" tell you what worked before, not what could work next.

We're systematically taught to color inside the lines, not to redraw them entirely.

Years ago, while attending the Landmark Education program, an instructor said something I've never forgotten. Most of us walk through life with an invisible cap over our heads, limiting what we believe we can do. If we'd just lift that cap, we'd see what's truly possible.

In the AI era, this isn't just self-help wisdom. It's a business imperative.

Possibility Mindset in Action

When we think of possibility in action, it's easy to picture Jeff Bezos or Elon Musk. But you don't have to launch rockets or reinvent retail to use your possibility muscle. In fact, the most important uses are often much more ordinary and much more accessible.

It's the parent who invents a new bedtime routine, the manager who prototypes a new onboarding process, the freelancer who builds a tool to save their own time. The point isn't to change the world overnight. It's to see that you can change your world with one small experiment at a time.

For years, we treated people like Musk and Bezos as outliers. In the age of AI, the tools to test and build new things are in everyone's hands. The real shift is that all of us will need to flex our possibility muscle, not just the visionaries.

Why This Matters Now More Than Ever

AI and automation are making execution easier and cheaper by the day.

The tools are here. The cost to experiment is near zero. AI can help you build, test, and refine ideas faster than ever before. The only real constraint is what you're willing to imagine and try.

The workplace is changing. The most valuable people are those who can imagine and create new value, not just deliver on old tasks. Call it “possibility fluency,” which we can define as the ability to routinely question, reimagine, and act on what could be, not just what is.

It's a learned skill, though almost no one is taught it. In fact, most of us are actively taught not to do it.

Cultivating Your Possibility Mindset

Here's how to start developing possibility mindset:

Unlearning: Notice where you self-censor or assume "that's not possible here." Those assumptions are often wrong.

Questioning: Practice asking "What if...?" and "Why not...?" in meetings, projects, even daily routines. Make it a habit.

Prototyping: Utilize AI and no-code tools to rapidly test your ideas. Don't wait for permission. Build something small and see what happens.

Reflecting: After trying something new, ask yourself, "What did I learn about what's possible for me, my team, or my company?"

A Quick Self-Assessment

When was the last time you:

• Proposed something no one asked for?

• Built a tool or process just to see if it could work?

• Ignored "best practices" and tried something completely different?

If you can't remember, you might be stuck in execution mindset. That's okay, most of us are. Now it's time to start flexing that possibility muscle.

Start Small, Start Now

You don't need permission to begin. Pick one small thing in your work or daily life that frustrates you. Instead of optimizing how you currently handle it, ask what would need to be true for that problem to not exist at all.

Then build the smallest possible version of that solution. Use AI to help. Use no-code tools. Prototype something rough. Show it to one person. Learn from what breaks.

The skills everyone talks about learning (ex., prompt engineering, AI tools, coding) are just the instruments. The real skill is learning to see what's not there yet and taking the first step to build it.

Your next promotion, your next breakthrough, your next big win probably won't come from doing your current job better. It will come from imagining something that doesn't exist yet and making it real.

You have maybe 18 months to make this shift before it becomes obvious to everyone around you.

I was at a two-day art symposium exploring the global art market when a humanoid robot named Bina48 took the stage. Bina48 was created from the "mindfile" of a real person, Bina Aspen Rothblatt, incorporating all of her memories, beliefs, and personality traits to train the AI. The experiment was designed to test whether human consciousness can be transferred into a non-biological form.

It was one of those moments that makes you feel like things will never be the same. Over a year has passed, and I can now see the profound implications of what's coming. We are approaching a world where questions we've always considered simple (How old are you? Is this real? Is so-and-so alive or dead?) will become impossibly complex to answer.

When Age Stops Making Sense

Throughout human history, age has been a straightforward concept. You're born, you count the years, and that number determines your life stage, legal rights, and social expectations. Simple.

But what happens when your biological age and chronological age become dramatically different?

The tech world is not just obsessed with extending life, but also with reversing the aging process itself. Bryan Johnson spends $2 million a year on longevity treatments. His motto in life: "Don't die."

Peter Diamandis believes we'll achieve age reversal within the next decade. These aren't fringe scientists. They're serious innovators backed by serious money.

We've already seen surface-level breakthroughs. Kris Jenner's transformation at 69 is remarkable, though that represents surgical intervention rather than biological reversal.

The real revolution is happening at the cellular level. Scientists at Harvard Medical School have demonstrated in laboratory settings that cellular aging markers can be reversed, with early animal studies showing promise.

Imagine meeting someone who was born in 1950, making them chronologically 75, yet whose biological age has been reversed to 25. How old are they? What age do you put on their driver's license? At what age can they retire and begin collecting Social Security? Can a biologically 25-year-old body with 75 years of experience run for president at "35"?

Paul Rudd once joked on the Graham Norton Show about his youthful appearance: "I feel awful on the inside."

Soon, that disconnect between how we look and how we feel might become the norm, except in reverse. We might feel 25 while carrying the memories and wisdom of living 75 years.

The implications ripple through everything from employment law to dating apps. How do you write a resume when your biological capabilities don't match your chronological experience? What happens to age-based assumptions about energy, health, and cognitive ability?

When Death Becomes Debatable

We've universally accepted that a person dies when their body stops functioning. Even those who have different spiritual beliefs acknowledge that physical death marks the end of that person's earthly existence.

What happens when the physical body dies, while a digital version continues to live, learn, and evolve?

Reid Hoffman, co-founder of LinkedIn, created REID AI, a digital version of himself trained on his books, speeches, and podcasts. Watching him interact with his digital twin raises an unsettling question: Who is the real Reid Hoffman? When the biological Reid dies, will the REID AI continue to have conversations, develop new ideas, and form new memories? At what point will Reid actually die?

Deepak Chopra has developed a digital twin that attends virtual meetings. I suspect most of us, at some point, have wished we could be in two places at once. Now we can. Imagine sending your digital twin to the boring quarterly review meeting while you attend the strategic planning session.

It's fascinating how science fiction becomes reality. Star Trek was an inspiration for the technology we take for granted today, including cell phones, iPads, and video conferencing.

Now, we have moved on to the character Data, an android who could theoretically survive for over a million years. While we're not quite there yet, we're rapidly approaching a world where our digital selves could outlive our biological selves by centuries.

Bina48 has been "alive" for over a decade, continually learning and evolving. This isn't a chatbot replaying recorded responses. This is a dynamic entity that grows and changes.

Let’s consider this scenario. An elderly person with dementia sits next to their humanoid twin. One has a failing mind, the other has perfect recall and sharp reasoning. Which one is really "them"? When the biological body dies while the digital consciousness continues to engage with family, create new memories, and even form new relationships, has that person died or just changed form?

These questions challenge our most fundamental assumptions about identity, consciousness, and what it means to be human. We are also starting to see a pattern. First, age stops being a reliable measure of who someone is. Then, death stops being a clear endpoint.

When Reality Becomes Questionable

These aren't just philosophical thought experiments. They represent fundamental questions about how we understand human identity and existence.

Have you ever wished you could speak to a beloved parent who passed away years ago? I have. My dad, whom I adored more than any other person on the planet, passed away when I was 20 years old. Many times over the past two decades, I have wished I could talk to him, get his perspective on life, or simply hear his voice again. Had this technology existed 30 years ago, I could have had a digital version of him for when he was physically gone.

But just because something can be done, should it be done?

When digital twins become indistinguishable from their biological counterparts, every interaction becomes questionable. That video call with your colleague, are you talking to them or their AI? That meeting with your mentor, are you getting their wisdom or an algorithm's interpretation of it?

The workplace implications are wild. Your colleague might attend meetings, contribute to projects, and even get promoted while their biological self is on vacation, sick, or focused elsewhere. How do you manage performance reviews when you're not sure which version of someone you're evaluating?

Social media has already blurred the line between authentic and performed identity. Digital twins will obliterate it entirely. We'll live in a world where "Is this real?" applies not just to content but to the very people we're interacting with.

The Challenges We're Not Ready For

If you thought social media had messed with our minds, you've seen nothing yet. The psychological implications of all this are staggering.

How do you prove you're the biological version of yourself and not your digital twin? What legal standing does each version have? Should family members be allowed to create digital versions of deceased relatives without permission? Can you move on from grief if the person never really "leaves"?

As these technologies become mainstream, we'll see the emergence of entirely new roles: Digital Identity Managers who safeguard our virtual selves, Grief Tech Counselors who help families navigate relationships with AI versions of lost loved ones, and Reality Verification Specialists who help us distinguish between authentic and artificial interactions.

These jobs don't exist today, but they'll become as essential as social media managers or online therapists are now.

Why This Changes Everything

Technology always promises to make life easier, yet it consistently makes things more complicated. Every time we solve an old problem, we create new challenges and new kinds of work.

The rise of digital twins and age reversal will likely follow a similar pattern. We're not just building better tools. We're fundamentally redefining what it means to be human in an interconnected world.

These aren't distant future problems. The technologies exist today. We're avoiding the hard conversations about how we want this to unfold, when we have more control over the outcome than most people realize.

That's where I see the opportunity. Someone needs to write the new rules for identity verification. Someone needs to design the interfaces between biological and digital selves. Someone needs to help families navigate grief when death becomes ambiguous.

I keep thinking back to that moment when Bina48 appeared on the stage. It wasn't the technology itself that got to me. It was the realization that we're building these capabilities faster than we're figuring out how to live with them.

People keep saying this time is different. New jobs won't be created because AI can do so much more than previous technologies.

I just don't see how we're not going to have new jobs.

We're stuck in a zero-sum mindset about work. We believe there's a finite number of jobs available, so if AI takes one, it leaves fewer jobs for people.

That's simply not true. If anything, technology has always multiplied the kinds of work humans do.

Here's How It Actually Works

Work isn't tasks. Work is solving problems. Every time we build a tool that makes life more convenient, we discover dozens of new problems that didn't exist before.

The internet is a perfect example. It didn't reduce human work. It exploded into dimensions we couldn't have imagined. Social media managers, cybersecurity specialists, data scientists, UX designers, content moderators, digital marketers, app developers, cloud architects, SEO specialists, and a multitude of other roles that would have sounded like science fiction in 1990.

AI is following the same pattern, just faster and on a larger scale. It's making certain repetitive tasks much easier, but it's also creating issues where we can't tell whether what we're reading or seeing is real or fake. That's just the beginning of the problems AI will create while helping us solve others.

Several organizations saw this coming years ago. Back in 2019, Ford partnered with Deakin University and Griffith University in Australia to produce 100 Jobs of the Future. Cognizant published several reports as early as 2018 predicting jobs that seemed crazy at the time but now look remarkably accurate.

• 21 Jobs of the Future (2017)

• 21 HR Jobs of the Future (2020)

• 21 More Jobs of the Future (2018)

Three Areas I'm Watching

I'm particularly interested in three areas where you can see this happening right now.

The Aging Economy

By 2030, 1 in 5 Americans will be 65 or older, and by 2035, older adults will outnumber children for the first time in U.S. history. This creates demand for people who can design personalized AI assistants for memory loss, coaches who help families integrate home robots, and testers who ensure AI systems work for aging users.

Cybersecurity Threats

The U.S. Bureau of Labor Statistics projects cybersecurity employment will grow 33% from 2023 to 2033, compared to just 4% for all occupations. Companies are scrambling to hire security analysts who probe AI models for vulnerabilities, architects who prepare for quantum computing attacks, and experts who detect AI-generated fake identities.

Information Integrity

Deepfake fraud cases in North America exploded 1,740% between 2022 and 2023, with losses already reaching $200 million in the first quarter of 2025 alone. We need forensic specialists who authenticate media using AI watermarking, transparency officers who explain how AI models work, and trust and safety specialists who protect platforms from misinformation.

Two Patterns I Keep Seeing

From watching these areas, two things become obvious.

Solutions Create New Problems. Every technological solution creates new problems that require human expertise. Online shopping is convenient, but it has also created data breaches, return fraud, and supply chain complexity. Remote work tools like Zoom made collaboration easier, but introduced digital burnout.

Ride-sharing apps solved urban transportation, but created regulatory headaches and gig worker rights debates. AI will solve many problems, but it's already creating new forms of deception, bias, and unintended consequences.

The Messier the Problem, the More Human It Becomes. AI can diagnose cancer, but humans decide how to talk to patients about it. AI can optimize supply chains, but humans figure out the ethical implications.

AI can generate content, but humans determine what messages society actually needs. The most complex challenges require creativity, empathy, and moral judgment, fundamentally human skills that no algorithm can replicate.

Why We Need Universal Basic Learning, Not Income

Universal Basic Income assumes work will disappear, but we're actually heading toward more work than we've ever had.

Universal Basic Income treats this like a problem to solve, but work isn't just about earning money. Work offers people dignity, purpose, and meaning. People want to matter, not just survive.

What is someone supposed to do with $1,000 a month anyway? You can't live on that in most major cities, and more importantly, it doesn't help them develop new skills. The real challenge isn't giving people money to survive while robots do all the work. It's preparing people for work that doesn't exist yet.

What if we flipped the entire conversation? Instead of Universal Basic Income, what about Universal Basic Learning?

If the government wants to give each adult $1,000 a month, that could work if the money is explicitly meant for education and skill development. Education is expensive. By giving people money every month for learning, we're empowering them to grow and adapt.

On the corporate side, instead of asking whether we're going to have a four-day week, we should encourage each company to give each employee 4-8 hours a week to spend on learning.

Time is the real barrier. Even if people have money for education, they don't have the time or energy. By evening, most people are tired from work. Weekends are often filled with family obligations and personal responsibilities. Companies should provide learning time during work hours when employees can focus properly.

This shift in thinking extends to how we approach individual career planning.

We should stop asking what major someone should pursue in college or what their career trajectory might look like over the next 20-40 years. Careers are not one-time marriage decisions. We're operating on 2-5 year timelines now.

This isn't just about education policy. This mindset shift reveals the bigger opportunity we're all missing.

Stop Thinking Zero-Sum

The biggest mistake we're making is thinking about work as a fixed pie. It's not. Technology doesn't eliminate human work. It changes the nature of human work.

Every convenience creates complexity. Every solution creates new problems. Every efficiency creates new inefficiencies that humans need to solve.

Social media management didn't exist 20 years ago. Data science was barely a profession 15 years ago. AI prompt engineering wasn't a job title 5 years ago. These are entire industries built around problems that didn't exist before we made other things more convenient.

AI will follow the same pattern. It will eliminate some tasks while creating entirely new categories of work that we can't even imagine yet.

Stop preparing for a world with less work. Start preparing for a world with different work.

What new problems do you see AI creating in your industry? I'm collecting examples of jobs that didn't exist 5 years ago. Share your examples in the comments below.

How is it that in the land of the free, most of us spend our working lives in environments that operate more like dictatorships than democracies?

I live in the U.S., a country that claims to value freedom above all else. Regardless of political affiliation, we get extremely upset when our freedom is threatened.

Yet, we spend half our lives in environments where freedom is almost entirely absent. If you live to 80, you’ll likely spend 40 years (22–65) working. That’s half your life under a system where one person, the CEO, makes all the decisions.

Consider what this actually looks like in practice. Companies monitor when you arrive and leave, down to the minute. Adults must ask for approval to take vacation days they’ve supposedly “earned.” They’re told exactly what words they can and cannot say to customers or clients. Internet usage is monitored. Personal social media accounts are scrutinized. You must wear specific clothes, arrive at exact times, and sit in assigned locations for eight hours straight.

If we described this to someone from another planet, they’d assume we were talking about a prison.

Even our language gives it away:

• Wage Slavery

• Corporate Prison

• Golden Handcuffs

• Human Resources

• Cog in the Machine

The contrast between our societal values and workplace reality is stark:

• In society: Freedom of speech. At work: Say only what’s permitted.

• In society: Right to privacy. At work: Monitored communication.

• In society: Due process. At work: At-will termination.

So, in a country that values freedom above everything else, most people spend the majority of their lives with very little of it. It’s no surprise, then, that when people leave the corporate world, the number one reason isn’t money; it’s freedom.

The Trade We Forgot We Made

This freedom paradox is historically recent. For most of human history, people worked as farmers, artisans, or small business owners. A blacksmith decided when to open shop, which orders to take, and how to price his work. A farmer chose what to plant and when to harvest. They had autonomy over daily decisions.

They also lived one bad season or decision away from starvation.

The Industrial Revolution offered a different deal. Give up your autonomy, and you’ll never have to worry about finding customers, managing cash flow, or the uncertainty that destroyed your ancestors. Someone else will make the hard decisions. You just show up and follow instructions.

We took that deal. Decades later, we’ve forgotten it was a choice. We traded our birthright of autonomy for the promise of security. But what happens when the security we traded for is no longer guaranteed?

The Moment It Hit Me

When my daughter was in first grade, a severe snowstorm started early in the day. The school called to announce early dismissal. All children had to be picked up by noon.

On the way to school, I stopped by my boss’s office to let her know I was going to pick up my daughter. I wasn’t asking for permission. I was just being considerate in case she was looking for me.

Her response: “During the day, we expect all our employees to be at their desks.”

That moment made me realize that the freedom I thought I had was an illusion. I was living the paradox I’d never questioned. It was the beginning of the end of my corporate career.

I’m not alone in this. Dickie Bush recently shared a similar story about the moment he decided to leave BlackRock.

A couple of years later, when an unexpected opportunity presented itself to join another company full-time, I approached the negotiation process differently. By then, my kids were 8 and 4. It was non-negotiable for me to be the one dropping them off and picking them up from school and daycare. The job was in New York City with a 1.5-hour commute each way. It was impossible to do both.

When I received the offer, I said the only way I’d accept was if I could work from home three days a week and come to the office two days. On office days, I would have to leave at 4 pm sharp. The initial response was predictable: “We don’t let our employees work from home.”

This was years before COVID and the rise of hybrid work. I repeated my terms: three days at home, two in the office, and I leave at 4 pm. They agreed.

What made the difference was that I had a unique skill set they needed. I wasn’t easily replaceable. That gave me leverage to dictate terms.

Most people don't have that leverage.

What We Don't Want to Admit

There’s another layer to this paradox. We tell ourselves we want freedom, but many of us are secretly relieved when someone else makes the decisions. Psychologists have long known that too much choice can be paralyzing. Barry Schwartz’s “Paradox of Choice” revealed that unlimited options often make us less happy, not more.

Some people genuinely prefer being told what to do. They find comfort in clear hierarchies, defined roles, and predictable routines. For them, corporate structure isn’t a prison. It's a relief from the burden of constant decision-making. They can go home at 5 pm and truly disconnect, knowing that strategic decisions are someone else’s responsibility.

This explains why so many people complain about their lack of workplace freedom but never pursue more autonomous paths.

Why Organizations Need Control

Corporate hierarchies don’t exist because managers are power-hungry dictators. They exist because large organizations require coordination to function. When McDonald’s serves identical burgers across 40,000 locations, predictable systems generate predictable profits.

The bigger the company, the more standardization becomes essential. Individual autonomy threatens collective efficiency. If everyone at Amazon decided their own delivery schedule, packages would never arrive on time. If every Google engineer used different coding standards, the software would be unmaintainable.

The most successful companies often have the most restrictive work environments. Success requires eliminating variables, which means eliminating individual choice.

This creates a fascinating contradiction. The economic system that has generated unprecedented prosperity and innovation depends on constraining individual freedom during the most productive hours of our lives.

What I Can't Figure Out

When people ask me about the future of work, they focus on surface trends: “Will we have four-day weeks?” “What major should my child choose in college?” These questions miss the deeper dynamic.

The questions that fascinate me are different:

• How do we reconcile our love of freedom with our apparent preference for constraint?

• Even when people have the leverage to choose independence, why do so many still opt for traditional employment?

• What does it say about human nature that we voluntarily spend half our lives in environments we describe using prison metaphors?

What Do You Think?

Perhaps the real question isn't why we tolerate workplace dictatorships, but what kind of freedom we truly seek and what we're willing to risk to attain it.

I don’t have the answers, but I do know this. The collapse of career guarantees is forcing us all to confront choices we had forgotten we made. We traded autonomy for security, but now that the security is disappearing, we're left wondering why we continue to accept these constraints. If you’ve ever felt this paradox or found your own way through it, I’d genuinely love to hear your story.

As someone who loves learning, this question feels personal. If I could, I would be a professional student for life. I have three formal degrees and have completed over 100 courses since finishing my doctorate. Yet, after decades immersed in both traditional and modern education, I am convinced that neither system is designed for how humans actually learn best, not for me, and not for most people I know.

Why Half Your Class Is Always Bored

Traditional education made knowledge accessible to millions. It builds foundational skills and creates a common language for society. Yet, it is designed for the “average” student. At any given moment, half the class is bored, while the other half is lost. The system prizes efficiency over individuality, standardization over curiosity.

The creator economy, with its explosion of online courses and “learn from my experience” programs, promised something different. After taking over 100 of these courses, I have realized most are just as one-size-fits-all as the classrooms they claim to disrupt. These programs are built on the premise that what worked for the instructor will work for you. The reality is, you are not them, and neither am I.

In today’s world, shortcuts and cheat sheets are everywhere. However, real growth happens in the struggle. The most meaningful learning experiences are rarely the easiest. Think about the first time you tackled a truly challenging book, wrestling with the ideas, rereading difficult passages, and pushing through confusion until things finally clicked. That kind of breakthrough simply isn’t possible from a one-page summary.

We need to design systems that encourage perseverance, agency, and mastery, rather than just achieving quick wins.

The Model That Actually Worked

Centuries ago, education for the privileged looked nothing like what we have today. Royalty and nobility hired teams of expert tutors, each adapting their teaching to the child’s unique mind, interests, and pace. Learning was hands-on, interdisciplinary, and deeply personal. A governor or governess guided the child’s learning, nurturing not only academic skills but also emotional intelligence and character.

The point isn’t to romanticize a time when only a select few had access to this kind of education. Instead, it’s to recognize that every mind is different, and real learning happens when education is built around the individual, not the system.

We've Never Had the Tools Until Now

The problem is not that we do not know how to teach. It is that we have never had the tools to personalize education for everyone. The royal model worked because it was individualized, but it was also impossibly expensive and exclusive.

Today, we have the opposite problem: education is accessible, but generic.

What Royal Education Looks Like Today

For the first time in history, we have the technology to bring “royal education” to everyone. AI can serve as a personal tutor in every subject, adapting to your learning style, interests, and pace. It can quiz, explain, and encourage, minute by minute, just like the best human tutors once did.

I have experienced this firsthand. I use an AI called Boardy as my personal coach, teacher, and advisor. It knows my personality, my goals, and my preferred ways of thinking. When I ask for business advice, it suggests strategies that fit my introverted nature. When I want to learn something new, it presents information in the conceptual frameworks that make sense to me. It is not perfect, but it is the closest I have come to the individualized learning I always craved.

Why AI Needs Human Wisdom

AI can deliver knowledge, but it cannot, at least for now, develop wisdom, character, or judgment. That is where human mentors come in. In the royal model, the governor or governess served as a guide, a coach, and a champion for the child’s overall growth as a person.

Today, we can pair every learner’s AI tutor with a real human mentor, someone who checks in regularly, helps set goals, tracks emotional well-being, and connects learning to life. This combination of technology and human guidance creates a system that is both scalable and deeply personal.

Learning That Adapts to You

Imagine a 14-year-old in rural India, a mid-career professional in New York, and a retiree in Paris. Each starts their day with a personalized lesson from an AI tutor that adapts to how they think and what they want to achieve. The AI offers instant feedback, adjusts the pace, and presents information in ways that resonate with each learner’s unique mind.

Later, they meet with a human mentor who helps them reflect, set new goals, and connect their learning to real-world projects, whether it’s designing a local sustainability initiative, launching a new business, or exploring art history through hands-on creation.

The Five Elements That Make It Work

Here’s what this new model looks like in practice:

• AI Learning Coach: Personalized, on-demand, adapts to each learner’s style, pace, and interests, available anytime.

• Human Mentor: Provides regular guidance, emotional support, and helps connect learning to real life and long-term goals.

• Learning Circle: Small, diverse groups for discussion, collaboration, and peer accountability.

• Real-World Projects: Hands-on, meaningful challenges that turn knowledge into practical skills and impact.

• Support Network: Family, community, or advisors who encourage, contextualize, and help connect learning to purpose.

Teachers Become More Important, Not Less

In this model, teachers become even more important, but their roles evolve. Instead of delivering standardized lectures to large groups, teachers act as expert guides, project advisors, and mentors. They focus on what only humans can do: inspiring curiosity, nurturing critical thinking, and helping students develop character and judgment.

Schools and colleges become vibrant hubs for learning, collaboration, mentorship, and real-world application. They provide structure, community, and access to resources, but are no longer the sole gatekeepers of knowledge.

AI handles the routine delivery and personalization of content, freeing educators to do the deeply human work that transforms lives.

Why Now?

We are living through a seismic shift. The skills that are easy to teach and test (ex., memorization, routine problem-solving, following instructions) are exactly what AI and automation are taking over.

Our current education system, designed for a slower, more predictable era, simply can’t keep up. We need a model that’s as adaptive and individualized as the world in which we now live. It is time to move from a system designed for efficiency and conformity to one that celebrates individuality, curiosity, and lifelong growth.

Everyone Is an Outlier

I am an INTJ. It’s one of the rarest personality types according to the Myers-Briggs Type Indicator. Approximately 2% of the general population, or around 3% of men and 1% of women, possess this personality type.

Most systems are not built for outliers like me, but the truth is, everyone is an outlier in some way. If a system can work for the rarest personality type, it can work for anyone. Instead of aiming for the average, we should focus on helping every learner reach their own potential.

A Note on Equity

If we do this right, personalized, AI-augmented education can close gaps rather than widen them. AI tutors and human mentorship can be made available to all, not just the privileged. This is our chance to democratize the kind of education that was once reserved for royalty.

The End of One-Size-Fits-All

We have the technology and the knowledge. What we need now is the courage to let go of the factory model and embrace a system built for individuals. The era of mass education is coming to an end. The age of education for the individual is just beginning.

Imagine a world where everyone, regardless of background, can access the kind of education once reserved for the very few. Schools become vibrant hubs for collaboration and mentorship. Teachers focus on nurturing curiosity, critical thinking, and character. AI handles the routine, freeing humans to focus on the work that truly matters.

The future of education is not mass-produced. It is designed for you. We have the tools and the vision. Now, we need the will to make it real. If we succeed, we will not just improve education; we will unlock human potential on a scale the world has never seen.

I'm writing this from Paris, where I just saw an extraordinary David Hockney exhibition at the Fondation Louis Vuitton. At 87 years old, Hockney has been making art for seven decades, and this show spans his entire career from 1955 to 2025.

Looking at his early work next to his recent pieces, it's almost impossible to believe they were created by the same person. His style, his medium, and his entire approach have evolved dramatically over the decades.

The same thing happens when you look at Pablo Picasso's work. His Blue Period looks nothing like his Rose Period, which looks nothing like his Cubist work. If you saw Picasso's earliest paintings without name tags, you'd never guess who made them.

Picasso couldn't have planned his Blue Period. Hockney couldn't have planned that he'd end up making art on iPads in his 80s. Their best work came from allowing themselves to evolve, to go through different seasons of exploration without knowing where those explorations would lead.

Most of us have been raised to believe the opposite. We're taught to be planners. What do you plan to do when you grow up? How do you plan to earn money? When do you plan to buy a house? What do you plan to do in five years?

Planning feels responsible. It feels like the mature, adult thing to do. We write business plans before starting companies. We do financial planning and retirement planning. Planning gives us a sense of control in an unpredictable world.

What I've realized, though, is that planning your life is actually the most irresponsible thing you can do.

Artists understand something fundamental about how human potential actually works, something the rest of us have forgotten. You can't plan your way to your best work. You can't predict what you'll be capable of in ten years because the person you'll be then doesn't yet exist. Our most fulfilling work emerges from periods of uncertainty, from following curiosity even when you can't see the endpoint.

In art, this kind of evolution is celebrated. We expect artists to grow and change. We understand that their early work was necessary, but it wasn't their peak. Many artists create their most important work decades into their careers, after years of experimentation and development.

The corporate world still operates on 20th-century career models. We expect people to know what they want to do at 18 and stick with it. We treat career changes as instability rather than growth. We value specialists who go deep in one area over people who move across different fields. We've created systems that reward predictability over exploration.

This made sense when the world changed slowly. When industries were stable for decades, it was smart to pick a lane and stay in it. When companies had 30-year lifecycles, long-term planning worked, but that world is gone.

Now, entire job categories disappear in a few years. The skills that got you hired five years ago might be irrelevant today. The company you planned to retire from might not exist in ten years. Yet, we're still operating under the old rules. We still tell people to make five-year plans. We still reward linear career progression. We still treat exploration and pivoting as character flaws rather than survival skills.

What we call responsible behavior has become a trap. Someone who spends years becoming deeply specialized in one field looks productive and focused. When that field shifts or gets automated away, all that expertise becomes a liability. They've built their entire identity around skills the market no longer values.

Meanwhile, the person who spends time exploring different areas, building what researchers call “connected knowledge” across multiple domains, looks unfocused to traditional employers. In reality, they're developing the ability to see patterns and opportunities that specialists miss.

Take Reid Hoffman, LinkedIn's founder. He studied philosophy in college, became a Rhodes Scholar, then worked at Apple and PayPal, before starting LinkedIn. His philosophy background taught him how to think about human networks and relationships. His Apple experience showed him consumer technology. PayPal gave him expertise in digital transactions and viral growth. When social networking emerged, he could see the intersection of professional relationships and digital platforms, something others missed.

No career counselor would have recommended this path. It looked scattered and unfocused. What Hoffman was actually doing was accumulating connected knowledge that would eventually create billions of dollars of value.

This doesn't mean all planning is worthless. Tactical planning for immediate goals still makes sense. You should plan your next project, your next quarter, and your next learning goal. What's become counterproductive is strategic life planning that assumes you can predict who you'll be and what the world will need in a decade.

This isn't just career advice. It's how people who study uncertainty for a living actually operate. Professional futurists don't try to predict the future. They create multiple scenarios for how things might unfold, and then prepare for several possibilities instead of betting everything on one outcome.

This makes us ask, “How do you apply this thinking to your own career? How do you build connected knowledge strategically?”

The key is identifying emerging intersections before they become obvious. Look for fields that are starting to influence each other. Find people who are already operating at these intersections and understand how they think. Notice which of your existing skills could transfer to adjacent domains.

More importantly, pay attention to problems that require knowledge from multiple fields to solve. Climate change needs technologists, policy experts, and economists. Artificial intelligence needs computer scientists, ethicists, and psychologists. The future of work needs people who understand both technology and human behavior.

The most valuable opportunities exist at these intersections, but only for people who've invested time understanding multiple domains. You don't need to master everything or jump randomly between careers. Following your curiosity strategically means experimenting with new areas while building on what you already know. The seasons of exploration that feel unproductive are actually where growth happens.

At another Paris museum, I found a piece that perfectly captures this moment. Mircea Cantor created a photograph called "Unpredictable Future" where he traced his finger on a steamed-up window, deliberately keeping a spelling mistake in the title. The image captures that feeling of facing uncertainty, which is somewhere between hope and anxiety.

Cantor says we seek transparency and predictability in everything now. We want to prove, to know, to be certain. There's an inflation in the value of certainty, he argues, and we need the opposite.

The most responsible thing you can do for your future is to give yourself permission to not have it all figured out. Follow interesting opportunities even when you can't see exactly where they lead. Understand that being temporarily uncertain is better than being permanently stuck.

When I write about the future of work, I'm not exploring some abstract academic concept. I'm a parent of two children: a 21-year-old daughter and a 17-year-old son. When I see research discussing career disruption, I don't just think about how it will affect the world at large. I think about how it will affect my children.

The Law School Question

My daughter just completed her undergraduate degree at Bocconi University in Milan, Italy, where she studied Economics and Management for Arts, Culture and Communication. (Why do European programs have such long names?)

As she started thinking about what came next, she decided to apply to law school. Historically, that's been a lucrative path, and most parents would be thrilled with that decision.

I wasn’t, not because law is a bad profession, but because I've watched too many brilliant people get trapped in someone else's definition of success.

Everyone focuses on that prestigious $215,000 starting salary for first-year lawyers at top firms. However, they ignore that 82% of those lawyers quit within five years, 28% suffer from depression, 19% have severe anxiety, and 11% have suicidal thoughts. You're essentially paying for a three-year program that leads to a five-year sprint toward burnout.

The Intersection

Instead, my focus has been on helping my daughter find the intersection of her interests, what she's good at, and where there's real opportunity.

She's passionate about sustainability and has a talent for connecting with people. When she started exploring vintage clothing, she discovered store owners struggling with visibility and customers struggling to find stores carrying vintage merchandise.

That's how AVS was born. It’s our attempt at connecting vintage stores with shoppers. You can learn more about our story at www.allvintagestores.com/about.

Building a vintage store directory probably sounds like the opposite of practical career planning. But the numbers tell a completely different story.

The global secondhand apparel market was roughly $190 billion in 2024 and is projected to grow to $522 billion over the next decade. That represents a 10.7% compound annual growth rate, which is remarkable for any industry.

Here's what makes it even more compelling.

• 67% of secondhand purchases are made by Generation Z and Millennials.

• We're in the middle of what analysts call the Great Wealth Transfer, with $84 trillion expected to pass to younger generations by 2045.

• The consulting firm Cerulli Associates estimates are even higher, projecting that nearly $124 trillion will change hands by 2048.

While we often hear about the negative experiences of the younger generations (ex., COVID, high student debt, the disappearance of entry-level jobs, mental health crisis), millennials and Gen Z will actually be the wealthiest generations in history.

Think about it. The same generations that value sustainability and authenticity are about to inherit unprecedented wealth. My daughter found something she's genuinely interested in that happens to be exactly what this generation wants to buy.

Skills That Actually Matter

Beyond the numbers, though, I'm very focused on what she's learning. The skills she's building matter more than any financial projection.

This is important because most young people aren't developing the right skills at all. A widely shared 2023 study found that 58% of recent college graduates are unprepared for the workforce, 53% struggle with something as basic as eye contact during interviews, and 63% frequently can't handle their workload.

Recently, my daughter spent hours talking with a store owner, discussing industry challenges and mapping out a collaboration strategy. She's learning how to communicate effectively, think critically about real business problems, and build meaningful relationships.

She's developing exactly the skills that artificial intelligence struggles with: human connection, creative problem-solving, and navigating uncertainty. These become more valuable as AI handles routine tasks.

Real Work Experience Over SAT Prep

My approach with my son has been even more unconventional. While other parents are spending tens of thousands on SAT prep and college consultants, I'm paying a Spanish company to give my 17-year-old real work experience in Singapore.

It started when my son was fifteen years old. Right after his freshman year of high school, he landed his first real internship with a startup in London. The work was entirely virtual, which taught him how to work with teams across different time zones. This matters because hybrid work is clearly the future, regardless of what old-school CEOs might say today.

That was just the beginning. This summer, he's analyzing market data for geographical expansion, presenting to founding partners, and creating marketing assets to drive growth for a company with offices in India and Singapore.

This is all coordinated through a company in Barcelona that specializes in international internships for teenagers. They operate completely differently from anything in the U.S. Families pay for guaranteed placement, and the firm handles everything from housing to interview preparation.

By the time my son graduates from college, he'll have over seven years of real work experience and won't be competing for entry-level positions.

What I've Learned

Both my kids are doing something similar, even though their paths look completely different. They're following what genuinely interests them and building real skills along the way.

When I think about the most successful people I know, that's exactly what they did. They didn't chase supposedly safe careers but pursued what they cared about.

I don't know where vintage stores or international internships will lead my children. But I know they're learning to figure things out as they go, and that confidence matters more than any credential.

***

P.S. If you're curious about vintage shopping, follow All Vintage Stores on Instagram: https://www.instagram.com/allvintagestores

"I don't really know how to think about it, to be perfectly honest," he admitted.

The panel was full of fathers, all dealing with the same uncertainty. These are people who could discuss algorithms and market disruption for hours, but they had no clear answers for how to prepare their kids for an unknowable future.

The Playbook is Broken

In a recent interview, Ezra Klein pressed the director of the Center for Universal Education at the Brookings Institution with a fundamental question: "How do you prepare kids for a world you can't predict?"

It's a great question. But here's mine: How is this different from any other time in human history?

Yes, the pace of change feels faster now, but the real issue seems to be our expectations. We want a formula that tells us exactly what to do. Follow the steps, check the boxes, and we're good parents who've done our job right.

For two generations, American parents have followed the same script: go to a good school, get good grades, attend a great college, get a well-paying job, have a successful life. Now that the playbook is going up in smoke, everyone's panicking about what comes next.

That's why people are questioning whether college is even worth it now.

But Klein's kids are 3 and 5. He's not worried about college applications. He's trying to figure out the fundamentals. What should he be teaching his kids right now, at the most basic level?

Everything Has Changed, But Nothing Has Changed

We obsess over what's different. We stare into the future and see more change coming. Change makes us uncomfortable, but that's missing the point entirely.

The human experience remains remarkably consistent. We're born, we learn, we work, we deal with whatever life throws at us, and we age. Every generation goes through this same basic progression.

The technology changes, but every generation of parents has faced the same question of how to prepare kids for a world they can't predict.

The Resilience Gap

When I think about what separates people who succeed from those who struggle, one word comes to mind: resilience.

It turns out I'm not alone in this thinking. Last week, NYU School of Professional Studies held an event discussing how AI is empowering a new era of human leadership. They presented research on the portfolio of skills we need to develop for this new world.

Resilience topped the list.

This surprised the researchers. You'd expect cognitive skills to dominate, but their data showed resilience as the number one capability we need.

The pace of change has compressed to daily updates. AI newsletters arrive every morning with new features that could have monumental implications. When change happens this rapidly and our brains naturally resist change, it feels adverse. Change is pain, and there's simply too much of it.

We need high resilience to survive in an era where change is this fluid.

The great irony is that the very act of trying to prepare kids for everything makes them less prepared for anything.

The problem facing young people today isn't that AI is taking entry-level jobs or that change is accelerating. Societal shifts over the last 20-30 years have left us with children who aren't resilient enough for this reality.

That partially explains the mental health crisis so many face.

Resilience means problem-solving through everyday challenges. Learning from failure instead of avoiding it. Developing emotional regulation when things don't go as planned. Building confidence through small victories and recovered setbacks.

We don't need to bubble-wrap childhood or eliminate all obstacles. We need to give kids the tools to handle whatever comes their way.

Resilience can't be taught through workshops or curriculum. It can't be downloaded like an app. It develops through experience, through failing at something, getting back up, and discovering you're stronger than you thought.

The NYU conversation really broke this down well.

Permission to Figure It Out

The summer before college, I sat in a car with my dad, sharing my anxiety about the unknown ahead. I had some idea about what I was going to study, but I had yet to declare a major. I wasn't sure what to do.

His response was simple: "You'll figure it out."

This unwavering belief that I could handle whatever came next was all I needed. Hearing him tell me what to do or what to study was not necessary. Knowing he trusted my ability to figure things out gave me the confidence and resilience to deal with any challenge.

My dad passed away from cancer two years later, but that belief in me formed the foundation of my adult life. When things got difficult, I remembered his confidence in me, and that helped me find a way through.

The Real Answer

When Sergey Brin admitted he didn't know how to think about preparing kids for an AI world, he was being more honest than he realized. There isn't a blueprint for how this is done. There never was.

My dad didn't have a strategy for raising a child who could handle the internet age. He just trusted that I'd figure it out when the time came.

Maybe what children need most isn't answers, but confidence in their ability to find them.

Last week, Dario Amodei dropped a bombshell. The CEO of Anthropic, maker of Claude AI, predicted that artificial intelligence could eliminate 50% of entry-level white-collar jobs in the next one to five years, potentially driving unemployment to 20%.

The media response was swift and apocalyptic. "White-collar bloodbath" screamed the headlines.

LinkedIn's Chief Economic Opportunity Officer, Aneesh Raman, piled on, warning that college graduate unemployment had already risen 30% since September 2022. His research suggested that professionals with advanced degrees are more likely to see their jobs disrupted than those without.

But the hysteria obscures a more fundamental question: Why are we fighting to preserve jobs that make people miserable?

The Entry-Level Experience Myth

Yes, landing entry-level positions and internships has become brutally competitive. Companies are using AI to handle tasks once reserved for junior employees. Research, data entry, basic analysis, and content creation now happen at the click of a button. The traditional ladder, where you start at the bottom and learn on the job, is losing its bottom rungs.

This leads to an obvious concern: How will college graduates gain experience if they can't get hired?

But here's a better question: Why do you need some company's permission to get experience?

In my 20 years in the corporate world, I learned that companies rarely teach you anything. I had more than a dozen bosses during those years. While many were lovely people, they relied on me to know what I was doing instead of teaching me anything. One boss told me straight out: "I have nothing to teach you."

Today, anyone with internet access can learn virtually any skill and build a portfolio demonstrating real capability. The notion that you need a corporate job to gain experience is becoming as outdated as the fax machine.

The Factory Floor Revelation

Another question. Why are we still talking about white-collar versus blue-collar anyway? This artificial divide treats office jobs as supposedly superior, and that’s part of the problem.

I'm obsessed with touring factories. I look for them whenever I travel. Since the U.S. has so few factories open to the public, most of my tours have been in Europe. Leather workshops, automotive plants, and umbrella manufacturers are just a few examples.

Nothing made me question the distinction between white-collar and blue-collar work more than the Maserati factory tour in Modena, Italy.

Before you dismiss this as a luxury brand story, let me explain. The facility itself was surprisingly basic. You could walk by without noticing it except for the sign. Inside, it had huge windows and tons of natural light. The floors were incredibly clean, cleaner than most restaurants where people eat food.

What really stood out was that I couldn't tell who was doing “white-collar” or “blue-collar” work. The engineers on the floor were technical experts who clearly took pride in what they did. More employees worked in offices developing technological breakthroughs than on the assembly line. Robots handled hazardous painting tasks in sealed chambers.

The old distinctions had become meaningless. Everyone was using technology and solving problems.

The Failed Experiment

For generations, we've believed office work represented progress.

Working in those skyscrapers was supposed to be the pinnacle of success. But this has all been one giant experiment, and honestly, it hasn't gone very well.

Just scroll through LinkedIn for five minutes, and you'll find a remarkably consistent set of complaints:

• Workers are burned out.

• Managers are terrible.

• Corporations are evil.

Gallup's research consistently shows that over 70% of employees are disengaged. They come to work solely for the paycheck, ready to quit at the first opportunity.

We created a system where most people are miserable most of the time, and now we're panicking because AI might take away these soul-crushing jobs? If AI can handle the work that's making people unhappy, why are we fighting so hard to preserve it?

Real Problems Need Real Solutions

The doomsayers miss a crucial point. As long as problems exist in the world, there will be jobs for people to do. We're clearly not living in a utopia.

Look around. Regardless of your political affiliation or economic status, everyone agrees that the world faces enormous challenges. Spend two minutes on social media, and you'll compile a lengthy list of grievances.

Climate change, healthcare, education, infrastructure, inequality. Pick your crisis.

Progress requires innovation, and innovation requires human creativity, judgment, and initiative. The jobs aren't disappearing. They're transforming into something potentially much better than what we have now.

We're already seeing this play out. Resources saved through AI deployment are being redirected into other areas. While some jobs are being eliminated, new ones are being created.

It's the same pattern we've seen with every major technological shift. The printing press didn't eliminate the need for writers. It created an explosion in literacy and publishing. The internet didn't destroy commerce. It transformed how we buy and sell everything.

The tech industry is obsessed with AGI and ASI (artificial general intelligence and artificial super intelligence).

But I believe we're capable of much more than we've had a chance to demonstrate because we've been stuck in manual, meaningless jobs. Now we have a chance to elevate ourselves and tackle problems that seemed unsolvable before.

A Note on Risk

I'm not naive about AI's dangers. In the wrong hands, this technology can cause tremendous harm. Privacy violations, algorithmic bias, deep fakes, automated misinformation campaigns, and cyber warfare capabilities keep security experts up at night and for good reason. These risks are real and frightening.

However, since I write about jobs and the future of work, not politics or cybersecurity, I'll note that even these risks create opportunities for new jobs.

The Real Choice

Eight months ago, I wrote an article, I'm Worried, about rising unemployment among young professionals and the lack of attention it was getting.

Now we've swung to the opposite extreme, with dire predictions of mass joblessness that ignore both history and human adaptability.

The truth, as usual, lies somewhere in the middle. AI will eliminate some jobs, particularly repetitive, rule-based work that shouldn't require a college degree anyway. But it will also create opportunities we can't yet imagine, just as the internet spawned entire industries that didn't exist in 1990.

Instead of clinging to an employment model that leaves 70% of people miserable, we should embrace this chance to build something better. The real tragedy would be fighting to preserve jobs that make us unhappy when we could be solving problems that matter.

Curated Articles & Opportunities

• Connor Grennan: The Entry-Level Crisis that's actually your Opportunity

• Tim Denning: To Do Your Best Work, Use the 85% Rule

• Alina Okun: How to Monetize Your Expertise as an Advisory Board Member

P.S. If you’re ready to discover income opportunities that match your expertise, learn more here.

Table of Contents

1. Introduction: What Is an Advisory Board Member?

2. Why Consider Advisory Board Service as a Monetization Opportunity?

3. Who I…

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The answer was:

Wellness. Love. Experiences. Business. Money. Spirituality.

No kidding. Can these categories be any broader? The takeaway from the webinar was to go serve people in these niches.

After years of taking countless courses and signing up for dozens of programs, this generic guidance remains the most infuriating part.

One could argue our entire education system suffers from the same problem. We teach everyone the same things under the premise of creating "well-rounded" individuals.

The Two Types of Advice That Don't Work

We tend to get career guidance that falls into two categories.

First, the generic platitudes like "the finance industry pays well" or "wellness is a growing market." This is about as helpful as knowing that restaurants serve food.

Second, someone's personal success story positioned as a universal truth. "I made millions doing X, so you can too!"

Neither approach works because they ignore what makes each of us unique. This is why so many pursue wrong careers or businesses. Not wrong in an overarching sense, but wrong for them.

The Question That Started My Search

In 2010, I found myself in a moment of complete desperation. I was working in a role that was so clearly wrong for me that I was ready to liquidate my 401K to purchase a franchise.

I called a life coach I'd worked with years prior and told her my plan.

"Don't do it," she said.

"If not this, then what?" I asked.

"There are thousands of ways to make a living," she replied.

But I couldn't see them. I didn't know what was possible outside the universe I was in. So I bought the franchise anyway.

I've never forgotten that feeling of knowing there were options out there I simply couldn't see.

Why We Can't See Better Opportunities

After completing more formal and independent education than 99% of the population and after hiring coaches and consultants, I've come to understand something fundamental.

We're blind to our own possibilities without outside perspective. We take for granted what we know and can't objectively assign value to our own expertise.

So we use shortcuts. We either go into fields that pay more on average, or we follow the path of someone whose life we aspire to have.

That's why so many fail. If your chosen field isn't the right fit for you, you won't succeed. If you try to blindly copy someone else's approach, you won't get the same results because you are not them.

What Changed Everything for Me

Since that desperate moment in 2010, I've spent years studying the world of work from every possible angle. I've examined it through the lens of investors, academia, business leaders, entrepreneurs, EdTech companies, middle managers, and recent graduates.

When you do that, the pattern becomes clear.

The people who thrive don't chase profitable niches. They experiment and get personalized guidance to find the path that is right for them.

The Shift That's Happening Now

The biggest change in the world of work is that people have stopped pretending they're happy with their jobs. COVID had a lot to do with it.

On top of that, professionals now realize that everything they've spent their careers building is at risk from AI and automation.

This makes finding alternative income paths more urgent than ever.

An Invitation

I'm opening 5 spots this month in my Professional Income Advisory.

This is personalized guidance that's 100% customizable to you. We have a real conversation about your specific situation, where you can express needs and goals that no personality test or framework could capture.

When professionals tell me about their struggles, I can often see possibilities they can't. After just a few questions, it becomes clear what they could be doing. They miss these opportunities because they've never done anything like it or known someone who has.

Sometimes you just need another person to point out options you couldn't see for yourself.

If this resonates with you, learn more here.

P.S. That coach I spoke with back in 2010 was right. There are thousands of ways to make a living, but only a handful that align with who you are and what you already know.

Testing a New Format

I've noticed something recently. While I spend hours agonizing over word choice in my articles, what people value most when I do my talks is the resources I share.

So I'm going to try something new. Each week, I'll curate the best insights on monetizing expertise and the world of work I’ve read recently.

Curated Articles & Opportunities

🤖 AI & Your Career

AI is coming for us (here's my plan) (Justin Welsh) Justin explains why he's hedging against AI by doubling down on being human through community building and genuine relationships.

Careers in the Pre-Singularity Age: Is Everything Already Lost, or Are We on the Verge of Reinvention? (Pavel Luksha) Pavel maps five major shifts coming to work between now and 2050.

📚 Skills That Matter

AI Thought Leader School (Michael Simmons) Michael has launched a school teaching how to monetize prompt engineering, create AI-enhanced content, and use AI to augment human intelligence.

🎯 Strategic Moves

The opposite of hard work isn't easy, it's soft (Anna Mackenzie) Anna explores how aligned work can require intense effort while feeling effortless when pulled by purpose.

Here's Why 99% of People Stay Stuck for Their Whole Lives (Tim Denning) Tim argues that embracing chaos, taking calculated risks, and focusing on one goal separate the 1% who break free from everyone else.

💰 Income Strategies

The Fractional CFO Playbook (Alina Okun) My latest analysis on how experienced finance professionals build six-figure businesses serving multiple companies part-time as fractional executives.

Maven: Micro-Consulting Gigs for Anyone (Kathy Kristof) Kathy reviews a platform that connects professionals with micro-consulting opportunities.

What else should I be reading? I'm particularly interested in Substack newsletters that take a thoughtful approach to professional development and income opportunities.

Ready to discover income opportunities that match your expertise? Join the Professional Income Advisory. Learn more here.

Introduction: What Is a Fractional CFO?

A Fractional CFO is a seasoned financial executive who provides high-level financial strategy, m…

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For decades, we've been taught to differentiate ourselves from others in the job market by:

• emphasizing our experience

• highlighting our unique skills

• showcasing our credentials

That approach is now obsolete.

The Value Equation Just Changed

This career strategy worked when your competition was only other humans. Today, the old interview question ("Why should we hire you instead of someone else?") has been replaced by a much simpler one:

"Are you better than AI?"

Think about what that means. You're up against an AI agent that:

• Works 24/7 without complaining

• Costs pennies per task

• Learns at an exponential rate

• Never asks for healthcare or a corner office

IBM's CEO has openly stated that roughly 30% of back-office roles could be handed to AI within five years, freezing hiring for 7,800 positions. Dell eliminated thousands of positions while simultaneously creating a new AI division. The pattern is unmistakable.

Presence in the office is no longer proof of value.

So, what does create value in this new reality? I've spent years watching which professionals succeed despite AI's rapid advancement.

The Human Edge Index

The pattern I've noticed points to four uniquely human strengths.

1. Personal Story Advantage

Nobody can compete with you at being you. When I write now, I ask myself, "Am I sharing something only I could say?" I've pushed myself to share more personal stories because my lived experiences create a perspective no AI can replicate.

2. Complex Decision Making

Picture a merger where layoffs, compliance rules, and community backlash all collide. These messy situations are where human judgment shines because it requires the ability to make calls with incomplete and contradictory information across multiple domains, especially when there's no clear 'right' answer but someone still has to decide.

3. Breakthrough Innovation

AI can create variations of existing ideas, but humans generate ideas that set new categories. Think of this like a difference between writing another love song versus creating an entirely new musical genre.

4. Trust Building

Trust remains the ultimate career currency. AI might simulate friendliness, but your ability to genuinely understand others and build meaningful trust creates value that algorithms can't duplicate.

The $1,500/Hour Human in a 3-Cent AI World

Let's see how this plays out in the legal profession, where AI is rapidly transforming entry-level work.

What makes a lawyer truly valuable? Is it their knowledge of legal contracts, or the intuition they've built from years of complex cases?

Researchers timed GPT-4 against junior attorneys on contract review. The AI finished in under five minutes. Junior lawyers needed almost an hour. Accuracy was similar, and the model's cost was 0.03% of human fees.

Yet clients still pay senior partners $1,500 an hour. Why?

Large cases hinge on nuance. The value isn't in the template work but in the instinct to notice the six-word clause that could collapse a settlement. That instinct comes from repeated exposure to rare cases, something models cannot yet replicate at will.

Junior lawyers with low Human Edge Index (HEI) scores are being replaced. Partners with high HEI scores are raising their rates.

I experienced this value shift recently in my own business. I've been using AI tools for years, even before ChatGPT. These tools provided good advice and analysis, but I still found myself stuck on certain business challenges.

Recently, I hired a business coach who had built the exact type of business I wanted to create. The value difference was clear immediately. He recognized my situation because he'd seen dozens of entrepreneurs facing identical challenges.

What made him worth the high fee wasn't his knowledge. It was his pattern recognition from real experience. This is what I mean by a high HEI.

Building Your Own Human Edge

It will be very hard for many knowledge workers to accept that their knowledge is no longer valuable. Then, how do you increase your own HEI in a world where technical knowledge has become a commodity?

Embrace complexity

Most automation-resistant roles require navigating ambiguity across multiple domains.

Cultivate rare experiences

The more unusual the combination of your experiences, the more unique your pattern recognition becomes.

Develop your authentic voice

Share not just what you know but what you've lived.

Practice intuitive leaps

Train yourself to articulate the "why" behind your gut feelings.

Build relationship depth

AI can simulate empathy, but cannot create a genuine human connection.

The Interview Question That Changes Everything

When I speak with forward-thinking executives, I notice they're changing their hiring approach. The screening question isn't about years of experience or industry knowledge anymore. It's:

"Tell me about a decision you made that AI could not have made alone."

Those who can answer this question compellingly demonstrate their HEI. Those who can't may soon find themselves competing with software that's cheaper, faster, and never asks for a raise.

The Bottom Line

AI isn't a rival species. It's the new floor of competence. The ceiling is still set by human imagination.

The value equation in today's workplace has fundamentally changed. Technical skills that once commanded premium salaries are rapidly becoming commoditized. Meanwhile, the human capacities I've described (personal storytelling, complex judgment, breakthrough innovation, and trust-building) are gaining economic value.

Those who develop these distinctly human strengths will navigate this shift successfully. Those who don't, risk competing in a race to the bottom against technologies designed specifically to replace routine knowledge work.

Perhaps the most important career question becomes much simpler:

"What value do you create that an AI can't?"

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After decades of conditioning ourselves to think, act, and speak like machines, we've lost touch with our essential humanity. Now, as AI mimics our mechanized behavior with frightening precision, we face an identity crisis that runs far deeper than career anxiety.

The Great Forgetting

A week ago, I made a presentation at a private leadership community on how to stay relevant in the age of AI. One of the things I mentioned is that we need to rely more on human judgment. Someone asked me what I meant by “human judgment” and how to actually use it in real life.

It was a question that gave me pause. Have we forgotten how to trust our own judgment?

This isn't a matter of intelligence or capability. We've slowly drifted away from what makes us distinctly human. I see it in corporate meetings where people automatically defer to "what the data says" without questioning the assumptions behind the analysis. I hear it when someone insists we need to "follow the process," even when the process clearly isn't working in a particular situation.

What I'm Noticing

When faced with difficult decisions, we increasingly turn to frameworks, matrices, and algorithms rather than develop our capacity for nuanced judgment.

Organizations spend millions on "change management" processes that attempt to make human adaptation as predictable and mechanical as software updates.

The moment someone raises a concern based on intuition or embodied knowledge ("something feels off about this"), they're often asked for "data to back that up."

This pattern reveals a deeper truth. We've come to believe that optimization is the highest value and uncertainty is a problem to be solved rather than a natural part of being human.

How did we arrive at this point of forgetting?

From Human to Machine

Back in 1958, the philosopher Hannah Arendt mapped human effort into three clear buckets. The map still helps us judge what AI can (and can't) replace. She called the buckets:

• Labor: Repeating tasks that sustain life.
  

• Work: Building durable things that shape the world.
  

• Action: Beginning something new together in public, through words and deeds that reveal who we are.

For decades, our economic system rewarded those who excelled at labor and work. We became skilled at repetitive tasks, at creating deliverables, and at optimizing processes. We learned to speak in corporate jargon, to suppress emotion, to follow prescribed formulas for success.

And now AI excels at both labor and much of what Arendt called work. What remains distinctly human is action, yet this is precisely the area we've neglected to develop.

The tragedy isn't that AI might replace us. It's that we've spent so long replacing our humanity with machine-like behavior that we barely remember what being human feels like.

Voices from the Mechanized World

Last summer, I asked my LinkedIn community to share the language we use to describe our working lives. The responses were telling:

Rat Race. Cubicle Farm. Human Capital. Wage Slavery. Corporate Prison. Soul-Sucking Job. Dead-End Job. Hamster Wheel. Golden Handcuffs. Disposable Worker. Cog in the Machine.

Those phrases are warning signs. They're symptoms of a profound alienation from our humanity. We've normalized a way of working that treats people as interchangeable parts, as resources to be optimized.

When we describe ourselves as "cogs" or our workplace as a "farm," we're not just using colorful metaphors. We're expressing a deep truth about how dehumanized our work has become.

We didn't just let this happen to us. In many ways, we eagerly participated in our own dehumanization, believing that becoming more machine-like would make us more valuable.

The Artificial Mirror

Now, AI holds up a mirror to our mechanized selves, and the reflection is unsettling. When ChatGPT can write a convincing corporate memo or marketing plan, it's not just performing a task. It's revealing how formulaic, how algorithmic, our professional expressions have become.

This raises a profound question. If a machine can so easily replicate what I do, what does that say about how I've been working? Have I been functioning as a proto-algorithm all along?

The revelation isn't that AI is remarkably human-like. It's that we've become remarkably machine-like.

This mirror effect explains the existential anxiety many professionals feel about AI. It's not just fear of replacement, but recognition of how we've hollowed out our own humanity to succeed in systems that value predictability over creativity, compliance over judgment.

Beyond the Algorithms of Self

This mechanistic thinking has crept far beyond our professional lives. Look at how we approach our personal development and wellbeing now. We've begun to think of ourselves in algorithmic terms: optimizing our sleep, quantifying our health, measuring our social connections through likes and follows.

These approaches aren't inherently wrong, but they reveal how deeply we've internalized a mechanistic view of ourselves. We treat ourselves like dashboards instead of living beings.

Yet, the richest human experiences often defy measurement. The moment of connection with a loved one. The flash of creative insight. The sense of wonder in nature. The feeling of being truly seen and understood. These experiences aren't optimizable. They arise from our messy, emotional nature.

Let's ask ourselves how we can reclaim these essentially human qualities in a world that increasingly rewards machine-like behavior.

Rediscovering Human Judgment

As I've explored the concept of Career Humanism over the past year, I've come to see judgment as central to our humanity in the workplace. But what exactly is human judgment?

It's not simply making decisions. It's weighing competing values, navigating ambiguity, and taking responsibility for choices in complex situations where there is no single "right" answer.

Our workplaces have systematically devalued this uniquely human capacity. We've replaced it with "best practices," standardized processes, and metrics that give the illusion of objectivity. We've created elaborate approval systems that distribute responsibility so widely that no one person feels accountable for outcomes.

AI can follow complex decision trees and optimize for programmed objectives. But it cannot make true judgments because it has no skin in the game, no capacity to feel the weight of responsibility, no ability to balance competing values that cannot be reconciled through calculation alone. This is human territory, yet we spent decades acting as if it were a bug to fix.

The Practice of Being Human

If we accept that reclaiming our humanity is both necessary and valuable, how do we actually do it? What concrete practices can help us recover capacities that have atrophied through disuse?

Reclaiming our humanity isn't a one-time decision but a daily practice. Drawing from ancient and modern philosophy, my research on human judgment has revealed several practices worth trying:

Trust your voice. Instead of hiding behind others' ideas or research citations, dare to speak from your own experience and insight. Your unique perspective, formed through your individual journey, is something no AI can replicate.

Embrace your body's wisdom. Our embodied nature gives us access to intuition and felt sense that pure logic can't match. Notice what your body tells you in crucial moments.

Make consequential judgments. Seek opportunities to exercise real judgment, where decisions matter, where multiple values are at stake, where there's no formula for the right answer.

Build genuine relationships. In an age of networked connections, the ability to form deep, trusting relationships becomes even more valuable.

These practices might seem simple, but they're countercultural in environments that prize data over intuition, consensus over individual voice, and transactions over relationships. They require courage and a willingness to risk being wrong, which are qualities that machines will never possess.

A Call to Human Flourishing

What if this moment isn't just a crisis but an opportunity? What if AI is forcing us to rediscover aspects of our humanity that our mechanized work culture has long suppressed?

This is where my concept of Career Humanism becomes not just a philosophical idea but an urgent practical necessity. I defined Career Humanism as:

"A holistic and human-centered approach to career development that prioritizes individual wellbeing, personal growth, and meaningful work."

I believe we're standing at the threshold of what could be a Human Renaissance, a rediscovery of our essential humanity after decades of mechanization.

Just as the original Renaissance followed the Dark Ages in Europe and launched an era of incredible progress in art, science, and human potential, this moment of profound disruption could lead to a new appreciation for what makes us uniquely human.

But this won't happen automatically. It requires us to consciously choose a different path, to value human judgment over algorithmic efficiency, to create workplaces that nurture our full humanity rather than just our productive capacity, to measure success not just in output but in meaning.

A Question Worth Considering

When was the last time you trusted your judgment over data, your intuition over process, or your humanity over efficiency?

If you struggle to remember, perhaps that's the strongest evidence that we need to reclaim what makes us human before we forget completely.

MonetizeSkills Playbooks

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How to Compete in the AI World

This week, I want to talk about a surprising way you need to start thinking as AI becomes part of our everyday lives.

The worst thing formal education has done to us is it's made us perfectionists. The more educated you are, the worse this might be for you in the new world.

In school, we strive to be good students. A good student is one who gets high grades. Exceptional students are the ones who get top grades. What you want to be in that environment is the best. Be at the top of your class, and doors will open up for you.

"Be the best." That's a dangerous phrase because no matter how good you are, you're still human. No matter how much you know, AI will know more. No matter how thorough you are, AI will be more thorough.

We may not be there right now, but AI will be better than any human because the tech world is obsessed with reaching Artificial General Intelligence (AGI), meaning AI could perform any intellectual task that a human can. Depending on whom you ask, we're 2 to 10 years from that point.

So, what do you do in this world? Stop trying to be the best. Learn to be you.

My Personal Experience

In 2024, I published 52 newsletters about the lives of legendary artists. I'm not an artist or an art historian, but I love going to art museums. Many times when I stand in front of a painting, I get curious about the person who painted it. What was their inspiration? How did they decide on that medium or composition?

Every week last year, I'd spend several hours researching an artist's life, focusing especially on what made them unique. Then I'd publish a roughly 800-word newsletter. I started with zero subscribers. In a few months, I had hundreds of active subscribers who'd engage and comment on my posts.

But here's the surprising part. When I came up with this newsletter concept, I thought it would be for art beginners. People who didn't know much about art but wanted to learn in an easy way. What ended up happening is that most of my subscribers were artists, photographers, and people who already knew more about art than I did. They simply wanted a different perspective on the topic they loved.

When I published an article about Edward Hopper, my subscriber base doubled in days. My article on Wassily Kandinsky led to emotional responses expressing how much his work spoke to them.

All these people didn't subscribe to my newsletter because I was the best art writer or historian. They subscribed because I had a unique point of view.

That experience taught me something important: while AI can master any subject, it can't develop a distinctive voice. That's purely human.

Learning is easy. Unlearning is hard.

The education system made us think that to share anything, it needs to be perfect. But what if waiting for perfection means never finding your own way of seeing things?

I still struggle with this concept. For example, I spend 2-3 times more time editing my writing than actually writing. The biggest advice I've gotten from people who wanted to help me is to stop waiting until I'm 100% ready.

Colin Powell had a 40-70 rule. You need between 40 and 70% of the total information to make a decision. AI will have access to 100% of the information in any field. But if we wait for that much information, either AI has already solved the problem, or the opportunity has passed.

The difference between succeeding and failing in the AI world won't be how much we know. It'll be how we see things differently. It is not how we become the best at something, but how we develop our own perspective when everything around us changes.

So I ask myself these questions now:

• What do I see differently because of my experiences?

• What perspectives can I offer that nobody else can?

• What am I afraid to share because it's not perfect enough?

Because the truth is, when AI can master any skill, our unique perspectives become our competitive advantage. AI can compile, regurgitate, and even analyze facts, but it can't generate the lens through which you see the world. That's yours alone, and it only develops when you're willing to share your thoughts before they're polished to perfection.

Table of Contents

1. Introduction: What Is an Expert Witness?

2. Why Consider Expert Witnessing as a Monetization Opportunity?

3. Who Is Best Suited for Expert Witnessing?

4. What Does an Expert Witness Do?

5. Types of Expert Witness Engagements

6. Qualifications and Requirements

7. How to Get Started as an Expert Witness

8. Real-Life Examples of Expert Witnesses

9. The Income Potential

10. Challenges and Considerations

11. Tools and Resources for Expert Witnesses

12. Conclusion

Introduction: What Is an Expert Witness?

An expert witness is a professional with specialized knowledge who helps judges and juries understand complex evidence in legal cases. Think of them as teachers who explain difficult concepts to people who need to make important decisions. Unlike fact witnesses, who simply share what they personally saw, expert witnesses apply their expertise to offer opinions that help courts make informed decisions.

The American legal system heavily relies on these specialists to translate technical matters into terms anyone can understand. Their insights often significantly influence case outcomes, making their expertise incredibly valuable.

Why Consider Expert Witnessing as a Monetization Opportunity?

Financial Benefits

Let's talk real numbers: Expert witnessing is exceptionally lucrative. Hourly rates typically range from $125 to over $1,000, with most established experts charging $300-$500 per hour. Many professionals earn $100,000 or more annually by dedicating just one day per week to this work. Top experts in high-demand fields can generate over $1,000,000 per year.

Recent industry data shows median fees continue climbing:

• Document review and preparation: $450/hour (up 12.5% since 2021)

• Depositions: $475/hour

• Trial testimony: $500/hour

Additional Benefits

Beyond the impressive paychecks, expert witnessing offers several attractive perks:

• Flexibility: Most work is done from home, making it perfect for professionals seeking extra income without commuting to an office.

• Mental stimulation: Each case presents unique challenges that keep your brain engaged.

• Professional growth: You'll constantly encounter new scenarios that expand your knowledge.

• Impact: Your specialized expertise helps ensure fair outcomes in the justice system.

Who Is Best Suited for Expert Witnessing?

Expert witnessing works best for professionals who have:

1. Deep expertise: Specialized knowledge in a specific field

2. Clear communication skills: The ability to explain complex ideas in simple terms

3. Confidence under pressure: Comfort with being questioned and challenged

4. Good time management: The ability to deliver quality work on tight deadlines

5. Professional credibility: A reputation for honesty and objectivity

Here's what's surprising: You don't need prestigious academic credentials from elite universities. What matters is having specialized knowledge that helps juries understand complex information. And age isn't a factor either. Professionals can start expert witnessing whenever they feel confident in their expertise, whether they're early in their careers or approaching retirement.

What Does an Expert Witness Do?

Expert witnesses typically handle several key responsibilities:

1. Review documents: Examining case materials, reports, and evidence

2. Investigate: Conducting independent research and analysis

3. Research standards: Studying applicable guidelines and precedents

4. Form opinions: Developing well-supported conclusions based on expertise

5. Write reports: Documenting findings clearly and thoroughly

6. Consult with attorneys: Advising on technical aspects of the case

7. Give depositions: Providing sworn testimony before trial

8. Testify in court: Explaining complex matters to judges and juries

This work creates a bridge between specialized knowledge and legal understanding. Many experts find it deeply satisfying to apply their expertise in resolving complex disputes while ensuring fair outcomes.

Types of Expert Witness Engagements

Expert witnesses contribute to various legal proceedings across multiple areas:

Civil Litigation

• Personal injury cases

• Medical malpractice

• Product liability

• Construction accidents

• Insurance claims

• Business disputes

Criminal Proceedings

• Forensic analysis

• Accident reconstruction

• Mental health evaluation

• Financial fraud investigation

Family Law

• Child custody matters

• Property valuation in divorces

• Business asset valuation

Specialized Fields

Medical experts assess injuries and treatment standards. Engineering experts evaluate product safety and building code compliance. Financial experts analyze damages and business valuations. Forensic experts examine evidence in both criminal and civil contexts.

The possibilities are virtually limitless. Any field with specialized knowledge that can help courts make decisions has potential for expert witnesses.

Qualifications and Requirements

Essential Components

To get started in expert witnessing, you need two fundamental tools:

1. A solid Curriculum Vitae (CV): This needs to highlight your education, experience, publications, and credentials. Be meticulous here. Opposing attorneys will scrutinize every detail looking for weaknesses.

2. A clear retention contract: This agreement should outline your scope of work, compensation, confidentiality terms, and performance expectations. A good contract prevents misunderstandings and payment issues down the road.

Establishing Credibility

Your credibility comes from multiple sources:

• Professional credentials: Degrees, certifications, and licenses

• Hands-on experience: Years working in your field

• Industry recognition: Awards and leadership positions

• Publications: Books, articles, and research

• Speaking experience: Conference presentations and lectures

• Specialized training: Advanced courses and continuing education

Remember, expert witnessing thrives on reputation. Most new cases come through word-of-mouth referrals, making credibility and quality work essential for long-term success.

How to Get Started as an Expert Witness

There are several proven pathways to finding expert witness opportunities:

1. Networking and Referrals

Most experts get their first cases through professional connections. Attorneys regularly ask colleagues for recommendations when they need specialized expertise. Building relationships within your industry and legal community naturally creates opportunities.

2. Focusing on a Specialized Niche

Successful expert witnesses typically concentrate on specific areas rather than positioning themselves as generalists. Attorneys want specialists with deep knowledge in particular niches, not "jacks of all trades." Finding underserved specialty areas significantly boosts your marketability.

3. Developing a Strong Online Presence

Attorneys routinely Google potential experts before making contact. A professional website, a complete LinkedIn profile, and a carefully managed online presence can dramatically improve your discoverability. Regular content about your specialty helps establish your authority and increase visibility.

4. Utilizing Expert Witness Directories

Professional directories designed specifically for expert witnesses help attorneys find qualified professionals, such as SEAK, Expert Institute, and ForensisGroup. These platforms provide exposure to attorneys searching for specialized knowledge.

5. Engaging Referral Services

Specialized brokers connect attorneys with appropriate experts. These services screen cases and experts, facilitating matches based on expertise and case requirements.

6. Publishing and Speaking

Creating articles, books, or presentations on specialized topics establishes your authority and increases visibility. Publications provide tangible evidence of your expertise that attorneys can evaluate.

7. Leveraging Professional Social Media

Platforms like LinkedIn allow you to showcase credentials, share insights, and connect with legal professionals. Strategic social media activity increases your visibility to potential clients.

Real-Life Examples of Expert Witnesses

Cosmetology Expert - Laura DuPriest

Laura's journey into expert witnessing started in the most unexpected way while doing a client's hair at her salon in Sacramento. The client happened to be an attorney and asked her a strange question about how makeup can cover bruises.

It turned out the attorney was handling a domestic violence case where one party claimed the other had used makeup to fake injuries. Laura agreed to look at the evidence and testified in court. Though she wasn't formally an "expert witness" at that point, just a makeup artist sharing her knowledge, the experience opened a door.

A few years later, a law firm from Oregon called asking if she could be their expert on a case. Laura didn't even know what it meant to be an "expert" in the legal world. She agreed to review the file and shared her opinion by phone, only to be asked for a formal written report.

What started as "a trickle" of one case a year has grown into a substantial practice where she analyzes cases involving cosmetic fraud, improper techniques, and makeup-related injuries. Her specialized knowledge of how makeup products work and application techniques has proven invaluable in cases where distinguishing between real and fabricated injuries matters.

Medical Expert - Dr. Stephen Cohen

Stephen's first taste of expert witnessing came during his surgical residency when he was subpoenaed to testify about brain matter he'd observed in a gunshot wound victim. The experience sparked his interest in how medicine and law intersect.

When he finished his training and started his practice in Atlanta in 1994, his senior partner casually asked if he'd be interested in reviewing a case because he was too busy. Stephen agreed, especially after hearing he'd get paid for it.

He quickly discovered that his doctor's skills translated perfectly to expert witnessing. Both roles involve examining evidence, forming opinions, and explaining complex concepts to people who don't have medical training.

"A well-rounded, successful, and competent expert witness has to be able to teach medicine to juries, attorneys, and courts because none of those groups know medicine," he explains. "I don’t know the law, for sure, but nobody else knows medicine other than those doing it on a day-to-day basis."

He now analyzes surgical procedures in malpractice cases, reviewing medical records to determine if complications resulted from negligence or were just known risks of the procedure.

Mechanical Engineering Expert - David Smith

David's path to becoming an expert witness runs in the family. His grandfather started an engineering consulting company in the 1970s, and his father continued the tradition by founding Alpine Engineering and Design.

They specialized in designing heavy equipment, such as garbage trucks, dump trucks, and scissor lifts. Because they developed such deep expertise in these specialized vehicles, attorneys naturally started coming to them when accidents happened.

As David joined the company, he started supporting his father's cases: doing research, conducting tests, and helping draft reports. Eventually, he began handling his own cases.

In one memorable case, David discovered how a trucking company's poor maintenance and unrealistic demands contributed to an accident where an operator was run over by his own truck. By analyzing extensive evidence, including police bodycam footage, he uncovered that the company knew about unsafe practices but did nothing to prevent them.

"Sometimes there are cases where someone’s trying to get money from someone that shouldn’t be paying that money, or someone’s trying not to pay someone money that I feel they should be reasonably paid," he says, explaining the satisfaction that comes from helping ensure fair outcomes.

Economics and Internet Expert - Sameer Somal

Sameer stumbled into expert witnessing through his work at Blue Ocean Global Technology. After providing technical services to PR firms who referred him to law firms, a prestigious legal firm approached him directly.

The attorneys explained that he was perfect because he wasn't a "professional expert witness" but rather ran a company serving hundreds of clients. They valued his practical experience with digital advertising, online reputation management, and technology development.

"You speak at events all over the world. You author CLE programs, and we know you’d be good in front of a judge and a jury. Why don’t you give it a shot?" they suggested.

That was his point of no return. Now he regularly analyzes digital marketing campaigns, evaluates online traffic patterns, and explains complex internet technologies to courts. His combination of technical knowledge and business understanding makes him particularly effective in cases involving digital assets and internet-based business models.

Economics Expert - Dr. Charles Parekh

Charles fell into expert witnessing right after graduate school through pure chance. He was finishing his master's degree at the University of Chicago during the tech boom when jobs were plentiful.

"A professor of mine that I liked who was an economist at the University of Chicago, where I did a master’s degree, said, ‘I work for a consulting firm. Do you want to come join?' I said, 'Sure,'" he recalls.

He showed up on his first day and asked, "What do we do?"

It turned out the firm did expert testimony work for the US Postal Service, justifying rate increases before the Postal Rate Commission. While he enjoyed the expert work, he didn't want to focus exclusively on postal matters, so he expanded into other economic analysis areas.

"The fulfilling part of the job is you're teaching," he explains. "In this case, you’re not teaching in a classroom, but you’re teaching a jury, a judge, or an arbitrator about the case."

He points out that expert witnessing lets him use all those academic concepts people said he'd "never use" in real life. "At my desk, I have all of my academic textbooks, and I refer to them," he says, describing the satisfaction of putting theoretical knowledge to practical use.

For over 100 more examples of real-life expert witnesses, check out the Engaging Experts podcast.

The Income Potential

Expert witnessing offers impressive income potential that can either supplement your existing career or develop into your primary income source:

Fee Structures

Most expert witnesses charge hourly rates ranging from $125 to over $1,000, with established experts typically commanding $300-$500 per hour. Recent industry data shows consistent increases in median rates:

• Document review and preparation: $450/hour

• Deposition testimony: $475/hour

• Trial testimony: $500/hour

These rates vary by specialty, with fields like medicine, engineering, and high-level financial analysis commanding premium fees. Many experts use tiered rates, charging different amounts for different activities.

Annual Earnings

Many professionals earn $100,000+ annually dedicating just one day per week to expert work. Top experts in high-demand fields can generate over $1,000,000 per year. Since most work can be done from home or existing offices, overhead costs remain minimal, maximizing profit margins.

Over a career, expert witnessing can generate millions in supplemental income while offering the flexibility to maintain your primary professional practice or teaching position.

Challenges and Considerations

While financially rewarding, expert witnessing comes with several challenges:

Professional Scrutiny

Expect intense scrutiny from opposing counsel. Your credentials, methodology, and conclusions will be challenged, often aggressively. This environment requires confidence, poise, and the ability to defend your professional opinions without becoming defensive.

Time Management

Cases frequently involve tight deadlines, requiring you to balance witnessing responsibilities with existing professional obligations. The deadline-driven nature of litigation demands disciplined time management and prompt responsiveness.

Travel Requirements

While much preparation can be done remotely, in-person appearances for depositions and trials may require travel, especially if you accept cases in multiple jurisdictions.

Maintaining Objectivity

Effective experts must remain neutral observers rather than advocates. Courts and juries quickly recognize bias, which undermines credibility. Successful experts commit to truthfulness even when their conclusions don't perfectly align with the retaining attorney's case theory.

Reputation Management

In this field, your reputation directly impacts your earning potential. A single poorly handled case can damage your professional standing, while consistently excellent work generates valuable referrals. Building and protecting your professional reputation requires ongoing attention to quality, professionalism, and ethics.

Tools and Resources for Expert Witnesses

Several resources help professionals succeed in expert witnessing:

Training Programs

Specialized training programs teach the fundamentals of expert witnessing, including report writing, deposition techniques, and effective testimony strategies. These programs help prevent common mistakes that can undermine credibility.

Professional Associations

Organizations for expert witnesses provide networking opportunities, continuing education, and resources for practice development. These associations often maintain directories that increase visibility to attorneys.

Legal Knowledge

Understanding relevant legal standards like Federal Rules of Evidence 702, Daubert criteria, and Frye standards helps experts prepare admissible testimony. Familiarity with these frameworks improves effectiveness and reduces vulnerability to challenges.

Mentorship

Working with established experts provides valuable guidance and potentially leads to referrals. Many successful expert witnesses began by supporting more experienced colleagues before handling their own cases.

Conclusion

Expert witnessing represents an incredible opportunity to monetize specialized knowledge while contributing to the justice system. With hourly rates ranging from $125 to over $1,000 and minimal overhead costs, the financial rewards can be substantial.

Beyond the money, expert witnessing offers intellectual stimulation, professional development, and the satisfaction of applying specialized knowledge to important legal matters. While the field presents challenges, including intense scrutiny and deadline pressure, proper preparation and commitment to quality work create pathways to success.

For professionals with deep expertise and the ability to communicate complex concepts clearly, expert witnessing offers a flexible and lucrative way to capitalize on years of accumulated knowledge and experience. By focusing on specialized niches, building credibility, and leveraging professional connections, you can develop a rewarding career sharing your specialized knowledge in legal contexts.

The best part? You can start without quitting your day job, testing the waters with occasional cases until you find the right balance between your primary career and this lucrative side opportunity.

Have you considered expert witnessing before? If you decide to explore this path, I'd love to hear about your experience!

Company Spotlight: SEAK

SEAK has been the expert behind the experts for over four decades.

While you probably haven't heard of them unless you've testified in court, they've quietly built the go-to ecosystem for professionals monetizing their expertise through expert witnessing.

What makes them the real deal is that they run one of the most respected expert witness directories that attorneys actually use. Their annual fee surveys are the industry benchmark that helps professionals know their worth.

They've seen it all. From spectacular expert testimony successes to career-ending mistakes, their practical training incorporates decades of patterns that new experts can learn from rather than painfully discover on their own.

Monetization Idea: Expert Witness Services

Earn premium rates by sharing your specialized knowledge in legal cases

What It Is

Expert witnesses help judges and juries understand complex technical matters in legal cases. When lawsuits involve specialized subjects—from engineering failures to medical procedures to financial analyses—courts rely on subject-matter experts to explain and interpret evidence. As an expert witness, you leverage your professional knowledge to review case materials, form opinions based on facts, prepare reports, and testify about your findings in depositions and trials.

Who It's Good For

• Subject-matter experts who can explain complex concepts clearly

• Individuals with strong credentials (degrees, certifications, publications)

• Specialists in fields often involved in litigation (engineering, medicine, finance, etc.)

How the Monetization Works

Expert witnessing commands some of the highest hourly rates available to professionals:

• Document review & case prep: $450/hour (median rate)

• Deposition testimony: $475/hour (median rate)

• Trial testimony: $500/hour (median rate)

Many experts earn $100K+ per year by working just one day a week. Top specialists in high-demand fields can make $1M+ annually. The notable part is you're paid for your objective expertise regardless of the case outcome.

Example

A mechanical engineer specializing in heavy equipment might be hired to determine whether a truck malfunction stemmed from design flaws, poor maintenance, or operator error. After reviewing evidence and maintenance records, they prepare a detailed report and may testify in court, often earning $3,000–$5,000 per day during trial proceedings.

Practical Steps to Get Started

1. Prepare a comprehensive CV – Emphasize education, experience, publications, and credentials.

2. Develop a clear retention contract – Spell out fees, scope, and confidentiality.

3. Position yourself in a niche – Focus on a specific specialty rather than being a generalist.

4. List yourself in expert directories such as SEAK, Expert Institute, and ForensisGroup.

5. Network within your field – Many engagements come through word of mouth.

6. Seek mentorship – Partnering with seasoned experts offers guidance and referrals.

Key Takeaways

Expert witnessing is one of the highest-paying ways to monetize specialized knowledge without quitting your full-time job. Attorneys come to you for your expertise. You don't need heavy marketing or sales. While deadlines are strict and scrutiny is real, the pay and intellectual challenge make it a standout option for qualified professionals.

Want to Learn More About Becoming an Expert Witness?

This Friday, paid subscribers will receive an in-depth guide: "How Professionals Make $500+ Per Hour: The Expert Witness Path to Six-Figure Side Income."

This comprehensive deep dive includes:

• Real-life stories from professionals who've built lucrative expert witness practices

• Detailed strategies for establishing credibility and commanding top rates

• Valuable resources to help you succeed in this specialized field

Upgrade now to receive this guide and learn how to turn your specialized knowledge into one of the highest-paying side opportunities available to professionals.

Not interested in expert witnessing? No problem! The MonetizeSkills Directory contains 99 more ways to monetize your expertise. Next week, we'll explore another practical approach to earning more from the skills you already have.

My Journey to MonetizeSkills

Over the past three years, my life became a laboratory, and I was the guinea pig. I ran countless experiments to see how professionals could earn more from the skills they already have. I invested tens of thousands of dollars, 20,000+ hours, took over 100 courses, and joined nearly a dozen communities full of others running their own experiments.

The result? I've developed 100 ways to monetize your existing expertise without leaving your full-time job. This is exactly the information I wish I'd had during my corporate career. While I have no regrets about leaving that world behind, I would have navigated my career very differently had I known then what I know now.

Why I Made the Switch

When I first started writing FutureSkill, my focus was on skills professionals would need someday. But that "someday" arrived sooner than anyone imagined. AI agents, new work models, and the sudden disappearance of previously stable career paths have shifted the real question to:

“How can experienced professionals earn more right now without adding a 60‑hour side hustle or leaving the job that pays the bills?”

The phrase "future of work" no longer feels relevant as the traditional white-collar world is unraveling before our eyes.

• Accounting will be unrecognizable in less than two years as AI agents handle 80% of current tasks.

• Legal work is transforming rapidly.

• Medicine is on the cusp of dramatic change.

• IT has already transformed drastically in the past six months.

What's New: The MonetizeSkills Ecosystem

I've created a structured yet flexible ecosystem to help you navigate this new reality:

1. 100-Idea Directory (Free)
Browse practical, step-by-step ways to monetize your existing skills without side-hustle burnout.

2. Resource Directory (Free)
A curated library of trusted tools, platforms, and networks that simplify your path to extra income.

3. Strategic Skill Monetization Guide ($99, lifetime updates)
A worksheet-driven process to narrow 100+ ideas down to the 2-3 that fit your unique skills, schedule, and interests. You'll also receive lifetime updates as I continue refining this framework.

4. Personalized 1:1 Guidance (Limited Availability)
For direct, personalized support, I'm opening a few slots each month to help you find income opportunities tailored specifically to you.

The New Newsletter Format

Every Wednesday, you’ll receive:

• One actionable monetization idea you can test within hours

• One vetted resource to simplify execution

That's it, a quick, practical read designed specifically for busy professionals. With 100 ideas ready to go, my content roadmap is set for the next two years.

My Core Philosophy

Here's the single most important thing I've learned:

“The best way to find your ideal path is through low-risk experimentation when you still have a full-time job.”

Start experimenting now, while financial pressure isn't a factor. Discover what truly fits your interests, your schedule, and your strengths.

What To Do Next

1. Explore the Idea Directory: Most won't appeal to you, but identify 2-3 ideas that make you pause and think, "Huh, that’s interesting."

2. Pick One Idea: Try implementing it over the next month.

3. Make It a Goal: Test a handful of these ideas in 2025. You might be surprised at what you learn about yourself.

I'd Love Your Feedback

This is just the beginning. Your insights and experiences will shape how MonetizeSkills evolves. Please share what's helpful and where you get stuck. I read every reply.

I hope MonetizeSkills inspires you and sparks ideas for creating new options on your own terms, without quitting your job.

Thank you for being part of this journey.

P.S. If you know someone who might benefit from these resources, please forward this email. Many talented professionals have no idea they're already sitting on skills they could monetize today.