Perspective – Grandpa Bob Encouraging Leadership

What If Jarvis Is Available to Each of Us?

One of the best parts of the Iron Man movies is Jarvis, the ever-present AI system that acts as an extension of Tony Stark’s mind. Jarvis is a collaborator. A research analyst. A pattern finder. A problem solver. He handles logistics, runs calculations, surfaces insights, and stays ready in the background until Tony needs him.

Jarvis amplifies and extends Tony’s genius.

Recently, I introduced a friend to ChatGPT. He hasn’t jumped into any AI tools yet, but he can see that people around him are finding real value in them. Like many thoughtful people, his first questions weren’t about features. They were about data privacy. About whether these tools were simply repackaging other people’s work. About what was really going on under the hood.

At one point, he asked a simple question:

Is it like having Jarvis around whenever you need him?

To me, the honest answer is yes.

But it’s also important to realize that Jarvis isn’t perfect. And neither are the AI tools available to us today.

The First Questions Matter. Almost every serious conversation about AI tools begins in the same place.

Is my data safe?

Who owns the output?

Can I trust what I’m getting back?

These are the same questions we ask whenever a new digital tool emerges.

At a basic level, paid versions of tools like ChatGPT don’t use our conversations to train public models. Even with that protection in place, I still guard my data carefully. If I’m asking questions related to finances, health, or legal matters, I use hypothetical scenarios rather than personal specifics. I’m the first line of defense when it comes to my personal information.

In professional and commercial environments, organizations using business or enterprise versions gain additional protections around data isolation, encryption, access controls, and audit logging. At the enterprise level, some platforms even allow customers to manage their own encryption keys on top of the platform’s security.

The tool doesn’t decide what’s appropriate to share. We do.

Who Owns the Output? We do. The tool doesn’t claim authorship. It doesn’t retain ownership of what it produces for you. The output becomes yours because you directed the work, supplied the context, and decided how the result would be used.

But ownership is only part of the story. Responsibility matters just as much.

The tool doesn’t know your intent. It doesn’t understand your audience. And it doesn’t bear the consequences of getting something wrong. That responsibility stays with the human in the loop. That’s us.

In that sense, using AI isn’t fundamentally different from working with many other analytical tools we may have used for decades. The work becomes yours because you shape it, refine it, and ultimately stand behind it.

A Note on Sources and Attribution. Owning the output also means owning the responsibility for its accuracy and integrity. This is especially important when it comes to research and citations.

AI tools can pull together large volumes of information, synthesize ideas across many inputs, and present them in clean, compelling language. That capability is incredibly useful. But it doesn’t remove the author’s responsibility to understand where ideas come from and how they’re represented.

The tool may summarize research. It may surface commonly known concepts. It may produce language that sounds authoritative and polished. What it doesn’t guarantee is proper attribution or assurance that content isn’t too closely mirroring a specific source.

That responsibility stays with the human.

When I use AI for research or writing, I treat it as a starting point. I ask it to surface each source. I follow links. I read original material. And when an idea, quote, or framework belongs to someone else, I make sure it’s credited appropriately. This step also helps catch hallucinations that sound amazingly accurate.

Ownership requires standing behind the integrity of the work to the best of your ability.

Can I Trust What I’m Getting Back? Usually. Only with supervision. AI tools are very good at consuming information, identifying patterns, and accelerating first drafts. They are less reliable when precision, nuance, or real-world verification is required.

They can be confidently wrong. They can lose context. They can blend accurate information with outdated or incomplete details.

AI tools hallucinate regularly, though this tendency improves with each new model release. These aren’t reasons to dismiss AI as a tool. They’re reminders to understand what AI is and what it isn’t.

Trust paired with skepticism is the right approach. AI tools are fast-thinking assistants, never the final authority.

Verification still matters. Judgment still matters. Experience still matters. In fact, the better your judgment, the more valuable these tools become.

Why Memory Changes the Equation. Most people use AI tools like a smart search engine. Ask a question. Get an answer. Move on.

That works. But it barely scratches the surface of what’s possible. The real multiplier happens when the tool is allowed to remember context.

ChatGPT includes a memory capability that lets you intentionally store preferences, patterns, and reference material across conversations. Used well, this transforms the tool from something you query into something you can collaborate with.

Over the past year and across hundreds of prompt conversations, I’ve shared:

-My writing voice and stylistic preferences

-A digital copy of a leadership book I wrote over a decade ago (about 65,000 words)

-An autobiography I wrote for my children and grandchildren (about 90,000 words)

-Hundreds of blog posts published over the past 13 years (roughly 240,000 words)

-How I like to structure projects and approach new work

In total, I’ve trained the tool with nearly 400,000 words of my original content. This began as an experiment to see if I could reduce generic responses and encourage the tool to approach questions from my foundational perspective.

The difference is tangible. Early on, whether I was drafting communication, analyzing problems, or organizing ideas, the tool would produce polished but generic output that required extensive rewriting. Now, it reflects my priorities, uses frameworks I’ve shared, and produces work that feels aligned with how I think. I still edit quite a bit, but I’m refining rather than rebuilding.

Collaboration Requires Judgment. My friend asked me another important question.

Do you still feel like the writing you produce with it is yours?

Yes. Completely.

Every project I’ve worked on with these tools begins with my original content, reinforced by reference material I created long before AI entered the picture. Hundreds of thousands of words written over more than a decade. Clear intent about audience and purpose, using a defined process I’ve established before drafting anything.

The tool supports rather than replaces my judgment. Drafts usually require significant edits, shifts in tone, and sometimes complete rewrites.

Where it excels is in synthesis. In retrieval. In pattern recognition across large bodies of work. In accelerating first drafts that already have direction.

Large projects require constant supervision. Threads get crossed. Context gets muddled. The tool needs redirection, clarification, and sometimes retraining as the work evolves.

This is simply the nature of collaboration.

Why the Hype Misses the Point. There’s a popular narrative circulating that anyone can now write a book, write a complex software application, create a website, start a business, or become an expert with just a few well-written prompts.

This misunderstands both the tools and the craft associated with each of these tasks.

I think of AI the way I think of a great camera. We can all buy the same equipment. That doesn’t guarantee an amazing photo. The quality still depends on the eye behind the lens, the patience and skills to frame the shot, and the willingness to edit ruthlessly afterward.

Ansel Adams once said that asking him what camera he used was like asking a writer what typewriter he used. The tool matters. But it has never been the point.

The same is true with AI tools.

Without intent, taste, and care, straight AI output feels flat and formulaic. Readers will notice. Substance can’t be faked. Depth doesn’t appear by accident.

These tools reflect the discipline of the person using them.

Hitting the Ground Running. For someone just getting started, the biggest mistake is expecting magic. The better approach is to build understanding and training into the process (for you and the AI tool).

Explain what you’re trying to do.

Tell the tool how you think.

Correct it when it’s wrong.

Guide it when it drifts.

Treat it like a junior collaborator. One that’s fast, tireless, and remarkably capable…but still dependent on direction and context.

If you’re looking for a practical first step, try this. Find an article you’ve read recently and ask the tool to summarize it. Compare that summary to the original. Notice what it captured, what it missed, and what it misunderstood. This simple exercise reveals both the tool’s strengths and its limitations in a low-stakes way.

From there, you might ask it to help you draft an email, outline a presentation, or brainstorm solutions to a problem you’re facing. Start with tasks where you can easily evaluate the quality of the output and provide feedback on what the tool provides.

Over time, you’ll notice the quality improves. That’s when the tool begins to resemble the Jarvis we imagined. It isn’t perfect, but it becomes more aligned with what you value most and how you like to approach your work. At the same time, your understanding of its strengths and limitations becomes clearer through consistent use.

AI doesn’t replace thinking. It requires it.

Used carelessly, it produces noise. Used deliberately, it sharpens your insights.

The question is whether we’re willing to slow down at the beginning, set expectations, and engage AI tools with proper intention.

Only then can these tools truly serve us well.

Photo by Chris Haws on Unsplash – photographers often say, “It’s about the photographer, not the camera.”

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Teachers, Mentors, and the Grace That Carries Us

“There is no Frigate like a Book / To take us Lands away.”

Emily Dickinson wrote these words in her quiet room, understanding something I didn’t grasp for decades. The greatest journeys begin within.

I know her poem only because of my 11th grade AP English teacher, Mr. Cox. As a rambunctious and cocky 11th grader, would I have taken any of my “super valuable” time to read poems, sonnets, short stories, even books? No way.

But because of his work (and the work of countless other teachers along the way), I did read. A lot. I learned tons of material and information that didn’t matter to me at the time…but matter a lot today.

My focus back then was simple. Be the best student, get the highest test scores, pass as many AP tests as possible, and earn varsity letters in multiple sports. Mostly, I wanted to beat everyone else, pure and simple. It helped that I was blessed with an almost photographic memory and could recall facts and formulas with ease (sadly, not so much nowadays).

I carried that mindset into college. I loved being the student who defined the grading curve for the class. I was annoyed if I didn’t get every single point on an assignment, midterm, or final. I had an almost uncontrollable drive to outshine everyone…as if that was all that mattered.

I was completely wrong.

On the bright side, that drive and motivation made me a successful student and propelled me into my early career.

On the other hand, seeing everyone as my competition, and less as people, meant I probably missed out on a lot of fun. And lots of friendships that never happened. I was so focused on the destination that I forgot to notice who was traveling with me.

That realization connects me back to Dickinson’s frigate in ways I never expected. She saw the book as a vessel capable of carrying anyone, anywhere, without cost or permission. But what I’ve learned over nearly fifty years since high school is that I was asking the wrong question. It was never “How far can I go?” It was “Who am I becoming, and who’s helping me understand?”

My journey from that hyper-competitive teenager to what I hope is a much more caring, thoughtful, empathetic, nuanced, and life-giving person has been propelled by those same teachers I mentioned earlier, and a longer line of guides who keep showing up at the right time in my life.

I didn’t realize it then, but those books, poems, and teachers were all part of my fleet of frigates. Each one quietly helped me close the distance between knowledge and understanding, between my ambition and wisdom.

My mentors, family, and friends have all been vessels that carried me through changing seas. Some taught me to sail straight into the wind. Others reminded me that drifting for a while can be part of my journey as well. Each lesson mattered, even the ones that didn’t make sense at the time…especially those.

Over time, life has a way of sanding down our sharper edges, revealing something deeper underneath. My focus slowly shifted from being the best at something to becoming the best version of myself.

Now, when I think about Emily Dickinson’s frigate, I picture something far greater than a book. I picture a lifetime of learning, carried by the people who invested their time, wisdom, and patience in me. Mr. Cox, and others who gave freely of their time and wisdom, helped me see that the destination isn’t solely becoming the top of the class. It’s finding a profound depth of understanding, the expansion of empathy, and the ability to see beauty and meaning in small, unexpected places.

If I could go back and talk to that 16-year-old version of myself, I’d tell him the real tests aren’t scored on paper. They’re graded every day in how we treat people, how we listen, and how we show grace.

I’d tell him that the frigate he thinks he’s steering alone has always been guided by grace. The true measure of his voyage will be how much space he makes for others to come aboard.

We’re all learning to sail, carried by the steady hand of God.

We never really travel alone.

Photo by Rafael Garcin on Unsplash

How Limits Bring Art to Life

Inspired by G. K. Chesterton

I’ve come to believe what Chesterton once said. Art is limitation, and the essence of every picture is the frame. It took me time to see that truth.

Many of us grow up thinking freedom creates great work. Unlimited time. Unlimited canvas. Unlimited choice.

But if you’ve ever stared too long at a blank page, you know what real freedom can feel like. Paralyzing.

Nothing takes shape until the edges appear. A story waits forever if the writer can’t decide where it begins. Music is noisy until the composer chooses a key. The frame gives the work its purpose.

The same is true in leadership and life. A budget helps us decide what we value. A deadline turns a dream into something real. A small team learns to trade excess for imagination. Limited resources push us to invent new ways to adapt. The frame brings focus.

Still, the frame itself matters. A picture can feel cramped when the frame becomes too tight. A project can drift when the wrong thing fills the center. When the boundaries are off, the whole image loses clarity. That’s why wise leaders spend time defining the edges before the work begins.

Whenever I work on a puzzle, I start by finding all the edge pieces. Once the border comes together, I can see how everything else might fit. The same principle applies to creative work and leadership. The edges give us context. They help us imagine where the middle pieces belong and how the picture will come to life.

Frames should change as we grow. The world shifts. We learn more about what we’re building. Every so often, we step back and see whether the picture still fits. Sometimes the frame needs widening. Sometimes the colors need more light. Adjusting the frame keeps the beauty true.

Constraints give possibility its shape. They reveal what truly matters. Choosing the right limitations helps us see what is essential.

When you feel boxed in or limited, pause before you push against the edges. The frame around your work may be the very thing helping the picture appear. And when the picture becomes clear, refresh the frame so the beauty within it continues to grow.

Thanks to James Clear for sharing this G. K. Chesterton quote: “Art is limitation; the essence of every picture is the frame.”

Photo by pine watt on Unsplash

Doing the Thing

Writing a song is like fishing, Kenny Chesney once said. Some days you catch something beautiful. The melody, the moment, the truth. Other days, you sit there all day with nothing but frustration and a stubborn belief that it’s still worth being out there.

That kind of wisdom transcends genres. Ernest Hemingway spent his life circling the same idea. That real art happens when we show up. Whether facing a blank page, a marlin that wouldn’t bite, or a battle that couldn’t be won, he believed the only way to live fully was to move, to act, to engage.

His work embodied a simple truth. The shortest answer is doing the thing. For him, wisdom wasn’t found in thinking about life, but in living it. No clever phrasing. No shortcuts. Just the act itself. Simple, honest, alive.

We spend so much of life thinking about what we might do, planning what we should do, waiting until we feel ready to begin. But readiness rarely arrives on its own. The line stays slack until you cast it. The song stays silent until you play it. The story remains untold until you write it.

Sometimes we catch something incredible. Other times, nothing.

Either way, we were there. Present. Awake. Participating in the work and wonder of life.

Maybe that’s the whole point.

A life well-lived must first be lived.

Photo by Shojol Islam on Unsplash – I wonder if he’ll catch something on this cast. Maybe. Maybe not. But, he’s in the game, giving it his best shot and that’s what matters.

The Day We Visited the Taj Mahal and Never Saw It

There are certain destinations in the world that feel larger than life. The Taj Mahal is one of those places. For many travelers, seeing it with their own eyes is a once-in-a-lifetime moment.

We were finally there. We had made it to Agra. All that remained was to step inside the gates and witness the iconic white marble glowing in the sun.

Only one problem.

There was no sun. There was no white marble. There was no Taj Mahal.

There was only fog.

We woke that morning filled with hope. The rooftop restaurant gave us a commanding view of… absolutely nothing. We stared into a wall of haze, sipping coffee and laughing at the absurdity of our timing. Surely the fog would lift. Surely the Taj Mahal would reveal itself.

Our guide, Kuldeep, assured us everything would be fine. He had led more than 500 tours of the Taj Mahal. He knew everything there was to know about its history and its beauty. We boarded our bus, grabbing our special cloth bags with a picture of the Taj printed on them. These were designed to hold the single water bottle we were allowed to bring inside the property. And we set off with excitement.

Fog. All the way there. Fog in the parking lot. Fog at the security lines. Fog as we walked the long approach toward the main viewing area. Each time Kuldeep stopped to point out an “excellent vantage point,” we nodded with wide eyes, imagining the magnificent structure hidden somewhere in the mist.

We took photos pointing at the picture on our water bottle bags. That was the only Taj Mahal available to us from any vantage point.

As we walked toward the building, we eventually reached the outer wall and finally saw something. White marble appeared just a few feet above our heads. Then the stone vanished again into the haze. The grand dome. The sweeping arches. The delicate inlays. All shrouded in fog.

We were standing beside one of the wonders of the world and could only see a sliver of it.

Our group laughed so much that day. Not because we had traveled halfway around the world only to miss the view. We laughed because we were sharing something unforgettable and slightly ridiculous. We were experiencing a story that would last much longer than a postcard-perfect photograph.

Kuldeep shook his head with disbelief. In all his tours, he had never experienced this. He told us we were a very select group of visitors who could claim something few on Earth could say. We visited the Taj Mahal, but we have never actually seen it.

He was right. I still have never seen the Taj Mahal in person.

The destination was never the prize

You might think this would be a disappointment. But when I look back on that trip, the fog made everything richer.

The destination was never the prize. The people were.

We shared meals and conversations and inside jokes. We tried foods that were new to us. We navigated chaos and beauty side by side. We saw India’s contrasts and colors and kindness. We saw devotion expressed in temples and marketplaces. We saw how history and modern life can exist on top of each other without barriers.

The Taj Mahal is extraordinary. I would love to see it someday with clear skies and a rising sun. Yet I already have what I came for.

When I think about all the amazing places I have been blessed to visit, a pattern appears. I never say, “Remember when we saw that famous landmark.” I say things like:

– Remember how we got lost trying to find it?
– Remember the tiny restaurant we discovered afterward?
– Remember the guide who became a friend?
– Remember that amazing gelato place in the middle of nowhere?

I have my memory of that rooftop breakfast. I have the echo of laughter on the bus. I have the photos of my family and friends pointing to a water bottle bag as if it were the crown jewel of Indian architecture.

The world is full of wonders. But relationships are the wonders that stay with us.

The real bucket list

If someday I return to the Taj Mahal and finally see it, I’ll smile and take it in. But I know the picture etched into my heart is already complete. It’s filled with faces and voices and laughter. It has the beauty of our shared experience.

Checklists are fine for airplanes. But our lives deserve something better.

The best adventures can’t be captured by a camera or a perfect view. What lasts are the relationships made stronger by shared surprises, setbacks, and moments of wonder.

This story, fog and all, remains one of my favorites.

Photo by Mark Harpur on Unsplash showing the majestic beauty of the Taj without fog.

The photos below are mine showing what we actually saw. Unfortunately, the amazing water bottle bag photos are stored on a drive I can’t see…a little bit like that morning in Agra more than a decade ago.

Beautiful Things Don’t Ask for Attention

I saw The Secret Life of Walter Mitty on an airplane ride recently. At a significant moment in the story, we hear the line, “Beautiful things don’t ask for attention.”

The photographer in the story chooses not to take a coveted photo of the elusive snow leopard. Instead, he simply enjoys the beautiful moment with his own eyes.

Real beauty doesn’t need to perform. It’s authentic and humble, whether anyone stops to notice or not.

A person of character lives this way. They have no need to prove themselves. They show up with kindness, consistency, and honesty. The neighbor who shovels snow from an elderly woman’s driveway before dawn, leaving no trace. Or the teacher who stays late to help a struggling student, never mentioning it to anyone.

The beauty of their character reveals itself in the way they live each day.

Humility makes this possible. It allows a life to shine without glare, to influence others by being genuine. Like mountains that reflect the glow of sunrise or wildflowers blooming unseen in a meadow, people of quiet integrity embody a beauty that doesn’t depend on recognition.

In our culture that rewards noise and spectacle, this is easy to forget. We’re told to broadcast accomplishments and measure our worth by attention. Yet the most meaningful lives belong to those who live true to themselves, free from the need for applause.

The things that endure, whether in people or in nature, carry their beauty without fanfare. They simply are.

There’s a paradox in writing about something that exists most powerfully in silence. Maybe that’s the point. Celebrating this kind of beauty without claiming it for ourselves.

But we can learn to recognize it. To be shaped and inspired by it. And, in our quieter moments, we can strive to live it.

Photo by Patrick Schaudel on Unsplash – some of my fondest memories involve waking up in a tent on crisp mountain mornings, basking in the beautiful glow of the rising sun.

Strategy First. AI Second.

Eighty-eight percent of AI pilots fail to reach production, according to IDC research. Most fail because organizations chase the tool instead of defining the outcome. They ask, “How do we use AI?” rather than “What problem are we solving?”

A little perspective

I’m old enough to remember when VisiCalc and SuperCalc came out. That was before Lotus 1-2-3, and way before Microsoft Excel. VisiCalc and SuperCalc were just ahead of my time, but I was a big user of Lotus 1-2-3 version 1. Back then, everyone focused on how to harness the power of spreadsheets to change the way they did business.

Teams built massive (for that time) databases inside spreadsheets to manage product lines, inventory, billing, and even entire accounting systems. If you didn’t know how to use a spreadsheet, you were last year’s news.

The same shift happened with word processing. Microsoft Word replaced WordPerfect and its maze of Ctrl and Alt key combinations. Then the World Wide Web arrived in the early 1990s and opened a new set of doors.

I could go on with databases, client-server, cloud computing, etc. Each technology wave creates new winners but also leaves some behind.

The lesson is simple each time. New tools expand possibilities. Strategy gives those tools a purpose.

The point today

AI is a modern toolkit that can read, reason (think?), write, summarize, classify, predict, and create. It shines when you give it a clear job. Your strategy defines that job. If your aim is faster cycle times, higher service quality, or new revenue, AI can be the lever that helps you reach those outcomes faster.

Three traps to avoid

Tool chasing. This looks like collecting models and platforms without a target outcome. Teams spin up ChatGPT accounts, experiment with image generators, and build proof-of-concepts that fail to connect to real business value. The result is pilot fatigue. Endless demonstrations with no measurable impact.

Shadow projects. Well-meaning teams launch skunkworks AI experiments without governance or oversight. They use unapproved tools, expose sensitive data, or build solutions that struggle to integrate with existing systems. What starts as innovation becomes a compliance nightmare that stalls broader adoption.

Fear-driven paralysis. Some organizations wait for perfect clarity about AI’s impact, regulations, or competitive implications before acting. This creates missed opportunities and learning delays while competitors gain experience and market advantage.

An AI enablement playbook

Name your outcomes. Pick three measurable goals tied to customers, cost, or growth. Examples: reduce loan processing time by 30 percent, cut customer service response time from 4 hours to 30 minutes, or increase content production by 50 percent without adding headcount.

Map the work. List the steps where people read, write, search, decide, or hand off. These are all in AI’s wheelhouse to help. Look for tasks involving document review, email responses, data analysis, report generation, or quality checks.

Run small experiments. Two to four weeks. One team. One KPI. Ship something tangible and useful. Test AI-powered invoice processing with the accounting team, or AI-assisted internal help desk with support staff.

Measure and compare. Track speed, quality, cost, and satisfaction before and after. Keep what moves the needle. If AI cuts proposal writing time by 60 percent but reduces win rates by 20 percent, you need to adjust the approach.

Harden and scale. Add access controls, audit trails, curated prompt libraries, and playbooks. Move from a cool demo to a dependable tool that works consistently across teams and use cases.

Address the human element. Most resistance comes from fear of displacement, rather than technology aversion. Show people how AI handles routine tasks so they can focus on relationship building, creative problem-solving, and strategic work. Provide concrete examples of career advancement opportunities that AI creates.

Upskill your team. Short trainings with real tasks. Provide templates and examples in their daily tools. Make AI fluency a job requirement for new hires and a development goal for existing staff.

Close the loop with customers. Ask what improved. Watch behavior and survey scores, with extra weight on what people actually do, versus what they say.

Governance that speeds you up. Good guardrails create confidence and help you scale.

Access and roles. Limit sensitive data exposure and log usage by role. Marketing might get broad access to content generation tools while finance operates under stricter controls. The concept of least privilege applies.

Data handling. Define red, yellow, and green data. Keep red data (customer SSNs, proprietary algorithms, confidential contracts) away from general public-facing tools. Yellow data needs approval and monitoring. Green data can flow freely.

Prompt and output standards. Save proven prompts in shared libraries. Require human review for customer-facing outputs, financial projections, or legal documents. Create templates that teams can adapt rather than starting from scratch.

Audit and monitoring. Capture prompts, outputs, and sources for key use cases. Build processes to detect bias, errors, or inappropriate content before it reaches customers.

Vendor review. Check security, uptime, and exit paths before heavy adoption. Understand data residency, model training practices, and integration capabilities. Consider making Bring-Your-Own-Key (BYOK) encryption the minimum standard for allowing your organization’s data to pass through or be stored on any AI vendor’s environment.

Questions for leaders

Which customer moments would benefit most from faster response or clearer guidance? Think about your highest-value interactions and biggest pain points.

Which workflows have the most repetitive reading or writing? These offer the quickest wins and clearest ROI calculations.

Which decisions would improve with better summaries or predictions? AI excels at processing large amounts of information and identifying patterns humans might miss.

Do we have the data infrastructure to support AI initiatives? Clean, accessible data is essential for most AI applications to work effectively. Solid data governance and curation are critical.

What risks must we manage as usage grows, and who owns that plan? Assign clear accountability for AI governance before problems emerge.

What will we stop doing once AI handles the routine? Define how you’ll reallocate human effort toward higher-value activities.

Who will champion AI adoption when the inevitable setbacks occur? Identify executives who understand both the potential and the challenges.

What to measure

Cycle time. Minutes or days saved per transaction.

Throughput. Work items per person per day.

Quality. Rework rate, error rate, compliance findings.

Experience. Customer effort score, employee satisfaction, NPS.

Unit cost. Cost per ticket, per claim, per application.

AI is the enabler

Strategy sets direction. AI supplies leverage. Give your people clear goals, safe guardrails, and permission to experiment and fail along the way.

Then let the tools do what tools do best. They multiply effort. They shorten the distance between intent and execution. They help you serve today’s customers better and reach customers you couldn’t reach in the past.

The question isn’t whether AI will transform your industry.

The question is whether you’ll lead that transformation or react to it.

Which will you choose?

Photo by Jen Theodore on Unsplash – I love this old school compass, showing the way as it always has. The same way a solid strategy and set of goals should lead our thinking about leveraging the latest AI tools.

Choosing Curiosity Over Fear

When we look toward the future, two voices compete for our attention. Fear tells us to run away. Curiosity invites us to step forward.

Fear whispers, “It’s too much. I can’t keep up. Better to stop trying.” Curiosity responds, “I don’t understand…yet. Let’s see what happens.”

Fear closes.

Curiosity opens.

Fear imagines disaster.

Curiosity imagines possibilities.

Fear isolates.

Curiosity connects.

The world is changing quickly. The pace can feel overwhelming. Many will react with fear. A curious spirit asks questions. It wonders what could be.

Curiosity doesn’t remove uncertainty but transforms how we deal with it. When we lead with curiosity, we move from paralysis to participation. We see the unknown as a chance to grow.

“Never let the future disturb you. You will meet it with the same weapons of reason which today arm you against the present.” – Marcus Aurelius

We already have the tools we need. Curiosity and our ability to learn. What we need is the courage to use them.

Photo by ALEXANDRE DINAUT on Unsplash

Climbing in Times of Change

René Daumal titled his unfinished novel, Mount Analogue. It describes a peak, “whose summit is inaccessible by ordinary means.” The mountain can only be reached through inner transformation, making it both a place and an analogy for our journey of struggle toward resilience and clarity in the fog.

Leadership in upheaval can feel similar. Our map runs out. The ground shifts. We carry only our memories. Some sharp with regret, others shining with joy. Yet even scars can become footholds for our climb.

Daumal wrote, “You cannot stay on the summit forever; you have to come down again. So why bother in the first place? Just this: what is above knows what is below, but what is below does not know what is above.”

The summit gives leaders perspective. From above, we see connections hidden from the valley floor. The shape of the landscape, how the streams converge, where the shadows fall and light breaks through. We descend changed by what we’ve seen, and those who walk beside us are steadied by our vision.

History shows us that change always reshapes our climb. The printing press, the steam engine, electricity, space travel, and global connectivity to name a few. Artificial intelligence is the latest steep slope, bringing fear, excitement, and possibility all at once.

Leaders can steady others by naming the change clearly, framing the opportunities, modeling ways to adapt, and keeping purpose at the center of the change.

Daumal died before finishing his book. It breaks off mid-sentence. A fitting metaphor for leadership. Unfinished, unresolved, always in motion.

Leadership is the willingness to prepare others for the climb, walking faithfully with them, and offering perspective so they can see what’s possible…and dare to tackle the climb themselves.

h/t – James Clear for showing a quote from this book that sent me down the path to learn more about Mount Analogue.

Photo by Caleb Lumingkit on Unsplash

Who Will Hold the Boulder? (a short parable)

There once was a village named Smithville, tucked neatly beneath a mountain. Life was simple until the mayor spotted a massive boulder teetering on the slope. Experts confirmed the obvious. The massive boulder might fall and crush the town.

In a flash of civic urgency, the mayor declared: “We must secure the boulder!” And so they did. With ropes, pulleys, and sheer determination, ten villagers at a time held the lines to keep the boulder in place. They rotated shifts around the clock. It became routine, then tradition, then law.

Children sang, “Hold the boulder, hold the boulder, we must resolve to hold that boulder!” before school each morning. A cabin was built for the rope holders. A trail crew was hired to keep the path safe for the endless march of workers. Rope suppliers prospered since the intricate rope system required constant maintenance. Soon, nearly half the town’s budget went to “boulder security.”

Still, the village flourished. Visitors came to marvel at the rope-wrapped rock. “Come see our mighty gravity defying boulder!” proclaimed their glossy posters. A bond was passed to fund a visitor center and tour buses. Hotels filled. Restaurants boomed. Property values soared near “Boulder View Estates.”

One day, a newcomer named Brunswick questioned the logic of leaving the boulder where it was. “Why not break the boulder into smaller, harmless pieces?” The council laughed at his question.

The mayor beamed with pride, “Our boulder isn’t a threat. It’s our livelihood! Besides, we have a rope system to protect us.”

The townspeople nodded, waving their SAVE OUR BOULDER signs in support.

Who could argue with prosperity?

Brunswick left shaking his head.

Years later, despite the ropes, despite the cables, despite the slogans, the inevitable happened. That winter, the boulder grew heavier than ever with snow and ice. Villagers had trouble reaching the ropes, as storms blocked the trail. Shifts went unfilled. Fewer villagers meant fewer ropes to hold the boulder.

“The forecasters said it wouldn’t be this bad,” the mayor reassured them, as though the weather itself had broken its promise.

Workers tugged and shouted, trying to keep their grip. Fingers numbed, feet slipped, and a few gave up entirely. The remaining ropes snapped one by one. The sound echoed through the valley like rifle shots. The mountain itself seemed to groan.

Then came the moment. The final rope gave way with a thunderous crack. The boulder lurched forward, dragging what remained of the cable nets with it.

As it tumbled down the mountain, the ground shook violently. Houses rattled, dishes shattered, and children screamed.

The mighty rock careened toward the valley, smashing trees like twigs and carving deep scars into the earth. Clouds of dust rose as if the mountain were on fire. Each bounce sent shockwaves through Smithville, knocking people off their feet. The villagers ran in terror, listening to the deafening roar as the great stone rolled ever closer.

When it finally came to rest, the devastation was complete. The visitor center lay in ruins. Boulder View Estates was flattened into rubble. Streets were cracked, and smoke rose from shattered chimneys.

Yet by some miracle, no one was hurt. The thunder of the falling boulder gave everyone time to flee. Amid the destruction, whispers of a miracle could be heard all over the battered town.

As the dust cleared, townsfolk began to consider their plans for rebuilding. Some sketched designs for a grand new visitor center. This one would tell the story of The Great Fall.

A five-year plan was drafted to study rope alternatives, complete with a Rope Oversight Committee and quarterly progress reports.

Bureaucracy bloomed again, strong as ever.

Though no one mentioned the missing boulder.

Story behind the image – I used Google’s new Nano Banana image generator for this image. I asked it to produce a large and evil boulder sitting on top of a mountain, held by ropes, overlooking a nice town that it’s threatening…in a cartoonish style. This is the first image it produced. It missed the part about the ropes, but I like the over-the-top (see what I did there?) theme of this rendering. And that boulder may appear in a few more stories in the future.

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