Nothing Gained, Nothing Lost - But Not Nothing Learned

What a walk, an honest self-assessment, and a warning about AI brain fry reminded me about balance, friction, and the discipline of change.

The original title of this piece was going to be Nothing Gained, Nothing Lost.

At first, I meant that in the most literal sense. Over the last three months, I have walked a little more than I thought I would. I have gone to the gym a little less than I had hoped. And when I look at the most obvious measure, the result is simple enough: I have not gained weight, and I have not lost weight.

That is not exactly cause for celebration. But it is not failure either.

It is, if I am being honest, both an acceptance and an acknowledgment that stability can be a form of progress. Sometimes not sliding backward matters. Sometimes holding the line matters. Sometimes maintaining ground during a season when life could easily have pulled us off course deserves more credit than we tend to give it.

Sometimes maintaining ground during a season when life could easily have pulled us off course deserves more credit than we tend to give it.

That thought was with me on a walk this morning. Beautiful weather. Blue sky. No clouds. The kind of morning that almost forces reflection whether we are ready for it or not.

I was also aware that I am nearing the point where my Camino training needs to become more real. Not theoretical. Not something I am generally working toward. More distance. More weight in the backpack. More intention.

And somewhere along that walk, my thinking pivoted.

It moved from fitness and physical metrics to something else entirely: change management.

Years ago, I was part of a major systems implementation. The outside firm leading the project insisted we needed a robust change management process. Fair enough. But then they rolled out what felt like a 400-page old-school PowerPoint on change management. I wish I were exaggerating. It was one of those moments that unintentionally proves the opposite of what it is trying to teach.

Because change management is not about forcing people to sit still while someone explains change to them in exhausting detail. It is about changing how we think, work, and adapt using new tools, new information, and new realities, while still holding on to what matters.

Real change management is not theater. It is behavioral. It is emotional. It is practical. It is the discipline of rethinking what we do every day so that we can become who we need to become next.

When I think about the fact that I am walking farther, trying to carry more weight, and building myself toward a goal that is still months away, the truth is that I am going through a form of personal change management. I am not just exercising. I am reworking habits. I am creating conditions that require me to think differently about who I am becoming rather than only measuring myself against who I was.

That same dynamic shows up when I teach strategy. One of the tools I continue to value most is SWOT, though students often misuse it by treating it like a form to complete. Used properly, it is elegantly effective. It requires an honest, objective scan of the internal and external landscape and forces people to separate facts from assumptions.

Because if we are not honest about where we are, we are probably not going to end up where we think we are going.

The business world is littered with organizations that believed they were doing fine. In many ways, some of them were. But they missed the signals. They ignored the echoes. They misread the environment. They dismissed inconvenient data because it felt unfair, incomplete, or out of step with how they preferred to see themselves. They confused confidence with clarity. And by the time the signals were undeniable, they were no longer signals. They were consequences.

That thought hit home this week.

Someone did an assessment of our business. There was a great deal in it that was positive, and candidly, a lot of that positive feedback was earned. Teams work hard. People have put in real effort. There are strengths there.

But there were also critiques that, at first glance, felt a bit unfair. Some of them appeared to be more about perception than reality. That my initial instinct was to push back, add “my” clarity and perhaps perspective that was missed.

But here is the thing. As a marketer, I have had to learn over and over again that perception matters. In some cases, it matters more than reality, at least in the short term. Our job is not to dismiss perception because we believe the underlying truth is better. Our job is to understand the gap and move perception in ways that are authentic, meaningful, and earned.

And buried in that assessment were signals. Signals of where we are not yet as strong as we need to be. Signals of where, if we are willing to face them honestly and work on them, we can get better.

Those truths sting. They should. They hurt because most of us like to believe we are capable of more. But capability is one thing. Realization is another. And the distance between the two is usually measured by the quality of our self-assessment and the amount of effort we are willing to apply.

So when I come back to Nothing Gained, Nothing Lost, I have to be careful not to let the phrase become a comfortable excuse. Yes, in the macro sense, holding steady has value.

But I also have to ask the harder question.

What held me back?

Over the last few weeks, the weather has been good. The opportunities to get outside have been there. And yet I have not always taken advantage of them. One reason is legitimate. There is someone close to me who may need my help, and I have used that as a reason to stay closer to home. That is real.

But if I am being completely candid, it is also true that I could have remained available and still done more of what I needed to do.

The other answer is that I have been buried in research.

And this is where the story bends again.

I live in a space somewhere between full-time industry executive and part-time academic. I do that because I enjoy it. I do it because one of my strongest motivations in life is helping the next generation of leaders. I do it because there are not nearly enough people actively seeking the career path I ended up on, and if I am being honest, much of my own path was accidental in nature.

So if I can help younger men and women see retail, commerce, consumer behavior, and strategy as more dynamic, more meaningful, and more full of possibility than they may have assumed, that matters to me.

It also satisfies something else that has grown stronger in me over time: the desire to learn.

When I was younger, formal education often felt like something to get through. My master’s work at William & Mary felt very different. It felt connected. It felt meaningful. It allowed me to bring real-world challenges into a setting where I could challenge them, examine them, and connect dots in ways that made me better both personally and professionally.

So the research I am doing now is not just academic wandering. It is tied to real questions. Questions about humans, AI, commerce, work, leadership, friction, learning, and value creation.

I am, in one sense, an early adopter of AI. Let’s be clear - AI has been around much longer than the November 2022 public launch of ChatGPT. But when the interface became simple enough for average people to use without technical fluency, I got on board.

I do not say that to inflate my expertise. I am surrounded by people, and I follow people, who are much deeper into AI than I am. I see myself more as the average person who jumped into the deep end of the pool because I believed the impact would be significant personally and professionally.

But the deeper question I have been digging into is not simply whether AI can make work faster. It clearly can. AI does, in fact, offer an easy button. It can accelerate the first draft. It can create shortcuts. It can open up access. It can help average users do things they could not do before, or at least not as quickly.

That is real.

But the bigger issue is how humans historically react when technology outpaces our thinking, and what we can learn from those moments so that we do not just become more efficient, but more creative, more collaborative, and more connected to one another. Because that is where incremental value is actually created. Efficiency alone does not guarantee that. In many cases, it simply creates space.

And humans are not always very good at knowing what to do with that space.

We are often trained, culturally and organizationally, to find the path of least resistance. So when technology promises to save time and create capacity for better thinking, what often happens instead is that we simply do more of what we were already doing. More activity. More output. More motion. But not necessarily more value.

In fact, sometimes the opposite. The volume goes up while the quality of thought, creativity, connection, and discernment begins to degrade.

When technology creates new capacity, humans do not automatically convert that capacity into better outcomes.

That is part of why an article by Lance Eliot landed with me. Writing in Forbes, he described the risk that human-AI collaboration can slide people into what he calls “AI brain fry,” drawing on research published in Harvard Business Review that framed this as mental fatigue caused by excessive AI use or excessive oversight of AI beyond a person’s cognitive capacity. That study surveyed 1,488 full-time employees at large companies and found that some forms of AI use, particularly heavy oversight and fragmented tool-switching, were associated with fatigue, overload, and cognitive strain, while using AI to offload repetitive work was more likely to reduce burnout.

Ways That Human-AI Collaboration Slides People Into ‘AI Brain Fry’ And Cognitive Downturns

That distinction matters.

Because while I have been thinking and writing about the risks of frictionless AI use, I have also been doing something slightly different, but not entirely unrelated. I have been digging so deeply into AI tools, the George Mason library, academic journals, and industry research - testing ideas and theses I am developing around humans, AI, and commerce - that I have spent hours in pursuit of understanding while not spending enough time stepping away, getting outside, and taking care of myself.

So the contrast is not between people who misuse AI and me somehow standing outside that pattern. It is subtler than that. When technology creates new capacity, humans do not automatically convert that capacity into better outcomes. Sometimes we fill the space with more of the same. Sometimes we outsource too much thinking. And sometimes, as I have been doing, we immerse ourselves so fully in the pursuit of answers that we lose sight of the balance required to think clearly in the first place.

That is why the article hit home.

I have been arguing that if humans consistently take the path of least resistance, rather than applying friction and leaning into creativity, collaboration, and connection, we will probably suffer as a result. But this article added another angle. It suggested that unmanaged immersion in AI can create a kind of mental mush.

You can keep digging, keep prompting, keep checking, keep comparing, and still not find the DNA or the magic bullet you are looking for. What you may be left with instead is the same feeling many of us get on a Sunday night when we have been busy all day but cannot point to anything that feels settled, meaningful, or complete.

That feeling is familiar.

Some of this work has been energizing. Some of it has been important. Some of it has opened new lines of thought and led to conversations with industry executives and academics in different parts of the world. But some of it has also left me with the frustrating sense that I have been very active without always being fully effective.

But some of it has also left me with that frustrating sense that I have been very active without always being fully effective.

And that matters, because one of the things I keep coming back to is that the question is not whether AI can help us. It can. The question is whether we are disciplined enough to use it in ways that elevate value rather than simply expand activity.

So here is where I have landed, at least for now.

From a physical metrics perspective, Nothing Gained, Nothing Lost remains true. The scale says what it says.

But from an assessment perspective, I would be lying if I said that was the full story. There have been days when I pushed through. But there have also been opportunities, in great weather, when I did not get outside, did not extend the walk, and did not add to the training. I let some good reasons and some less-good habits crowd out some of the activity that I know helps keep me centered.

At the same time, I have learned something useful.

I have learned again that balance is not soft. It is not passive. It is not a retreat from ambition. Balance is discipline. It is knowing when to lean in, when to disrupt, when to push, when to collaborate, and when to step away from the screen, pick up the walking poles, put some weight in the backpack, and clear the mind by moving the body.

Because if AI offers an easy button, the answer cannot be to live there. And if research becomes immersive enough to consume the clarity it is supposed to create, that is not wisdom either.

The answer has to be better judgment. Better structure. Better friction. Enough intention to make sure that the time we save is not simply refilled with noise, and that the time we invest in learning does not come at the cost of our ability to think clearly, breathe deeply, and remain connected to the world beyond the screen.

So yes, from one perspective, nothing gained and nothing lost.

But from another, plenty learned.

As always, these perspectives are my own - shaped by years spent leading, learning, teaching, and studying retail as a human system. I welcome the dialogue that follows.