AI Can Create Efficiency. People Want Something More.

Advertising portfolio and awards

What did you want to be when you grew up? I wanted to be James Bond. If that didn’t work out, Magnum P.I. As I got older it was engineer or architect. Eventually I found my way to advertising creative.

The common thread was solving something. Creating something. Making a lasting difference in the lives of other human beings.

Who dreams of managing AI agents to squeeze out efficiency?

Life is about more than that. But in the rush to hype up AI adoption, too much of that meaning gets discounted or ignored.

In my last post, I wrote about when AI creates efficiency, who gets to keep it?

But the more I have thought about it, the more I think margin is only part of the story. There’s another question underneath it.

What happens if AI doesn’t just save time, but gradually takes away human agency? That may be the deeper risk.

Advertising portfolio and awards
These mean something to me. Not just because of the recognition. But because of all the effort that had to happen to earn them.

Work is not just labor

People work for more than a paycheck. Of course, that matters. But there are many ways to earn a living. Work is also where people experience agency, contribution, mastery, challenge, connection, and purpose.

Why was I not satisfied with my local retail advertising job and spent the time and money to go back to Portfolio Center? Meaning.

Back when I worked in advertising as a copywriter and creative director, the work could be brutal. Tight deadlines, late nights, Saturdays in the office for big pitches, and plenty of pressure. It wasn’t easy.

But when the work was good and produced results, it was deeply satisfying.

I felt ownership. The problem was mine to solve. I stared down the blank page and conquered the fear of the unknown.

I brought judgment, instinct, taste, and experience to the table. When the work connected, won awards, and helped my client succeed, there was real pride in it.

It wasn’t just labor. It was authorship. That’s part of what I worry we may undervalue in the rush to adopt AI.

Efficiency is not the whole story

AI can clearly help with routine work. It can speed up research, summarize information, assist with analysis, and reduce repetitive tasks. I would have done anything to have AI do my timesheets for me!

One of the best cases for AI is that it might free people from low-value work and create more room for higher-value human contribution. But that outcome is not automatic.

AI can also be used in ways that slowly strip away parts of work that give people a sense of agency.

If the system drafts, decides, recommends, optimizes, and increasingly directs the process, what’s left for the us besides monitoring and scrambling to keep up?

People don’t flourish when they feel like interchangeable attachments to systems they no longer shape. They flourish when they can make judgments, solve problems, develop mastery, contribute something of their own, and feel their effort matters.

You can keep the job and lose the purpose

When that happens, the loss is not just professional. It becomes personal.

When people lose agency in work, they often lose more than motivation. They lose a sense of control over an important part of their lives. Work is one of the places we experience a sense of usefulness, growth and purpose.

Over time, that loss of agency can lead to disengagement, cynicism, and burnout. We lose heart. And often, that is when a company’s best people begin to leave.

What happens if AI helps create a world where more people feel less needed, less capable, less in control, and less connected to the value being created around them?

What is the purpose of the firm?

Is the purpose of a corporation simply to maximize shareholder value as efficiently as possible? Or does it have a responsibility to create flourishing across a wider set of stakeholders: shareholders, yes, but also employees, customers, communities, and the broader society that makes business possible?

AI focuses that question into sharper contrast.

If the gains from AI are used only to reduce labor costs, increase control, strip out human judgment, and concentrate wealth more narrowly, we shouldn’t be surprised if the social consequences are serious.

But there is another possibility.

AI could free people for more human work

Organizations could use AI not as a tool of extraction, but as a tool of empowerment.

They could use it to remove routine drudgery while preserving and strengthening human agency. They could create more room for the parts of work that are most meaningful: reflection, judgment, experimentation, creativity, relationship building, long-term thinking, and the kind of problem-solving that requires more than prediction.

They could think more broadly about how the gains are shared. Not only in compensation, but in time, flexibility, dignity, development, and the chance to contribute at a higher level.

That’s not soft. It is a different understanding of performance. One that recognizes that people often do their best work when they have enough agency to care.

What agency looks like

As you can see, I still have the creative awards my art directors and I won during those agency years. When I look at them, I don’t just think about the award. I think about what had to happen to earn them.

The years of experience that made the judgment possible. The clients who trusted us with real problems. The margin that gave us room to find a better answer. The real difference the ideas made in the client’s and our agency’s bottom lines.

But most of all, I think about the fact that the work was ours to solve.

We owned the problem. We brought our own thinking to it. When it worked, we knew why. When it didn’t, we learned something. That’s agency at work.

It’s about having meaningful ways to exercise judgment, develop capabilities, contribute to others, and participate in creating value. Work has long been one of the central places where that happens.

If AI weakens that too much, we may gain efficiency while losing something essential.

What does agency look like with AI?

Today, I’m figuring out ways to use AI that assists my work and writing. In some ways to speed up but time saved goes back into my thinking and questioning from my human perspective and lived and observed experience. I don’t have multiple AI agents out there researching, writing and publishing new projects from single prompts.

It’s still a laborious, iterative process. Wrestling with ideas, angles, tangents, phrases and word options. It’s still my craft. I published this article Friday afternoon and I’m tweaking words Saturday morning. I’m adding these new paragraphs about how I use AI.

I’m still in the driver’s seat. The AI assist helps me deepen, improve and yes, saves me some of the grunt work to get to more rewarding projects than I’ve been able to in the past.

I always seem to have more ideas than time. AI is helping me get to more of those ideas.

So, the real question is not just whether AI will replace jobs. It’s whether we’ll build a world where people still have a meaningful role in shaping their work and their value to the society around them.

And that’s why the future of AI shouldn’t be judged by productivity alone, but by whether it helps human beings flourish.

This post was created with the assistance of ChatGPT and Claude. The ideas, experiences, and opinions are my own.

When AI Creates Margin, Who Gets It?

Empty Beach

AI is being sold to businesses as a way to improve margin. Many employees are embracing it for the same reason. The problem is that businesses usually mean profit margin, while employees mean margin in their lives.

Same word. Different dream.

That may become one of the biggest workplace tensions of the next few years.

I learned this long before AI.

Back when I worked in the high-pressure world of advertising as a copywriter and creative director, my art director and I would sometimes leave the building and go to Starbucks. Not to waste time. To create margin.

We knew that if we stayed in the office, with people constantly checking on us, asking for things, and wanting updates, we would not have the mental room to come up with the big ideas everyone wanted from us.

That coffee shop time was not a break from productivity. It was productivity.

Some of our most creative moments were not spent typing at a computer. They were spent leaning back in a chair, getting some distance, and talking and sketching our way toward a better idea. That’s something I think many organizations still miss, especially now in the rush to adopt AI.

Empty Beach
Where this post started. Room to pause. Room to reflect. Room to dream.

When AI creates efficiency, who keeps it?

For businesses, margin means more output from the same people. Faster turnaround. Lower labor costs. Less slack in the system.

For employees, margin means less drudgery. Fewer late nights. More breathing room to think, recover, and have some life left at the end of the day.

Once AI creates efficiency, somebody decides where it goes. Back to the human being? Or right back into the machine of work?

Recently, I was able to get away. I had time to enjoy nature, spend time with family, and read something not related to work. I got caught up in the characters and story of a novel. When I came back, I felt refreshed and inspired.

And sadly, I also felt the need to justify that time by telling myself it gave me some really good ideas for work.

Somehow even breathing room can start to feel like something you have to justify.

Efficiency can quietly consume margin

If AI removes low-value tasks and gives people room for better judgment and deeper focus, that’s progress. But that margin can disappear in two ways. Management can fill the gap with more tasks, tighter deadlines, and leaner staffing. Employees can fill it themselves, because many of us have been conditioned to treat freed time as space for more work.

That may look like progress on paper, but in practice it can become just another way work expands to fill every available space. Parkinson’s Law applies to AI. When tools create margin, the instinct is to fill it.

Evidence is already mounting. A UC Berkeley study tracking AI adoption inside a real company found that even without management pressure, workers filled every hour AI freed up with more work. Deep-focus time fell and cognitive fatigue rose. There’s even a name for it: “AI brain fry.” Whatever you call it, it’s another example of a tool promising margin but quietly consuming it instead.

We’ve seen this before. Email was supposed to make communication easier. Smartphones were supposed to make work more flexible. They did both, but they also made work more constant and harder to leave behind. AI could easily follow the same path.

The real opportunity of AI isn’t just to use it to do work faster. It’s to decide what kind of margin is worth protecting.

Human margin is not waste

In my classes, we use Steven Johnson’s Where Good Ideas Come From. His study of innovators in history points to conditions that produce breakthrough ideas like liquid networks, adjacent possible, error, serendipity, and slow hunch. None of those happen easily when every minute is scheduled, measured, and filled. They need margin. Time for reflection.

I’ve seen this in my own life too. Some of my best ideas have come in places that don’t always look productive: the break room, between conference sessions, at a social hour, in the casual conversation between one thing and the next. That’s often where ideas connect.

Organizations say they want creativity, insight, and innovation. Then they build systems that leave no room for the very conditions that make those things possible.

You can’t squeeze people into breakthrough thinking.

Margin is not always waste. Sometimes it’s the condition that makes better work possible.

A better question for leaders

Some push back on this. They say pressure is the point. Constraint forces creativity. Urgency eliminates mediocrity. There’s evidence for it. Companies built on relentless intensity have produced breakthroughs that more relaxed organizations never did.

While AI is being sold as a tool to give time back, some of the very companies building AI post job descriptions glamorizing 70-plus hour weeks, or a 996 schedule. The technology that promises margin is arriving with a culture that demands you surrender it.

But that model tends to work in specific conditions: mission-driven people who opted in, often early in their careers, working on outsized problems they personally find worth the sacrifice. It also has real costs: attrition, burnout, and the quiet departure of experienced people who have other options.

Importantly, it misses what AI actually changes. A high-pressure model squeezes harder to get more. AI removes the need to squeeze people just to get routine work done.

The question isn’t whether to demand high performance. It is whether human qualities AI cannot replicate, such as judgment, creativity, and strategic thinking, flourish under constant pressure or require something different.

The companies that benefit most from AI over time may not be chasing maximum short-term output. I’d bet on the ones that use part of the gain to create better conditions for human performance: more focus, less drudgery, better decisions, more sustainable energy.

A healthier AI model could look more like defining work clearly, what done well looks like, and letting people keep some of the margin they create – for better work, and for more life.

Who gets the margin

The deeper issue isn’t that employers and employees want opposite things. Often, they both want better results and a sense that work is making a meaningful difference. Tension comes from a misunderstanding about how those outcomes are produced. Work culture often treats margin as waste to eliminate rather than the space needed to think, care, recover, and do meaningful work well.

This can lead to loss of motivation. Worker morale is meaningful. When people lose heart, productivity erodes. Eventually, the best people leave. AI didn’t create that misunderstanding.

The real negotiation happening around AI at work isn’t just about efficiency or adoption.

It’s about margin. Who captures it. Who benefits from it. Who gets the breathing room.

At the agency, I used to run during my lunch hour. It relieved stress, helped keep me healthy, and didn’t take away from family time. Anyone familiar with the creative process knows downtime matters. My subconscious mind kept working on client problems and projects. More often than not, I came back from those runs with new ideas for the work I was doing.

That doesn’t mean I never worked long hours. Big pitches and tight deadlines sometimes meant late nights, work after the kids were in bed, and Saturdays in the office. That came with the business. But there’s a difference between working hard when the work truly calls for it and treating constant overwork as proof of commitment.

After several years, my boss called me into his office. He said that my art director and I had the best work in the agency. Our work won creative awards, produced profit for our clients, and we always met deadlines while handling more clients and projects than the other teams.

Then he said, “But…” You run at lunch and go home at night.

He didn’t understand that the margin was part of what produced the results he was getting.

Shortly after that meeting, my art director and I both left for other opportunities.

The future of AI at work may not come down to the technology itself. It may come down to who gets the margin.

This post was drafted with the assistance of ChatGPT and Claude. The ideas, experiences, and opinions are my own.