What if the real opportunity is not better AI, but a bigger human?
The AI Mindset — Essays on Human-AI Leadership
by Dr. Cory B. Scott — Rung 11
This essay is part of 52 Rungs: Becoming More Human in the Age of AI, a Bailey Brook initiative exploring how we can work with AI while strengthening our judgment, creativity, and agency. One meaningful step each week.
A Cat, a Plate of Spaghetti, and the Wrong Question
Somewhere right now, a very smart person is watching a video of an AI-generated cat eating spaghetti. The cat is unsettlingly convincing. The noodles behave like noodles. The person sends it to eleven friends, who send it to eleven more, and by lunchtime a measurable slice of humanity’s collective attention has been spent on a cat that does not exist eating pasta that was never cooked.
In the next browser tab, a headline announces that AI is coming for your job. Possibly by Tuesday.
Those are, more or less, the two stories we tell about artificial intelligence: miracle or menace, party trick or pink slip. We are grading a tectonic shift like a high school talent show—applauding the individual acts while barely noticing that the building itself is moving.
The corporate version of the conversation isn’t much better. There, the great promise of AI is usually measured in productivity. How many emails can we send? How fast can we build the deck? How many reports can we summarize, and how much content can we generate before anyone stops to ask whether the world actually needed more content? Nobody ever changed the world because they cleared their inbox fourteen minutes faster. And yet, somewhere, a dashboard is celebrating exactly that.
Maybe we are asking the wrong question. We keep asking what AI can do. The far more interesting question is what AI reveals about what human beings have been spending their lives doing—and who we might become if some of that weight were finally lifted.
The Productivity Promise
The conventional wisdom goes something like this: AI is a productivity tool, and the point of a productivity tool is to produce more. Faster drafts. Quicker analysis. Leaner teams. Lower costs.
That belief deserves a fair hearing, because it isn’t foolish. The gains are real. A report that used to swallow a Thursday afternoon now takes twenty minutes. Organizations operate under genuine pressure, and a leader who ignores a tool that powerful isn’t being principled; they’re being left behind. Nobody should have to apologize for wanting less drudgery in their week.
But buried inside that belief is an assumption history keeps embarrassing: if something saves us time, we will have more time.
We are remarkably talented at making sure that never happens. Email was supposed to free us from the slow shuffle of paper memos; instead, it made it possible to receive a hundred of them before breakfast. Give us a tool that saves an hour, and we will find two hours of administrative sludge to pour into the opening. Productivity rises, expectations rise to meet it, and before long everyone is producing more while wondering why they seem to have less.
AI could easily become the grand finale of that cycle. We could automate enormous portions of knowledge work, only to fill the newly available space with more meetings, more presentations, more reports—and, inevitably, AI-generated summaries of all the reports nobody had time to read because they were busy producing reports. That would be quite an achievement: one of the most powerful technologies humans have ever created, used primarily to help us become exhausted more efficiently.
There is a quieter danger, too. If we hand over not just the tedious parts of thinking but thinking itself, we risk becoming human routers—sitting between systems, passing outputs from one machine to the next, slowly surrendering the very judgment that made a human necessary in the first place. The result would be a world of lightning-fast mediocrity: everyone extraordinarily productive, completely exhausted, and making very little that actually matters.
From Automation to Liberation
There is another way to read this moment, and it starts with a small change in the question.
Automation asks, What can this machine do for me? Liberation asks, What does this free me to do?
Those two questions sound like cousins. They lead to very different futures. The first one keeps the spotlight on the machine and measures success in tasks completed. The second turns the spotlight back on us—on the human being standing in the space the machine just opened up.
What if the real value of AI is not the work it performs, but the human capacity it releases?
Think about what we have quietly surrendered over the past few decades in the name of keeping up: the luxury of wandering intellectually. Sitting with a difficult problem long enough to actually understand it. Learning something simply because it is interesting. Experimenting without knowing where the experiment will lead. Having a conversation with another human being without secretly answering email under the table.
Those aren’t indulgences. They are where judgment, creativity, and wisdom come from. And they may be exactly what this technology could give back—if we let it.
Why This Matters More Than the Productivity Numbers
Attention Is the New Scarcity
For decades we’ve said we live in an information economy. But information stopped being scarce a long time ago. Most of us are drowning in it. Back in 1971, the economist Herbert Simon warned that “a wealth of information creates a poverty of attention.” He was early, but he was right.
What became scarce wasn’t information. It was attention—and right behind it, curiosity, reflection, emotional bandwidth, and the willingness to sit with uncertainty instead of reaching for the nearest answer. If AI can absorb some of the low-level processing that eats so much of our attention, then our most valuable assets become the things it cannot simply hand back to us: discernment, imagination, judgment, courage, and the willingness to do something interesting with what we discover.
When the Door Becomes Reachable
I’ve experienced this in ways both profound and surprisingly ordinary.
After my strokes, I used AI to work through brain teasers and exercises that helped get my brain engaged again. I’ve told that story before, because it changed how I understood this technology. AI wasn’t doing my thinking for me. It was giving me something to think with, at a moment when exercising that capacity mattered more than almost anything.
But there’s a far less dramatic example that may say even more about human possibility. For years, working on my website frustrated me. Not because I lacked ideas—I had plenty. The problem was everything surrounding those ideas. Rules, terminology, interfaces, and technical assumptions that simply weren’t intuitive to me. Every small step seemed to require learning another language before I could get back to the thing I actually wanted to make.
Eventually, friction becomes the decision. You stop—not because you weren’t capable of the idea, but because reaching it meant passing through too many gates.
AI changed that. When I hit something I don’t understand, I can ask for it to be explained in language that makes sense to me. If I still don’t get it, I can essentially say, Nope. Still don’t get it. Try again. And it does. No eye roll. No sigh. No assumption that I should already know the vocabulary. Something that once felt unreachable suddenly becomes gettable.
Once I noticed that in myself, I started seeing it everywhere. There are millions of people carrying around things they have always wanted to make, learn, investigate, or try. The barrier was rarely imagination or intelligence. Often it was simply the enormous distance between an idea and the specialized knowledge required to act on it.
AI is beginning to collapse some of that distance. An aspiring entrepreneur who can’t code can build a working prototype. Someone with a brilliant idea who struggles to express it in English can communicate without having their intelligence judged by their grammar. A student can chase a question far past the edge of the syllabus. Someone who never considered themselves “the creative type” can move from I wonder if this would work to actually finding out.
You no longer necessarily need the budget, the agency, the credentials, the vocabulary, or the technical background just to earn permission to experiment. That may be one of AI’s most consequential effects. It could become a great equalizer of access to creation—not because everyone suddenly has the same skills, but because fewer people have to stand outside the door simply because nobody taught them the secret handshake.
When Competence Gets Cheap, Humanity Gets Valuable
Here is a strange twist hidden inside the rise of artificial intelligence: as polished content becomes abundant and technical execution becomes inexpensive, genuinely human qualities may become more valuable, not less.
Taste matters more when anyone can generate something competent. Judgment matters more when information is unlimited. Lived experience matters more when a perfectly fluent paragraph costs nothing. Authenticity, scars, presence, moral courage, real connection, and even a little radical weirdness become differentiators precisely because they can’t be mass-produced.
Which raises an uncomfortable thought. Much of the industrial and information ages were spent training human beings to perform tasks machines were eventually going to do better anyway. We taught people to memorize information, follow processes, complete forms, produce reports, and supply the correct answer. Then we built machines that are extraordinarily good at exactly those things—and acted surprised when the machines could compete with us.
That should prompt a rethink of education as much as work. Instead of training children to behave like search engines and calculators, we might spend more time helping them become sense-makers, storytellers, questioners, creators, and critical synthesizers. Humans will not win this era by trying to act more like machines, only faster.
The Catch: Humans Are Involved
Of course, there’s a reasonable objection here, and it deserves to be taken seriously. Critics worry that AI won’t liberate us at all—that it will make us lazier, more passive, and more dependent. They are not wrong to worry.
AI creates leverage, and leverage has no moral direction of its own. It amplifies whatever direction we choose. We can use it to become more curious or less curious, to explore further or to skip the journey altogether, to challenge our thinking or to endlessly confirm what we already believe. We can use it to build things that once seemed impossible—or we can point all that extraordinary computing power at producing an industrial quantity of digital junk food.
Possibility does not guarantee that we’ll choose it. Our natural tendency to conserve mental energy won’t magically disappear because a better tool arrives. If anything, better tools make intention matter more.
The distinction that matters is this: outsourcing execution can dramatically expand what a person is capable of doing. Outsourcing judgment is something else entirely. One extends our reach. The other slowly convinces us that reaching is unnecessary.
So the real question isn’t whether AI will make us smarter or dumber. Technology doesn’t get to make that decision on its own. We do.
What Are We Releasing People to Become?
This is where the Human AI Mindset draws a bright line between assistance and abdication. Assistance means AI carries some of the load so that a human can think, decide, and create at a higher level. Abdication means AI carries the load and the human quietly stops showing up. The tools are identical. The outcomes are opposite.
That line runs straight through every organization right now. Leaders are understandably asking how much productivity AI can create. They’re measuring efficiency, output, cost savings, and headcount. Those questions matter—but they’re incomplete, because they assume every unit of human capacity released by technology should immediately be converted back into another unit of production.
Suppose a team uses AI to save twenty percent of its working time. Where does that twenty percent go? Does leadership instantly fill it with twenty percent more routine work? Or could some portion be deliberately reinvested in people?
Imagine a leader saying: Part of the time AI saves you belongs to growth. Spend it learning something outside your discipline. Talk with customers. Try an idea that might fail. Question an assumption. Solve a problem nobody has assigned yet.
That requires seeing human capacity as something other than idle inventory waiting to be converted into output. Poor leadership can use AI to make humans behave more like inexpensive robots. Better leadership can use AI to let humans stop behaving like robots—and spend more of their time doing what humans are uniquely good at: empathizing, exercising judgment, imagining alternatives, challenging dogma, accepting ethical responsibility, and occasionally asking the uncomfortable question everyone else in the meeting was hoping nobody would ask.
The question underneath all of it is simple: What is this partnership producing in us? AI should expand our curiosity, our reach, and our ability to contribute. It should never quietly replace our judgment, our authorship, or our willingness to try.
Find Your Gate
Here’s something to notice this week. Pay attention to the places where friction has been making decisions for you. The project you keep circling but never start. The skill you’ve labeled “not really my thing.” The idea you’ve shelved because the first step required a vocabulary you don’t have. Ask honestly: is the barrier ability, or is it the gate?
And notice the other side, too. The next time AI saves you real time, watch what happens to that time. Does it get spent—or does it simply get absorbed by the next round of busywork before you even realize it was there?
One thing to try: Pick a single door you’ve been standing outside of. Give it thirty minutes with AI as your patient tutor, not your ghostwriter. Ask it to explain, not to do. When the explanation doesn’t land, say so—Still don’t get it. Try again—until it does. Then take one small step yourself. And before the week fills up, decide in advance where one hour of AI-saved time will go, before your calendar decides for you.
The Question History Will Ask
Let’s go back to that cat.
History will not remember the spaghetti. It won’t remember the model numbers, the parameter counts, or the compute clusters that feel so important right now, either. History rarely remembers the specifications. It remembers what people did with the capability.
The question our grandchildren may ask about this moment is much simpler. Did these tools make human beings smaller—more passive, more distracted, more dependent, more interchangeable? Or did they open doors? Did they give more people permission to create, let curiosity travel farther, and return enough capacity for us to think deeply again? Did they spark a creative and intellectual renaissance among people who had always stood outside the gates? Or did we take one of the greatest expansions of human capability in history and use it to make more stuff?
AI can give us leverage, access, and relief from much of the friction that has always stood between people and their ideas. It can widen the doorway. What it cannot do is decide what kind of humans walk through it. That part remains our work—and perhaps that is the real opportunity in front of us.
The tragedy would not be building machines smarter than us. The tragedy would be building brilliant machines—and choosing to stay small.
One Idea to Remember
AI’s real gift is released capacity. That extra room is ours to use or to waste. That choice stays human.
This week’s question:
What is one idea, skill, or project you’ve carried for years that friction—not ability—kept you from pursuing, and what would it look like to take the first step this week?
Continue the Journey
If this essay challenged the way you think about humanity, leadership, or artificial intelligence, I invite you to continue the journey with me.
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About The AI Mindset
The AI Mindset is a weekly essay series exploring how artificial intelligence is reshaping leadership, education, organizations, creativity, and the uniquely human qualities technology should expand rather than replace.
This article is part of The Human AI Mindset: A 52-Week Journey—a year-long exploration of how we can partner with artificial intelligence in ways that strengthen human judgment, creativity, capability, contribution, and flourishing.
Each week explores one idea at the intersection of humanity and artificial intelligence. Together, these conversations are building the Human AI Mindset—a practical philosophy for becoming more, not less, human in the age of intelligent tools.
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