AI may be making intelligence abundant. That moves the real work to awareness: what we notice, question, and choose.
The AI Mindset — Essays on Human-AI Leadership
by Dr. Cory B. Scott | Rung 13
This rung 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.
Twelve Exits Ago
You know the feeling. You’re driving home on the interstate, and somewhere around your exit you snap back into your body and realize you have absolutely no memory of the last twelve. You stayed in your lane. You used your turn signal. You presumably did not hit anything. But you weren’t really there. Something else was driving.
Psychologists have a name for it: highway hypnosis. Most of us have another name for it: Thursday.
Because it doesn’t only happen in cars. We run entire careers that way—executing projects, answering emails, hitting metrics, sitting through meetings; competent, busy, and almost completely unconscious.
For me, one of the clearest wake-up calls came from a blinking cursor. I was staring at an AI prompt box, fingers on the keyboard, feeling oddly stuck. And then it hit me: I couldn’t tell the machine what I wanted because I didn’t actually know what I wanted. The machine hadn’t failed. My autopilot had just crashed into a mirror.
That’s the strangest part of waking up. You realize how long you were asleep, while everyone around you was congratulating you on your productivity.
Life on Default
Look closely and you’ll find that a surprising amount of life simply runs by default.
Think about the weekly status deck that nobody reads but everybody updates. The KPI review that measures what mattered five years ago. The recurring meeting that exists solely because someone sent a calendar invite in 2021 and nobody has had the courage to decline it since. It all looks like strategy. Most of it is just repetition wearing a blazer.
The deeper defaults are harder to see. We rarely choose our assumptions about work, value, or success. We absorb them by osmosis, from our first bad boss, from our industry’s jargon, from social feeds engineered to keep us slightly anxious and scrolling. Before long, inherited frameworks feel like personal convictions.
To be fair, autopilot isn’t a character flaw. It’s one of humanity’s favorite survival mechanisms. If you had to consciously think about every step, every word, and every decision, you’d be exhausted by 9:15 a.m. Habits save energy, and that’s a gift.
But defaults are built for the world as it was. When the world shifts violently—and a cognitive revolution counts as violent; running old code faster doesn’t make you more effective. It just drives you into a wall with greater efficiency.
A Mirror Before a Machine
Here’s the turn. We tend to think of AI as a machine that produces answers. But before it is a machine, it is something else: a mirror.
AI may be making intelligence abundant. That shifts the real work to awareness, to what we notice, question, and choose.
Programmers have long said “garbage in, garbage out.” With AI, that’s no longer just a technical warning; it’s an existential reveal. A vague, lazy prompt produces a vague, boring platitude. The output becomes a high-resolution printout of your own clarity, or your lack of it.
Which is why two people can use the same tool and get completely different results. The amateur uses AI to avoid thinking. The deliberate thinker uses AI to discover how poorly they were thinking before they ever put words on the page.
When the machine hands you a shallow answer, the first instinct is to be annoyed at the software. The awakened instinct is a little more humbling: Hang on. I asked a lazy, safe, superficial question. The mirror didn’t lie. It just showed you what you brought.
And it doesn’t only reflect our questions. It reflects our assumptions, the premises we never stated because we didn’t know we held them and our blind spots, the angles that never occurred to us until the machine casually mentioned them.
Awareness Comes Before Judgment
Last week’s rung was about discernment, the ability to look at a hundred options and say, “This one has a soul.” But there’s a step that comes even before that. You can’t curate, edit, or judge what you never noticed in the first place. Awareness is the raw material that judgment cuts into shape.
The trouble is that so much of what shapes our awareness is invisible. Every interface, dashboard, and workflow quietly tells us what counts and what to ignore. The metrics on the screen become the reality in the room. If an algorithm decides what’s visible on your screen, it has already started deciding what’s possible in your head. I've been calling this shaping layer the Prematrix, the systems, defaults, and designs that pre-structure what becomes visible before we ever begin to judge. By the time we start thinking, something has already done some of the choosing for us.
That’s the difference between reaction and reflection. Reaction is reflex: threat, dopamine, panic, reply. Reflection means stepping outside the frame long enough to ask a different kind of question: Why was this the only option presented to me? Who decided what I’d see?
The Battle for Attention
That question; who or what decides what becomes visible to us, may be one of the defining questions of this era.
There is an entire industry built on the answer. Notifications, urgency flags, Slack pings, red badges, autoplay, and algorithmically engineered outrage are all competing for the same scarce resource: your focus. It’s less a marketplace than a mining operation, and human attention is the ore.
Here’s the tragedy. The essential things are almost always quiet. Craft. Deep listening. Moral clarity. Strategic doubt. The nagging sense that something is off. None of them come with a flashing notification. The trivial things, meanwhile, arrive in neon red with a little number attached.
We often describe attention as a spotlight. It may be more accurate to call it a border guard. Whatever you let past the gate becomes the material your mind has to work with and that sets the ceiling on your judgment. Guard it carelessly, and other people will happily decide what you think about.
Anesthesia or Diagnosis
So does AI deepen our awareness or numb it? Honestly, it can do either. The tool doesn’t decide. We do.
Path one is anesthesia. We use AI to skip the ache of ambiguity, paper over weak reasoning, and generate fast, synthetic consensus so we can stop thinking and go back to sleep. It feels like progress. It’s really a more comfortable nap.
Path two is diagnosis. We use AI to pull apart our unspoken assumptions, expose the gaps in our perspective, and shine a light on the places where we’ve been fooling ourselves. It’s less comfortable. It’s also where growth happens.
Watch out for the seduction of fluency. Because the machine sounds so confident—so well organized, so beautifully punctuated, it can trick us into believing an unresolved problem has been solved. But a fluent sentence is not an answered question.
And let’s be honest about why people choose anesthesia: waking up hurts. Real awareness can force you to admit that you’ve defended an obsolete policy, tolerated a hollow ritual, or spent five years solving the wrong problem. Defending your identity is always emotionally easier than revising your assumptions.
Waking up has a rhythm. You catch yourself on autopilot. You pause before the reflex fires. You welcome the sting of being corrected. And then you deliberately rewrite the code. None of it is glamorous. All of it is necessary.
Leaders Have to See Clearly
All of this matters more the higher you climb. Power comes with insulation. The more senior you become, the more people filter the truth before it reaches your desk softening the bad news, rounding up the good, leaving out the awkward parts. Without meaning to, many leaders end up governing an imaginary organization designed to keep them comfortable.
That’s dangerous, because stewardship of judgment requires stewardship of perception. That's why leaders also have to pay attention to the Prematrix around them, not only the decisions they make, but the systems, filters, and assumptions that shape what reaches them in the first place. If a leader can’t see their own blind spots, their “decisiveness” is just autopilot with a bigger title and higher stakes.
Leaders who see clearly do three things on purpose. They surface blind spots, actively hunting for what they’re not seeing instead of waiting for it to find them. They invite dissent, making it genuinely safe for the people closest to the work to say, “I think this is wrong.” And they reward the messenger, so the next uncomfortable truth arrives sooner.
AI can help here, if you use it as a diagnostic instead of a flatterer. Stop asking it to polish your announcement or write praise for your plan. Ask it to play your sharpest, most skeptical critic: “Here is my strategy. Tell me the three reasons it will fail that my team may be too nervous to mention.” Then, and this is the part that matters, take those reasons to your team and ask if they’re right. AI can rehearse dissent. It can’t replace the courage of a real person telling you the truth.
That’s the Human AI Mindset in practice: assistance that sharpens our sight, not abdication that hands our seeing to someone, or something else.
The Practice: Catch the Reach
Here’s the practice for this week, and it’s simpler than it sounds.
Notice every time you reach for AI. Not to stop yourself, just to catch the moment. Before you hit Enter, pause for five seconds and ask: “What am I trying to know, and what might I be missing?” You may find that sometimes you’re trying to understand, and sometimes you’re trying to avoid the work of deciding. Both are worth knowing.
If you want to go a step further, try two more experiments. First, take something you believe strongly and ask the model for the strongest possible argument against it. Second, when it pushes back with something uncomfortable, don’t argue or re-prompt for three full minutes. Just sit with the friction. That itch you feel? That’s what waking up feels like from the inside.
We Don’t Wake Up Once
It would be lovely if awakening were a one-time event; a certificate you could frame and hang on the wall. It isn’t. Awareness is an unstable state. It collapses the moment we get tired, stressed, or a little too confident.
Certainty is a kind of sleep; curiosity is a kind of wakefulness. The moment you think, I’ve finally got this figured out, you’ve probably drifted back onto autopilot.
That’s part of why 52 Rungs exists. Each week isn’t a software upgrade that installs once and runs forever. It’s an alarm clock going off in the middle of an ordinary routine, asking: Are you still here? Are you still seeing?
And when you do wake up, even for a moment, something interesting happens. The room doesn’t rearrange itself. Your team is the same. Your inbox is the same. The market is the same. But the veil drops, and you start to see the currents running underneath the surface, the assumptions, incentives, habits, and fears that were shaping everything all along.
We are building machines that can analyze distant galaxies, parse genomes, and index nearly every word humans have ever written. All of that machine perception will be strangely hollow if we use it to stay comfortably unconscious about ourselves.
We don’t wake up once. We practice waking up.
One Idea to Remember
Awakening begins when we notice what has been shaping us without our permission. AI doesn’t wake us up by being brilliant; it wakes us up by acting as an unsparing mirror, reflecting the quality of our questions, the assumptions we never examined, and the blind spots we didn’t know we had. As intelligence becomes abundant, the scarce human work becomes awareness: what we notice, what we question, and what we choose. If we want intelligent answers, we have to stop living on autopilot.
Noticing is only the first step. Once we can see what has been shaping us, the next question is what we choose to do about it and that is where the next rung begins.
This week’s question:
What has AI helped you see that was already there, but you never noticed?
Continue the Journey
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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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