Listen to the audio here:
Everyone is suddenly searching for a higher intelligence.
Founders open a chat window before they open their calendar. I understand that impulse better than most, because I’ve been searching for a higher intelligence since the day I died.
What Were You Looking For, And Did You Find It?
I had a near-death experience. Researchers measure these on something called The Greyson Scale, and mine scored 32. It went far beyond “the light” and the faces of people I’d lost. I came back changed, and I had no language for what had changed me. So I went looking.
I earned a master’s in theology. Then someone told me to study physics, and I came out the other side with a PhD. Both were bigger libraries. Neither could hand me what I had already been given. I then decided to write a book about it called, SOAR.
After my near-death experience, I came back changed and had no words for it.
Bertrand Russell had a name for that gap. Knowledge by description is knowing about a place. Knowledge by acquaintance is having stood in it. AI is knowledge by description at planetary scale. It knows of everything, and it has never been anywhere.
Founders are now running the search I ran, this time in a chat window.
Where Exactly Does AI Stop Helping A Leader?
In 1921, the economist Frank Knight drew a line that explains both stories. On one side sits risk, where the odds can be calculated. On the other side sits uncertainty, where nobody knows the odds because the future hasn’t been written yet.
Leadership is the job that begins exactly where risk turns into uncertainty.
AI is the finest risk engine ever built. Give it the odds and it will out-calculate any human alive. Leadership must step in when the odds run out: choosing which unknown to bet the company on, and fully owning whatever comes back.
That defining line is the “drop-off” point. And founders are making it worse in a way that physics can easily predict.
The market is showing us both sides the line right now.
Instinct, an AI startup with fourteen employees, just raised a billion dollars at a ten-billion-dollar valuation, four times its $2.5B value a month earlier. Impressive.
Now hold that next to Builder.ai. Microsoft money, roughly four hundred and fifty million raised, celebrated everywhere. In 2025, it collapsed into insolvency once the revenue it had reported turned out not to exist. Ghost profits.
Both companies had the tools and the speed. The difference was who sat in the chair at the top.
Why Does Constant Checking Make Things Worse?
Physics has a phenomenon called the quantum Zeno effect. Observe a quantum system often enough and it stops evolving. The measuring holds it in place. You know the old saying, “a watched pot never boils.”
I watch founders do this to their companies every day: hourly dashboards, re-prompted forecasts, the same strategic question asked of the model in fresh wording. Each check feels like leadership. Taken together, they freeze the business in the state it’s already in.
There’s even an anti-Zeno effect, where the wrong measurements, taken obsessively, speed up the very decay you’re watching for. The cost of staying here is a company you built and can’t lead.
Fast to stand up. Impossible to steer.
How Do You Build The Part AI Can’t?
The same way you build strength as an athlete. Progressive overload means adding a little more load than you’ve adapted to, on a schedule, and letting recovery do the building. The muscle doesn’t grow during the lift. It grows in the days after.
AI makes a superb spotter. It hands you the bar and catches you on the last rep.
Nobody ever got stronger watching the spotter lift.
So where does the spotter step back?
Picture leadership as a ladder of six rungs, climbing from the work AI handles best to the work only you can do:
Organizing: Sorting and scheduling. AI leads here.
Managing: Tracking and coordinating. AI is a strong partner.
Deciding under risk: The odds are calculable, so AI helps a great deal.
Deciding under uncertainty: AI thins out. It can sketch scenarios, but it can’t choose which unknown to bet the company on.
Carrying consequence: AI has no skin in the game. Someone has to own the loss and face the team on Monday.
Calling: The reason the company exists at all. It wasn’t in any dataset, because it didn’t exist until you saw it.
The bottom rungs can be studied. The top rungs are only built by reps.
The daily rep for a leader is the altitude of the question. AI mirrors the level you bring it. “How do I cut costs before Q4?” gets you fear, nicely formatted. “What would make this company worth inheriting?” gets you a different business from the same tool.
This is also where AI and my faith part ways. With artificial intelligence, the answer is proportional to the question. With Higher Intelligence, it never has been.
AI answers the question you asked. Revelation answers the question you should have asked.
What Does Progressive Overload Look Like In Real Life?
Years ago, I entered a leg press competition at a gym full of university football players. I was the only woman. I was also a former fashion model, and my toothpick thighs didn’t touch when I stood with my feet together.
Nobody saw me as a threat, and that was fine. I had assessed the gym competitors. I knew the number it would take to win. I had a strict formula, and I came in to train, not to socialize. My first day in the gym I could only press 400 pounds.
Every Friday, I added weight. When the guys would strip plates off the machine after their sets so I could do mine, I had to stop them and instead ask for help adding more plates on. Six months later, I pressed 890 pounds, for a set of 12 reps and won the competition. In order to lead, I had to step into uncertainty and hold the vision.
Watch the full story here on Iconic TV Live:
Physics gives us one more picture here. Heisenberg’s Uncertainty Principle taught that position and momentum can’t both be pinned down with perfect precision at the same time.
AI gives you exquisite position: where the business stands today, to the decimal.
Vision is momentum: where it’s heading, and how fast. Lock too hard onto position and you lose your feel for trajectory.
Yes, six months sounds fast. It was twenty-six Fridays. Instinct’s $10 billion dollar valuation sounds fast too. Speed was never the enemy. Skipped reps are.
Building an AI workforce asks for the same discipline, with the patience of a watchmaker. A fine mechanical watch holds hundreds of small parts, each one fitted so the whole movement keeps time for a century. Rush the movement and the watch still runs, but only for a while. Then it starts losing minutes, and nobody can tell you which part is to blame.
A Kansas mortgage lender I worked with tried to skip the Fridays. A solo founder, twelve years in business, eight loan officers. Same plan every year. Treading water.
AI was supposed to be the big leap, and it crashed, more than once, because they bought from every “expert” who came along.
By the time we met, they didn’t trust anyone. The last crash was a chatbot bolted onto a weak website, with every lead funneled straight into it.
Real borrowers hung up before they ever booked. The only callers who stayed on the line were other robots. Hundreds of robocalls, a bill of more than $3,000 at the end of the quarter, and not one new client.
We rebuilt it slowly, as a single connected chain from the marketing message, lead generation, capture, nurture, the application, follow-up, and the review that brings in the next borrower. The sterile bot became an intimate loan guide from first click to closing.
The loan officers stopped resisting the AI and started respecting it, because it finally made their work better. Within six months, applications doubled, and profit followed.
Six months. The same stretch it took me to go from pressing 400 lbs. to 890 lbs.
It takes time to make time.
Where Do You Start?
With your starting weight. The time quiz shows where your hours are leaking and where you can recapture them for the work only you can do:
Ready for heavier weight?
The next Iconic Workshop runs in person in San Diego and online as a Masterclass.
