Veritas Silentii Conversations Across Time
Conversations Across Time
Conversation No. 2 · August 2026
Werner Heisenberg and the Agentic Uncertainty Principle
What if agentic systems can measure almost everything about your work…except what makes you valuable?
Remember that introductory physics class?
Yes, that one.
The professor introduced you to a strange quantum world where the comforting certainty of knowing where something is…and therefore anticipating where it is going…began dissolving into a fog of probabilities.
For many of us today, that suddenly feels less abstract.
We were taught something similarly reassuring about our careers.
Learn the right skills. Work hard. Climb the ladder. Your present position would tell you something reasonably reliable about where you were going.
That future doesn't feel quite so certain anymore.
So perhaps the physicists who confronted their own collapse of certainty a century ago have something interesting to tell us.
So, come with me to Copenhagen and let's find out.
It is February 1927. The city is cold, windy and rain-soaked.
We stop outside a three-story, grey-stuccoed building that houses Niels Bohr's Institute for Theoretical Physics. Inside, on the first floor we hear chalk scratching across a blackboard crowded with equations.
Werner Heisenberg is twenty-five. Niels Bohr is forty-one. If the weather were better, they might have been on one of their frequent walks in the park just behind the Institute, arguing about reality, and what we can actually know about it. But today, because of the weather, we find them inside Bohr's private office.
Arriving from a century in the future might complicate the discussion, so I decide not to interrupt.
They don't notice me standing near the door. So, I remain quiet and just listen.
And after a few minutes, I get the feeling our visit is about to become considerably more interesting than that physics lecture years ago.
A Familiar Kind of Uncertainty
For centuries, physics had offered an enormously reassuring picture of the universe.
If you could determine where something was, how fast it was moving, and the forces acting upon it, then…at least in principle…you could calculate where it was going. And more information produced greater and greater certainty.
In 1927, that comfortable idea is coming apart. At the quantum level, nature is refusing to behave according to the familiar rules.
Heisenberg has been working on a mathematical description of a strange new world in which the neat trajectories of classical physics disappear, and probabilities take their place.
Bohr is wrestling with what all of this means. Their disagreement is technical, philosophical, and apparently exhausting.
But as I listen, I realize I've brought with me a problem that sounds strangely familiar.
Perhaps the same question has been echoing through time.
And a century later, we're asking it again.
Meet the Young Man with New Ideas
Two years earlier, Heisenberg had gone to the windswept North Sea island of Helgoland to escape a miserable case of hay fever. He arrived there carrying a problem that had been frustrating physicists across Europe.
While no one could actually observe such small particles, the familiar concept of electrons orbiting an atomic nucleus like planets around the sun simply wasn't matching what experiments were showing.
So, Heisenberg did something radical.
He stopped trying to physically picture electrons orbiting an atomic nucleus.
Instead, he built an image of this incredibly small world with mathematics and let the calculations take him where physical pictures could not.
But those calculations revealed something strange.
The more precisely the mathematics could tell him where a particle was, the less precisely it could tell him how it was moving from there.
And vice versa.
Now, two years later here in Copenhagen, Heisenberg and Bohr are still wrestling with what this strange new reality actually means.
I know something they don't…but I can't tell them. It is 1927, and the idea they're discussing is about to become inseparable from Heisenberg's name:
The uncertainty principle.
And as I listen to the argument, their problem begins to sound uncomfortably familiar.
In the Agentic Age, our systems can collect and analyze more information about professional activity than anyone in this room could possibly imagine.
They can tell us an extraordinary amount of precise information about where things stand right now.
What people produced.
What they completed.
How quickly they responded.
What the numbers say today.
But what we really need to know is harder…where are things going.
What are the leaders thinking? What judgment supports their decisions? What value is being created that has not yet become visible?
That's the question I came to Copenhagen to ask.
Because what happens when what we can measure precisely isn't everything we need to know?
Now I Tell Heisenberg About Our Remarkable Machine
Eventually the argument quiets.
Heisenberg and Bohr finally notice the stranger standing near the door in very peculiar clothing.
They want to know where I came from.
So I tell them.
Perhaps after spending their days contemplating a universe stranger than anything I could invent, a visitor from 2026 doesn't seem entirely impossible.
I explain that in our world we have built machines capable of processing quantities of precise information neither man could have imagined.
And increasingly, we're turning those machines inward…toward ourselves.
They can measure our individual output, messages, response times, projects, sales, customer interactions, completed tasks…millions of pieces of professional activity simultaneously…and find patterns no human manager could possibly see.
Behind me, Bohr is still scratching something on the blackboard.
But I've captured Heisenberg's attention.
"And what do you do with all this information?"
"We use it to understand how people are performing."
He thinks about that.
"Does it?"
"Sometimes."
The chalk stops.
Heisenberg studies me for a long moment.
"You've traveled a century," he says, "to ask the man who is challenging a world that still believes in perfect certainty…if he thinks a future machine can finally deliver it."
I don't have a quick answer for that.
Now Bohr is listening too.
The Fog and the Snapshot
I try to explain what it's like in my world.
I ask them to imagine all the work occurring inside one of our large companies.
Millions of messages, decisions, meetings, ideas, customer conversations, experiments, failed attempts, corrections and insights.
All continuously moving and interacting.
For the next century, I tell them, no one will be able to observe more than a tiny fraction of it.
At the word observe, I see both men become more interested.
I briefly explain artificial intelligence and describe what it can do. They look at me disbelievingly, so I tell them to think of AI in our world, like their revolutionary ideas about reality in theirs.
That seems to satisfy them, so I move on.
I tell them that AI can absorb enormous amounts of the flow and identify patterns and probabilities.
Which project may fail?
Which customer may leave?
Where is risk increasing?
Who appears to be performing?
What is likely to happen next?
Heisenberg murmurs almost to himself:
"It's a probability fog of possible futures."
Bohr is listening intently now.
I think they recognize something from their own argument.
"But our organizations can't manage a probability fog," I explain.
"Investors, owners and managers always want to know one thing:
Where are we now?"
So, we freeze the flow long enough to take a reading.
The fog becomes a point.
A snapshot.
And because the snapshot looks precise, we begin treating it as though it were reality itself.
Heisenberg sees the problem immediately.
The Example of Two Professionals
They seem to be having more trouble imagining a twenty-first-century corporation than grasping the general theory of AI.
Perhaps that should not be surprising…after all, they are scientists, not business managers.
So, I give them an example.
Two senior professionals work for the same company.
For three hours one Tuesday morning, the first creates an enormous observable trail of activities…meetings, messages, reports, completed tasks, decisions, AI-generated analysis.
The system can see almost everything she does.
The second appears to do very little.
He reads.
Thinks.
Takes a walk.
Then he makes one phone call challenging a single assumption in a proposed acquisition.
The company doesn't make the deal.
Six months later, that decision has prevented a hundred-million-dollar mistake.
"Which professional created more value?" I ask.
Heisenberg sees the trap.
The first created more observable activity precisely describing what was happening at the moment.
The second may have created more value related to where the organization was headed.
"But when we took the measurement," I tell him, "we couldn't know that yet."
That's the distinction.
"The measurement wasn't necessarily wrong."
At that moment, the first professional really had produced more observable work. What may have been wrong was what we inferred from it:
"That what we could measure was an adequate proxy for what mattered."
Both Heisenberg and Bohr glance back toward the blackboard.
I think I've accidentally given them a clue…they return to their argument.
What Our Measurement Misses
Our systems are becoming extraordinarily good at measuring visible professional activity. Reports. Presentations. Messages. Completed work. Decisions already made.
But professional value often depends on something harder: where is the person's judgment taking the work?
Why this recommendation?
Why now?
What risk did they see?
What alternative did they reject?
What happens next?
The Agentic Uncertainty Principle
When Heisenberg walks to the kitchen to get a glass of water, I take the opportunity to tell him about an idea that just occurred to me.
Everyone in our 2026 world knows what it feels like to have the actual flow of work interrupted by demands to report on that work…the almost continuous need to know where we stand on our projects.
"Every time I'm asked, I need to stop and tell them exactly where I stand. Eventually, measuring the work begins competing with doing the work."
Heisenberg smiles.
I walk to the blackboard and write:
The Agentic Uncertainty Principle
The more precisely we measure where professional work stands, the greater the danger that we mistake the snapshot for the value still being created.
Heisenberg studies the words.
"Uncertainty Principle," he says almost to himself, "I like that."
Then, after a long pause:
"So," he says, "what your machine can't see is judgment."
"Not easily. Knowing when not to act. Recognizing when everyone is solving the wrong problem. Seeing the consequence nobody modeled. Knowing when an apparently excellent recommendation should be ignored."
I pause.
"And as AI makes visible work cheaper to produce, the judgment behind it may become more valuable."
For most of our conversation, Bohr has listened but said very little.
Now he interrupts.
"Do these people know they're being measured?"
"Of course."
He looks at Heisenberg, then back at me.
"Then why do you assume that when they are being measured, they will continue behaving the same way?"
That stops me.
Heisenberg too.
Because Bohr has just opened a second problem. We both see it immediately.
If professionals know what the machine can see.
And they know what the machine rewards.
Then perhaps they will begin producing more of what it can see.
And that may be considerably more dangerous than simply measuring the wrong thing.
Apparently, there's more to talk about.
We'll come back to Copenhagen next week for that Conversation.
But before I leave, I have one last question for Heisenberg.
"If the machine can't completely see professional judgment, how should we make ourselves visible to it?"
He shakes his head and tells me that I've asked the wrong question.
I think perhaps that's what I came here to discover.
He turns my question around:
"Why are you trying to make everything valuable about yourself measurable to your machine?"
I don't have a very good answer.
Perhaps neither do they.
The chalk is still moving when I leave them to it.
Somewhere behind me, two men are still wrestling with the ideas that will outlast both of them, carrying their names into a distant future.