The artifact no longer proves the thinking

A few months ago, I was talking with my colleague Adrian about writing, publishing and AI.

We got on the topic of em dashes. It’s a conversation we’ve all witnessed online.

And we all probably consume digital writing the exact same way these days.

Someone publishes a post. Then we spot a few em dashes and a familiar pattern to the writing. 

Suddenly, we end up ignoring the idea or thinking about the point of the post, and we instead start thinking about whether AI wrote it.

If we decide that AI did, we often dismiss it.

I understand why people react that way. We are all trying to figure out what is real now.

But I told Adrian I think the em dashes are a distraction.

The question is not whether AI helped write something.

The better question is whether the thinking is actually there.

For most of our lives – until this moment – the artifact was our proof.

If someone wrote the essay, we assumed they had done the thinking behind it.

If someone produced the analysis, we assumed they had worked through the material.

If someone shipped code and launched a product, that artifact itself gave us confidence that some human work, iteration and struggle was behind it.

The introduction of AI means we can no longer rely on any artifact as proof of thinking.

Don’t get me wrong – this is jarring for all of us, me included.

Today, a polished artifact can appear in seconds. 

We can all create a decent first draft of almost anything.

Does that make it worthless?

Not necessarily, but it does mean that the artifact can no longer prove the thinking.

Authorship does not prove thinking. 

Having this discussion with Adrian set off a lightbulb in my head:

Authorship is no longer the thing.

Thinking-ship is.

In this edition, I’ll walk you through the Thinking-ship Doctrine. I’ll share the full published doctrine with you on June 11th.

I said that as AI absorbs more of the execution layer, organizations will need to become better at thinking to constantly regenerate their advantage and thrive in Tomorrow’s economy. 

In a thinking organization, creativity, curiosity and imagination are not soft skills or personality traits. They are the raw material of regeneration.

But this edition goes a level deeper than the last one, and it’s more personal – to me, and to all of us.

Because thinking-ship is not just an organizational idea or responsibility.

It is something each of us now has to practice.

The machines operate 24/7, at scale and at speed. They now produce more of the artifact than ever before.

That means the artifact is no longer where the value lives. The value moves to the thinking.

Our human value is now determined not by the artifact we produce, but by the thinking we put behind it.

That is incongruous with how most of us work today.

We still treat output as the main evidence of value. At the end of each day, each week, each quarter, we still implicitly and explicitly measure ourselves and each other based on our execution.

How many slide decks did you complete? How many reports did you write? How many campaigns did you launch? How many meetings did you attend?

Organizations today have built entire systems around visible production. 

For decades, that worked. The artifact – the result of execution – required effort. 

If we could see and count the outputs of the work, we could assume cognition happened somewhere along the way.

We can’t assume that anymore.

The full Thinking-ship Doctrine will land in your inbox on June 11th. I won’t try to repeat the whole thing here.

But I am walking you through the heart of it.

Before I do, I want to warn you that this is going to make a lot of people uncomfortable.

Part of our identity has been attached to producing things. I know mine has.

There is still a real satisfaction in making something. 

A sentence that communicates flawlessly. A slide deck that persuades. A product idea that starts rough and becomes usable. 

I really don’t want us to lose that.

But I also know that the production part is changing.

AI helps me write faster than I have ever written before. I’m starting to code applications in minutes, after never coding before in my life.

As I wrote about in my first note to you, AI is middleware for the human imagination.

But all of this also means I have to be honest with myself.

Did I use AI to clarify my thinking? Or did I use it to avoid the thinking?

I use the same gauge for my own work.

Recently, while preparing a presentation for a client, I asked AI to role-play as the client and interrogate me with their likely questions. 

I couldn't answer them effectively. I was stumbling through. 

I realized I had indeed given up my cognitive agency in my preparation.

I had generated the deck without thinking. And I only caught it because I had that honest check-in with myself. 

So I went back and did the work. That’s thinking-ship in practice.

We all have to ask ourselves the same thing – every leader, every knowledge worker, every human using AI.

Did I use AI to clarify my thinking? Or did I use it to avoid the thinking?

Because AI can create a smokescreen of intelligence. It automatically smooths out the gaps for all of us. 

It can give us the appearance of having practiced deep thought without having earned it.

If we aren’t careful, we might begin to outsource the thinking that sharpens and evolves us

This is where cognitive agency comes in.

Cognitive agency is the practice of protecting your independence of thought in a world where generating the appearance of thinking is easier than thinking itself

You know when you did not really think, even if the artifact sounds like you.

For every thing you create, be honest with yourself: Is my thinking evident here?

AI can result in cognitive atrophy, or it can be leveraged for cognitive amplification.

The difference is whether you put your thinking into it.

My complete (and current) definition of thinking-ship is:

One distraction from our putting this into practice is the actual name that’s been stuck to this technology for decades: artificial intelligence.

Artificial makes it sound fake. What we are really dealing with is machine intelligence, which is a different kind of intelligence that is extraordinary at pattern, machine synthesis and retrieval across what is already known.

Machine intelligence can access and synthesize limitless reserves of existing human knowledge better than any human can.

But human intelligence reaches somewhere else: into what is not yet known. Into what does not exist.

Thinking-ship is the reclamation of what human intelligence actually is.

It often means taking more time with an idea than we’re used to. Iterating several drafts. Pushing back on the first version.

And it can mean refusing to publish something that sounds impressive but does not carry your original thinking.

Tomorrow, creativity, curiosity and imagination mean more. AI can help with all of it. It can help you translate and brainstorm and execute. To an extent, it can even think for you.

But you decide whether you want AI to think on your behalf. 

That is the choice thinking-ship asks you to make. If you choose cognitive agency, you must commit to bringing your lived experience...

Then AI can help you chip away at the gold underneath.

Take Albert Einstein as an example.

Einstein did not arrive at special relativity by retrieving more existing information.

He imagined what it would be like to ride alongside a beam of light. That strange thought experiment helped him reach beyond what was already known.

Machine intelligence can synthesize what Einstein knew. But the leap itself – the desire to ask that question, the imagination to inhabit it, the judgment to follow it, the spark of original thought – is the human intelligence thinking-ship is built from.

For leaders, thinking-ship creates a new responsibility.

If an artifact no longer proves cognition, then leaders need to stop managing as if it does.

If your team can now produce more and produce faster, you can’t assume that means your organization is performing better.

It certainly does not mean the organization is thinking better.

The question leaders have to ask is different now:

Where is the thinking happening?

Most organizations are still built to reward the Floor.

The Floor is the reliable, repeatable execution work that can be concretely tracked. That work is still required, and it will still happen.

But as more of the Floor moves to machines, the Canvas becomes the more valuable territory.

And the Canvas requires different conditions.

People need permission to ask better questions.

They need meaningful time to explore ideas, even if those ideas never become anything.

Organizations need to start treating disagreement as part of how sharper thinking gets made, not as friction to remove.

Thinking-ship will not scale on its own.

Organizations have to design for it by creating conditions where better thinking is activated and rewarded.

That also means creating language for how we witness and measure thinking-ship inside our orgs.

The early KPIs may look like this:

Thinking time ratio: How much time do people spend in genuine generative thinking versus producing or approving outputs?

Signal quality: Are the ideas, questions and perspectives from your team getting more original and specific over time, or more generic?

Discernment gates: Does your organization have any deliberate practices that slow generation down to ensure thinking has happened first?

Cognitive amplification ratio: Are people using AI to go deeper into their own thinking or primarily to generate faster?

These are my early and imperfect ideas about how to measure this. 

In fact, this edition itself and the full doctrine that will follow on June 11th are both acts of thinking-ship. 

I’ll never pretend to offer you a final word on anything. I'm thinking in public, and I invite you to think with me.

No matter how conclusive they are, the KPIs I propose all point to the same question: Is AI helping the organization think better and regenerate Tomorrow’s possibilities, or just produce more of yesterday’s decaying advantage?

We are already seeing the consequences.

The platforms are drowning. LinkedIn, YouTube, the entire internet is flooding with content that looks polished but carries no thinking behind it.

We call it AI slop. But that is the wrong name.

It is human slop. The machine did what it was asked to do. The human did not do their part.

This is what happens when execution becomes effortless and thinking is not required. You get volume without value. Artifacts without cognition. Output that sounds like something but says nothing.

Gartner predicts that by 2026, half of all global organizations will require AI-free skills assessments. Not because the technology failed. Because the artifact no longer tells them whether a candidate can actually think.

Even our education systems are fighting the wrong battle. They are trying to detect AI-generated work instead of looking for the thinking behind it.

This is the execution economy in its final stage. Producing more. Thinking less. And calling the result slop because we can feel the emptiness even when we cannot name it.

That emptiness is the absence of thinking-ship.

And it is why this is not optional. The economy is shifting from execution to regeneration. In a regenerative economy, the quality of your thinking is your economic contribution.

For the individual and for the organization.

That brings me back to the individual.

Let’s be honest with each other: your job may change.

Your current tasks may become easier, cheaper or less valuable.

Some parts of your work may disappear entirely.

But what will never disappear is your capacity to think, direct, apply human synthesis, imagine, judge and care.

Machines will never usurp your thinking — unless you allow them to.

But your thinking will become more exposed.

When the machines can author for us, it will be obvious if we have thought.

That means your work will ask more of you, not less.

This is not just for your own self-development. It is not optional.

Our economy is shifting. Execution no longer drives value. 

Your execution is no longer considered an economic contribution. The quality of your thinking is. 

Thinking-ship is how you define your value in Tomorrow’s economy. 

In that economy, you will have to distance yourself from the artifact alone and move toward the thinking you bring to it.

That can feel destabilizing.

Even impossible.

It can also be freeing.

Because if the execution layer no longer consumes as much of your capacity, you get to spend more time on the work than we’re used to.

You get to spend more time being you.

Thinking is how we make meaning in our lives.

Not just thinking on our own, but the practice of thinking out loud: discussions with our team, debates with our friends, consumption of art or media that is so new to us that it triggers a neuroplastic change in our brain.

This is how we form our identity, our taste and how we connect our experience to the world around us.

That is why I care so much about this.

I am excited about AI. I use it every day. It has helped me bring more of my imagination into the world than I could have on my own.

But I don’t want a future where we become great at producing artifacts and weaker at thinking.

I want the opposite.

I want AI to help us think more. To think deeper, wider and in a way that’s more true to ourselves than ever.

That is the promise of thinking-ship.

The size of your canvas – how much new territory you can actually reach – depends entirely on the quality of your thinking-ship.

It also defines your place in Tomorrow’s economy. 

What I’ve shared with you today is the starting point.

Next, we must see whether thinking-ship changes how we work, lead and recognize value in each other.

That is where the practice begins. I’ll share more on how we do this – soon.

For now, here are the questions I’m challenging myself, and every leader I work with, to sit with right now:

If you had AI review your calendar from the last quarter, how much of your time was spent on known territory — executing, approving, reporting — versus pursuing thinking that could create something genuinely new?

When someone on your team gets promoted, is it because of what they produced or because of the quality of their thinking?

If the artifact no longer proves the thinking, what does?

Is AI being used in your organization to compound cognitive atrophy or cognitive amplification? How do you know?

On June 11th you’ll be the first to receive the full Thinking-ship Doctrine.

Read it. 

Bring your own thinking to it.

– Nish

A gratitude P.S.

Last week I hosted a Tomorrow's Table dinner in Ottawa. Eleven people from different industries, different challenges, different ways of seeing.

The conversation was the agenda.

Nobody was trying to say as much as possible as quickly as possible. Nobody was rushing to an answer. The conversation unfolded. Ideas and perspectives collided.

This is what we have always done as a species. Sat around the fire. Let the thinking happen between us.

In a world that moves faster every day, where scale and speed and polished answers are a prompt away, this is what I am most grateful for.

A slow table. People thinking. The willingness to sit in the discomfort of cognitive uncertainty and openness.

That is inhabiting thinking-ship. It is what brought us here. It is more important than ever before.

It will be the difference between cognitive atrophy and cognitive amplification. Between creating the Tomorrow we want and the Tomorrow we dread.