You Are Your Own Moat
In an AI economy, the most defensible advantage is the person making the judgement.
Early in my career, I thought librarians were in the information business.
That made sense at the time.
Finding information was often difficult. Accessing specialised research required navigating databases most people had never heard of. Knowing where to look was valuable because most people didn’t.
Then something strange happened.
Information became abundant.
Google happened.
Wikipedia happened.
Smartphones happened.
Now AI.
Today, I watched students use AI to retrieve answers in seconds that would once have taken hours to locate. Yet the quality of their decisions still varied enormously.
Each wave of technology made information easier to access.
Yet the students never stopped struggling.
In many ways, they struggled more now.
Because, although they had information, they could not decide what information mattered.
Which source was trustworthy?
Which argument was strongest?
Which evidence should influence their decision?
The bottleneck moved.
The scarce resource was no longer information.
It was judgement.
Looking back, I think many professions are now experiencing the same shift.
For years, our career moats were built around unique access to knowledge - expertise. AI is forcing us to discover whether our real value was the knowledge itself, or our ability to apply it wisely.
The Moat Is Moving
A moat never made a medieval castle invincible.
It changed the calculation by making an attack costly enough that an enemy might look elsewhere.
For a long time, professionals built their careers the same way. Degrees. Technical skills. Institutional knowledge. Specialist frameworks. Credentials that signalled: I can do something most people cannot.
That worked well while expertise was scarce.
But the abundance of information and artificial intelligence to access it is changing the economics of expertise.
Today, a capable AI can draft reports, write code, analyse data, generate presentations, summarise research, and produce first drafts of almost any knowledge work task in seconds.
Many professionals are asking the wrong question:
“What do I know that others don’t?”
The better question is:
“What can I reliably do with knowledge when everyone has more of it?”
The answer may become the defining career question of the next decade.
The Old Career Moat Is Weakening
The World Economic Forum estimates that technological change will affect 22% of today’s jobs by 2030, with approximately 170 million new roles created and 92 million displaced (World Economic Forum, 2025).
Notice that it doesn’t say all jobs will disappear.
It says jobs will change.
The problem is that many professionals have built their identities around tasks rather than outcomes.
For decades, specialised knowledge created scarcity.
If you knew how to build a financial model, draft a policy, write software, analyse survey results, or synthesise research, you possessed a competitive advantage because relatively few people could perform those tasks effectively.
Today, many of those capabilities are becoming easier to access.
Not erasing the value of expertise.
But reducing the expense of production.
The World Economic Forum identifies analytical thinking, resilience, flexibility, leadership, social influence, curiosity, and lifelong learning among the most important skills for the future workforce (World Economic Forum, 2025).
That list is revealing, particularly when compared to the previous list.
Most of those are not technical skills.
They are human capabilities. So-called “soft skills”.
The market is sending a signal.
Technical literacy remains important, but it’s no longer enough.
If your moat consists entirely of production, it’s becoming exposed.
However, if your moat includes judgement, trust, adaptability, context, taste, and responsibility, it becomes much harder to replicate.
This distinction is important, for AI does not just automate work.
It changes where value sits within work.
And that is where Stoicism becomes unexpectedly practical.
The Inner Citadel as Career Strategy
Marcus Aurelius wrote that people can retreat into their own minds and find renewal there. An Inner Citadel.
Modern readers often interpret this as a spiritual exercise.
For Marcus, it was operational.
For the CEO of the Roman Empire, it needed to be.
He was responsible for governing an empire through war, plague, political intrigue, and economic instability. The Inner Citadel was not therefore his escape from reality. It was how he remained effective within it.
The Stoics recognised a fundamental truth that:
We control far less than we would like, but more than we often admit.
Technology changes.
Markets change.
Organisations restructure.
Industries rise and fall.
None of those sit entirely within our control.
Our response does.
Our judgement does.
Our willingness to learn does.
Our character does.
This idea remains remarkably relevant.
Modern Cognitive Behavioural Therapy traces part of its intellectual lineage back to Stoic philosophy, particularly Epictetus’ observation that people are disturbed not merely by events but by the judgements they make about them (Robertson & Codd, 2019).
The lesson for us isn’t that Stoicism is therapy.
Our lesson is that it offers a practical architecture for thinking under pressure.
In an age of rapid technological change, your advantage isn’t in predicting every disruption correctly.
Your advantage is becoming the kind of person who can remain useful when disruption arrives.
That is what the Stoics would call self-command.
And it may be the most valuable skill in the emerging AI economy.
The Smiling Curve of Modern Knowledge Work
To understand where value is moving, imagine a simple curve.
At the beginning of a project sits human intent.
At the end sits human judgement.
In the middle sits execution.
Historically, most knowledge workers spent much of their careers in the middle.
Gathering information.
Producing documents.
Analysing data.
Creating deliverables.
Executing processes.
Today, AI increasingly operates in that middle layer.
The result looks like a smiling curve.
On the left side sits Intent and Strategy.
On the right side sits Verification and Judgement.
In the middle sits Execution and Production.
The value is rising at the edges and falling in the valley.
Phase One: Human Intent and Strategy
Every meaningful project begins with a question.
What problem are we solving?
What matters most?
What constraints matter?
Who is affected?
What trade-offs are acceptable?
AI can generate answers.
It cannot determine which question is worth asking.
This remains profoundly human work.
Phase Two: Algorithmic Execution
This is where AI excels.
Drafting.
Summarising.
Formatting.
Synthesising.
Generating options.
Accelerating production.
These activities remain valuable.
They simply become less scarce.
The professional mistake is building an entire identity around this middle layer.
Phase Three: Human Verification and Judgement
At the end of the process, someone must decide:
Is this accurate?
Is it ethical?
Will it work?
What are the unintended consequences?
Would I put my reputation behind this recommendation?
AI can suggest.
Humans still decide.
Or at least they should.
Because accountability remains stubbornly human.
This is where the moat will increasingly live.
Not in producing information.
But in deciding what to do with it.
The awkward implication:
If most of your professional value sits in the execution valley, your moat is weakening.
The opportunity is to spend more time operating at the edges.
Required Friction
This creates a curious danger.
As AI removes friction from production, many people assumes removing friction is always good.
Not always.
Human growth requires friction.
Learning requires friction.
Judgement requires friction.
Character requires friction.
If you outsource every difficult cognitive task, you may become more efficient while simultaneously becoming less capable.
You can use AI to summarise a difficult book.
Or you can read the book.
You can use AI to generate strategic options.
Or you can wrestle with uncertainty yourself.
You can use AI to draft every important communication.
Or you can continue developing the ability to think clearly and express complex ideas.
The answer is not rejecting AI.
That would be foolish.
The answer is preserving the forms of friction that build your capability.
The Stoics understood this intuitively.
They did not seek suffering.
But neither did they flee every form of difficulty.
Because strength doesn’t come without training resistance.
The same principle applies to modern knowledge work.
Use AI to remove low-value friction.
Do not allow it to remove the friction that develops your judgement.
The Three Uncopyable Assets
If production is becoming commoditised, what remains difficult to copy?
Three things.
1. Skin in the Game
AI can generate content.
It cannot stake its reputation on it.
Trust accumulates when people observe someone making decisions, taking responsibility, and accepting consequences.
The more accountability attached to your work, the harder you become to replace.
2. Cross-Disciplinary Synthesis
The most valuable insights often emerge at the intersection of domains.
Technology and education.
Psychology and leadership.
Ancient philosophy and modern work.
Strategy and ethics.
Professionals who can connect ideas across fields often see patterns that narrow specialists miss.
This form of synthesis becomes increasingly valuable as information becomes abundant.
3. Deep Human Networks
Relationships remain one of the strongest moats available.
Not because networking is important in itself.
But because trust is.
The best opportunities rarely appear first as job advertisements, tenders, partnerships, or projects.
They travel through trusted relationships.
AI can help facilitate communication.
It cannot replace years of shared experience, reliability, generosity, and credibility.
These assets compound.
And unlike technical skills, these become more valuable as information and intelligence becomes cheaper.
As Naval Ravikant observed, people escape competition through authenticity because nobody can compete with you at being you (Ravikant, 2024).
Authenticity should not be a performative exercise.
Rather, it’s you being strategically specific as to who you are and what you do.
The more your work grows out of your actual judgement, values, experience, and relationships, the harder it becomes to counterfeit.
The Personal Moat Audit
Take a moment and assess yourself.
Not your employer or industry.
You.
On a scale of one to five, how would you rate yourself on:
Judgement
Adaptability
Trustworthiness
Taste
Courage
Cross-disciplinary thinking
Self-command
Where are you strongest?
Where are you weakest?
Most importantly:
Where does your value currently sit?
In the execution valley?
Or at the strategic and judgemental edges?
This isn’t a thought experiment.
It is a career strategy.
Because the future belongs to professionals who can combine technological leverage with distinctly human strengths.
Not one or the other.
Both.
Amor Fati in the AI Economy
The Stoics had a phrase for embracing reality as it is rather than wishing it were different.
Amor Fati.
Love of fate.
This isn’t about fatalistically celebrating every disruption.
Rather, it’s about refusing to waste energy resenting the conditions you are in.
Artificial intelligence will continue to change the nature of work.
Some tasks will disappear.
Others will emerge.
Many will be transformed.
The professionals who thrive won’t be the ones who cling most tightly to yesterday’s moat.
They’ll be those who recognise that the moat has moved.
The old moat was built from scarcity.
Scarce information.
Scarce expertise.
Scarce access.
The new moat is built from something more durable.
Judgement.
Adaptability.
Trust.
Taste.
Courage.
Character.
Let the machines take more of the menial rote work.
Then ask yourself the harder question.
When the easy work is gone, what kind of person remains?
That person is your moat.
Build them.
As AI makes information more accessible, the real differentiator becomes judgement, context, and the ability to make sound decisions. That’s where lasting value is created
I am feeling this one. What stood out to me is the shift from information being scarce to judgment being scarce.
That feels like one of the biggest changes AI is forcing on us. The advantage is no longer simply knowing more or having better tools. It’s becoming the kind of person who can ask better questions, apply discernment, and stay grounded when everything is getting faster.
I also appreciate the Stoic connection here. The “inner citadel” is often treated as a private emotional refuge, but you make a strong case that it is also a practical advantage in modern work.
Great work, Peter; I really enjoyed the piece.