Identify Your Defensible Value

People who spun wool by hand needed to become machine operators. Those who fixed wheels on horse-drawn carts needed to become car mechanics. Every major technological shift has demanded the same thing from the people living through it. Not that they disappear, but that they find a new place in the value chain.

If we follow this line of reasoning to where we are today with AI, the conversation most people are having is the wrong one. It is fixated on replacement. What will AI take? Which jobs are at risk? But if history teaches us anything, it is that the better question has always been about repositioning.

What becomes more valuable when the tools get more powerful?

That is the question worth sitting with. Because the answer, I think, is more interesting than most of the headlines would have you believe.

The Value Chain is Shifting, Not Shrinking

There is a temptation to see AI as a flattening force, something that compresses the gap between experienced professionals and newcomers. I would argue the opposite is true. If AI raises the bar of capability and capacity across the board, then the human who is orchestrating, directing and making the judgement calls becomes even more critical than they were before.

If we follow that logic, the differential between a great thinker with the right tools and everyone else will not flatten out. It will be exaggerated.

The right thinkers with the right tools will leave the rest in the dust. Not because they are smarter, but because they have positioned themselves correctly in the value chain.

Think about what that means in practice.

If you are a developer today, your long-term defensible value probably is not in writing every line of code. But it might well be in architecting solutions, validating approaches and scaling the agentic workflows that produce that code. The technicians who understand how to build, test and govern these systems will be more essential than ever, not less.

If you are a designer, your value probably is not going to live in pushing pixels left and right forever. But it is almost certainly in the creative vision, the inspiration, and the ability to shape and guide output toward something that actually resonates with a human audience.

The pattern holds across every discipline. The people who thrive through this transition will be the ones who move from executor to orchestrator. From the person doing the work to the person directing, refining and quality-assuring the work.

This is not a story about humans becoming less important. It is precisely the opposite.

If we treat AI as a tool, it will be a tool. If we treat it as a threat, it will be a threat.

The Thinking and Doing Split

If all of this feels abstract, here is a practical exercise that I have been running with teams lately. It has become one of the most useful starting points I have found for thinking clearly about where AI fits into a role, and more importantly, where it does not.

Write down everything you do in a typical week. All of it. The emails, the reporting, the creative work, the client calls, the admin, the strategy sessions. Be as exhaustive as you can.

Then split that list into two columns.

Thinking covers strategy, judgement calls, creative leaps and relationship-building. The work that requires context, intuition and experience. The things you do that depend on who you are and what you have learned, not just what process you are following.

Doing covers execution, repetitive process, formatting and the moving of information from one place to another. The work that, if you are being honest with yourself, does not require your unique perspective to complete.

That doing column is your AI opportunity map. It is where intelligent automation can genuinely free up your time and energy. But the thinking column is something altogether more important.

It is your defensible value. The work that is uniquely, irreplaceably human, and the foundation you should be building your future role around.

Not Everything in "Doing" Belongs to AI

There is a further step worth considering here, and it is one that gets overlooked in the rush to automate everything.

Look through the doing column again and identify the tasks that are simply and fundamentally human. Service. Physical presence. A handshake. Eye contact across a hotel lobby. The warmth of someone who genuinely cares about your experience.

Not everything that looks like execution is execution. Some of it is connection, and no algorithm is coming for that.

In hospitality especially, this distinction matters enormously. The operational tasks that involve human presence and human empathy are not weaknesses in your workflow. They are differentiators. Recognising which doing tasks are truly automatable and which are quietly essential is part of thinking clearly about this whole landscape.

The Opportunity

We are living through one of the most significant inflection points in how work gets done. The scale of change is comparable to industrialisation, and the opportunity is genuinely extraordinary for anyone willing to think clearly about where they sit in the value chain.

Someone with a clear understanding of their defensible value, good workflows and the right mindset will outperform others by an order of magnitude.

That is not hyperbole. It is the logical conclusion of what happens when the cost of execution drops dramatically but the value of good thinking stays the same, or increases.

The spinning wheel operators who saw the machines coming and learned to run them did not just survive. They thrived. The ones who insisted the old way was the only way are footnotes.

We get to choose which group we belong to.

Try the exercise. Identify your defensible value. Work out where the value chain is heading in your discipline. Then engineer your role around it.

That is your starting point. The rest follows from there.