The Inspiration Age, Part 2 of 3
In Part 1 I argued that computation keeps climbing a ladder of work. First the algorithmic rung, then the heuristic, and now it is reaching toward the top: telic work, inspirational work, the work of purpose and judgment and taste and trust and care. I called it inspirational because the word comes from in-spiriting, the breathing of purpose into the work. AI can supply a near-infinite how. The why is still ours.
That sounds philosophical. This post is about money.
Because the relocation of human value to the top rung is not just a nice idea about meaning. It is the single most important strategic fact of the next decade. And it sorts companies into two postures that compound in opposite directions.
One posture leads somewhere. The other is a trap. Most organizations are walking into the trap right now, and they do not even see it.
Two Postures
Beside AI. You point your people at the same work the machine now does. Drafting. Summarizing. Generating. Analyzing. You compete on the machine’s turf: speed, volume, cost per output.
This is the instinctive move. It feels prudent. It is a trap.
Competing beside AI is zero-sum and commoditizing. It is a race to the bottom, run from a scarcity mindset. Cut heads. Shave margins. Defend the moat. Squeeze a little more throughput. You will lose this race, because there is always someone willing to run the model cheaper. And the model runs itself. Competing beside AI means measuring your humans by the one yardstick on which they are now structurally disadvantaged.
The math does not work. It cannot work. Stop pretending it will.
On top of AI. You treat AI as an abundant substrate. The ground floor, not the product. You spend scarce human attention on the layer above it: the purpose-work that creates new value and new markets rather than dividing up existing ones.
This is an abundance posture. And it is not wishful thinking.
It is abundant for two concrete, structural reasons. And those reasons are why this matters so much, right now, before the sorting is complete.
Why “On Top” Is Structurally Abundant
First, AI drives the cost of the lower rungs toward zero.
Cognition. Drafting. Synthesis. The first eighty percent of most knowledge tasks. These are becoming nearly free and nearly instant. Anything you build on top of a substrate whose cost is collapsing inherits enormous use. The execution layer stops being the bottleneck. The things that used to take a team of analysts a week now take a prompt and a few minutes. The things that used to require expensive specialists are becoming commodity inputs.
This is not a prediction. This is happening now. The cost curve is already bending. And it will keep bending.
Second, the goods of the top rung are non-rivalrous and expandable.
Meaning. Purpose. Trust. Taste. Judgment. Care. These do not behave like land or labor-hours. They are not divided when shared. They grow.
Two people splitting a field each get half. Two people sharing a sense of purpose each get more. A brand’s trust, a teacher’s care, an advisor’s judgment: these compound with use rather than depleting. Build your value there and you are working with a different physics than the scarcity economics most of our management theory was built on.
Put the two together: a collapsing-cost substrate beneath a compounding, expandable human layer on top.
The firm that builds on top compounds.
The firm that fights beside erodes.
This is the strategic fact. This is the sorting. And the window to choose your posture is closing faster than most leaders realize.
What “On Top” Actually Looks Like
This is abstract until you make it concrete. So let me show you the shapes it takes.
In each case, notice the same move: let AI own the how at scale, and sell the why. The judgment. The trust. The taste. The care. The accountability that sits on top.
Advisory and Professional Services
The machine does the research. The first draft. The model. The analysis. It does these things faster than any human team, and soon it will do them better too.
The human owns the judgment. Is this right for you? In your situation? With what is at stake? The human owns the relationship and the accountability that a client will actually pay for.
The firm competing beside AI sells “documents faster.” The firm on top sells “I will stake my name on this being right for you.”
One of those is a commodity. The other is not.
Education and Training
AI can generate endless material. Practice problems. Explanations. Tutorials. Feedback on student work. The content layer is becoming free and infinite.
What AI cannot generate is the mentorship. The meaning. The group. The sense of why this matters to your life. The transformation that turns information into changed behavior and expanded possibility.
The content is free. The in-spiriting is the product.
This is the bet behind a small venture in my own family, one I will say more about in Part 3. But the principle is already visible everywhere: the courses that matter are not the ones with the best video production. They are the ones where someone cares whether you actually change.
Health and Care
AI increasingly supports diagnosis. It handles documentation. It catches patterns in imaging that human eyes miss. The analytical layer is being automated, and in many cases improved.
The enduring human value is presence. Trust. Care under real stakes. The things a frightened person needs from another person. The machine drafts the chart. The human carries the relationship.
Hospitals that compete beside AI will try to replace nurses with algorithms. Hospitals that build on top will use algorithms to give nurses more time for the presence that heals.
Brand, Design, and Culture
AI generates a thousand variations in a minute. Images. Copy. Layouts. Concepts. The production layer is becoming trivially cheap.
Taste becomes the scarce act. Vision becomes the scarce act. Cultural meaning becomes the scarce act. Knowing which of the thousand matters, and why, and what it signals about who we are and what we stand for.
Curation and intent on top of infinite generation. That is the new shape of creative work.
The Contrast Cases
The failures are everywhere too, and they are instructive.
The content farm racing AI to publish more words. The commodity service shop selling “we use AI so we are cheaper.” The consultancy that treats the model as the product instead of the foundation.
They are competing beside. On volume and price. And the floor is falling out beneath them.
The throughline is simple: AI makes output abundant. That makes discernment, purpose, and trust the scarce and valuable things. Whoever owns those owns the top of the ladder. And the margin.
The Trap of the Familiar Yardstick
If this is so clear, why does not every company simply move on top?
Because the entire apparatus of modern management was built to measure the lower rungs.
Output. Throughput. Utilization. Cost per unit. Cycle time. Efficiency ratios.
Those instruments are precise. They are comfortable. They generate dashboards that executives know how to read and boards know how to evaluate. And they are now pointed at exactly the work that is being commoditized.
An organization that can only see and reward lower-rung value will keep optimizing the very thing AI is making worthless. It will starve the top-rung value it cannot even name. It will feel productive while becoming irrelevant.
This is the trap. Not a technology trap. A measurement trap. A vocabulary trap.
How do you measure judgment? How do you reward taste? How do you evaluate the quality of care, or the depth of trust a client places in your team? These are hard questions. Most organizations have never had to answer them, because the lower rungs were where the value lived. Now the lower rungs are being automated, and we find ourselves with instruments calibrated for a world that no longer exists.
That is not a technology problem. It is a leadership and governance problem.
And it is the subject of Part 3.
The Urgency
I want to be direct about why this matters now.
The sorting is happening. Companies are choosing their postures, often without realizing they are choosing. The decisions being made this year about how to deploy AI, where to cut costs, what to measure, and what to reward will compound for years. The firms that move on top early will build advantages that are hard to replicate. The firms that stay beside will find themselves in a tightening vise of commodity competition, each quarter more brutal than the last.
This is not a five-year trend to watch. This is a one-year window to act.
The good news is that moving on top is not about massive capital investment or technological sophistication. It is about clarity. About choosing to build human value where human value actually compounds. About having the courage to stop measuring what the machine does better and start measuring what only humans can do.
You cannot build on a layer you have no words for. The first act of leadership in the age of AI turns out to be, of all things, the expansion of our vocabulary. We need language for judgment. For care. For purpose. For the breathing of meaning into work that would otherwise be just output.
That vocabulary, and the governance structures that flow from it, will be the subject of Part 3. For now, sit with the question: Is your organization competing beside AI, or building on top of it?
The answer will determine more than you think. And the time to choose is now.
