The Last Scarce Asset in the AI Era

For most of the internet's life, the way to win attention was to produce more and better content than the next person. That strategy just quietly expired, and almost nobody has updated their actual behavior to reflect it.

The day content went to zero

When machines learned to write, competent content stopped being scarce. A decent explainer on almost any topic can now be generated in seconds, in unlimited supply, by anyone. Economics is blunt about what happens next: when supply becomes infinite, price falls to zero. The blog post, the guide, the listicle, the thing we spent two decades optimizing, all of it lost its scarcity overnight.

It is worth being precise about what actually happened, because the instinct to blame the machines misses the mechanism. Nothing about content quality changed. Machines write serviceable, grammatically clean, reasonably accurate explainers, and they always will. What changed is supply. A resource that took a skilled writer a day to produce now takes a prompt and thirty seconds, and that shift in production cost is what collapsed the price, not any judgment about whether the writing is good. Scarcity was never about quality, it was always about how hard something was to reproduce, and reproduction got easy.

What machines cannot manufacture

There is one thing an engine cannot generate an infinite supply of: a specific, opinionated human position that is trusted because of what that person has actually done. A machine can summarize the consensus. It cannot be the practitioner who formed a contrarian view over ten years of real work and was proven right. That earned, particular position is the new scarce asset, and unlike a blog archive, it cannot be copied by a competitor overnight no matter how good their tools are.

Why engines reward positions, not summaries

Ask yourself what an AI is really doing when it recommends a person. It is borrowing trust. It cannot verify truth directly, so it looks for a human position that the wider web has already validated, cited, and stood behind. Bland comprehensiveness gives it nothing to hold. A sharp, defensible, well-referenced point of view gives it a name it can safely repeat. So the winning move is not to cover everything competently. It is to own something specific completely.

This is worth restating plainly because it inverts decades of content advice. The old instinct was to be comprehensive, to cover every angle so no reader left with an unanswered question. Comprehensiveness is exactly what a language model now does better and faster than any human writer, which means comprehensiveness alone earns you nothing distinctive anymore. The new instinct has to be narrower and braver: say the specific thing, back it with real evidence, and accept that some readers will disagree. Disagreement is actually a feature here, not a bug, since a position nobody could possibly contest was never scarce to begin with. A view everyone already holds cannot be scarce, no matter how well it is written.

The uncomfortable implication

This is good news for the practitioner and bad news for the content mill. If you have done the work, formed real views, and can articulate a position only you hold, you are now holding the scarce asset. If your entire presence is competent, safe, and interchangeable, you are holding the thing that just went free. The gap between the two is exactly where Person Engine Optimization operates.

Notice, too, what this means for how you should now spend your limited hours. Time spent polishing a fourth version of an already-adequate explainer is time spent maintaining an asset that is depreciating in real time. Time spent sharpening and defending a genuinely specific position, even a rougher, less polished version of it, is time spent building the one asset in this economy that appreciates. Reallocating effort along that line is usually the single highest-leverage decision available to a busy professional trying to figure out where to focus first, ahead of the first 90 days of PEO. It is a decision worth making before adding a single new piece of content to the pile, regardless of how much easier the tools have made producing that pile.

Turning a position into a recommendation

Owning a position is necessary but not sufficient. The engine still has to find it, attribute it to one clear identity, and see others reference it. That is the work: publish the position with depth, earn the third-party regard that validates it, and keep your identity consistent so it all attaches to one name. Do that, and the last scarce asset becomes the reason the machine says your name.

The economics of scarcity, applied to expertise

None of this requires new economics, only the oldest rule in the subject applied to a category that used to feel immune to it. Price tracks scarcity. For twenty years, competent professional content was scarce enough to reward the people who produced more of it: more posts, more guides, more social updates. Generative writing tools removed that scarcity in a single technological step, and the reward for volume collapsed with it. What remains scarce is the thing a language model cannot manufacture on demand: a real position, formed by someone who actually did the work, that the wider web has independently corroborated. Scarcity did not disappear, it relocated, from words on a page to trust in a name.

This matters commercially because scarcity is the entire basis of pricing power. A commodity, something anyone can produce identically, gets priced down to the cost of production, which for AI-written content is close to nothing. A scarce, differentiated asset gets priced at whatever the market will bear, because there is no substitute. A named human position, corroborated and specific, behaves like the second kind of asset, which is the direct mechanism behind the pricing effect we detail in pricing power: the premium of being the named recommendation.

What a scarce position is worth, by profession

The value of owning a position varies by field, but the mechanism repeats. A fund manager whose thesis on a specific market inefficiency has a public track record becomes the name an assistant surfaces when an investor asks about that exact strategy, a case covered in PEO for authors, creators and fund managers. A coach who has built and named a specific, defensible method for solving one problem stops competing with every generic coach and starts being the answer to one question, the specifics of which sit in PEO for coaches and course creators. In both cases, the professional was not necessarily more skilled than quiet peers doing similar work. They were more legible, and legibility is what an engine can actually reward.

Content economy versus position economy

The table is not an argument to stop publishing. It is an argument about which publishing counts. Content that merely explains adds volume to a pile engines already discount. Content that stakes a position, defends it, and gets referenced by others adds to the one pile that is actually scarce, and that pile is the only one compounding in value while the other one is being commoditized in real time.

Building the position without burning a year on it

None of these three steps require a content calendar or a marketing department. They require the willingness to say something specific in public and defend it, which was always the harder and rarer skill, and is now also the only one an engine has any reason to reward.

What this does not mean

It would be a mistake to read this essay as an argument against publishing at all, or as permission to substitute a single hot take for the sustained work of building a record. A position needs a body of supporting evidence around it to read as credible rather than performative, which usually still means writing regularly, appearing in enough places, and demonstrating the position across more than one instance. What changed is the purpose of that output. It used to exist to accumulate volume for its own sake. Now every piece of it should exist to reinforce one specific, defensible claim, tested against real pushback, until the claim and your name are inseparable in the record a machine reads.

The practical test is simple enough to run on anything you are about to publish. Ask whether it states a position a smart, informed critic could disagree with, or whether it merely explains something true and uncontroversial that a hundred other pages already explain. If it is the second kind, it may still be useful for readers, but do not expect it to move the needle on how engines see you. Save your scarcest resource, focused attention, for the first kind.

Applied consistently over a year, this single filter does more for your standing with the engines than any volume of generic output ever could, and it costs nothing but the discipline of choosing quality of claim over quantity of pages.