The Poor Rich
There is a comforting fantasy among the wealthy that economic catastrophe is something that happens to other people. That enough money creates a buffer thick enough to absorb any shock. That when the world contracts, the rich simply contract into smaller, more fortified versions of their current lives — a gated community instead of a neighborhood, a private doctor instead of a hospital, a bunker instead of a house.
This fantasy misunderstands what money actually is. Money is not wealth. Money is a claim on systems. A billion dollars in a bank account is a claim on functioning supply chains, a staffed hospital, a working electrical grid, a pilot willing to fly your jet, a mechanic who knows how to fix it, a farmer growing food, a truck driver delivering it, a power plant keeping the lights on in the data center that stores your account balance. When those systems degrade, the claim degrades with them. The number in the account doesn’t change. What it can buy does.
You are not rich. You are holding a receipt for a civilization that may not be there when you try to cash it.
Pablo Escobar had functionally unlimited financial resources. At the peak of his power, he was spending $2,500 a month on rubber bands just to bundle his cash. And at the end, when the systems around him collapsed — when no country would take him, when no ally would shelter him, when the infrastructure of his life disintegrated — he burned stacks of currency to keep his daughter warm. The money didn’t stop being money. It stopped being useful. It stopped being convertible into the things that money is supposed to buy: safety, comfort, survival. Set aside everything else about his life. In that moment, he was a father with resources and nowhere to spend them. The money was still there. The world it was supposed to purchase was not.
The wealthy in a deep economic collapse face a version of that same severing — not by law enforcement, but by systemic decay. When enough people are displaced, when enough services stop functioning, when enough infrastructure degrades, the rich discover that they were never independent of the economy. They were the most dependent on it. They just had the luxury of not noticing.
The Competence Gap No One Talks About
Wealth creates a kind of learned helplessness that runs in the opposite direction of what people usually assume. When you have never had to figure out how to make a meal from what is left in the pantry, negotiate with a landlord, fix a leaking pipe yourself because you cannot afford a plumber, stretch a tank of gas across a week, or choose between the electric bill and groceries — you lack a survival literacy that poorer people develop out of pure necessity.
This is not a moral judgment. It is a skills gap. And it runs exactly backwards from the narrative the wealthy tell themselves about competence and merit.
There was a photograph of Hillary Clinton some years ago, standing in a middle-class home, and the look on her face was one of complete disorientation. She was not performing confusion — she simply could not process what she was seeing. The environment was so far outside her lived experience that it may as well have been another country. Now imagine that disorientation applied not to a photo opportunity, but to actual survival. Imagine someone who has never cooked a meal from scratch, never repaired anything with their own hands, never had to navigate a world where calling someone to fix the problem is not an option — because there is no one left to call.
The rich have spent their lives in competitive, transactional frameworks. The poor have spent theirs learning that when things get bad, you share what you have with your neighbor because next week you might need them to share with you. That mutual aid reflex is a genuine survival skill, and it does not exist in gated communities.
Poor people know how to collaborate under scarcity. Not because they are morally superior, but because they have no other choice. When you cannot solve problems with money, you solve them with relationships, with resourcefulness, with the knowledge that pride is a luxury you cannot afford when your kid needs to eat. That capacity to cooperate, to improvise, to endure without the scaffolding of comfort — it is a skill set the wealthy have never had to develop. And skills you have never practiced do not appear when you suddenly need them.
The Bunker Fantasy
The prepper billionaire movement — the underground complexes in New Zealand, the fortified ranches in Montana, the island compounds — operates on an assumption that the crisis will be temporary. Ride it out for six months, maybe a year, and emerge into a recovering world. Reboot the system. Reconnect to civilization.
But if AI displacement triggers the kind of decades-long economic restructuring that is coming, no bunker is stocked for that. No island has a self-sustaining economy for that. At some point — and it will come sooner than they think — you need a dentist, a surgeon, a mechanic, an electrician, a plumber. You need someone who knows how to grow food at scale, not as a hobby garden. You need people who know how to fix generators and water purification systems and sewage infrastructure. And those people need to have a reason to help you beyond money that no longer buys what it used to.
What reason do they have? You are the class of people whose companies displaced them. You are the ones who chose AI over employment. You are the ones who sat in boardrooms and made the decisions that destroyed the systems you are now desperately trying to replace with a bunker and a stockpile of freeze-dried meals. And now you need the very people you discarded to keep you alive. That is a conversation most wealthy people are not equipped to have, and most displaced workers are not inclined to make easy.
The irony is cruel but precise: the people best equipped to survive a deep economic collapse are not the ones with the most money. They are the ones with the most practice at surviving without it.
The Trust Problem
Even if the wealthy swallowed their pride and asked for help, why would anyone trust them? These are the same people — or the same class of people — whose companies did the displacing. Whose quarterly earnings calls celebrated headcount reductions. Whose shareholders applauded the margins that came from replacing human beings with software.
Trust, once destroyed at scale, does not rebuild because someone with money suddenly needs something. It rebuilds through demonstrated vulnerability, through shared risk, through proving over time that the relationship is not transactional. That is not a process you can accelerate with a checkbook. And in a world where the checkbook has lost most of its power, what else do you have to offer?
In the experience of poor people there is actually a higher likelihood of extending help to someone in need, even someone from a different world. Not because poor people are saints, but because they understand what it means to need help and not have it. They know the cost of being turned away. They are more likely to open the door. But they will also see through any attempt to convert that generosity into a transaction. The wealthy person who shows up asking for help but still carrying the posture of someone who expects to be served will find that door closing fast.
The wealthy can stockpile supplies, but they cannot stockpile the social capital that makes survival communities function. And supplies without a community are just a slow countdown.
The Public Sector Illusion
Government workers believe they are safe. It is an understandable belief. Government has historically been the employer of last resort, the institution that keeps hiring when the private sector contracts, the anchor of stability in economic downturns. Federal, state, and local governments together employ roughly 23 million people in the United States. Many of those workers have spent their careers believing that the trade-off of public service — lower pay in exchange for job security, benefits, and a pension — would hold.
It will not hold. And the reasons it will not hold come from two directions simultaneously, each reinforcing the other.
The first direction is fiscal. When private-sector displacement drives down consumer spending, corporate profits, and personal income, tax revenues decline. When tax revenues decline, governments face budget shortfalls. And when governments face budget shortfalls, they do what they always do first: they cut people. Not programs, not buildings, not contracts with politically connected vendors — people. Because cutting people is the fastest way to close a gap on a spreadsheet, even though it is the slowest and most expensive thing to actually recover from.
The second direction is technological, and it is the one that most government workers have not yet reckoned with. Government is adopting AI in the same fashion as for-profit businesses — and there is arguably more efficiency to be gained from AI in government than in any other sector of the economy.
The Real Cost of Government
The true source of government cost is not its workers. It is delay. It is the carrying cost of not making progress. It is the meetings about meetings, the committees that produce recommendations for other committees, the layers of review that exist not to improve decisions but to diffuse accountability so that no single person can be blamed if something goes wrong.
Government is populated by people who are, by and large, capable of doing their jobs. The problem is that the systems surrounding them are designed for risk avoidance, not outcomes. There is always someone who is scared to make a decision. So you spend meeting after meeting after meeting talking and doing nothing productive, waiting for a consensus that is really just waiting for someone else to accept the liability. The result is that government takes three to five times longer to accomplish anything than private enterprise.
It is not that government work actually costs more in absolute terms. It is the carrying costs of stalled progress: changes in resource availability, increases in prices during the delay, contract reworking to accommodate the time that has passed, staff turnover that creates knowledge gaps and resets processes from scratch. The delay is the cost. And it is enormous. And exactly why DOGE failed to accomplish anything meaningful. It was applying the wrong solutions to a problem it didn't understand.
Government does not have a spending problem. It has a decision-making problem. And AI is very, very good at eliminating the kind of paralysis that turns a six-week project into a six-month ordeal.
The Procurement Graveyard By Example
An IT department needed to procure services. The process of finalizing the advertisement for those services took so long — through rounds of review, legal clearance, management approval, and bureaucratic cycling — that by the time it was ready to publish, the technology landscape had changed. The advertisement was obsolete before it ever reached a vendor. They had to start the entire process over. Months of work, salaries, and opportunity cost — all consumed by delay, producing nothing.
In another case, a procurement was needed for custom holsters for chemical agents. The canisters in inventory were no longer available for purchase from the manufacturer, which meant no company made standard accessories for them. But the canisters were still usable and staff needed the holsters to carry them safely — you cannot simply put chemical agents in your pocket. Specifications were developed for vendors to produce a sample holster that could be tested prior to bulk purchase. The requirement was clear. The expectation was set in the solicitation. Vendors who responded understood they would need to produce a prototype.
But the procurement staff declined to have all vendors submit prototypes simultaneously. They did not want to burden all of them with making a sample if they might not get the award. The argument was made that any vendor who would be bankrupted by producing a single prototype probably should not have responded to a solicitation that explicitly required one. This argument was overruled. So the submissions came one at a time, weeks apart, starting with the lowest bidders — which produced exactly what you would expect: garbage. And because the procurement needed to be completed within the fiscal year, and because the serialized review process consumed all the remaining time, the fiscal year ended before a purchase could be made. The funding was returned to the general coffers. All of it — the specifications, the reviews, the prototypes, the staff time — was for nothing.
This is not an indictment of government workers. It is an indictment of a system that prioritizes the avoidance of blame over the achievement of results. And it is a system that generates staggering costs not through corruption or incompetence, but through institutional cowardice — the unwillingness to make a decision and stand behind it.
Government also routinely makes future business decisions based on sunk costs, which any first-year business student is taught never to do. Those canisters should have been written off entirely, and new ones purchased with standard accessories. But government cannot bring itself to waste what it has already spent, and so it spends even more trying to salvage the unsalvageable. The private sector does this too, but government has elevated it to an art form.
The AI Efficiency Bonanza
All of this means that government has more to gain from the implementation of AI systems than even private enterprise. The inefficiency in the private sector, while real, is at least constrained by competitive pressure. A company that takes too long to make decisions loses market share. Government has no such constraint. It operates in a monopoly environment where the consequences of delay are borne by the public, not by the institution.
AI does not get scared to make decisions. It does not need three rounds of committee review to approve a procurement that meets clearly defined specifications. It does not serialize vendor evaluations out of politeness. It does not wait for consensus before acting on data it already has. It does not schedule meetings to discuss whether to schedule meetings. It does not lose institutional knowledge when someone retires or transfers.
For an institution whose primary cost driver is not labor but delay caused by labor, AI is not just a cost-saving tool. It is an existential threat to the entire justification for having as many people in the system as currently exist. When the thing that makes government expensive is the human tendency to avoid accountability, and when AI eliminates the need for humans in the accountability chain, the math becomes very simple and very bad for government employees.
And it will happen from both directions at once. Tax revenues will dry up as private-sector displacement reduces the income and corporate tax base, forcing governments to look for savings. And AI will simultaneously present itself as the obvious place to find those savings, because government is where the gap between human-speed decision-making and machine-speed decision-making is widest. The private sector has already been squeezing efficiency for decades. Government has been accumulating inefficiency for decades. The correction, when it comes, will be proportionally larger.
The 23 million Americans who work for government at all levels are not watching the displacement crisis from a safe distance. They are standing in its path, and the wave coming for them may be larger than the one that is already hitting the private sector.
No one is exempt. Not the wealthy, who will discover that money without functioning systems is just paper. Not government workers, who will discover that job security without tax revenue is just a promise no one can keep. Not the CEOs who will discover that the displacement they engineered for others eventually reaches their own doorstep. The economy is not a collection of isolated compartments. It is a single organism, and when you poison one part of it, the toxin circulates everywhere.