The AI Economy and the Looming “Dot-Com” Reckoning

I recently shared a list of observations on social media regarding the current state of Artificial Intelligence, and the more I look at the data, the less it makes sense. We are living in a moment where “expert” conclusions are being sold as gospel, yet the underlying math doesn’t add up.

By Alexander Hernandez, J.D., Professor, and Author of Consumer Bankruptcy Law (Routledge).

Listen: The Professor’s Audio Briefing.

Key Takeaways: The AI Economy & The Coming Reckoning

• The Profitability Contradiction: Current AI models are “money-losers” fueled by venture capital. Without a clear path to monetization that covers staggering costs, we are repeating the 1999 Dot-Com bubble.
• The Tax Base Crisis: Our society is funded by labor through payroll and property taxes. If AI replaces the middle class and we eliminate property taxes, we effectively “defund civilization,” leaving no revenue for local, state, or federal government services.
• The UBI Contradiction: You cannot fund Universal Basic Income (UBI) if the tax base is dead. If AI replaces the human worker, there’s no revenue for UBI to depend on.
• The “Tool Belt” Fallacy: While trades are valuable, an oversupply of displaced office workers will crash trade wages. Furthermore, a jobless middle class cannot afford $250,000-a-year plumbers.
• The Legal Firewall: The legal profession won’t be replaced; it will evolve into a massive litigation engine to manage the fallout, errors, and liabilities of AI systems.

Part 1: The Profitability Contradiction

Let’s start with a hard truth: AI is currently a money-losing venture. The subscriptions people pay for tools like ChatGPT don’t even begin to cover the staggering electrical, hardware, and development costs required to run them. These companies are heavily in debt, fueled by billions in venture capital and corporate investment.

The question no one can answer is: How does this become profitable tomorrow?

We are told that we’ll never have to work again. Elon Musk is a primary cheerleader for this “post-labor” future, and that AI will “take care of everything.” But if we don’t have a clear path to monetization for the product itself, we are staring down a repeat of the 2001 Dot-Com Bust.

 When that bubble burst, the ripple effects decimated the stock market and the broader economy. Today, we are facing that same risk, but with the added weight of inflation, global conflict, and rising fuel costs.

The Cost of Efficiency

If AI is going to take over, it is starting by clearing the room with massive layoffs. This week, Oracle laid off 30,000 employees via a cold, automated email. This follows Amazon’s recent cut of 15,000 roles. This leads to a fundamental economic question: If AI makes everything, who has the money to buy it?

For example, if I want to play a round of golf, and AI made the clubs and maintains the course, where do I get the money for the green fee? Is the golf course free now? If so, how does the course cover its costs or pay for the AI?

The UBI Trap and the Death of the Tax Base

When you follow this logic to its inevitable conclusion, you always land in the same place: Universal Basic Income (UBI). It sounds good, except it seems to me that is a pivot toward the very socialism that our current political system claims to despise. We are creating a system that destroys jobs, offers no clear profit model, and then suggests the government should just hand out “basic income” to keep the engine running. But where is the tax base to make this happen?

Our entire society is funded by the “paycheck” model. We go to work, we get paid, and a portion is carved out for the government that uses those funds for the public good. Florida serves as an example of this very issue.

In Florida, there’s a growing movement to eliminate property taxes, with Governor DeSantis recently suggesting that wealthy out-of-state investors will fill the gap. This is a fantasy. One “rich guy from Brazil,” as mentioned by the Governor, buying a condo in Miami is not going to maintain the entire Florida infrastructure. He’s not even going to maintain one block. Start with the legal system.

Where do we get the funds to maintain courthouses and staff, including judges and prosecutors? Where do we find the funds to pay police and teachers? What about the roads, traffic lights, and emergency services we all depend on?

If the middle-class worker is replaced by an AI that doesn’t pay income tax, and we eliminate the property taxes that fund our local communities, the entire system collapses. We are looking at the potential “defunding” of civilization itself, all in the name of a technology that hasn’t even proven it can pay for its own electricity.

The UBI Nightmare: Equity vs. Equality

This brings me to the most popular “solution” to the AI job apocalypse: Universal Basic Income (UBI). Proponents paint a rosy picture where the government simply cuts everyone a check, let’s say $2,000 a month, and we all live happily ever after in a post-work utopia.

But as a lawyer who has spent nearly three decades looking at how money actually moves through a household, I see two massive, unresolved flaws in that plan.

The Legacy Problem

First, UBI fails to account for the life you have already built. Does a 26-year veteran attorney, who has spent a career building equity and maintaining a home with a yard and a pool, suddenly move into the same government-subsidized “Standard Housing Unit” as a 19-year-old who has never entered the workforce? What if my neighbor’s mortgage is higher than mine? Do we still get the same amount of money?

In a world where everyone makes the same flat rate, the concept of “prime earning years” vanishes. How do we decide who gets the bigger house or the better view if the financial ladder has been kicked away? The math of complete dependency on UBI ignores the reality of human ambition and the equity that people have spent their lives securing.

The Ambition Gap

Second, we face a critical Incentive Problem. Why would someone choose a high-pressure job if we all earn the same, or close to it? What is the incentive to handle capital murder trials or narco trials if your income is limited?

If the plumber makes the same $2,000 a month as a librarian or teacher, why earn a living crawling through a damp crawlspace to fix a burst pipe? Or any other job that places you physically in danger, such as law enforcement?

A society can only function if there is an incentive for people to do the hard, physical, and often unpleasant work that keeps the lights on and the water running. When you remove the ability to earn more through expertise and labor, you don’t just get a leisure society; you get a stagnant one where the very people we are told will “make all the money” have no reason to show up to work. Take a wild guess why communism has always failed.

By the way, where are banks in all this? How does this affect lenders?

Part 2: The Robot Tax Gap and the Death of the Local Budget

There is a fantasy currently being sold to taxpayers, no doubt as we near the midterm elections. The idea that we can eliminate property taxes in a state with no income tax and somehow make up the difference by taxing a few wealthy mansion owners is math that simply does not hold up.

The Sales Tax Increase

As Ohio Governor Mike DeWine has stated, if property taxes were eliminated, then they would be forced to increase sales tax to 20% to make up the difference. Besides, what happens when the “rich guy from Brazil” leaves?

If you think the money you “gain” from losing property taxes won’t be sucked out of your pocket elsewhere, you are 100% wrong. If businesses know you have extra cash because you aren’t paying real estate taxes, that $2 item becomes a $5 item overnight. Meanwhile, the essential services that property taxes fund, police, teachers, and infrastructure, will disappear overnight, leading, of course, to massive unemployment.

One state representative recently put it bluntly during a floor debate: “We are defunding the police” by gutting the property tax base.

You Cannot Tax a Robot (Yet)

This leads me to the Jeff Bezos and Elon Musk model of the future. The focus is shifting entirely to AI and robots to take over for human employees.

Here is the problem: Where is the “Robot Tax” in the IRS code? Don’t bother looking for it; it doesn’t exist. Our entire federal and state revenue system is built on taxing people. We tax income, we tax payroll, and we tax the productivity of human beings. When Amazon or Oracle replaces 15,000 workers with automated systems, that is 15,000 people’s worth of tax revenue that vanishes from the city, the state, and the federal government.

Can we tax AI into oblivion to make up the gap?

The Tech Industry: Good luck getting the “Tech Bros” to sign off on that.

The Legal Hurdle: We would have to rewrite thousands of federal statutes, state and local laws, as well as the Internal Revenue Code, to define what a “taxable robot” even is.

If we don’t find a way to tax the “labor” of a machine, we lose the base that pays for everything, from the salaries of Congress to the lights in your local government building.

NIMBY and the Data Center Disaster

Even if we could solve the tax issue, we have a physical problem: AI Data Centers. Politicians love to run on a platform of “job creation,” but when a data center comes to town, the reality is NIMBY (Not In My Backyard). No one actually wants these massive processing centers in their neighborhood. Why?

• Resource Depletion: A single data center can consume as much as 5 million gallons of water a day. That’s the water for 50,000 people being sucked out of the ground just to cool servers.
• Utility Costs: They put such a strain on the power grid that local residents often see their own utility bills skyrocket. The answer could be solar panels for homeowners and businesses, but the Big Beautiful Bill has decimated the solar industry and is taking the same steps with windmill farms.
• Environmental Blight: Imagine going outside to a constant, high-decibel humming noise and breathing air polluted by massive backup generators.

We are seeing a massive backlash. In just the last year, billions of dollars in data center projects have been blocked or delayed by local communities who realize that the “benefits” of AI are global, but the “costs,” the noise, the dry wells, and the pollution, are strictly local.

Part 3: The Trade School Fallacy and the Legal Evolution

Not one day goes by that articles appear on our feeds or interviews where someone says that the “smart” move in the age of AI is to become a plumber or an electrician. The claim is that these trades will soon be making a quarter of a million dollars a year while lawyers and white-collar professionals are left in the dust. As someone who loves tools and does my own home maintenance, I have to ask: Based on what math?

The Supply and Demand Reality Check

First, if every displaced office worker follows this advice and rushes into the trades, the market will be flooded. Basic economics tells us that an oversupply of labor decreases income; it doesn’t increase it.

Second, it goes back to the income issue. If the middle class is wiped out by AI layoffs, who has the money to hire the $250,000-a-year plumber? If an electrician wants $450 to run a ten-foot line, as one recently quoted me, and the homeowner has no paycheck, that homeowner isn’t hiring a professional. They are going to YouTube. They are going to DIY. I’ve run my own fan lines and separate lighting systems because I could; in an AI-depleted economy, people will do it because they must. As I referenced in a recent article, it’s called the “Cubanization” of the U.S. economy.

Why the Law is Still a Good Bet

Despite the “AI judge” I saw recently in “Mercy,” an excellent movie in my opinion with Chris Pratt, if you watch these movies closely, usually, AI gets it wrong. The fact is, the legal profession will only evolve.

If one of my students were to ask if they should go to law school, I would reply: Yes! AI is not a replacement for a lawyer; it is a massive litigation engine. We are entering an era of endless legal battles over:

• AI-generated plagiarism and intellectual property theft.
• Massive copyright violations.
• The liability of “hallucinating” algorithms.

While AI might reduce the need for three junior associates to do 24-hour research, it cannot replace the deduction, logical reasoning, and courtroom lawyers or negotiators. The work for the next generation of lawyers won’t be in doing what AI does; it will be in suing the people who used AI incorrectly.

The Looming Reality

No matter how many interviews tech giants give that we will be transitioning into a leisure society where robots do the work, and somehow, we don’t have to pay for it, the dream is far from reality.

Until we figure out how to tax a robot, how to fund a courthouse without property taxes, and how a plumber gets paid by a jobless homeowner, the “AI Revolution” looks less like a utopia and more like a systemic collapse waiting to happen.

Part 4: The Tool Belt Generation Myth

There are consistent remarks that the “Tool Belt Generation” will out-earn the professional class. Besides the income issue, there’s the time issue.

The Plumber’s Hard Ceiling

Let’s look at the math of a workday. A plumber or an electrician is tethered to a physical location. They have to drive to a site, diagnose a physical problem, and manually repair it.

The Reality: A busy plumber might manage two or three major jobs in a day if they are pushing it. If they try to juggle more, a half-day job turns into a five-day ordeal as they jump from site to site.

The Revenue Cap: Their income is strictly limited by the number of hours they can physically move their hands.

The Lawyer’s Leverage

In contrast, the legal profession is built on a model of high-volume case management. When I was in active practice, my caseload for divorces alone sat at approximately 115 cases. That didn’t include my criminal and personal injury files, or the 40% of my practice dedicated to bankruptcy. At any given time, I had more than 250 ongoing cases.

A lawyer can see 20 clients in a single day. We aren’t doing the work we are hired for, such as filings, hearings, mediation, or trial, right then and there; we are only being retained. We are managing a portfolio of legal issues. A plumber cannot take on 20 customers in a day, but a lawyer can be retained by 20 clients in a day.

Follow the Money

There is also a simpler truth: Lawyers are not idiots. If it were true that plumbers were consistently bringing in $250,000 a year while lawyers were struggling on welfare, the legal market would correct itself instantly.

1. New Specializations: Lawyers would simply move into representing plumbers, handling their contracts, their liability suits, and their supply-chain disputes.
2. Business Pivot: We would see a mass exodus of lawyers entering the plumbing supply business. A path that worked out quite well for Congressman Markwayne Mullin.

Lawyers go where the money is. The idea that a highly educated, adaptive class of professionals would sit idly by while a different sector “corners the market” ignores the fundamental nature of the American economy or greed.

The Logic of the Looming Transition Economy

The “Tool Belt Generation” is a compelling counterpoint to the narrative for a world scared of AI, but it falls apart when you look at the tax base, the lack of consumer disposable income, and the inherent adaptability of other professions.

Lawyers won’t be replaced by AI; they will use AI to manage those 250 cases more efficiently, while the DIY-homeowner, strapped for cash in a jobless economy, learns to solder their own pipes via YouTube.

Part 5: Self-Preservation: Why the “Rule of Law” Won’t Yield to the Robot

There is a final, “common sense” barrier to the total AI takeover that proponents often ignore. Our society is governed by laws, and those laws are written, argued, and enforced by a specific class of professionals: lawyers and judges.

The Legal Firewall

Do we really believe that the legal profession, the very group responsible for the existence and enforcement of every statute on the books, is going to allow a system to be created that wipes them out completely?

History tells us otherwise. Look at the immediate legal backlash when companies like LegalZoom or automated form services first appeared. The legal industry didn’t just roll over; it engaged in massive litigation to define what constitutes the “unauthorized practice of law.”

We are already seeing this with AI. Lawyers are stepping in to file lawsuits over data scraping, copyright, and ethics. We aren’t going to write laws that eliminate our own careers.

The Lobbyist Wall: Doctors, CPAs, Realtors, and Everyone Else You Can Think Of

This isn’t just a legal phenomenon. It extends across the entire professional spectrum. Whether it’s the AMA (American Medical Association) or the dental associations, these groups will use their immense lobbying power to ensure that robots don’t replace doctors and dentists. The same applies to CPAs, Realtors, and everyone in between.

The idea that every professional industry will quietly stand by is a fantasy. If the professionals are gone, the tax base dies, and the economy stops.

The Entertainment Exception from Bill Gates

Even tech titans like Bill Gates have struggled to define which jobs are safe. Gates recently suggested that Biology (for innovation) and Sports were safe. He argued that no one wants to see robots playing baseball. I couldn’t agree more.

The human drama is what makes sports and movies compelling. But even if we only have entertainment left, the logic still fails.

AI might build the stadium, sew the gloves, and maintain the field. AI might even generate the movies as we’ve seen with the recent $600 million Ben Affleck/Netflix/AI deals. But how do we fill the seats?

If the fans and the moviegoers don’t have jobs because they’ve been replaced by AI, who is buying the tickets? Who is paying for the streaming subscription?

The Ultimate Business Plan: “Figure It Out Later”

Right now, every major corporation is jumping on the AI bandwagon with a business plan that essentially says: “We have to do this, but we don’t know how to make money from it yet. We’ll figure that out later.”

As a lawyer who has spent two decades in bankruptcy and who requires students to create a business plan in my Business Law class, I can tell you that “figuring it out later” is not a strategy, but a one-way ticket to a collapse. Until these companies can explain where the money comes from to pay for the products the AI makes, the entire system is built on a foundation of sand.

The Professor’s Conclusion: The Revolt and the AI Reckoning

This brings me to the final, human variable in the AI equation: people. If we expect people to go quietly down this path of automation and leisure, the answer is a resounding no.

History provides a clear precedent. When technology threatens the survival of a class of people, they don’t just retrain or upskill; they fight back.

In the 19th century, the Luddites smashed the weaving looms that threatened their livelihoods. In 2026, the modern version won’t involve sledgehammers, although I’m sure we will see some of that, too, but it will involve the very systems AI proponents think they’ve bypassed.

We will see a wave of litigation that ties up AI companies in discovery for decades. We will see doctors refusing to certify AI-generated diagnoses, and realtors lobbying for mandatory “human-in-the-loop” laws to protect the integrity of the home-buying process. From call centers to courthouses, there will be a reaction.

We are currently in the “hype phase” of a massive speculative bubble. Just ask Musk or Bezos if they have replaced their lawyers. The fact is, the AI hype is nothing more than to jam AI down our collective throats. It is the classic bait-and-switch.

The disinformation that AI will simply lead us down the path of a work-free environment is nothing more than an attempt to get you to use AI more so that you can train it for free.

The fact is that the AI model has become a get into massive amounts of debt and figure out later how to make money model. If that were a viable plan, I would go buy a million-dollar cabin in the woods that is self-sustaining and figure out how to pay for it later.

If the AI economy drains the cash and revenues that American households create, then the AI economy itself will eventually starve to death in the house of cards it built.

So, what happens next? Stick around. Whether it’s a revolution or a collapse, the future is coming, and it won’t be as quiet as the tech giants think.

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