The Hidden Economy of Making People Give Up

Jun 24, 2026

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What if the point is not to serve you?

Why do some systems seem designed to help you move quickly, while others seem designed to make every step a test of endurance? Why can you sign up for a service in 30 seconds, yet need half an hour, a phone call, and a minor act of diplomacy to leave it? And why does this pattern show up most painfully in places where the stakes are highest, like healthcare, insurance, and finance?

The easy answer is that some organizations are simply bad at design. The deeper answer is more unsettling: friction is often the business model. In some settings, complexity is not a bug. It is a rationing device, a profit center, or both. The result is a world in which the amount of effort required to do something becomes a hidden price. Sometimes that price is accidental. Sometimes it is deliberate. Often, it is hard to tell which one, and that ambiguity is part of the problem.

This is the real meaning of sludge. It is not just annoying bureaucracy. It is the conversion of time, attention, and patience into a form of currency that is paid by consumers, patients, and workers, but rarely recorded on a balance sheet.

Sludge is what happens when institutions discover they can charge you without calling it a charge.

Sludge is a shadow price

In ordinary markets, price does the sorting. If a burrito bowl costs too much, you do not buy it. If a streaming service is not worth the monthly fee, you cancel it. Price is visible, comparable, and, at least in theory, honest.

But many modern systems, especially healthcare, do not function that way. The true cost is not just the dollar amount. It is the hours spent on hold, the forms that do not accept your answer, the network directory that is out of date, the prior authorization that appears only after you have already chosen the plan. These are not just inconveniences. They are shadow prices. They make access harder in ways that are less transparent than a direct fee but often just as effective.

That is why sludge matters economically, not just emotionally. A system can claim to offer coverage, access, or convenience while quietly making each of those things exhausting to obtain. The institution can then say, with some plausibility, that it has not denied you anything. It has merely required persistence.

This reframes a lot of familiar failures. A bad DMV appointment system is not merely poor service. A confusing insurer website is not merely outdated software. A cancellation process that requires a phone call and a sales pitch is not merely clumsy. It is the deliberate or inadvertent creation of an obstacle course that changes behavior.

The crucial idea is this: sludge is not only what stops people. It is what reshapes their choices before they even know they are being constrained. If finding care is too hard, people delay it. If canceling is too annoying, people keep paying. If comparing options is too time consuming, people choose by accident or default. The system wins not by persuading you, but by outlasting you.

The two faces of friction: incompetence and strategy

One reason sludge is so hard to fix is that it comes in two forms that look almost identical from the outside.

The first is inadvertent sludge. Nobody sat down and decided to make the door handle wrong, the form unreadable, or the website impossible to navigate. The organization simply did not think carefully enough. A famous example is the so called Norman door, where the handle signals pull but the door must be pushed. That is not evil. It is bad design, multiplied across millions of interactions.

The second is strategic sludge. Here the friction is intentional. It is there because friction works. The unsubscribe trap is the clearest example. Signing up is one click. Leaving requires a call, a wait, and a round of retention tactics. The same pattern appears in gyms that make members come in person to cancel, even when they are not allowed to enter the building for exercise. Nobody believes that is an accident.

Most of the real world lives in the gray area between these two poles. A health insurer may not carefully design every annoying feature with a sinister plan in mind, but it also may not invest in fixing obvious pain points because the pain itself reduces claims, lowers utilization, or keeps customers from switching. That makes the distinction between incompetence and strategy less important than it first appears.

What matters is the effect: friction that benefits the institution at the expense of the user.

That insight helps explain why sludge is so common in healthcare. The system is not trying to provide a seamless consumer experience in the way Amazon or Target does. It is trying to ration a scarce, expensive good in a highly fragmented environment, while preserving the appearance of choice. In that setting, complexity becomes politically useful. It is easier to hide tradeoffs in a maze than in a price tag.

When a system cannot say no directly, it often says no by making yes too hard.

Why healthcare is the perfect sludge machine

Healthcare is the clearest example because it combines three ingredients that produce sludge at scale.

First, the stakes are asymmetric. People cannot always wait, shop around, or walk away. If you need a specialist, a test, or a medication, you are not a normal consumer making an optional purchase. You are trying to solve a problem under stress, often with limited information and little time.

Second, the payment structure is distorted. In most markets, prices discipline demand. In healthcare, insurance breaks that link for good reasons, since nobody wants an uninsured patient to pay $80,000 out of pocket for a serious illness. But once price is no longer the main rationing mechanism, some other mechanism has to take over. That mechanism may be waiting, paperwork, network restrictions, or prior authorization.

Third, responsibility is fragmented. Doctors, insurers, pharmacies, employers, benefit managers, and regulators all control different pieces of the experience. So when something goes wrong, nobody fully owns the total friction. Each actor can point to another actor. The user is left carrying the operational burden of a system that no one person designed end to end.

This is why health care sludge feels so absurd. Finding an in network doctor can require calling 25 people. Getting reimbursed for a vaccine can take months. Accessing your own records can require paper forms and payment. Understanding your deductible can require 12 calls, seven representatives, and a spreadsheet. None of those obstacles is the care itself. They are the tax imposed on care by the machinery of care.

Yet there is a grim logic here. If you want a system that controls costs without openly denying needed care, sludge becomes attractive. It reduces demand quietly. It preserves the fiction of coverage while filtering out people who are not sufficiently persistent, informed, or desperate.

That is why the most revealing question about health care sludge is not, “Is this frustrating?” It is, “What behavior is this friction selecting for?” Usually the answer is: people who give up, people who delay, and people who absorb the loss themselves.

The hidden lesson from AI: friction is about to become the battlefield

Now bring in the AI story. If an AI system can build applications, update codebases, and execute multi step programming tasks with minimal supervision, then the cost of reducing friction changes dramatically. The same kind of competence that makes online shopping smooth can now be applied to tasks that used to be buried in workflows, bureaucracy, and internal coordination.

That matters because sludge survives partly because fixing it is expensive. Outdated directories, repetitive customer service, manual authorization checks, and clunky cancellation flows persist not only because companies benefit from them, but because removing them requires real operational effort. In many firms, that effort has not been worth the investment.

AI changes the calculation. It does not automatically eliminate sludge. In fact, it may initially create new forms of it, especially if companies use automation to intensify extraction, personalize retention tactics, or generate even more opaque decision pathways. But it also lowers the cost of designing cleaner systems. That means the old excuse, that making things easier is too hard, will become less convincing.

This creates a new competition: not just between products, but between friction regimes.

One company will use AI to make onboarding smoother, support faster, records clearer, and cancellation easier. Another will use AI to make retention smarter, denials more efficient, and forms more adaptive in ways users cannot easily penetrate. The question is not whether AI increases productivity. It does. The question is who gets to capture that productivity, and whether it ends up reducing the user’s burden or merely improving the institution’s extraction capacity.

In other words, AI does not end the sludge economy. It raises the stakes. When machines can do the work of coordination, the moral and strategic question becomes sharper: will the gains be used to remove friction from human life, or to build better mazes?

A useful framework: the friction audit

If sludge is hidden price, then the best response is not just frustration. It is measurement. The first step is to make the invisible visible.

Here is a simple framework for any service, institution, or workflow:

1. Identify where the user pays in effort

Ask:

How many steps are required to complete a basic task?
How many of those steps are redundant?
How much time is spent waiting versus deciding?
How often does the user need to contact a human to do what software should handle?

If the answer is “a lot,” then the organization is charging effort instead of money.

2. Ask who benefits from the friction

There are only a few possibilities:

The organization saves money by reducing usage.
The organization increases revenue by keeping people enrolled or trapped.
The organization avoids paying for better systems because the current mess is tolerable.
Nobody benefits, which usually means the sludge is pure incompetence.

This distinction matters because each case calls for a different fix. Bad design needs better design. Strategic sludge needs rules, incentives, or public pressure.

3. Look for the “exit tax”

One of the most revealing signs of sludge is asymmetry between entry and exit. If a service is easy to join but hard to leave, the company is not optimizing for customer experience. It is optimizing for lock in.

That is why cancellation traps are so informative. They reveal what a firm thinks customers would do if left alone.

4. Compare the user experience to the firm’s technical capacity

A huge insurer with modern resources should not feel like a website from 20 years ago. If a company can build sophisticated predictive systems, but cannot let you find a doctor or cancel a policy with a few clicks, then the friction is not primarily technological. It is organizational and political.

5. Translate friction into dollars and health outcomes

This is the hardest and most important step. Every hour spent navigating a system has a cost. Every delayed appointment has a cost. Every abandoned claim has a cost. Some of those costs show up later as worse health, higher stress, or higher downstream spending. Sludge is not just a service problem. It is a public health and economic design problem.

Key Takeaways

Treat friction as a real cost. If a system makes you spend time, attention, or patience to get what you are entitled to, that is an economic charge, not just an inconvenience.
Separate incompetence from incentives, but do not get stuck there. Whether sludge is accidental or strategic, the remedy is different, but the user still bears the harm.
Watch the asymmetry between entry and exit. Easy sign up plus hard cancellation is a signature of lock in, not service.
In healthcare, sludge is often rationing in disguise. If price cannot do the sorting, systems will use complexity, waiting, and paperwork instead.
Use AI to ask better design questions, not just faster ones. The next productivity debate is whether automation removes burden from people or helps institutions hide it more elegantly.

The real battle is over who gets to spend your effort

The deepest insight here is that sludge is not merely about poor customer service. It is about power over human effort. Every institution needs some way to ration scarce resources. The moral question is whether that rationing is transparent, accountable, and proportional, or whether it is outsourced to the user’s exhaustion.

That is why the same phenomenon can look trivial in one setting and ethically serious in another. A confusing door is a nuisance. A confusing insurance system can determine whether someone gets treated, how much they pay, and how long they suffer before they receive care. The issue is not only efficiency. It is legitimacy.

The coming wave of AI makes this question impossible to ignore. If machines can eliminate routine complexity, then the continued existence of sludge will reveal something important: not that it is necessary, but that someone still profits from your confusion.

So the next time a form breaks, a cancellation requires a phone call, or a health plan sends you into an endless loop of calls and printouts, do not just ask, “Why is this so bad?” Ask a sharper question:

Who is being protected by my inconvenience?

That question changes the way you see the world. It turns frustration into diagnosis. And once you can diagnose sludge, you are closer to building institutions that do not require people to suffer just to participate.