There is a paradox that apparently nobody in the public conversation has noticed. The same people who say “nobody wants to work anymore” also say “there aren’t enough jobs for everyone.” Both of these things are said constantly. Often by the same person. Sometimes in the same sentence.

If nobody wants to work, why are we worried about not enough jobs? If there aren’t enough jobs, why are restaurants putting up “NOW HIRING” signs on every window?

The answer is that both claims are wrong in the same fundamental way. They both assume that “work” is a fixed pie – a specific amount of stuff that needs doing, and the only question is how to slice it up. This assumption is behind every scheme to “share the work” and “spread the jobs around.” And it is completely, demonstrably, stubbornly wrong.

The Fixed-Work Fallacy: The Bug in Everyone’s Mental Model

Here is how most people think about work. They imagine the economy as a warehouse with a set number of boxes to move. If a forklift shows up and moves half the boxes, then half the workers have nothing to do. So you either ban the forklift or you make everyone work half-days.

This mental model feels intuitive. It is also nonsense.

There is no fixed amount of work. There never has been. As long as a single human need or want goes unsatisfied – as long as someone wants better healthcare, faster internet, tastier food, cleaner energy, more entertaining content, a nicer apartment – there is work to be done. The amount of potential work in the world is effectively infinite.

When ATMs replaced bank tellers, the number of bank branches actually increased because they became cheaper to operate. More branches meant more bank employees overall, doing higher-value work. When spreadsheets replaced accountants doing arithmetic by hand, the demand for financial analysis exploded. When automated looms destroyed weaving jobs in the 1800s, clothes became cheap enough that ordinary people could own more than two outfits, creating a massive textile industry that employed far more people than hand-weaving ever did.

Every time we automate one task, we free up humans to do other things. Things that were previously too expensive, too time-consuming, or that nobody had even imagined yet. The forklift did not eliminate jobs. It created an entire logistics industry that moves billions of packages a year and employs millions of people who would otherwise still be carrying boxes on their backs.

But the fixed-work fallacy persists. And it keeps producing terrible ideas.

When Job Protection Becomes Job Destruction

You see this most clearly in rigid labor rules. Not the ones about safety or fair pay – those make sense. The ones about who is allowed to touch what.

In some construction unions, an electrician cannot move a piece of lumber that is in the way of their work. That is the carpenter’s job. The carpenter cannot adjust a pipe. That is the plumber’s job. The plumber cannot touch a tile. That is the tile setter’s job. If any of them do someone else’s task, both the person who did it AND the person who “should have” done it get paid.

In the film industry, the jurisdictional rules are legendary. You might have a grip, an electrician, a rigger, and a set decorator all standing around watching each other because the thing that needs doing crosses two job descriptions and nobody can touch it until both the right people are present.

On some railroads historically, every tiny operation was owned by a specific labor class. One person to do the thing. Another person to watch. A third person to fill out the paperwork. Eliminate any one of them and the union files a grievance.

The intention behind these rules was to protect jobs. The actual result is that it costs three times as much to build anything. Those costs get passed to customers. Everything from apartment buildings to movie tickets gets more expensive. And when everything is more expensive, everyone is poorer – including the workers these rules were supposed to protect.

The irony is perfect. Rules designed to create more jobs destroy the economic conditions that actually create jobs: affordable production, competitive pricing, and growing demand.

The 4-Day Work Week: Old Wine in a New Mug

Now let us talk about the latest version of work-spreading: the 4-day work week movement.

The pitch is seductive. Work four days instead of five. Same pay. Happier workers. Equal or better productivity. Win-win-win. Who would say no?

Well, let me walk through the math. There are really only two versions of this, and neither works the way the headlines suggest.

Version 1: Cut hours, cut pay proportionally. You go from 40 hours to 32 hours and get paid 80% of what you made before. More people get hired to cover the missing hours. Sounds fair. But here is the problem – every existing worker just took a 20% pay cut to subsidize new hires. You did not create wealth. You redistributed it. You took money from people already working and gave it to new hires. The total output is the same. The total payroll is the same. You just split the same pie into more slices.

No worker in history has enthusiastically volunteered for a 20% pay cut so that a stranger could get hired.

Version 2: Cut hours, keep the same weekly pay. This is the popular version. You work 32 hours but get paid for 40. The company absorbs the cost. Productivity magic makes up the difference, right?

Sometimes, in some industries, for some period of time, this works. There are real trials showing that compressed schedules can maintain output. When you cut meetings, eliminate busywork, and force focus, some knowledge workers do produce the same results in fewer hours.

But here is what the breathless LinkedIn posts do not tell you. Those trials are overwhelmingly in white-collar, knowledge-work settings. If you run a factory, a hospital, a restaurant, a warehouse, a construction site, or basically any job where output is directly tied to hours present – you cannot compress your way to the same production in fewer hours. A nurse cannot heal patients 25% faster. A bricklayer cannot lay bricks 25% faster (and if they could, they already would be, because they get paid for it). A short-order cook cannot make eggs appear sooner by having fewer meetings.

For these jobs – which are most jobs – a mandated shorter week means either less output or higher costs. Higher costs mean higher prices. Higher prices mean everything you “gained” from the shorter week you lose at the grocery store.

France Tried It. Let Us See How That Went.

France introduced the 35-hour work week in 2000. It is one of the largest real-world experiments in mandated work-sharing ever attempted.

The results are … instructive.

French companies responded by hiring more part-time workers and restructuring schedules. Labor costs went up. Small businesses were hit hardest because they had the least flexibility to absorb the change. Many simply stopped hiring. Youth unemployment remained stubbornly high – above 20% for years.

The workers who already had jobs got shorter hours. The workers who did not have jobs still did not have jobs. And French productivity growth, which had been strong, slowed down. Companies responded to the higher per-hour labor costs by investing in automation and offshoring – the exact opposite of creating more employment.

The law has been relaxed and modified repeatedly since then. French workers can now work overtime, and many do. The 35-hour week exists on paper, but the reality is much messier. What remains is a tangle of regulations that makes hiring in France significantly more complicated and expensive than in neighboring countries.

The lesson is not subtle. When you mandate shorter hours at the same pay, you raise the effective cost of labor. When labor costs go up, businesses hire fewer people, not more. The scheme that was supposed to reduce unemployment made it worse for the people who needed jobs most.

The Gig Economy: Accidental Work-Spreading

Here is an interesting twist. While governments were trying to force work-sharing through regulation, the market went ahead and did it on its own – through the gig economy.

Uber, DoorDash, TaskRabbit, Fiverr, Upwork. These platforms let people work exactly as much or as little as they want. A college student drives Uber on weekends. A retiree does consulting on Upwork Tuesday mornings. A parent does TaskRabbit gigs while their kids are at school.

This is actual work-sharing. Voluntary, flexible, driven by individual choice. Nobody mandated it. Nobody passed a law. The technology made it possible, and millions of people adopted it because it fit their lives.

And it works precisely because it is voluntary. Nobody is forced to take a pay cut. Nobody is forced to hire someone they do not need. Nobody is forced to produce less. The work gets distributed naturally, based on who wants to do it, when they want to do it, and for how much.

Of course, the gig economy has real problems – lack of benefits, income instability, platform dependency. These are worth solving. But the core mechanism of voluntary flexible work beats mandated hour cuts every time, because it lets the market figure out who should do what, instead of a bureaucrat deciding from a spreadsheet.

Remote Work: The Actually Good Version

Remote work is another example of the market solving the “distribution of work” problem better than mandates ever could.

Before 2020, if you wanted a tech job, you probably needed to live in San Francisco, New York, Seattle, or maybe Austin. Housing was insane, competition was brutal, and a huge portion of your salary went to rent.

Now a developer in Krakow, a designer in Medellin, and a product manager in Lisbon can all work for the same company. Work got “spread” around the world – not because a government mandated it, but because the technology made it efficient and a pandemic made it necessary.

The result? More people working. More companies hiring. More flexibility. More geographic diversity in who gets access to high-paying work. This is genuine spreading of opportunity, and it happened without a single regulation forcing it.

The contrast with mandated work-sharing is stark. One approach says: “We will force companies to hire more people by making everyone work less.” The other says: “We will make it possible for more people to work by removing geographic barriers.” One reduces production. The other expands it.

Why This Matters Right Now

We are entering an era of massive AI-driven automation. The “fixed work” people are already panicking. “AI will take all the jobs! We need to mandate shorter hours! We need to spread the remaining work!”

If history is any guide – and it is, because this has happened with every major technology since the printing press – automation will eliminate specific tasks, create new kinds of work, and increase total output. The transition will be painful for some people in some industries. That pain is real and worth addressing with retraining, safety nets, and transition support.

But mandating that everyone work fewer hours, or that specific tasks can only be done by specific people, or that companies must hire more workers than they need – these are schemes that look compassionate on the surface and make everyone poorer underneath.

The fix for “not enough jobs” has never been to split existing jobs into smaller pieces. It has always been to create the conditions where new jobs emerge: affordable production, competitive markets, flexible labor, and technology adoption.

The Takeaway

The impulse to share work is understandable. When you see someone unemployed and someone else working 50 hours a week, it seems obvious – just split the difference. Give some hours from one person to the other.

But the economy is not a pie. It is a garden. You do not make a garden more productive by giving each plant less water so you can water more plants. You make it more productive by getting more water, better soil, and more sunlight. Then more plants grow than you ever thought possible.

Every scheme to “spread the work” – whether it is featherbedding rules, mandatory hour cuts, or artificial job subdivision – treats work as something to be rationed. But work is not scarce. Human wants are infinite. The only thing that is scarce is the productive capacity to satisfy them. And every rule that reduces productive capacity in the name of fairness makes everyone – including the people it claims to help – worse off.

The path to more employment is not dividing existing work among more people. It is creating the conditions where more work gets done, more efficiently, by people who choose to do it. The best “work-sharing” program ever invented is a growing economy. Everything else is just rearranging deck chairs.