We're Choosing a Dystopia We Don't Have to Live In

We stand at a crossroads, and we're sleepwalking past it.

AI is here. It's making us dramatically more productive. And right now—not someday, not in the future, but this week—major corporations are announcing tens of thousands of layoffs, citing AI as the reason. Amazon: 14,000 jobs. Salesforce: 4,000 customer support roles. Meta: 5% of their workforce. Intel: over 20,000 positions. The list grows every month.

This isn't a prediction. This is happening.

And we're responding with a collective shrug, as if the outcome were inevitable. As if the only possible answer to "AI makes us more productive" is "so we fire workers and give all the gains to shareholders."

But that's not an economic law. That's a choice.

If we make the wrong choice—if we let shareholder primacy dictate that every dollar of AI productivity gain flows to capital owners while workers get unemployment—we're not heading toward a manageable problem. We're accelerating toward societal collapse. Every division we're experiencing right now—economic inequality, political polarization, social unrest—will get worse. Much worse.

We have an alternative. We've done it before. We can split the gains three ways. We can reduce work hours while maintaining wages. We can choose shared prosperity over concentrated wealth.

But only if we wake up and choose it. Only if we stop pretending this will work itself out.

What's Actually Happening

Let me show you what's going on, because it's simpler than you think.

AI tools are making workers significantly more productive. Not a little bit—dramatically. Companies using AI report productivity increases of 20-40% in knowledge work. One worker with AI can do what used to take two or three workers.

That's extraordinary. That's the kind of leap that should make everyone's life better.

Instead, here's what's happening: Companies announce the productivity gains, then immediately announce layoffs. The pattern is consistent. "AI makes us more efficient," they say in the press release. Then come the job cuts. Thousands at a time.

Some executives are explicit about it. One CEO of a language-learning company reduced customer support from 9,000 to 5,000 people. "I need less," he said. Straightforward. Honest. Brutal.

Others are less direct. They talk about "restructuring" and "efficiency" and "adapting to changing markets." But then they mention AI in the same breath. The connection isn't subtle.

And this is just the beginning. The World Economic Forum surveyed employers and found that 40% expect to reduce their workforce where AI can automate tasks. Not might reduce. Expect to reduce.

Here's what makes this particularly insidious: these aren't struggling companies forced to cut costs to survive. Amazon posted $167 billion in revenue in a single quarter. Meta, Microsoft, Google—they're posting record earnings while cutting staff. This isn't desperation. This is strategy.

The workers aren't less valuable. They're not less skilled. The opposite. They're more productive than ever. The AI makes them better at their jobs.

They're just not getting paid for it. They're getting fired for it.

The Logic: Three Choices

When productivity goes up 30%, you have three options. Only three. The math doesn't change.

Option 1: Fire 30% of workers, keep revenue the same, give gains to shareholders.

This is what we're doing. Worker produces more with AI, so we need fewer workers. The remaining workers do the same jobs they did before, just with AI tools. Revenue stays constant or grows. All the productivity gain goes to shareholders as profit.

Option 2: Keep all workers, reduce hours by 30%, maintain total compensation.

Cut the work week from 40 hours to 28 hours. Everyone stays employed. They're working fewer hours but producing the same total output because of AI. Pay stays the same—or even increases slightly, since you're not carrying the overhead of recruiting, training, and benefits for positions you would have hired but didn't need to.

Option 3: Split the gains three ways.

Keep all workers. Reduce hours modestly—say, from 40 to 35. Give workers a raise. Still have significant gains left for management compensation and shareholder returns. Everyone wins, just not as dramatically as shareholders win under Option 1.

Those are the only options. The productivity gain is real. It has to go somewhere. The question is: where?

We're choosing Option 1 every single time. Not because it's the only economically viable choice. Not because Options 2 and 3 don't work. We're choosing it because we've decided—or someone decided for us—that maximizing shareholder value is the only legitimate goal of a corporation.

But that's not an economic law. That's an ideology. And it's a recent one.

How We Got Here

For most of the post-World War II era, productivity gains were shared. When American workers became more productive, their wages went up. When companies made more money, workers got a piece of it.

From 1948 to the early 1970s, productivity and wages rose in lockstep. Worker productivity increased 97%. Wages increased 91%. Nearly identical. If you made the economy more productive, you shared in the rewards. That wasn't radical. That was normal capitalism.

Then something changed. Starting in the mid-1970s, the lines diverged. Productivity kept rising. Wages flatlined. By 2019, productivity had grown 3.5 times as much as typical worker pay. The gap just kept widening.

What happened? A doctrine.

In 1970, economist Milton Friedman published an essay in the New York Times arguing that corporations have one responsibility: increase shareholder value. Not workers. Not communities. Shareholders. Anything else, he argued, was a betrayal of the owners.

The idea caught on. By the 1980s, it was gospel. Corporate raiders justified hostile takeovers by claiming they were "liberating shareholder value" from complacent managers who cared too much about workers. CEO compensation shifted heavily toward stock options, tying executive pay directly to share price. Boards became obsessed with quarterly earnings.

Labor's share of income—the percentage of economic output that goes to workers rather than capital owners—started falling. It's down significantly from where it was in 2000, even though productivity kept climbing.

This wasn't inevitable. We made specific policy choices. We tolerated higher unemployment to control inflation. We let the minimum wage stagnate. We stopped enforcing antitrust laws. We weakened unions. We deregulated industries. We cut taxes on top incomes.

Every one of those choices shifted power away from labor and toward capital. Every one made it easier for productivity gains to flow to shareholders instead of workers.

Now we're doing it again with AI. Same playbook. Same result. Except this time the productivity gains are bigger, the displacement is faster, and the consequences are more severe.

What It Costs Us

Here's what we're choosing when we choose Option 1:

We're choosing mass unemployment in the middle of abundance. We're building machines that can do the work, then deciding that means humans should starve. That's not progress. That's cruelty by algorithm.

We're choosing to accelerate every problem we're already facing. Economic inequality? It gets worse when AI gains go entirely to the top. Political polarization? It gets worse when millions of people lose their jobs and their communities collapse. Social unrest? It gets worse when people watch productivity soar while their prospects crater.

We're choosing to waste human potential. These aren't workers who can't contribute. They're workers who just contributed—who got so much better at their jobs that they made their own positions redundant. And our response is: leave the workforce. Find something else. Good luck.

We're choosing to break the basic social contract that held for generations: if you work hard and contribute, you'll be okay. That deal is dead if productivity gains go only to people who own capital.

This matters beyond economics. When work disappears but wealth concentrates, democracy fractures. People who feel the system has abandoned them don't vote for incremental reform. They vote for anyone who promises to burn it down. We're not headed toward policy debates about tax rates. We're headed toward political chaos.

And here's the thing that should terrify us: This is the beginning. AI isn't done getting better. It's going to keep improving. More tasks will be automated. More productivity gains will happen. If we've decided that all gains go to shareholders, where does this end? When do we stop firing people?

The math doesn't work. You can't have an economy where machines do all the work, shareholders capture all the value, and workers have no income. Eventually, there's no one left to buy things. The whole system collapses.

We're building a future we can't actually live in.

The Alternative We're Ignoring

We've done this before. We've faced a moment where productivity gains threatened to displace workers, and we chose to share the gains instead of concentrating them.

In 1926, Henry Ford cut his factory work week from 48 hours to 40 hours. Not because he was generous. Because he discovered something: workers who worked fewer hours were more productive during those hours. They were less tired. They made fewer mistakes. And they had more time to spend money—including on Ford cars.

Other companies followed. Not out of altruism. Out of economics. The model worked.

By 1938, the Fair Labor Standards Act made the 40-hour work week the law. It wasn't controversial by then. It was common sense. You use productivity gains to improve workers' lives, and everyone benefits.

We could do that now. We could use AI productivity gains to move to a 28-hour or 32-hour work week. Keep everyone employed. Maintain or increase their wages. Let people work less while maintaining their living standards.

Or we could split the gains more evenly. Modest hour reductions. Real wage increases. Still plenty left over for shareholders. Just not 100%.

The math works. The economics work. What doesn't work is the assumption that productivity gains must flow entirely to capital.

What You Can Do

This isn't a problem that fixes itself. The default—the path we're on—leads to disaster. Changing course requires choosing differently.

Here's what matters most: Stop pretending this will be fine.

Talk about this. With your family. With your friends. With your colleagues. Not someday. Now. Because most people don't know this is happening. They don't realize we're making a choice. They think AI displacement is inevitable, like weather. It's not. It's a decision.

The conversation has to start at kitchen tables, not just in boardrooms. This affects everyone. Everyone needs to be part of deciding what happens next.

Then take it further:

Share this post. Get other people thinking about it.

Join movements pushing for alternatives. The 2B movement exists to solve problems like this. Add your voice.

If you're in a position of influence—if you're a business leader, if you employ people—model a different way. When AI makes your team more productive, share the gains. Cut hours. Raise wages. Show that Option 2 and Option 3 work.

If you're a policy maker, write laws that require productivity sharing. Make three-way splits the default, not the exception.

And if you're a voter, make this a voting issue. Ask candidates: "When AI makes us more productive, who gets the gains?" Demand real answers.

The time to act is now. Not when unemployment spikes. Not when social unrest becomes ungovernable. Not when we've locked in a decade of decisions we can't undo.

Now. While we still have the choice.

We're at a crossroads. One path leads to shared prosperity. The other leads to dystopia. Both are possible. Neither is inevitable.

Choose.