Companies are announcing layoffs linked to artificial intelligence every week now, and they’re calling it progress. They say AI tools bring efficiency gains, so downsizing makes sense. Computer science majors who used to walk into good jobs are struggling to find anything. Entry level roles? Automated. It’s a confusing moment for everyone watching this unfold.
Here’s the thing nobody wants to say out loud: AI can’t actually replace most human workers yet. The technical capability isn’t there. So why are firms acting like it is? The answer has nothing to do with what AI can do and everything to do with how executives get paid. After decades of corporate short-termism, companies have invested heavily in these tools and need to show fast returns. Long-term stability doesn’t matter when your bonus depends on this quarter’s numbers.
I’ve been deeply involved in the return to office debate, and one theme keeps coming up. Executives make decisions based on quarterly profits and boosted stock prices, not evidence. Their compensation packages reward short-term thinking. Job security depends on immediate gains, not planning thoughtfully for what comes next. A tech worker told me his story recently, and it showed this dynamic perfectly. His company deployed new AI tools, then started cutting headcount through return to office pressure and hiring freezes. The AI handles a large share of coding now, sure. It also generates a steady stream of mistakes.
Instead of slowing the layoffs or hiring people to fix the errors, management expects remaining employees to work longer hours. On paper, labor costs drop and productivity looks stable. Leadership can claim early success from their expensive AI investments. But the reality is different. The company is stretching remaining workers thinner while relying on imperfect tools that need constant human oversight. A finance worker even told me firms are laying people off specifically to free up financial resources for more AI investment. Let that sink in.
This pattern will spread as the economy faces ongoing uncertainty. Executives get rewarded for short-term gains, so artificial intelligence becomes a convenient justification for shrinking payroll. It creates new problems and risks undermining long-term stability, but that’s somebody else’s problem down the line. Experts believe that Amazon Web Service outage happened because of the loss of experienced workers who knew the systems inside and out. The bigger question is what happens when AI becomes significantly more capable. Firms will feel greater pressure to automate in search of short-term stock price gains. When large numbers of workers lose jobs and incomes, who’s going to buy all the goods and services companies produce?
Replacing labor with machines can boost margins for a while. But society can’t sustain demand for anything with widespread unemployment. The consumer economy that supports corporate profits will falter. The strategy ultimately undermines itself, yet executives have little incentive to think about that contradiction. Their performance gets evaluated quarter by quarter. If profits drop now, they’ll be replaced long before any long-term consequences show up. The system is built to ignore what’s coming.
So how do we avoid AI-driven mass unemployment? We need to start planning for a shorter workweek right now. If AI reduces the need for human labor, the only sustainable way to preserve employment is reducing the total number of hours each worker puts in. When labor demand falls, labor supply has to adjust. Simple economics. This isn’t just about quality of life, though that matters. It’s an economic stabilization tool. A shorter workweek keeps people employed and preserves consumer demand. Society gets to benefit from technological gains without sacrificing economic security.
But here’s the problem. No company will do this on its own. Executives publicly predict that AI will enable a four-day or even shorter workweek. Some talk about it like it’s inevitable. Yet none of them have incentives to actually implement it. Reducing hours without reducing pay doesn’t inflate profits in the short term. For firms driven by quarterly results, it’s a complete nonstarter. The disconnect between what leaders say publicly and what they do internally tells you everything about how these decisions get made.
Public policy has to step in. Governments need a plan to gradually reduce the standard workweek from 40 hours to 36, then 32, and keep going as needed. Society adjusted norms before in response to industrialization. We moved from six-day weeks to five because the old system didn’t work anymore. AI requires a new framework for work that matches what’s actually happening in the economy. Governments can incentivize shorter weeks through tax policy. They can tie AI-related subsidies and benefits to employment protections. A public plan for a shorter workweek is the key to addressing what’s coming.
The transition won’t be simple. You might think this sounds impossible or unrealistic. But avoiding it invites something worse: volatile job markets, widening inequality, recurring economic shocks, and social unrest. A shorter workweek isn’t some utopian fantasy. It’s a pragmatic response to a technological shift that’s already reshaping the labor market. Right now, we’re in this weird space where firms are acting on managerial incentives instead of actual technical capability. That’s why computer science majors can’t find work even though AI makes plenty of mistakes that need fixing.
We have to treat less work as necessary economic planning for an AI-powered world, not some luxury. Act now, and artificial intelligence can strengthen our economy instead of tearing it apart through hasty choices made for next quarter’s earnings call. Wait too long, and workers, families, and communities will pay the price. The cost of inaction gets borne by regular people while executives who made the decisions move on to their next positions. That’s how this always works unless we change the rules.
The choice is still ours, but time’s running out. More firms rush to show returns on AI investments every week. They’re not asking whether these strategies make sense beyond the next earnings report. They’re just doing what the incentive structure tells them to do. If we want a different outcome, we need different rules. That means public policy, government planning, and a willingness to rethink assumptions about work that made sense in a different era. The economy is changing whether we’re ready or not. The question is whether we’ll manage that change or just let it happen to us.