Tax the Robots, Not the Workers

Tax the Robots, Not the Workers

Over the past few months I’ve been writing about the growing wave of corporate layoffs beginning to ripple through the tech sector. What we’re seeing now is likely just the opening chapter. Recently, Oracle and Amazon signaled plans that could lead to more than 30,000 combined job cuts. And that’s before the next generation of automation tools fully hits the workforce.

If you’re paying attention, the direction of travel is obvious: artificial intelligence is going to replace a meaningful share of routine white-collar work.

So the question isn’t whether the labor market is about to change dramatically. It’s what we do about it.

If We Want More Jobs, Stop Taxing Them

There’s a simple economic principle that policymakers often forget: we tax the things we want less of.

We tax cigarettes because we want less smoking. We tax pollution because we want less pollution.

Yet when it comes to the labor market, we heavily tax the very thing we claim to want more of: human work.

Payroll taxes, employment taxes, and a host of regulatory costs all make hiring people more expensive. At the exact moment when AI is making it cheaper to replace workers, our policy framework continues to penalize the act of employing them.

That’s backwards.

If the goal is to preserve employment and stabilize communities during a period of technological disruption, the rational policy response would be to shift the tax burden away from labor and toward automation.

Even the AI CEOs Are Saying It

What’s remarkable about this moment is that the idea isn’t coming from critics of artificial intelligence—it’s coming from the people building it.

Dario Amodei, the CEO of Anthropic, has been making an unusually candid argument. His company produces the AI model Claude, and he has publicly acknowledged that systems like it could automate up to 50% of entry-level white-collar jobs within the next several years.

His solution? Tax the industry.

Amodei has proposed a 3% “token tax” on AI revenue, which could generate billions of dollars very quickly. Those funds could help finance programs like Universal Basic Income or other mechanisms to cushion workers during the transition.

Think about that for a moment.

One of the most influential AI executives in the world is openly suggesting that his own industry should be taxed to offset the economic disruption it’s about to create.

And yet lawmakers haven’t seriously engaged with the idea.

Washington Has No Real AI Strategy

At the moment, the policy response to artificial intelligence in the United States can mostly be summarized as: cheerleading and infrastructure subsidies.

Legislators are competing to attract data centers, offering incentives, clearing regulatory hurdles, and generally trying to make their jurisdictions “AI-friendly.” Meanwhile, the AI industry has quietly assembled a lobbying war chest of roughly $185 million, making it a formidable presence in Washington.

But here’s the political reality: the public isn’t nearly as enthusiastic.

Recent polling shows that only about 26% of Americans view AI favorably—a surprisingly low number for a technology that’s supposedly reshaping the economy.

In other words, the political equilibrium we see today probably isn’t stable.

A Backlash Is Coming

History suggests that when technology displaces workers faster than institutions adapt, a backlash eventually follows.

The common argument against taxing AI is that doing so would weaken the United States in its technological competition with China.

But that argument rests on two assumptions that may not actually hold.

First, the AI race is unlikely to be decided by the last marginal dollar spent. The real advantage will come from model architecture, training methods, and the ability of systems to recursively improve themselves.

Second, the global AI ecosystem is already splitting into distinct technological spheres. Chinese AI systems are developing largely within their own regulatory and data environments, while Western systems operate within another.

In other words, modest taxation in the U.S. is unlikely to determine the ultimate outcome of the global AI race.

A Politically Obvious Solution

From a political perspective, the idea of taxing AI instead of workers has an almost unusual level of appeal.

Who exactly would object to shifting taxes away from people and toward automation, especially when leaders of the industry itself are suggesting it?

Workers benefit because it slows the incentive to replace them. Employers benefit because labor becomes cheaper relative to machines. Governments gain a new revenue stream that can help stabilize the economy during a period of massive transition.

And if those revenues are directed back into the hands of citizens—through mechanisms like Universal Basic Income or tax reductions—it could help maintain consumer demand in an increasingly automated economy.

The Real Question

The technology itself isn’t the biggest uncertainty.

Artificial intelligence will continue advancing. Companies will continue deploying it. And the pressure on white-collar employment will continue building.

The real question is whether policymakers are capable of seeing the change clearly enough to respond before the disruption becomes politically explosive.

Taxing AI instead of labor isn’t a radical idea. In many ways, it’s the most straightforward application of basic economic logic.

The question is whether anyone in Washington has the vision—or the political courage—to act on it.