The Robot Tax Trap: Why Bill Gates Is Wrong and Jensen Huang Is Only Half-Right

The Robot Tax Trap: Why Bill Gates Is Wrong and Jensen Huang Is Only Half-Right

As President of the Free Republic of Liberland, I spend a great deal of time thinking about how societies can prosper without the heavy hand of the state. Our philosophy is simple: Live and let live.

The emerging debate between Microsoft co-founder Bill Gates and Nvidia CEO Jensen Huang over taxing artificial intelligence and robotics goes to the heart of that question.

Gates wants governments to tax robots and AI usage in part to slow the replacement of human workers and finance retraining and social programs. Huang takes a very different view: greater productivity creates new investment, new ambitions and ultimately new opportunities.

From Liberland’s perspective, Gates is wrong — and Huang is only half-right.

Bill Gates and the Luddite Fallacy

Gates has advocated some form of “robot tax” for nearly a decade. His latest proposal would tax robots and AI tokens, deliberately reducing the economic incentive to replace human labor with machines. 

This gets the problem backwards.

Human prosperity has always depended upon finding ways to produce more with less labor. From the plow and steam engine to electricity, computers and industrial robots, technological progress has displaced particular jobs while dramatically expanding what human beings can produce and consume.

Taxing automation means taxing productivity.

And who really pays a “robot tax”? Robots do not have bank accounts. People pay taxes: entrepreneurs, shareholders, workers and ultimately consumers.

Gates himself uses AI tools because they can answer questions and perform tasks faster than humans sometimes can. That is precisely the point. AI makes scarce human time more productive. Why should society penalize people for using a tool that allows them to accomplish more?

Gates argues that automation threatens the existing tax base: fewer workers could mean less payroll and income-tax revenue precisely when governments may face greater demands for social assistance. 

Liberland draws the opposite conclusion.

If technological progress exposes the weaknesses of a government financing system built around taxing human productivity, we should reconsider the financing system — not suppress the technology.

Don’t Put Human Progress in a Preserve

Gates also proposes designating some occupations as “Human Reserved,” protecting them wholly or partially from automation. His examples include areas where human contact may have particular value, as well as jobs whose rapid automation could displace workers who would struggle to change careers. 

There is nothing wrong with believing some things are irreplaceably human. Consumers should be free to choose a human doctor, teacher, craftsman or caregiver even when an automated alternative exists.

But there is a profound difference between choosing human interaction and having government bureaucrats decide which technologies people may use and which jobs must be protected from competition.

Central planning did not work in the 20th century. Adding artificial intelligence to the equation will not make bureaucrats better at predicting the future.

Jensen Huang Understands Growth — But Compromises

Jensen Huang’s instincts are much closer to the mark. He argues that productivity allows businesses to expand their ambitions rather than simply pocket savings and eliminate workers. He expects AI to create enormous new economic opportunities and employment. 

We share that optimism.

AI and robotics could drive an extraordinary wave of entrepreneurship, scientific discovery and reindustrialization. Many of the jobs created by that transformation probably have not even been imagined yet.

But Huang stops short when he says he favors taxes as a way for productive people and companies to “contribute back to society.” 

Here Liberland parts company with him.

Society and the state are not the same thing.

People do not need a coercive government apparatus to contribute to their communities. Businesses, charities, mutual-aid organizations, investors, families and individuals can support education, infrastructure, retraining and people going through difficult economic transitions.

And unlike compulsory taxation, voluntary institutions must continually persuade people that they are producing something worth supporting.

The Liberland Alternative: Let Innovation Run

Much of today’s anxiety about AI assumes that government must somehow manage the transition: decide which jobs should survive, determine how quickly automation should proceed, tax the machines and redistribute the proceeds.

Liberland begins from a different premise.

Let people adapt.

Let entrepreneurs experiment.

Let companies invest.

Let workers learn new skills.

Let communities develop their own solutions.

And let people keep the wealth they create.

AI may prove to be one of the greatest wealth-generating technologies in human history. Taxing it precisely because it makes us more productive would be an extraordinary mistake.

The printing press displaced scribes. Tractors displaced farm labor. Computers displaced armies of clerks. Yet humanity became vastly richer because we allowed technology to free human beings from old forms of labor and create possibilities that previous generations could scarcely imagine.

AI deserves the same freedom.

Let the machines work. Let markets adapt. Let people prosper.

Live and let live,

Vít Jedlička
President
Free Republic of Liberland