This article is essentially one of those strong warnings about how artificial intelligence could reshape not only jobs, but even the way governments fund themselves.
The core idea comes from a discussion sparked by a digital finance entrepreneur, suggesting something quite radical: within a few years, income tax could lose relevance because many people might no longer rely on traditional employment income. Instead, tax revenue could shift toward AI infrastructure, such as data centers and the computing systems powering these technologies.
The background behind this is the growing fear of an “employment crisis” driven by automation. This is not just theoretical. There are already studies and reports pointing to a decline in entry-level roles, especially in office work, tech, and professional services, which are exactly the areas where AI is advancing the fastest. Some surveys in the UK already show a net reduction in hiring due to automation, while productivity increases at the same time.
The most interesting point is not whether this will happen exactly as described, but the debate it opens. If human labor becomes significantly less central at scale, the traditional model of “you work, you earn, you are taxed on income” comes under real pressure. That leads to alternative ideas like taxing AI usage itself, taxing capital profits more heavily, or even introducing some form of universal basic income to manage the transition.
At the same time, more cautious voices argue this will likely be a gradual transformation rather than a five year collapse. Historically, technology has destroyed certain jobs but also created new ones, although not always at the same pace or for the same groups of people.
In the end, the article is less about “income tax disappearing” and more about a bigger question: if AI keeps advancing at this speed, how do countries fund public services and keep economies stable when human labor is no longer the main source of taxation?
This article is essentially one of those strong warnings about how artificial intelligence could reshape not only jobs, but even the way governments fund themselves. The core idea comes from a discussion sparked by a digital finance entrepreneur, suggesting something quite radical: within a few years, income tax could lose relevance because many people might no longer rely on traditional employment income. Instead, tax revenue could shift toward AI infrastructure, such as data centers and the computing systems powering these technologies. The background behind this is the growing fear of an “employment crisis” driven by automation. This is not just theoretical. There are already studies and reports pointing to a decline in entry-level roles, especially in office work, tech, and professional services, which are exactly the areas where AI is advancing the fastest. Some surveys in the UK already show a net reduction in hiring due to automation, while productivity increases at the same time. The most interesting point is not whether this will happen exactly as described, but the debate it opens. If human labor becomes significantly less central at scale, the traditional model of “you work, you earn, you are taxed on income” comes under real pressure. That leads to alternative ideas like taxing AI usage itself, taxing capital profits more heavily, or even introducing some form of universal basic income to manage the transition. At the same time, more cautious voices argue this will likely be a gradual transformation rather than a five year collapse. Historically, technology has destroyed certain jobs but also created new ones, although not always at the same pace or for the same groups of people. In the end, the article is less about “income tax disappearing” and more about a bigger question: if AI keeps advancing at this speed, how do countries fund public services and keep economies stable when human labor is no longer the main source of taxation?